cover
Contact Name
Risanuri Hidayat
Contact Email
risanuri@ugm.ac.id
Phone
+62274-552305
Journal Mail Official
jnteti@ugm.ac.id
Editorial Address
Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Articles 14 Documents
Search results for , issue "Vol 5 No 4: November 2016" : 14 Documents clear
Desain Awal Analog Front-End Optical Transceiver untuk Aplikasi Visible Light Communication Trio Adiono; Syifaul Fuada; Angga Pratama Putra; Yulian Aska
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Analog Front-End (AFE) is a part of physical layer (PHY) at Visible Light Communications (VLC) system which has important things to transmit and receive the data. This research is a preliminary study in designing AFE transceiver which consists of LED driver and Trans-impedance Amplifier (TIA). The results are used as advanced reference design of AFE system and also to determine the modulations range (analog as well as digital). The design verification is based on data transmission which generated by signal generator. Square wave signal is used as digital modulation representative, and sinusoid signal as analog modulation representatitive. The range of VLC channels is about 50 cm with 0o angle. The result shows that digital modulation bandwidth is about 1 KHz to 10 KHz frequency, and analog modulation bandwidth is from 200 KHz to 600 KHz. We also find a significant impact by adding 1 pF capacitor to reduce noise gain. Furthermore, color filter testing is performed to investigate the design performance.
Desain Sistem Monitoring Sistem Photovoltaic Berbasis Internet of Things (IoT) Winasis; Azis Wisnu Widhi Nugraha; Imron Rosyadi; Fajar Surya Tri Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1058.033 KB)

Abstract

Photovoltaic (PV) system is an alternative solution to provide electricity at rural area. A common implementation problem at rural area is the PV power plant cannot be monitored continuously. This research proposes wireless node for PV power plant monitoring based on Internet of Things (IoT). Wireless node is aimed for monitoring electrical parameter from the PV and environmental parameter (temperature and solar radiation). Measured parameters are sent to the cloud database to be accessible via the internet. The device consist of a sensor module, signal processing module and wireless transceiver module. Wireless transceiver module is an ESP8266 for connection to the IoT gateway and to the internet. Unidirectional ACS758 is used for current sensing, which give a reading error of 0.091 Ampere. For voltage sensing, a voltage divider is used. It has a reading error of 0.063 Volt. DHT22 is used for temperature sensing. Its reading error is 0.0097 °C. The radiation sensor has a reading error of 0.3 W/m2. Proposed design has been tested at Laboratorium of Energy Convertion, Electrical Engineering Department, UNSOED, on 300Wp PV system. This device provides reliable monitoring data transmission with average and deviation in delivery time consecutively 57 seconds and 2 seconds.
Neural Network pada Koordinasi PSS dan TCSC untuk Meningkatkan Kestabilan Sistem Tenaga Terinterkoneksi Rudy Gianto; Kho Hie Khwee
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This paper develops a design procedure for adaptive coordination among power system damping controllers (i.e. power system stabilizers and supplementary damping controller of thyristor-controlled series capacitor) for improving the stability of an interconnected electric power system. The design is based on the use of neural network which identifies the optimal controller parameters online. The inputs to the neural network include the active- and reactive- power of the synchronous generators which represent the power loading on the system, and elements of the reduced nodal impedance matrix for representing the power system configuration. The neural network-based adaptive controller is trained offline with a wide range of credible power system operating conditions and configurations. The controller parameters obtained from the trained neural network are verified by both eigenvalue calculations and time-domain simulations, which confirms that good dampings of the eletromechanical modes and stability are achieved.
Unit Commitment dengan Kekangan Keandalan Menggunakan Algoritme Genetika Mempertimbangkan Ketidakpastian Beban Sarjiya; Sasongko Pramono Hadi; Daniar Rizki Wijayanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (762.666 KB)

Abstract

Unit commitment problem is associated with satisfying load demand and minimizing the total operating cost of the generating unit without violation of unit and system constraints. The solution of unit commitment should be reliable which has adequate spinning reserve in order to anticipate the uncertainty issue. This research proposes a method to handle two uncertainty issues, i.e. unit unavailability and load forecast uncertainty. The unit commitment problem is solved by genetic algorithm with priority list approach. The evaluation of spinning reserve capacity is based on probabilistic criterion by incorporating two reliability indices, i.e. loss of load probability (LOLP) and expected unserved energy (EUE). The effectiveness of the proposed method is tested using IEEE Reliability Test System-1996. The simulation results show that the proposed method is capable for solving unit commitment problem at total operational cost of $ 722186.93 and risk index at 0.347% (while EUE 0.01%, LOLP 1% and standard deviation (SD) 5%). The simulation results also demonstrate that several solution of the method have slightly lower cost up to 0.43% than those obtained in benchmark which the solution based on Simulated Annealing method.

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