S2 Bidang Keahlian Elektronika

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STRUKTUR KURIKULUM BIDANG KEAHLIAN TEKNIK ELEKTRONIKA 2009-2014

No. Kode MK Code

Nama Mata Kuliah (MK) Course Title

sks Credits

SEMESTER I 1 TE.092420

Transduser Transducers

3

2 TE.092401

Sistem Mikroelektronika Microelectronic Systems

3

3 TE.092092

Pengenalan Bidang Riset Introduction to Research Fields

2

4 Mata Kuliah Pilihan Additional optional courses

2

Jumlah sks/Total of credits 10 SEMESTER II

1 TE.092421

Sistem Elektronika Cerdas Intelligent Electronic Systems

3

2 TE.092400

Sistem Rangkaian Elektronika Electronic Circuit Systems

3

3 TE.092094

Proposal Riset Research Proposal

2


2

Jumlah sks/Total of credits 10 SEMESTER III

1 TE.092403 Teknik Pemrosesan Sinyal Lanjut Advanced Signal Processing

3


4

Jumlah sks/Total of credits 7 SEMESTER IV

1 TE.092402

Interaksi Manusia-Mesin Human-Machine Interface

3

1 TE.092099

Tesis Thesis

6

Jumlah sks/Total of credits 9

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Mata Kuliah Pilihan Additional optional courses

No. Kode MK Code


sks Credits

1 TE.092461 Anatomi dan Fisiologi Anatomy and Physiology

2

2 TE.092431 Pengukuran dan Instrumentasi Biomedika Biomedical Measurement and Instrumentation

2

3 TE.092460 Analisa Sinyal Biomedika Biomedical Signal Analysis

2

4 TE.092430 Rekayasa Biomedika Biomedical Engineering

2

5 TE.092463 Rekayasa Klinika Clinical Engineering

2

6 TE.092462 Informatika Medika Medical Informatics

2

7 TE.092432 Topik Khusus Rekayasa Biomedika Special Topics in Biomedical Engineering

2

8 TE.092451 Opto-Elektronika dan Teknologi Laser Optoelectronics and Laser Technology

2

9 TE.092471 Robotika dan Otomasi Robotics and Automation

2

10 TE.092470 Disain Sistem Kontrol Elektronika Design of Electronic Control Systems

2

11 TE.092441 Sistem Elektronika Industri Industrial Electronic Systems

2

12 TE.092453 Pengindraan Visual Berbasis Komputer Computer-based Visual Perception

2

13 TE.092452 Sistem Waktu-Nyata Real-time Systems

2

14 TE.092442 Topik Khusus Rekayasa Elektronika Industri Special Topic in Industrial Electronic Engineering

2

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SILABUS KURIKULUM/COURSE SYLLABUS

MATA KULIAH/ COURSE TITLE

TE 092420: Transduser TE 092420: Transducers Sks /Credits: 3 Semester: I

TUJUAN PEMBELAJARAN/ LEARNING OBJECTIVES

Mahasiswa mampu memahami dan menganalisa prinsip kerja berbagai macam sensor dan transduser. Students are able to understand and analyze the basic principles of various sensors and transducer.

KOMPETENSI/ COMPETENCY

Mahasiswa mampu menganalisa dan merencanakan penggunaan devais transduser pada berbagai bidang aplikasi. Students are able to analyze and design the use of transducer devices in various fields of application.

POKOK BAHASAN/ SUBJECTS

Struktur dan karakter devais transduser suhu Tekanan Optik Akustik Posisi dan kimia, analisa rangkaian pengkondisi sinyal,

dan aplikasi transduser pada berbagai bidang aplikasi. Analysis and synthesis of basic transistor circuits

Analysis and synthesis of Op-Amp circuits, Synthesis on Field Programmable Analog Array (FPAA) Synthesis on Field Programmable Gate Array (FPGA) Structure and characteristic of transducer devices of

temperature Pressure Optical Acoustic Position and chemicals, analysis of the signal

conditioning circuit, and application transducers in various fields of application.

PUSTAKA UTAMA/ MAIN REFERENCES

Jacob Fraden, Handbook of Modern Sensors: Physics Designs and Applications, Springer, 2004

John G Webster, Measurement Instrumentation and Sensors Handbook, CRC Press LLC, 1999

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Joseph J Carr, Sensors and Circuits, Prentice Hall, 1993.

Julian W Gardner, Microsensors: Principles & Applications, John Wiley & Sons, 1994.

PUSTAKA PENUNJANG/OPTIONAL REFERENCES

Walt Kester, Practical Design Techniques for Sensor Signal Conditioning, Analog Devices, 1999

PRASYARAT/PREREQUISITE -

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TE 092401: Sistem Mikroelektronika TE 092401: Microelectronic Systems Sks /Credits: 3 Semester: I


Memahami dan mampu melakukan perancangan sistem elektronika berbasis computer, mikroprosesor dan mikrokontroler (perangkat keras dan perangkat lunak) menggunakan divais mikroelektronika disertai dengan pertimbangan-pertimbangan yang diperlukan. By the end of this course, the student should be able to design an electronic system based on computer, microprocessor and microcontroller (hardware and software) using microelectronic devices.


Mahasiswa memiliki kemampuan dalam melakukan perancangan dan realisasi sistem berbasis computer, mikroprosesor atau mikrokontroler.

Mahasiswa memiliki kemampuan dalam menganalisa sistem dan komponen penunjang dan fasilitas yang harus disediakan atau dibutuhkan.

Mahasiswa memiliki kemampuan dalam memberikan pertimbangan-pertimbangan yang diperlukan yang selanjutnya akan digunakan dalam perancangan sistem berbasis mikroprosesor/mikrokontroler.

Students have ability to do a design and realization PC-based and microprocessor/controllerbased system.

Students have ability to analyze the microelectronics system including supporting components which are needed.

Students have ability to give design considerations for designing a PC/ microprocessor / microcontroller-based system


Prinsip dasar perancangan sistem mikroprosesor/ mikrokontroler

Sistem pengalamatan, dasar interfacing dan pemrogramannya

Pemrograman mikoprosesor/mikrokontroler Memori, A/D dan D/A,

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Sistem komunikasi mikroposesor/mikrokontroler (serial, parallel, USB), contoh-contoh aplikasi mikroprosesor/mikrokontroler untuk industry dan biomedik.

Basic principle of microprocessor/microcontroller system design

Decoding system, basic interfacing and programming Microprocessor/microcontroller programming, Memory map, Analog to Digital Converter, Digital to

Analog Converter Data communication using microprocessor/

microcontroller (serial, parallel, USB), application of microprocessor/microcontroller in industry and biomedical engineering.


The intel microprocessors architecture, programming and interfacing Barry B Brey.

John Uffenbeck. USB Complete (2nd edition) Jan Axelson.


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TE 092092: Pengenalan Bidang Riset TE 092092: Introduction to Research Fields Sks /Credits: 2 Semester: I


Mahasiswa memahami berbagai cluster riset dalam bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika; dan dapat memilih cluster riset yang akan ditekuni dengan tetap memperhatikan cluster-cluster riset yang berhubungan.

Mahasiswa mampu menerapkan sikap ilmiah sesuai dengn kebidangan masing-masing.

To have an understanding of many research fields in power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics; and to have a skill to select own research cluster by considering all supporting clusters.

To have a capability to apply scientific mindset and attitude in the own research filed.


Mahasiswa memahami berbagai cluster riset bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika.

Mahasiswa mampu memilih pendekatan ilmiah yang tepat untuk menyelesaikan permasalahan melalui kegiatan riset untuk peningkatan kualitas hidup manusia dan lingkungan.

Mampu melaksanakan dan memelihara sikap dan kegiatan ilmiah dalam kehidupan profesi.

To have an understanding many research clusters in the fields of power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.

To have a capability to choose an appropriate scientific approach to solve a certain engineering problem through activities for improvement of human life quality and environment.

To have a skill of actualizing and to keep scientific attitude and scientific activities in professional tasks.

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Pembekalan bidang-bidang riset Seminar ilmiah Review jurnal ilmiah Telaah kasus Penyusunan laporan. Provisioning of research fields Journal article review Case studies and report.


Artikel journal terpilih. Selected scientific journals in power system

engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.


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TE 092421: Sistem Elektronika Cerdas TE 092421: Intelligent Electronic Systems Sks /Credits: 3 Semester: II


Mahasiswa memahami prinsip-prinsip dasar dari komponen-komponen dalam sistem cerdas dan mampu mendisain sistem elektronika cerdas untuk aplikasi tertentu. To have an understanding of basic principles of components of intelligent systems, and to have a capability of designing a certain application of the intelligent electronic system.


Mahasiswa memahami prinsip-prinsip dan algoritma-algoritma dalam artificial neural network (ANN) dan dapat menganalisis performansi dan dapat membangun program komputer untuk merealisasikan sistem cerdas dengan ANN.

Mahasiswa memahami cara kerja semua subsistem dalam sistem fuzzy dan mampu merealisasika sebuah sistem fuzzy untuk aplikasi clustering dan kontrol.

Mahasiswa memahami cara kerja evolutionary computation dan mampu merealisasikan untuk aplikasi optimasi.

Mahasiswa mampu mengembangkan kombinasi antara beberapa sistem cerdas ANN-fuzzy, ANN-GA, fuzzy-GA.

To have an understanding of basic principles and algorithms of artificial neural network (ANN), and to have a capability of performance analysis, developing computer program in realizing an ANN based intelligent system.

To have an understanding of mechanisms of all subsystems in fuzzy system, and to have a capability in realizing fuzzy system for data clustering and control applications.

To have understanding of mechanisms of evolutionary computation, and to have a capability in realizing the evolutionary computation for optimization problems.

To have a capability in developing of a fusion system: ANN-fuzzy, ANN-Genetic Algorithm (GA), fuzzy-GA.


Konsep sistem cerdas Dasar-dasar neuroscience dan model-model neuron Feedforward & recurrent neural network

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Methoda pembelajaran neural network Competitive network, aplikasi sistem neural network,

sistem logika fuzzy, fuzzy inference sistem, fuzzy clustering & control, evolutionary algorithm, genetic programming, fusi sistem cerdas: sistem neuro-fuzzy, sistem NN-GA, sistem fuzzy-GA, studi kasus.

Concepts of intelligent systems Basic neuroscience and neuron models Feedforward & recurrent neural networks Learning methods, competitive networks Neural network applications, fuzzy system, fuzzy

inference system, fuzzy clustering & control, evolutionary algorithm, genetic programming, fusion of intelligent system ANN-fuzzy, ANN-GA, fuzzy-GA.


Fredric M Hum, Ivica Kostanic, Principles of neurocomputing for science & engineering, McGraw-Hill Inc., 2001

JSR Jang, CT Tsun, E. Mizutani, Neuro-fuzzy and soft computing, Prentice Hall Inc., 1997.

NK Bose and P. Liang, Neural network fundamental, McGraw Hill, 1996.

David B Fogel, Evolutionary Computation, IEEE Press. Hua Li, M Gupta (Eds), Fuzzy logic and intelligent

systems, Kluwer AcPress, 1995. PUSTAKA PENUNJANG/OPTIONAL REFERENCES

Artikel terpilih dari jurnal-jurnal bidang intelligent systems. Selected scientific journals in intelligent systems


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TE 092400: Sistem Rangkaian Elektronika TE 092400: Electronic Circuit Systems Sks /Credits: 3 Semester: II


Mahasiswa mampu memahami dan menganalisa suatu rangkaian atau sistim elektronika baik analog maupun digital. To have an understanding of basic principles of components of intelligent systems, and to have a capability of designing a certain application of the intelligent electronic system.


Mahasiswa mampu menganalisa dan merencanakan rangkaian analog dan digital.

Mahasiswa terampil melakukan eksperimen pada rangkaian terprogram.

Students are able to analyze and design analog and digital circuits.

Students are able to conduct the experiments on programmable device.


Analisa dan sintesa rangkaian dasar transistor Analisa dan sintesa rangkaian Op-Amp Sintesa rangkaian pada Field Programmable Analog

Array (FPAA) dan sintesa rangkaian pada Field Programmable Gate Array (FPGA)

Analysis and synthesis of basic transistor circuits Analysis and synthesis of Op-Amp circuits, Synthesis on Field Programmable Analog Array (FPAA) Synthesis on Field Programmable Gate Array (FPGA)


Robert Boylestad and Louis Nashelsky, Electronic Devices and Circuit Theory, Prentice-Hall, 2006

Programmable Logic Design, Xilinx, 2006. Kevin Shahill, VHDL for Programmable Logic, Addison

Wesley, 1996


Xilinx Synthesis Technology (XST) User Guide, Xilinx, 2000

AN10E40 Field Programmable Analog Array, Anadigm, 2000

Tony R Kuphaldt, Lessons in Electric Circuits, 2007 PRASYARAT/PREREQUISITE -

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TE 092094: Proposal Riset TE 092094: Research Proposal Sks /Credits: 2 Semester: II


Mahasiswa mampu menyusun proposal riset berdasarkan cluster riset yang diminati dan mampu melakukan komunikasi ilmiah melalui tulisan. To have a skill of developing a research proposal based on own research cluster, and to have a skill in scientific communication.


Mahasiswa memahami kaidah-kaidah dan format dalam penyusunan proposal riset.

Mahasiswa mampu berpikir sistematis dalam penyusunan langkah-langkah riset.

Mahasiswa mampu mengaktualisasikan inovasi-inovasi baru dalam proposal riset.

Mahasiswa mampu melaporkan dan mengkomunikasikan hasil riset dalam forum ilmiah.

To have an understanding of fundamentals and formats of research proposal.

To have a capability in systematic thinking in planning of a research steps.

To have a capability in actualize novel innovations in a research proposal.

To have a capability of reporting and communicating research results in a certain scientific forum.


Teknik penulisan ilmiah Format penulisan proposal riset Penulisan abstrak Pemaparan latar belakang Pemaparan methodologi riset, methoda eksperimen dan

analisa, teknik penulisan laporan hasil riset. Scientific Writing Writing format of research proposal Writing abstracts Background exposition Research methodology, experimental methods and

analysis, writing techniques of research report.

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Marc E Tischler, Scientific Writing Booklet, Dept. Biochem. & Mol. Biophysics, Arizona University.

Pedoman Penyusunan Thesis, Program Pascasarjana ITS, 2006.


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PRASYARAT/PREREQUISITE Pengenalan Bidang Riset Introduction to Research Fields

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TE 092403: Teknik Pemrosesan Sinyal Lanjut TE 092403: Advanced Signal Processing Sks /Credits: 3 Semester: III


Mahasiswa mampau mengaplikasikan teknik pemrosesan dan analisa sinyal untuk aplikasi sinyal nonstationer, dan mampu merancang sistem analisa sinyal untuk time-frequency analysis. To have a capability of applying signal processing techniques and signal analysis for non-stationary signal, and to have a skill in designing a software system for time-frequency analysis.


Mahasiswa memahami prinsip-prinsip signal generation dan signal modeling.

Mahasiswa memahami dan mampu meangaplikasikan noise reduction dengan linear dan nonlinear filter digital.

Mahasiswa memahami teori optimal filter dan adaptive filter dan mampu mengaplikasikannya pada sinyal praktis.

Memahami time-frequency analysis dengan short-term fourier transform, continous wavelet transform, dan dekomposisi sinyal dengan discrete wavelet transform.

To have an understanding of principles of signal generation and signal modeling.

To have an understanding of noise reduction techniques using linear and nonlinear digital filter, to have a capability of realizing them in practical applications.

To have an understanding of theory of optimal filter and adaptive filter, and to have a capability of realizing of them in practical applications.

To have an understanding of time-frequency analysis: short-term Fourier Transform, Continuous Wavelet Transform, signal decomposition based on Discrete Wavelet Transform.


Signal modeling Linear filter Nonlinear filter Optimal filter

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Adaptive filter, time-frequency analysis, studi kasus dan praktek pemrosesan dan analisa sinyal stasioner dan nonstasiner.

Signal modeling Linear filter Nonlinear filter Optimal filter Adaptive filter, time-frequency analysis, studi kasus dan

praktek pemrosesan dan analisa sinyal stasioner dan nonstasiner.analysis of non-stationary signals.


Proakis & Manolakis, Digital Signal Processing, PH, 1996. Manolakis, et. al.,Statistical and Adaptive Signal

Processing, MH, 2000. PUSTAKA PENUNJANG/OPTIONAL REFERENCES

Artikel terpilih dari jurnal-jurnal bidang signal processing. Selected scientific journals in signal processing


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TE 092402: Interaksi Manusia-Mesin TE 092402: Human-Machine Interface Sks /Credits: 3 Semester: IV


Mahasiswa mampu memahami sistem interaksi manusia mesin. Giving knowledge to the students in order to understand the human machine interface system.


Mahasiswa mampu menganalisa sistem interaksi manusia mesin.

Mahasiswa mampu merancang sistem interaksi manusia mesin.

Students are able to analyze the human machine interface system.

Students are able to design the human machine interface system.


Ergonomics and Human Factors Ubiquitous Computing and Ambient Intelligence User-Centred Design Usability and Accessibility Systems and Models for Collaboration; Interaction in

Teaching and Learning; Design and Development of User Interfaces; Virtual and Augmented Reality; Interaction and People with Special Needs.


Miguel Redondo, Crescencio Bravo, Manuel Ortega Engineering the User Interface: From Research to Practice, Springer, 2008.

M. A. Goodrich and A. C. Schultz, HumanRobot Interaction: A Survey, Now Publishers Inc., 2007.


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TE 092099 : Tesis TE 092099 : Thesis Sks /Credits: 6 Semester: IV


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan teknik elektronika, dengan kontribusi ilmiah yang disesuaikan dengan program magister. The student can apply the methods to solve the problems in the field of electronic engineering that have the contribution related the master program.


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan sesuai bidang keilmuan. The Student have the ability to apply the methods for the problem solving.


Disesuaikan dengan tema yang diambil maisng-masing mahasiswa. Depend on the students topics.




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PRASYARAT/PREREQUISITE Pengenalan Bidang Riset Proposal Riset Introduction to Research Fields Research Proposal

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TE 092461: Anatomi dan Fisiologi TE 092461: Anatomy and Physiology Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memahami dasar-dasar anatomi tubuh manusia dan fisiologi sell hingga sistem organ tubuh manusia dan mampu memanfaatkan pemahaman tersebut dalam disiplin rekayasa biomedika. To have an understanding of fundamentals of anatomy and physiology of human body from cellular level to system organ level, and to have a capability to use the understanding in developing other understanding in biomedical engineering fields.


Mahasiswa memahami anatomi tubuh manusia. Mahasiswa memahami fisiologi manusia dari tingkat sell

hingga sistem organ. Mahasiswa mampu menggunakan pemahaman anatomi

dan fisiologi dalam analisa sistem biologi mampu sistem biomedika.

To have an understanding in anatomy of human body. To have an understanding of physiology of human body. To have a skill to use the understanding of anatomy and

physiology in analysis of biological and biomedical systems.


Cakupan anatomi dan fisiologi Anatomi dan fisiologi sell Anatomi dan fisiologi jaringan Sistem syaraf Sistem rangka, sistem otot, sistem kardiovaskular,

sistem pulmonari, telaah jurnal bidang applied physiology, biomechanis, dll.

Scopes of anatomy and physiology Cellular level anatomy and physiology Tissue level anatomy and physiology Nervous system Skeletal system, muscular system, cardiovascular

system, pulmonary system, selected topics from journal

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papers: applied physiology, biomechanics, etc.


Wynn Kapit et. al.,Anatomy coloring book, Benjamin Cumings Science Publishing, USA, 3rd Ed, 2002.

Wynn Kapit et. al., Physiology coloring book, Benjamin Cumings Science Publishing, USA, 2nd Ed, 2000.

Frederic H Martini et. al., Fundamentals of anatomy and physiology, Prentice Hall Intl. Inc., USA, 5th Ed, 2001.

Mark L Latash, Neurophysiological basis of movement, Human Kinetics, USA, 1998.

Roger M Enoka, Neuromechanics of human movement, Human Kinetics, USA, 3rd Ed, 2002.


Artikel terpilih dari jurnal-jurnal bidang biomechanics, applied physiogy, dll.


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TE 092431: Pengukuran dan Instrumentasi Biomedika TE 092431: Biomedical Measurement and

Instrumentation Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memahami prinsip dasar sensor biomedika ,teknik instrumentasi biomedika saat ini dan yang akan datang, memahami transduser dan biopotensial sebagai masukan pada instrumentasi biomedika. Memahami teknik instrumentasi biomedika berbasis komputer, perawatan dan pengamanan instrumentasi biomedika. By the end of this course, the student should be understan about the basic principle of biomedical sensor, the development of biomedical instrumentation, transducer and biopotential as inputs in biomedical instrumentation including biomedical instrumentation technique.


Mahasiswa memahami prinsip biopotensial dan metode yang digunakan dalam pengambilan dan pemrosesan biopotensial.

Mahasiswa memahami metode-metode pengukuran sinyal biopotensial dan sistem instrumentasinya.

Mahasiswa memiliki kemampuan melakukan simulasi, perancangan dan realisasi sistem instrumentasi biomedika.

Students understand the basic principle of bio-potential and the acquisition and processing algorithm.

Students understand the methods of the bio-potential signal measurement and its instrumentation.

Student have ability to simulate, design and realize a biomedical instrumentation.


Dasar instrumentasi biomedika Biopotensial dan hukum dasar terkait dengan arus

dalam jaringan biologi Prinsip transduser dan jenis-jenis elektrode biomedika Biopotensial amplifier dan instrumentasi untuk ECG,

EEG, EMG, analog filtering, model penguatan, peralatan untuk monitoring dan perawatan pasien

Instrumentasi diagnosis non invansive, instrumentasi

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lab. klinik, instrumentasi radioisotop dan sinar X, instrumentasi berbasis komputer, pengaman elektrik peralatan medika, lab diagnostic instrument.

Basic biomedical instrumentation Bio-potential Transducer and electrodes Bio-potential amplifier and instrumentation for ECG,

EEG, EMG Analog filtering, biomedical instrumentation for non

invansive diagnosis, clinical laboratory.


Design and Development of Medical Electronic Instrumentation: A Practical Perspective of the Design, Construction, and Test of Medical Devices, D. PRUTCHI, M. NORRIS (2005)

Sensor in medicine Medical Instrumentation,Webster


Medical Physics, J.R. Cameron, J.G. Skofronick Handbook of medical instrumentation


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TE 092460: Analisa Sinyal Biomedika TE 092460: Biomedical Signal Analysis Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu merancang sistem analisa sinyal biomedika. To have a skill of designing of a system of biomedical signal analysis.


Mahasiswa memahami fisiologi organ dan signal generation dari suatu sistem biologis.

Mampu melakukan permrosesan sinyal biologis untuk mengekstrak ciri sinyal yang bermanfaat untuk bidang biomedika.

Mahasiswa mamapu memanfaatkan mathematical tool untuk mengembangkan sistem analisa sinyal biomedika.

To have an understanding of physiological basis and signal generation of a biological system

To have a skill of processing biological signal to extract features of the biomedical signals.

To have a skill to use mathematical tools for developing a system of biomedical signal analysis.


Elektrofisiologi jantung Analisa ECG Myoelectric sinyal ENG, EOG Digital filter untuk pemrosesan sinyal, pemrosesan

dan analisa sinyal gerakan manusia, frequency-based analysis, time-frequency analysis, studi kasus.

Electrophysiology of heart ECG analysis Myoelectric signals Electrneurography (ENG) Electrooculography (EOG), digital filter for biomedical

signal processing and analysis, processing and analysis of human movements signals, frequency-based analysis, time-frequency analysis, assesments of selected topics from journal papers.

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JL Semlow, Biosignal and Biomedical Image Processing, Marcell Dekker Inc., 2004.

J Bronzino (Ed), Biomedical Engineering Handbook, IEEE Press.

Metin Akay (Ed), Biomedical Signal Detection, IEEE Press.


Artikel terpilih dari jurnal-jurnal bidang Ann of BME, IEEE Trans BME, IEEE Trans Rehabl Eng, dll.


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TE 092430: Rekayasa Biomedika TE 092430: Biomedical Engineering Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu mengembangkan sistem mdoeling dan analisa sistem biomedika untuk neural engineering, welfare, dan rehabilitation engineering. To have a capability of developing modeling and analysis of biomedical system, i.e., neural engineering, welfare engineering, and rehabilitation engineering.


Mahasiswa memahami bidang-bidang disiplin dalam biomedical engineering.

Mahasiswa mampu memanfaatkan mathematical tool untuk mengembangkan sistem modeling dan analisa sistem biomedika untuk kepentingan neural engineering, welfare engineering & rehabilitation engineering.

To have an understanding of biomedical engineering disciplines.

To have a skill in utilizing mathematical tools for developing a modeling system and analysis of biomedical system, i.e., neural engineering, welfare engineering & rehabilitation engineering.


Disiplin biomedical engineeering Analisa dan pemodelan biomedika: nervous system Musculo-skeletal system Cardiac system Biomekanika, welfare engineering, rehabilitation

engineering, studi kasus. Biomedical engineering disciplines Biomedical system analysis and modeling: nervous

system Musculo-skeletal system Cardiac system Biomechanics, welfare engineering, rehabilitation

engineering, journal review. PUSTAKA UTAMA/ MAIN REFERENCES


Mark L Latash, Neurophysiological basis of movement,

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Human Kinetics, USA, 1998. Roger M Enoka, Neuromechanics of human movement,

Human Kinetics, USA, 3rd Ed, 2002. RB Northrop, Introduction to Dynamic Modeling of

Neuro-sensory Systems, CRC Press, 2001. PUSTAKA PENUNJANG/OPTIONAL REFERENCES



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TE 092463: Rekayasa Klinika TE 092463: Clinical Engineering Sks /Credits: 2 MK Pilihan/Additional optional courses


Memahami penanganan organisasi rumah sakit di bidang rawat inap untuk kebutuhan pasien, dokter dan pengelola manajemen rumah sakit dan pendukungnya. By the end of this course, the student should be able to understand the hospital organization system for patient, medical doctor and management and supported systems.


Mahasiswa memiliki pemahaman tentang sistem penanganan rawat inap dan struktur organisasi rumah sakit khususnya terkait dengan pemeliharaan sarana dan prasarana.

Mahasiswa memiliki pemahaman tentang program-program pengamanan dan keselamatan baik untuk pasien, dokter maupun petugas yang terkait dengan penggunaan peralatan kedokteran.

Mahasiswa mampu melakukan perancangan monitoring fisiologi pasien secara terintegrasi.

Students have understanding about health management information system and hospital organization structure related to the maintenance of the hospital facilities.

Students have understanding about safety program for patient, medical doctor, operator and also equipments.

Students able to design a patient integrated physiology monitoring system.


Sistem penanganan rawat inap Struktur organisasi rumah sakit Nilai ekonomis dalam bidang perawatan Peraturan, standar, kode sistem dan penanganan

informasi rumah sakit Aspek etika, profesional dan legal, sumber daya

manusia, pendekatan sistem untuk keamanan dan pengamanan pasien dan peralatan medis, interferensi gelombang elektromagnetis, penanganan peralatan rumah sakit, monitoring fisiologi pasien berbasis integrated clinical information system.

Hospital organization structure, rules, standard, code

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and information handling in hospital Ethical, professional and legal aspects, medical

equipment safety and handling Electromagnetic interference integrated clinical information system.


Clinical Engineering Principles and Practices, J.G. Webster, A.M. Cook

Clinical Engineering Principles and Application in Eng. Series, Y. David, J.D. Bronzino

Clinical Engineering Handbook, J. F. Dyro PUSTAKA PENUNJANG/OPTIONAL REFERENCES

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TE 092462: Informatika Medika TE 092462: Medical Informatics Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memahami sistem informasi dan manajemen rumah sakit, kesehatan dan kedokteran serta tantangan, standar, keamanan, etika dan masalah sosial terkait dengan peningkatan pelayanan kesehatan masyarakat. HMIS (Health Management Information System), telemedicine, medical network application, Medical Network, Medical-Legal and Privacy, Patient Medical Record, Genomics - Theoretical & Legal Aspects.


Mahasiswa memiliki pemahaman tentang HMIS (Health Management Information System) beserta aspek medical legal-nya.

Mahasiswa mempunyai kemampuan dalam pemanfaatan computer untuk mendukung peningkatan pelayanan pasien.

Mahasiswa mempunyai kemampuan dalam melakukan perancangan computer-based pasien recording and reporting system.

Students have understanding the HMIS (Health Management Information System) including its medical legal aspects.

Students able to apply the information technology for patient healthcare improvement.

Students able to design a computer-based patient recording and reporting system.

Students have understanding the Genomics - Theoretical & Legal Aspects


HMIS (Health Management Information System) Internet and telemedicine Sistem pengiriman data/gambar Aplikasi jaringan komputer rumah sakit Prinsip-prinsip database, pengiriman sinyal biomedika,

perancangan dan pengembangan Medical Network, aspek-aspek Medical-Legal dan Privacy, Patient Medical Record, patient ID's and Smart Cards.

Hospital organization structure, rules, standard

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Code and information handling in hospital, ethical Professional and legal aspects Medical equipment safety and handling, Electromagnetic interference, integrated clinical

information system. PUSTAKA UTAMA/ MAIN REFERENCES

Medical informatics, Bansal, Mohan, 2002. Handbook of Medical Informatics, J van Bemmel


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TE 092432: Topik Khusus Rekayasa Biomedika TE 092432: Special Topics in Biomedical Engineering Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memahami kemajuan terkini dalam bidang rekayasa biomedika. To have an understanding of recent progress in biomedical engineering fields.


Mahasiswa memahami aplikasi komputasi cerdas untuk rekayasa biomedika.

Mahasiswa memahami aplikasi teknik kontrol untuk rekayasa rehabilitasi.

Mahasiswa memahami aplikasi analisa citra untuk data citra medis.

To have an understanding of application of intelegent computation in biomedical engineering.

To have an understanding of application of engineering control in rehabilitation enginnering.

To have an uderstanding of application of methods of image analysis for biomedical images.


Disesuaikan dengan topik yang dikeluarkan dan referensi yang dipilih yang meliputi aplikasi komputasi cerdas untuk rekayasa biomedika.

Aplikasi teknik kontrol untuk rekayasa rehabilitasi, dan aplikasi analisa sinyal dan citra medika.



Selected references from journal papers consists of recent progress in BME.


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TE 092451: Opto-Elektronika dan Teknologi Laser TE 092451: Optoelectronics and Laser Technology Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami dan menganalisa sistem opto-elektronika dan teknologi laser beserta aplikasinya. Students are able to understand and analyze the system of Optoelectronics and laser technology and its application.


Mahasiswa mampu menganalisa dan merencanakan penggunaan devais opto-elektronika dan teknologi laser pada berbagai bidang aplikasi.

Students are able to analyze and design the use of Optoelectronics devices and laser technology in various fields of application.


Sifat cahaya Modulasi cahaya Displai Pembangkitan laser Detektor optik, serat optik, optika terpadu, sistem

komunikasi serat optik, dan aplikasi teknologi opto-elektronika dan teknologi laser pada berbagai bidang aplikasi.

The nature of light: reflection, refraction, polarization, superposition, interference and diffraction, light spectrum, monochromator.

Modulation of Light: Electro-Optic Effect, Magneto-Optic Effect, Acousto-Optic Effect.

Display: Cathode Ray Tube (CRT), Light Emitting diode, LCD and Plasma.

Laser: laser basic generation solid-insulator, Semiconductor, liquid laser, gas laser and Q-switching technique.

Photodetector: thermo-electric, bolometer, Pneumatic, pyroelectric, vacuum photodiode, photomultiplier, photoconductive, photodiode, avalanche photodiode, schottky photodiode, vidicon, pumblicon, CCD, digital

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camera. Fiber optics: Fiber Dispersions, Multimode step-index fiber, Single-mode fiber, Graded-index fiber, Fiber losses, Optical Time-Domain Reflector (OTDR). Integrated optics: light propagation in the wave guide, fabrication of slab / strip waveguide, modulator, switch, multiplexer, splitter. Optical fiber communication systems: Free Space Communication, Optical Fiber Communication System, Power Budget, Rise Time (Bandwidth) Budget, Multichannel Communication System, Code-Division Multiplexing (CDM), Coherent Optical Communication. Optoelectronic Technology Applications: distance measurement, spectrophotometer, optical storage, Holography.


J Wilson and JFB Hawkes, Optoelectronics: An Introduction, Prentice Hall, 1998.

Ronald W. Waynant and Marwood N. Ediger, Electro-Optics Handbook, McGraw-Hill, 2000.

Michael Bass, Handbook of Optics: Fiber Optics & Nonlinear Optics, McGraw-Hill, 2001

Chinlon Lin, Optoelectronic Technology and Lightwave Communications Systems, Van Nostrand Reinhold, 1989.


Mark Johnson, Photodetection and Measurement: Maximizing Performance in Optical Systems, McGraw-Hill, 2003


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TE 092471: Robotika dan Otomasi TE 092471: Robotics and Automation Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami dan menganalisa sistem robotika dan otomasi. Giving knowledge to the students in order to understand the robotics and automation system.


Mahasiswa mampu memahami sistem robotika dan otomasi.

Mahasiswa mampu menganalisa sistem robotika dan otomasi.

Students are able to analyze the robotics and automation system.

Students are able to design the robotics and automation system.


Introduction meliputi evolusi robotika, struktur mekanik robot.

Kinematics meliputi kinematika arah maju, metoda Denavit-Hartenberg, joint space dan operational space, problem kinematika balik.

Dynamics meliputi formulasi Lagrange-Euler, formulasi Newton-Euler, dinamika balik.

Trajectory Planning meliputi path and trajectory, joint space trajectories, operational space trajectories.

Sensor and Actuator meliputi joint actuating system, drives, proprioceptive sensors, exteroceptive sensors; Motion Control meliputi problem kontrol, joint space control, operational space control; Force Control meliputi interaksi robot dan lingkungan, compliance control, impedance control, hybrid position/force control; Visual Servoing meliputi vision for control, position-based visual servoing, image-based visual servoing; Robot Applications meliputi material handling, assembly application, inspection application, processing application, flexible manufacture system, computer integrated manufacture.

Introduction includes robotics evolution, mechanical

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structure of robot. Kinematics includes forward kinematics, Denavit-

Hartenberg method, joint space and operational space, inverse kinematics problem.

Dynamics includes Lagrange-Euler formulation, Newton-Euler formulation, inverse dynamics.

Trajectory Planning includes path and trajectory, joint space trajectories, operational space trajectories.

Sensor and Actuator includes joint actuating system, drives, proprioceptive sensors, exteroceptive sensors; Motion Control includes control problem in robotics, joint space control, operational space control; Force Control includes robot and environment interaction, compliance control, impedance control, hybrid position/force control; Visual Servoing includes vision for control, position-based visual servoing, image-based visual servoing; Robot Applications includes material handling, assembly application, inspection application, processing application, flexible manufacture system, computer integrated manufacture.


Bruno Siciliano, Robotics: Modeling, Planning and Control, Springer-Verlag Limited, 2009.

R.K. Mittal, Robotics and Control, Tata Mc-Graw Hill, 2003.

Lung-Wen Tsai, Robot Analysis, John Wiley and Sons, Inc., 1999.


IEEE Transactions on Robotics and Automation


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TE 092470: Disain Sistem Kontrol Elektronika TE 092470: Design of Electronic Control Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami, menganalisa, dan merancang sistem kontrol elektronika. Giving knowledge to the students in order to understand the electronic control system design.


Mahasiswa mampu memahami sistem kontrol elektronika.

Mahasiswa mampu menganalisa sistem kontrol elektronika.

Mahasiswa mampu merancang sistem kontrol elektronika.

Students are able to analyze the electronic control system.

Students are able to design the electronic control system.


Introduction meliputi terminologi sistem kontrol, sejarah dan tren mendatang, overview kontrol analog dan digital

Signal Processing in Control meliputi domain waktu, domain frekuensi, kriteria kestabilan

Conventional Control System Design meliputi PID, root locus, respon frekuensi

State Space Method for Control System Design meliputi multivariable systems, pole placement, state observer, state feedback dengan kontrol integral

Optimal and Robust Control System Design meliputi LQR, Kalman filter, LQG, robust control; Control System Implementation meliputi sistem identifikasi, kontrol berbasis op-amp, kontrol digital berbasis mikroposesor; Intelligent Control System Design meliputi fuzzy logic control system, neural network for control, GA for control applications.

Introduction includes control system terminology, history and future trend, analog and digital control overview

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Signal Processing in Control includes time domain, frequency domain, stability criteria

Control System Implementation includes identification system, op-amp based analog control, microprocessor based digital control

State Space Method for Control System Design includes multivariable systems, pole placement, state observer, state feedback with integral control

Optimal and Robust Control System Design includes LQR, Kalman filter, LQG, robust control

Intelligent Control System Design includes fuzzy logic control system, neural network for control, GA for control applications.


M. Sam Fadali, Digital Control Engineering: Analysis and Design, Elsevier Inc., 2009.

Chi-Tsong Chen, Analog and Digital Control System Design, Saunders College Publishing, 2005.

M Gopal, Digital Control and State Variable Methods: Conventional and Neuro-Fuzzy Control System, McGraw Hill Inc., 2003

F.L. Lewis & J. Campos, Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities, SIAM, 2002


IEEE Transactions on Control Systems Technology


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TE 092441: Sistem Elektronika Industri TE 092441: Industrial Electronic Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami dan menganalisa sistem opto-elektronika dan teknologi laser beserta aplikasinya. Students are able to analyze and design the electronic system in the industrial fields.


Mahasiswa mampu merancang dan mengimplementasi kan sistim elektronika di bidang industri. Students are able to design and implement the electronic system in the industrial fields.


Penggunaan sensor dan aktuator di industri Telemetri Programmable logic controller Power electronics Aplikasi kontrol di industri baik kontrol konvensional

ataupun kontrol cerdas, dan robot industri. The use of sensors and actuators in the industry Telemetry Programmable logic controller Power electronics Control applications in industrial including conventional

and intelligent controls, and industrial robots.


Timoty J Maloney, Modern Industrial Electronics, Prentice Hall, 2003

Robert H Bishop, The Mechatronics Handbook, CRC Press LLC, 2002

Jacob Fraden, Handbook of Modern Sensors: Physics Designs and Applications, Springer, 2004


John Iovine, Robot, Androids and Animatrons, McGraw-Hill, 2002

PRASYARAT/PREREQUISITE Sistim Rangkaian Elektronika

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TE 092453: Pengindraan Visual Berbasis Komputer TE 092453: Computer-based Visual Perception Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami, menganalisa, dan merancang sistem penginderaan visual berbasis komputer. Giving knowledge to the students in order to understand the computer-based visual perception system.


Mahasiswa mampu memahami sistem penginderaan visual berbasis komputer.

Mahasiswa mampu menganalisa sistem penginderaan visual berbasis komputer.

Mahasiswa mampu merancang sistem penginderaan visual berbasis komputer.

Students are able to analyze Students are able to analyze the electronic control system.

Students are able to analyze Students are able to design the electronic control system.


Image formation and Image Model meliputi cameras, geometric camera models, geometric camera calibration, color

Early Vision-One Image meliputi linear filter, edge detection, texture

Early vision-Multiple Images meliputi geometry of multiple view, stereopsis, affine structure from motion, projective structure from motion

Mid Level Vision meliputi segmentation by clustering, segmentation by fitting a model, segmentation and fitting using probabilistic methods, tracking with linear dynamic model

High Level Vision meliputi model-based vision, smooth surfaces and their outlines, range data, finding template using classifiers, recognition by relations between templates; Applications meliputi studi kasus aplikasi sistem penginderaan visual berbasis komputer.

Image formation and Image Model includes cameras, geometric camera models, geometric camera

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calibration, color Early Vision-One Image includes linear filter, edge

detection, texture Early vision-Multiple Images includes geometry of

multiple view, stereopsis, affine structure from motion, projective structure from motion

Mid Level Vision includes segmentation by clustering, segmentation by fitting a model, segmentation and fitting using probabilistic methods, tracking with linear dynamic model

High Level Vision includes model-based vision, smooth surfaces and their outlines, range data, finding template using classifiers, recognition by relations between templates; Applications includes case studies for computer-based visual perception.


David A. Forsyth & Jean Ponce, Computer Vision: A Modern Approach, Prentice-Hall Inc., 2003.

Linda G. Shapiro, Computer Vision, Prentice-Hall, Inc., 2001.

Mario I. Chacon M., State of the Art in Face Recognition, I-Tech Education and Publishing, 2009.


Gary Bradski and Adrian Kaehler, Learning OpenCV: Computer Vision with OpenCV Library, OReilly Media, Inc., 2008


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TE 092452: Sistem Waktu-Nyata TE 092452: Real-time Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu memahami sistem waktu nyata. Giving knowledge to the students in order to understand the real time system.


Mahasiswa mampu menganalisa sistem waktu nyata. Mahasiswa mampu merancang sistem waktu nyata. Students are able to analyze the real time system. Students are able to design the real time system.


Prinsip sistem waktu nyata (real time system) Arsitektur perangkat keras dan lunak untuk aplikasi

sistem waktu nyata (real time system) Real time operating system (RTOS) Real time signal processing; Real time control system Case studies.


Aurel Cornell , Dan Ionescu, Real-Time Systems: Modeling, Design, and Applications, World Scientific Publishing Company, 2007.

Albert M. K. Cheng, Real Time System: Scheduling, Analysis, and Verification, John Wiley & Sons, Inc., 2002.


A. Rettberg, M. Zanella, R. Dmer, A. Gerstlauer, and F. Rammig, Embedded System Design: Topics, Techniques and Trends, Springer, 2007


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TE 092442: Topik Khusus Rekayasa Elektronika Industri TE 092442: Special Topic in Industrial Electronic

Engineering Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memahami kemajuan terkini dalam bidang rekayasa elektronika industri. Students are able to understand the latest progress in the field of industrial electronic engineering.


Mahasiswa mampu menganalisa dan merancang rekayasa elektronika di bidang industri. Students are able to analyze and design the implementation of electrical engineering in the industrial fields.


Rekayasa smart sensor dan aktuator yang digunakan di industri

Sistim kontrol cerdas Robotic & vision Drive control Telemetri dan power electronics. Smart sensors and actuators technology used in the

industrial fields Intelligent control systems Robotic & vision Drive control Telemetry and power electronics.


Artikel terpilih dari proseding dan jurnal: IEEE Transactions on Industrial Electronics, Sensors & Actuators, Robotic & Autonomous System, Symposium on Artificial Neural Networks, Journal on Applied Signal Processing, Science Direct dan lainnya.


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STRUKTUR KURIKULUM PROGRAM TEKNIK BIOMEDIKA 2009-2014

No. Kode MK Code


sks Credits

SEMESTER I 1 TE.092405

Analisa Biostatistika Biostatistical Analysis

2

2 TE.092406

Instrumentasi Biomedika Berbasis Mikroprosesor Microprocessor-based Biomedical Instrumentation

3

3 TE.092092

Pengenalan Bidang Riset Introduction to Research Fields

2

4 TE.092407

Pemodelan Biomedika Biomedical Modeling

2

Jumlah sks/Total of credits 10 SEMESTER II

1 TE.092435

Biomekanika Biomechanics

2

2 TE.092436

Pencitraan Medika Medical Imaging

3

3 TE.092094

Proposal Riset Research Proposal

2

4 TE.092437 Informatika Medika Medical Informatics

2

Jumlah sks/Total of credits 9 SEMESTER III

1 TE.092408 Pemrosesan dan Analisa Sinyal Biomedika Biomedical Signal Processing & Analysis

2

2 TE.092409 Sistem Neural dan Rekayasa Rehabilitasi Neural System & Rehabilitation Engineering

3


4

Jumlah sks/Total of credits 9 SEMESTER IV

1 TE.092410 Biomaterial Biomaterial

2

1 TE.092099

Tesis Thesis

6

Jumlah sks/Total of credits 8

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Mata Kuliah Pilihan Additional optional courses

No. Kode MK Code


sks Credits

1 TE.092443 Teknologi Medical Untrasonic Lajut Advanced Medical Ultrasonic Technology

2

2 TE.092460 Organ Buatan Artificial Organ

2

3 TE.092464 Analisa Sinyal Biomedika Lanjut Advanced Biomedical Signal Analysis

2

4 TE.092465 Robotika Medika Medical Robotics

2

5 TE.092466 Teknologi Optik dan Laser Medika Medical Optics and Laser Technology

2

6 TE.092467 Kontrol Elektronika Untuk Sistem Biomedika Electronic Control Engineering for Biomedical System

2

7 TE.092468 Topik Khusus Teknologi Biomedika Selected Topics on BME

2

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SILABUS KURIKULUM/COURSE SYLLABUS


TE 092405: Analisa Biostatistika TE 092405: Biostatistical Analysis Sks /Credits: 2 Semester: I


Mahasiswa memahami dan mampu menerapkan teori statistika untuk analisa data biologi dan biomedika. To have an understanding of theory of statistical analysis and to have a capability to apply the theory of statistics for analyzing biological and biomedical data.


Mahasiswa memahami karakteristik data biomedika Mahasiswa memahami metode statistika untuk analisa

data biomedika. Mahasiswa mengembangkan program komputer untuk

merealisasikan methode ststistika utuk analisa data biomedika

To have understanding of statistical methods for biomedical data anaysis.

To have a capability in developing computer program to realize a statistical analysis of biiological and biomedical data.


Introduction: Types of Biological Data, Measures of central tendency, dispersion, and variability, Probabilities

Hypothesis: from one-sample to multi-sample hypothesis, Variance analysis, Regression: from linear to multiple and polynomial regressions, Data Fitting

Circular distribution: descriptive statistics and hypothesis testing


Jerrold H. Zar, Biostatistical analysis, Inc, 4th edition, Prentice-Hall, USA, 1999.


Artikel terpilih yang berkaitan dengan analisa biostatistika dari jurnal-jurnal bidang BME. Selected journal articles ini biostatistical analysis, scientific articels for journal in the field of BME.

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TE 092406: Instrumentasi Biomedika Berbasis Mikroprosesor

TE 092406: Microprocessor-based Biomedical Instrumentation

Sks /Credits: 3 Semester: I


Mempunyai kemampuan dalam melakukan perancangan Instrumentasi Biomedika Berbasis Mikroprosesor. To have ability to design a microprocessor-based biomedical instrumentation


Mahasiswa mempunyai kemampuan untuk merancang dan merealisasikan sistem instrumentasi berbasis mikroprosesor untuk aplikasi bidang kedokteran.

Mahasiswa mempunyai kemampuan untuk menganalisis karakteristik dari sinyal biomedika.

Mahasiswa mempunyai kemampuan untuk merancang sistem instrumentasi yang tepat untuk transduser biomedika.

Students have ability to design and realize a microprocessor-based instrumentation system for medical application.

Students have ability to analyze the characteristic of biomedical signal.

Students have ability to apply microprocessor-based instrumentation for a biomedical transducer.


Prinsip perancangan instrumentasi medika Dasar analisa sinyal biomedika Potensial bio-elektrik Karakteristik berbagai sinyal biomedika Transduser dan instrumentasi amplifier Design principles of medical instrumentation Basic biomedical signal analysis The origin of bioelectric potentials The characteristics of various biological signals Transducers and instrumentation amplifiers

PUSTAKA UTAMA/ MAIN Design and Development of Medical Electronic Instrumentation: A Practical Perspective of the Design,

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REFERENCES Construction, and Test of Medical Devices, D. Prutchi, M. Norris, 2005

Medical Instrumentation, Webster Medical Physics, J.R. Cameron, J.G. Skofronick (1978) Handbook of medical instrumentation, Webster


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TE 092092: Pengenalan Bidang Riset TE 092092: Introduction to Research Fields Sks /Credits: 2 Semester: I


Mahasiswa memahami berbagai cluster riset dalam bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika; dan dapat memilih cluster riset yang akan ditekuni dengan tetap memperhatikan cluster-cluster riset yang berhubungan.

Mahasiswa mampu menerapkan sikap ilmiah sesuai dengn kebidangan masing-masing.

To have an understanding of many research fields in power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics; and to have a skill to select own research cluster by considering all supporting clusters.

To have a capability to apply scientific mindset and attitude in the own research filed.


Mahasiswa memahami berbagai cluster riset bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika.

Mahasiswa mampu memilih pendekatan ilmiah yang tepat untuk menyelesaikan permasalahan melalui kegiatan riset untuk peningkatan kualitas hidup manusia dan lingkungan.

Mampu melaksanakan dan memelihara sikap dan kegiatan ilmiah dalam kehidupan profesi.

To have an understanding many research clusters in the fields of power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.

To have a capability to choose an appropriate scientific approach to solve a certain engineering problem through activities for improvement of human life quality and environment.

To have a skill of actualizing and to keep scientific attitude and scientific activities in professional tasks.

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Pembekalan bidang-bidang riset Seminar ilmiah Review jurnal ilmiah Telaah kasus Penyusunan laporan. Provisioning of research fields Journal article review Case studies and report.


Artikel jurnal terpilih. Selected scientific journals in power system

engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.


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TE 092407: Pemodelan Biomedika TE 092407: Biomedical Modeling Sks /Credits: 2 Semester: I


Memiliki kemampuan dalam melakukan pemodelan dan simulasi komputer untuk sistem biomedika dan fisiologi.

To have ability to describe the modeling and computer simulation tehnicques for physiology and biomedical system.


Mahasiswa mempunyai pemahaman mengenai aplikasi bio-modeling dan simulasi komputer dalam bidang teknik biomedika.

Mahasiswa mempunyai kemampuan untuk memodelkan fungsi fisiologi sederhana dari tubuh manusia.

Mahasiswa mempunyai kemampuan untuk melakukan pendekatan parameter yang dibutuhkan dalam sistem bio-modeling.

The students have understanding about biomodelling and computer simulation application in biomedical engineering field.

The students have ability to develop a biomodelling application for simple physiology function of human body.

The students have ability to do parameter estimation for a biomodelling system.


Pengantar Biomodeling Perangkat pemodelan Transport massa: model kompartemen Pemodelan aliran dan tekanan dalam sistem

kardiovaskular Pemodelan sistem respirasi Pemodelan sistem prostetik Estimasi parameter Multiple modelling Introduction to Biomodeling The tools of modeling Mass transport: Compartment model Pressure-flow modeling of cardiovascular system Respiratory system modeling Prosthetic system models

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Parameter Estimation Multiple modelling


Mathematical and Computer Modeling of Physiological Systems, Vincent C Rideout, Prentice-Hall International Editions, 1991


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TE 092435: Biomekanika TE 092435: Biomechanics Sks /Credits: 2 Semester: II


Mahasiswa memahami landasan theori dan prinsip biomekanika dengan penekanan pada biomekanika gerakan manusia untuk mendasari riset bidang rekayasa rehabilitasi gerakan manusia. To have an uderstanding in fundamental theories and principles of biomechnis (emphasized in biomechanis of human movements to establish basics of human movement rehabilitation researches.


Mahasiswa memahami prinsip-prinsip penting dalam biomekanika

Mahasiswa mamapu memanfaatkan prinsip-prinsip dalam biomekanika untuk analisa gerakan manusia dan sistesa suatu metode rehabilitasi gerakan manusia

To have understanding of principles of biomechanics. To have ability to utilize biomecanical principles to

analyse human movement and to create a method of human movement rehabilitation.


Prinsip-prinsip dasar mekanika Mekanika terapan Biomekanika Gaya Moment, dan torsi, Analisa Statika dalam

Biomekanika, Pengantar Ilmu Gerakan Manusia: goniometeri dan pengukuran gerakan manusia, Kinematika dan Dynamika, Human Movement Analysis, Defomarble body mechanics, Mechanical Properties of biological tissue

Basic principles of mechanics Engineering mechnis Biomechanics Force Moment, static analyis, introductory human

movement science: goniometry and human movement measurement, kinematics and dynamics, human movement analysis, defomarble body mechanics,

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mechanical properties of biological tissue


Nihat Ozkaya, and Margareta Nordin, Fundamentals of Biomechanics: Equilibrium, motion, and deformation, 2nd edition, Springer-Verlag, New York, Inc., 1999.

B. M. Nigg and W Herzog, Biomechanics of the musculo-skeletal system, John Willey & Sons., Inc. 1995.

Jack M. Winters, and Patrick F. Cargo (Eds.), Biomechanics and Neural Control of Posture and Movements, Springer-Verlag, NY, Inc., 2000.

M. Enoka, Neuromechanics of human movements, 3rd editon, Human Kinetics, IL, 2002.

J. Perry, Gait analysis: normal and pathological functions, Slack Inc., NJ, 1992.

M.W. Whittle, Gait analysis: an introduction, Butterworth Heinemann, 3rd edition, Edinburg, 2002.

Mark D. Grabiner, Current issues in biomechanics (Ed), Human Kinetics, 1993, USA.


Artikel terpilih dari jurnal-jurnal Biomechanics, Gait & Posture.

Selected jounral papers: Biomechanics, Gait & Posture.


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TE 092436: Pencitraan Medika TE 092436: Medical Imaging Sks /Credits: 3 Semester: II


Memiliki kemampuan dalam mengambarkan teknologi pencitraan yang digunakan terkait dengan Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) and Ultrasound (US). To have ability to describe modern diagnostic imaging technologies, Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) and Ultrasound (US) are also covered.


Mahasiswa mempunyai kemampuan untuk mendiskripsikan teknologi diagnose pencitraan.

Mahasiswa mempunyai kemampuan merancang algoritma pencitraan sederhana untuk meningkatkan kualitas citra.

Mahasiswa mempunyai kemampuan untuk melakukan studi perbandingan untuk mengevaluasi kelebihan dan kekurangan dari sistem pencitraan yang ada.

Students have ability to describe modern diagnostic techniques.

Students have ability to develop a simple medical imaging algorithm for improving the result quality.

Students have ability to do a comparative study to evaluate the advantages/disadvantages of a medical imaging modality.


Prinsip dasar pencitraan (x-ray, radiotracers, ultrasound, radio frequency waves & magnetic field)

X-ray dan Fisika atom Aplikasi radiography dan keterbatasannya Pencitraan menggunakan CT Pemanfaatan teknologi nuklir dalam bidang kedokteran Fisika bunyi (prinsip Doppler, dan penggunaan

transduser ultrasonic) Prinsip esonansi magnetis Pencitraan aliran Kualitas pencitraan dalam MRI

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Overview imaging probes, x-ray, radiotracers, ultrasound, radio frequency waves & magnetic field

Atomic physics, x-ray generation and detection, interaction of x- ray & tissue, projection

Radiography Application & limitation of projection CT image formation and CT reconstruction Nuclear medicine: radioactivity, SPECT, PET, clinical

application Sound physics, Doppler,transducers, beam profile

Image formation various scanning modes, clinical application

Magnetic resonance physics, polarization, Larmor recession, RF excitation and detection

Flow imaging: phase contrast, time of flight, contrast enhancement

Image quality in MRI: noise, artifacts Clinical application


Medical Imaging Physics, William R. Hendee, E. Russell Ritenour, 2002,Wiley-Liss.

Medical Imaging, Signals and systems, Jerry L Prince, Jonathan M Links, 2006. Pearson Prentice Hall

Handbook of Medical Imaging PUSTAKA PENUNJANG/OPTIONAL REFERENCES

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TE 092094: Proposal Riset TE 092094: Research Proposal Sks /Credits: 2 Semester: II


Mahasiswa mampu menyusun proposal riset berdasarkan cluster riset yang diminati dan mampu melakukan komunikasi ilmiah melalui tulisan. To have a skill of developing a research proposal based on own research cluster, and to have a skill in scientific communication.


Mahasiswa memahami kaidah-kaidah dan format dalam penyusunan proposal riset.

Mahasiswa mampu berpikir sistematis dalam penyusunan langkah-langkah riset.

Mahasiswa mampu mengaktualisasikan inovasi-inovasi baru dalam proposal riset.

Mahasiswa mampu melaporkan dan mengkomunikasikan hasil riset dalam forum ilmiah.

To have an understanding of fundamentals and formats of research proposal.

To have a capability in systematic thinking in planning of a research steps.

To have a capability in actualize novel innovations in a research proposal.

To have a capability of reporting and communicating research results in a certain scientific forum.


Teknik penulisan ilmiah Format penulisan proposal riset Penulisan abstrak Pemaparan latar belakang Pemaparan methodologi riset, methoda eksperimen dan

analisa, teknik penulisan laporan hasil riset. Scientific Writing Writing format of research proposal Writing abstracts Background exposition Research methodology, experimental methods and

analysis, writing techniques of research report.

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Marc E Tischler, Scientific Writing Booklet, Dept. Biochem. & Mol. Biophysics, Arizona University.



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PRASYARAT/PREREQUISITE Pengenalan Bidang Riset Introduction to Research Fields

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TE 092437: Informatika Medika TE 092437: Medical Informatics Sks /Credits: 2 Semester: II


Memahami penerapan sistem informasi dalam bidang kedokteran khususnya terkait dengan aspek hukum, etika dan sosial. To describe the dynamics of biomedical computing from legal, ethical and social perspectives.


Mahasiswa mempunyai kemampuan dalam mendiskripsikan pengembangan terkini bidang informatika medis.

Mahasiswa mempunyai kemampuan untuk merancang sistem informasi manajemen kesehatan sederhana baik perangkat keras maupun perangkat lunak.

Mahasiswa mampu memberikan pertimbangan yang diperlukan dalam mengaplikasikan HMIS dan telemedikaterkait dengan infrastruktur yang tersedia di setiap area.

Students have ability to describe the current development in medical informatic field.

Students have ability to design a simple Health Manajemen Information System (HMIS) both hardware and software.

Students have ability to have a design consideration related to HMIS dan telemedicine application system related to the infrastructure in each area.


Perkembangan , evolusi dan implementasi HMIS Teori dan perancangan sistem rekam medik, peralatan

terapi dan teknik pengambilan keputusan Laboratoriumdigital dan HMIS terintegrasi. Aspek legal dan etikaLegal Komputasi genomics Aplikasi ID pasien dan Smart Card Internet dan telemedika The evolution and implementation of architectures &

networks in HMIS The design and theory of record-keeping systems,

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therapeutic devices, clinical decision-making techniques The digital laboratory and integrated health

management systems. Legal and ethical topics: privacy & confidentiality, risk &

liability, professional responsibility, legislative mandates and processes

Computational genomics Patient ID's and Smart Cards application Internet and telemedicine.


Medical informatics, Bansal, Mohan, 2002. Handbook of Medical Informatics, J van Bemmel


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TE 092408: Pemrosesan dan Analisa Sinyal Biomedika TE 092408: Biomedical Signal Processing & Analysis Sks /Credits: 2 Semester: III


Mahasiswa mampu merancang sistem pemrosesan dan analisa sinyal biomedika. To have a capability in designing a computer-based system of biomedical signal processing and analysis.


Mahasiswa memahami fisiologi organ dan signal generation dari suatu sistem biologis.

Mampu melakukan permrosesan sinyal biologis untuk mengekstrak ciri sinyal yang bermanfaat untuk bidang biomedika.

Mahasiswa mamapu memanfaatkan mathematical tool untuk mengembangkan sistem analisa sinyal biomedika.

To have an understanding of physiological basis and signal generation of a biological system.

To have a skill in processing biological signal to extract features of the biomedical signals.

To have a skill to utilize mathematical tools for developing a system of biomedical signal analysis.


Dasar-dasar instrumentasi biomedik, Transducers for biomedical instrumentation, Biopotential signal: signal generation dan processing, Blood pressure and heart sound, Basic digital filtering for biomedical signal processing, Linear biomedical signal processing and analysis, Non-linear biomedical signal processing and analysis studi kasus. Biopotential signal: signal generation dan processing, Blood pressure and heart sound, Basic digital filtering for biomedical signal processing, Linear biomedical signal processing and analysis, Non-linear biomedical signal processing and analysis, journal review, case studies.


JL Semlow, Biosignal and Biomedical Image Processing, Marcell Dekker Inc., 2004.


Metin Akay (Ed), Biomedical Signal Detection, IEEE

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Press. Charles S Lessard, Signal Processing of Random

Physiological Signals, Morgan & Claypool Publishers, 2006.

Neil A. Mcmillan & C Douglas Creelman, Detection Theory, LEA Publishers, 2005


Artikel terpilih dari jurnal-jurnal bidang Ann of BME, IEEE Trans BME, IEEE Trans Rehabl Eng, dll. Selected articels from scientific journals: Ann of BME, IEEE Trans BME, IEEE Trans Rehabl Eng, etc.


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TE 092409: Sistem Neural dan Rekayasa Rehabilitasi TE 092409: Neural System & Rehabilitation

Engineering Sks /Credits: 3 Semester: III


Mahasiswa mampu memahami metode-metode dalam neural rebalitation. To have an understanding of various methods in neural system rehabilitation.


Mahasiswa memahami aspek anatomi dan fisiologi dari neural system

Mahasiswa memahami metode-metode dalam rehabilitation engineering dengan penekanan pada neural system rehabilitation.

To have an understanding of anatomy and physiology of human neural system.

To have an understanding of various methods in rehabilitation engineering (emphasized in neural system rehabilitation).


Fiosilogi neural & muscular sistems, orthopedic prosrthesis, orthotics in rehabilitation, ambulatory systems, external powered orthotics & prosthetics, sensory augmentation, measurement tool in rehabl eng., functional electrical stimulation (FES) and application, telaah artikel jurnal. Physiologuy of neural & muscular systems, orthopedic prosrthesis, orthotics in rehabilitation, ambulatory systems, external powered orthotics & prosthetics, sensory augmentation, measurement tool in rehabl eng., functional electrical stimulation (FES) and application, jounal review.



J Moore and G Zourdiakis, Biomedical Technology and Devices Handbook, CRC Press, 2004.

A Kralj and T Bajd, Functional Electrical Stimulation: standing amd walking after spinal cord injury, CRC Press, 1989.

PUSTAKA Artikel terpilih dari jurnal-jurnal IEEE Trans BME, IEEE Trans

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PENUNJANG/OPTIONAL REFERENCES

Rehabl Eng, dll. Selected articels from scientific journals: IEEE Trans BME, IEEE Trans Rehabl Eng, etc.


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TE 092410: Biomaterial TE 092410: Biomaterial Sks /Credits: 2 Semester: III


Memiliki kemampuan untuk mendeskripsikan kebutuhan, klasifikasi dan properti dari bahan biomaterial, teknik sterilisasi, biocompatibilitas dan pengujian biomaterial/implant. To have ability for describing the requirements, classification and properties of some common biomaterials, sterilization techniques, biocompatibility and testing of biomaterials/implants.


Mahasiswa mempunyai kemampuan untuk mendeskripsikan properti dari biomaterial.

Mahasiswa mempunyai kemampuan untuk mendeskripsikan biocompatibilitas dan toxicological screening.

Mahasiswa mempunyai kemampuan untuk mendeskripsikan artificial materials dan peralatannya yang dibutuhkan dalam penggunaan klinis.

Students have ability to describe the properties of biomaterials.

Students have ability to describe the biocompatibility & toxicological screening of biomaterials.

Students have ability to describes the artificial materials and devices in clinical use.


Pendahuluan biomaterial Implant materials Biocompatibility & toxicological screening bahan

biomaterial Teknik Sterilisasi Pengujian biomaterial/Implant Artificial materials Sintesa, karakterisasi dan properti fungsional dari

Synthesis, characterization and functional properties organic and inorganic biomaterials and implants.

Introduction to biomaterial Implant materials Biocompatibility & toxicological screening of

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biomaterials, Sterilization techniques Testing of biomaterials/Implants; Artificial materials and devices in clinical use Synthesis, characterization and functional properties of

organic and inorganic biomaterials and implants.


Biomaterials - Science and Engineering, J B Park, Plenum Press , 1984.

Biomaterials, Sujata V. Bhat, Narosa Publishing House, 2002.

Biological Performance of materials, Jonathan Black, Marcel Decker, 1981


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TE 092099 : Tesis TE 092099 : Thesis Sks /Credits: 6 Semester: IV


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan teknik elektronika, dengan kontribusi ilmiah yang disesuaikan dengan program magister. The student can apply the methods to solve the problems in the field of electronic engineering that have the contribution related the master program.


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan sesuai bidang keilmuan. The Student hav

Documents

S2 Bidang Keahlian Elektronika