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Risanuri Hidayat
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risanuri@ugm.ac.id
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jnteti@ugm.ac.id
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Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
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INDONESIA
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
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
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 15 Documents
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Search results for , issue "Vol 6 No 2: Mei 2017" : 15 Documents clear
Transistor Efek Medan Berbasis Semikonduktor Organik Pentacene untuk Sensor Kelembaban Fadliondi; Budiyanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1587.8 KB)

Abstract

The purpose of this paper is to fabricate a humidity sensor from organic semiconductor and to understand the effect of the transistor`s structure on the sensitivity of humidity sensor. Organic MOSFETs were fabricated using organic semiconductor called pentacene. The structures were bottom-contact and top-contact. The bottom-contact pentacene MOSFET was more sensitive to humidity than the top-contact pentacene MOSFET was. When the relative humidity increased from 20 % to 70 %, for VGS = VDS = -5 V, the magnitude of drain source current of the MOSFET decreased from 0.45 µA to 0.1 µA for bottom-contact pentacene MOSFET and from 3.6 µA to 3 µA for top-contact pentacene MOSFET. As the relative humidity increased from 20 % to 70 %, for VGS = 2 V and VDS = -5 V, the magnitude of drain source current of the MOSFET increased from 0.77 nA to 3 nA for bottom-contact pentacene MOSFET and from 0.6 nA to 1.4 nA for top-contact pentacene MOSFET. As the relative humidity increased from 20 % to 70 %, the threshold voltage shifted toward positive direction, from 0.5 V to 2 V for bottom-contact pentacene MOSFET and from 1 V to 2 V for top-contact pentacene MOSFET. The result showed that the pentacene MOSFET with bottom-contact structure was more suitable for humidity sensor than that with top-contact structure.
Pengenalan Individu Berdasarkan Gait Menggunakan Sensor Giroskop Muhammad Satya Annas; Achmad Rizal; Ratri Dwi Atmaja
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.465 KB)

Abstract

Every persons have their own unique way of walking which is called gait. Gait can be used to identify a person. Gyroscope is a sensor used to detect vibration and measure acceleration based on direction or orientation. This paper presents an individual recognition based on gait using gyroscope sensor embedded in smartphone. The gait data is processed and analyzed by implementing Linear Predictive Coding (LPC) and k-Nearest Neighbour (k-NN). LPC is used to extract features from gait data. It produces feature vector based on combination of p-previous signal and takes only important value of the feature data. Then, k-NN is used for classification, using some calculation methods such as Euclidean, Cityblock, Cosine, and Correlation distance. The gait signals contain x,y,z axis and the signal magnitude. In this paper x,y,z axis and the signal magnitude are also combined to improve the accuracy. The highest accuracy of 99.58% is achieved using signal combination x-y-z-m. Overall, this person detection system produces accuracy between 50% to 99.58%.
Kendali Lampu Lalu Lintas dengan Deteksi Kendaraan Menggunakan Metode Blob Detection Qory Hidayati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1199.446 KB)

Abstract

Traffic jam is a major traffic problem often found in big cities of Indonesia. It is because the number of vehicles increases annually. Therefore, a simulation to detect the number of vehicles in every lane of traffic is needed to monitor the traffic. Traffic control is also required in order to reduce traffic jam. This paper develops a vehicle detection and counting system using image processing. Detection is carried out using image segmentation which is processed by object filtering and blob extraction. Morphological operators are employed for blob extraction. Testing is conducted using a video obtained from the ATCS Bandung. The video is taken at the Laswi - A. Yani intersection Bandung. Software prototypes are created in C++, using Windows Forms Application as a programming library for Windows and Open CV for image processing module. The result shows that blob detection method can give good results if there is no intersection between blobs of each car. The performance is poor when this method is used for heavy traffic conditions, where the cars are close to each other. The performance level of sensitivity is 91.67%, precision is 61.11%, specificity is 80.55%, f-Measure is 73.33%, and accuracy is 83.33%. The accuracy for vehicles detection on sunny condition is 82.11% and reduced by 76.50% on rainy condition. This method works better in quiet condition, with accuracy of 83.07%, and is reduced by 67.70% in crowded condition. The average processing time is 0.042 seconds when using video, and 0.033 seconds using real camera.
Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah Romi Wiryadinata; Umi Istiyah; Rian Fahrizal; Priswanto; Siswo Wardoyo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1514.2 KB)

Abstract

Attendance is the documentation of presence and activity in institution. A software has been made to monitor the attendance using face recognition. The software uses camera to capture the image and works on any background color. The aim of this paper is to calculate its performance with sensitivity, specificity, and accuracy using Eigenface Algorithm and Principal Component Analysis (PCA) method. Face recognition in this paper is based on Eigenface algorithm, using pixel information from images captured by webcam. The image is represented using PCA method. The software is tested using different expressions and accessories in object’s face. The performance of the software indicates 73.33%sensitivity, 52.17% specificity, and 86.67% accuracy. The successful rate in identifying the face for distance testing is 70%, while successful rate of 85% is achieved for object wearing eyeglasses and veil (jilbab). Furthermore, the successful rate for various expression is 85.33%.
Evaluasi Keandalan Perencanaan Pembangkit Wilayah Jawa-Bali dengan Mempertimbangkan Ketidakpastian Peramalan Beban Avrin Nur Widiastuti; Sarjiya; Kukuh Arung Pinanditho; Eko Tri Prastyo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (901.012 KB)

Abstract

Power system reliability is one of important aspects of power system operation. Lack of capacity in the generation system will affect reliability level of the power system. System evaluation needs to be done to know whether the system is still reliable to supply the load that is projected to increase 8.2% per year. Java-Bali system evaluation planning period 2015-2024 is conducted in this paper. Load forecast uncertainty (LFU) is one of the parameters that needs to be considered when conducting system planning. It is because load tends to be uncertain. This research uses two scenarios: without and with load forecast uncertainty. Reliability indexes LOLE and LOLP are used to evaluate the Java-Bali system. All calculations are based on a program using MATLAB. The result shows that reliability indexes LOLE and LOLP are higher with considering LFU. It means reliability decreases, rather than planning without considering LFU. Moreover, Java-Bali system reliability indexes meet the PLN’s standard value with the best value acquired in 2019.

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