| Kode Mata Kuliah | FI2171 / 3 SKS |
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| Penyelenggara | 102 - Fisika / FMIPA |
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| Kategori | Kuliah |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Instrumentasi Berbasis Jaringan | Network Based Instrumentation |
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| Bahan Kajian | - Pendahuluan tentang Internet of Things (IoT), industry 4.0, Artificial Inteligent, Machine Learning dan arsitektur sistem IoT
- metoda simulasi berbasis grid; metode elemen hingga
- Interfacing microcontroller dengan berbagai jenis sensor atau smart sensor (analog, I2C, SPI, serial, RS485, dsb)
- Membangun konektivitas sensor dengan protocol MQTT dan HTTP
- Membangun server dan perangkat aplikasi pendukungnya
- Menerapkan artificial intelligent dan machine learning untuk berbagai aplikasi
| - Introduction to the Internet of Things (IoT), industry 4.0, Artificial Intelligence, Machine Learning and IoT system architecture
- grid-based simulation methods; finite element method
- Interfacing microcontroller with various types of sensors or smart sensors (analog, I2C, SPI, serial, RS485, etc)
- Building sensor connectivity with MQTT and HTTP protocols
- Building servers and supporting application devices
- Applying artificial intelligence and machine learning to various applications
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu menjelaskan konsep dasar dan fungsi instrumentasi dalam jaringan
- Mampu merancang sistem IoT secara terintegrasi
- Mampu merancang, merekayasa, dan menganalisis sistem instrumentasi berbasis jaringan secara terintegrasi
- Mampu menganalisis dan menyelesaikan masalah terkait sistem berbasis IoT untuk berbagai aplikasi sistem fisis
- Mampu melaporkan hasil karya nya dalam bentuk lisan ataupun tulisan
- Mampu bekerja secara efektif, baik secara individu maupun dalam grup
| - Able to explain the basic concepts and functions of instrumentation in networks
- Able to design IoT systems in an integrated manner
- Able to design, engineer and analyze network-based instrumentation systems in an integrated manner
- Able to analyze and solve problems related to IoT-based systems for various physical system applications
- Able to report the results of his work in oral or written form
- Able to work effectively, both individually and in groups
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| Metode Pembelajaran | Tatap muka, eksperimen, kerja kelompok, dan RBL | Face to face, experiments, group work, and RBL |
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| Modalitas Pembelajaran | Penguasaan perangkat keras, perangkat lunak dan pemrograman | Mastery of hardware, software and programming |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Tugas Mandiri, Tugas Kelompok, Quiz, Ujian dan RBL | Independent Assignments, Group Assignments, Quizzes, Exams and RBL |
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| Catatan Tambahan | MPKB | |
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