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JURNAL NASIONAL TEKNIK ELEKTRO
Published by Universitas Andalas
ISSN : 23022949     EISSN : 24077267     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Jurnal Nasional Teknik Elektro (JNTE) adalah jurnal ilmiah peer-reviewed yang diterbitkan oleh Jurusan Teknik Elektro Universitas Andalas dengan versi cetak (p-ISSN:2302-2949) dan versi elektronik (e-ISSN:2407-7267). JNTE terbit dua kali dalam setahun untuk naskah hasil/bagian penelitian yang berkaitan dengan elektrik, elektronik, telekomunikasi dan informatika.
Arjuna Subject : -
Articles 14 Documents
 1   2 
Search results for , issue "Vol 9, No 1: March 2020" : 14 Documents clear
Pengendalian Mobile Robot Non-Holonomic Berdasarkan Gestur Jari Menggunakan Template Matching Chaidir, Ali Rizal; Herdiyanto, Dedy Wahyu; Kalandro, Guido Dias
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.083 KB) | DOI: 10.25077/jnte.v9n1.741.2020

Abstract

Control of non-holonomic mobile robots based on gestures is a technique for controlling non-holonomic mobile robot movements using finger gestures. Mobile robots can move forward, backward, turn right, and turn left based on finger gestures. The task can be done based on the operator's command. One of the techniques used by operators to control robots is to use sensors installed in the operator's hands. In addition to requiring sensor components, the use of sensors requires additional hardware to acquire sensor readings. This research offers another solution for controlling non-holonomic mobile robots. The solution is to use a camera to recognize the robot operator's hand gestures. Each gesture is stored as a binary image, then each gesture captured by the camera is compared with the previously saved image using template matching, so that the movement of the non-holonomic wheeled robot moves based on the operator's finger gesture. The results of this study indicate the camera can recognize finger gestures to give commands to the robot. Finger gestures are used to give commands to the robot to move forward, backward, turn right and left, and stop, the percentage of success of the test is 95%.Keywords : Gesture, Mobile robot dan Template matchingAbstrakPengendalian mobile robot non-holonomic berdasarkan gestur adalah suatu teknik untuk mengatur gerakan mobile robot non-holonomic menggunakan gestur jari, setiap gestur mewakili gerakan robot. Mobile robot dapat bergerak maju, mundur, belok kanan, dan belok kiri berdasarkan gestur jari. Tugas tersebut dapat dilakukan berdasarkan perintah operator. Dengan memanfaatkan perintah operator, pergerakan robot tidak tergantung pada lingkungan yang tetap. Salah satu teknik yang digunakan operator untuk mengendalikan robot adalah menggunakan sensor yang terpasang di tangan operator. Selain membutuhkan komponen sensor, penggunaan sensor membutuhkan perangkat keras tambahan untuk mengakuisisi data hasil pembacaan sensor. Penelitian ini menawarkan solusi lain untuk mengendalikan mobile robot non-holonomic, yaitu menggunakan kamera untuk mengenali gestur tangan operator robot. Setiap gestur disimpan dalam bentuk citra biner, kemudian setiap citra gestur yang tertangkap kamera dibandingkan dengan citra yang tersimpan sebelumnya menggunakan template matching. Sehingga pergerakan robot beroda non-holonomic bergerak berdasarkan gestur jari operator. Hasil dari penelitian ini menunjukkan kamera mampu mengenali gestur jari untuk memberikan perintah kepada robot. Gestur jari digunakan untuk memberikan perintah kepada robot agar bergerak maju, mundur, belok kanan dan kiri, dan berhenti, persentase keberhasilan dari pengujian tersebut adalah sebesar 95%.Kata Kunci : Gestur, Mobile robot dan Template matching 
Design and Implementation of Series Resonant DC-DC Converter Budiman, Firmansyah Nur; Amrad, Arridha
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.871 KB) | DOI: 10.25077/jnte.v9n1.736.2020

Abstract

The resonant DC-DC converter is known as advantageous over conventional DC-DC converter in terms of efficiency. This is primarily because the resonant converter operates at soft switching mode. In this paper, we report our work on the design and implementation of a series resonant DC-DC converter with full-bridge switching. The developed converter consisted of two main parts, namely the PWM signal-generating circuit as the driver for MOSFET and converter primary circuit. The first part was implemented by using Arduino UNO R3, whose output was amplified with IR2110 optocoupler. The latter was made up of full-bridge inverter, which employs MOSFET as the electronic switches, resonance circuit, and full-bridge uncontrolled rectifier. Performance of the developed converter was tested by supplying input voltage ranging from 20 to 30 V. It was shown that the converter functioned as a step-down “DC” transformer, i.e. voltage reducer. The maximum output voltage level obtained was half of the input, which was achieved at switching frequency of 40 kHz and efficiency of 50%. The converter was also tested to supply practical electrical load. In this case, a 12-V electric drill was put in place. The drill worked well, and a converter efficiency of 43% could be calculated during this operation.Keywords : DC-DC Converter, Series Resonance and Switching
Sizing Methodology for Hybrid Solar photovoltaic/Hydrogen System using Deterministic Balance Method (DBM)-Case Study in Egypt Selim, Alaa Emad El Din; El-Shimy, Mohamed; Amer, Ghada
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v9n1.688.2020

Abstract

A technical analysis based on modeling, simulation, optimization and verification was conducted for the design of an off-grid hybrid solar PV/hydrogen system. The main objective is to make sizing optimization of the off-grid system to meet the desired electric load of a residential community in a studied region. Additionally, the goal of this study is to have a 100% renewable fraction penetration in the energy mix resulting in a zero percentage of the greenhouse gas emissions and lowering the cost of energy from power systems and verifying the design concept using SAM (System Advisor Model). The effect of meteorological data inputs for the hybrid off-grid system was investigated in Cairo international Airport zone. The distributed power generation in this paper was using solar PV and Fuel Cell energy systems integrated with electrolyzer and hydrogen tank where the main resource for production is the PV modules so that it satisfies the load demand during the peak sun hours and supplying an excess energy to be stored for the later use of fuel cell to supply community load demand of average 4980 kWhr/day.Keywords : Solar PV, Fuel Cell, Hydrogen production, Optimization, off-grid
Aplikasi Identifikasi Huruf Braille Menggunakan Computer Vision Berbasis Raspberry Pi Ramiati, Ramiati; Aulia, Siska; Lifwarda, Lifwarda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v9n1.707.2020

Abstract

Sense of vision is a source of information on humans. Some humans are created with limited sense of sight. The blind performs reading and writing activities using Braille letters, a printed code system consisting of six dots in various combinations that are highlighted on the paper so that they can be touched. To facilitate the visually impaired and the public in enjoying the works produced by blind people, a script reading system is characterized by Braille by studying the braille characters in advance of each character. This research makes a braille letter identification system into sound using computer vision. The method, the reading of Braille character scripts by studying braille characters. First, a scanner or Raspberry Pi-based camera captures braille characters. Second, the system converts Braille characters into alphabetical shapes by processing Optical Character Recognition images. Recognition of Braille character patterns in written text using Artificial Neural Networks. The results of research on braille testing are in the form of alphabetical texts a through z, and the sound signal of the pronunciation of the alphabet uses the Text To Speech system. Braille to sound conversion system works well, with an average accuracy of system testing of 88.462%. This condition is achieved by using 70 gsm HVS paper and drawing paper with a 52 training image database. The system can only carry out the process of recognition of one character, so it can be used as a reference translator of audio-based braille characters that can be heard by the visually impaired and the community.Keywords : image processing, braille, OCR, JST, text to speechAbstrakIndera penglihatan merupakan sumber informasi pada manusia. Sebagian manusia diciptakan dengan keterbatasan indera penglihatan. Tunanetra melakukan aktifitas membaca serta menulis menggunakan huruf Braille, yaitu sistem cetakan berupa kode terdiri dari enam titik dalam berbagai kombinasi yang ditonjolkan pada kertas sehingga dapat diraba. Untuk memudahkan tunanetra dan masyarakat dalam menikmati karya-karya yang dihasilkan oleh penyandang tunanetra dibuat sistem pembacaan naskah berkarakterkan Braille dengan mempelajari karakter braille terlebih dahulu dari masing-masing karakternya. Penelitian ini membuat sistem identifikasi huruf braille menjadi suara menggunakan computer vision. Metodenya, pembacaan naskah berkarakter Braille dengan mempelajari karakter braille. Pertama, scanner atau kamera berbasis Raspberry Pi mengcapture karakter braille. Kedua, sistem mengkonversi karakter Braille ke bentuk abjad dengan pengolahan citra Optical Character Recognition. Pengenalan pola karakter Braille teks tulisan menggunakan Jaringan Saraf  Tiruan. Hasil penelitian pengujian huruf braille berupa teks abjad a sampai z, dan sinyal suara pengucapan abjad menggunakan sistem Text  To Speech . Sistem konversi braille menjadi suara bekerja dengan baik, dengan akurasi rata-rata pengujian sistem yaitu 88.462%. Kondisi ini dicapai dengan menggunakan kertas HVS 70 gsm dan kertas gambar dengan database 52 citra latih. Sistem hanya dapat melakukan proses pengenalan pada satu karakter, sehingga dapat digunakan sebagai referensi penterjemah naskah karakter braille berbasis audio yang dapat didengarkan oleh tunanetra dan masyakat.Kata Kunci : image processing, braille, OCR, JST, text to speech 
Implementasi Metode Deteksi Tepi Laplacian dan Jarak Euclidean untuk Identifikasi Tanda Tangan Afandi, Mas Aly; Purnama, Sevia Indah; Crisianti, Risa Farid
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.319 KB) | DOI: 10.25077/jnte.v9n1.756.2020

Abstract

Signature is one of the biometrics that are widely used for important document authentication and verification. The existence of a signature as a form of validation and approval in important documents is mandatory. Along in current sophisticated technological developments, signing can be done using digital media such as cellphones or other media. The ability of the system that can be identify a person signature is important. This research aims to implement the Laplacian edge detection method and Euclidean distance to identify a person signature. The total image that used is 20 signatures from 5 different people while 15 signatures as data training image and 5 signatures as a data test image. The result of this research indicate that Laplacian edge detection method and Euclidean distance have an accuracy of 94% with 1 neighbor, with 2 neighbor has an accuracy of 60% and has an accuracy of 74% with 3 neighbor. Keywords : signature, Laplacian edge detection and Euclidean distanceAbstrakTanda tangan adalah salah satu biometrik yang banyak digunakan untuk autentikasi dan verifikasi dokumen penting. Keberadaan tanda tangan sebagai bentuk pengesahan dan persetujuan dalam dokumen-dokumen penting adalah hal yang wajib. Seiring perkembangan teknologi saat ini, proses penandatanganan dapat dilakukan dalam media digital seperti handphone maupun media lainnya. Kemampuan sistem untuk mengidentifikasi tanda tangan seseorang menjadi penting karena banyak pemalsuan yang terjadi. Penelitian ini bertujuan untuk mengimplementasikan metode deteksi tepi Laplacian dan jarak Euclidean untuk mengidentifikasi tanda tangan seseorang. Total citra yang digunakan yaitu 20 tanda tangan dari 10 orang yang berbeda dimana 15 tanda tangan sebagai data citra latih dan 5 tanda tangan sebagai data citra uji. Hasil penelitian ini menunjukkan bahwa metode deteksi tepi Laplacian dan jarak Euclidean memiliki akurasi sebesar 94% dengan 1 ketetanggaan, dengan 2 ketetanggaan memiliki akurasi sebesar 60%, dan memiliki akurasi sebesar 74% dengan 3 ketetanggaan.Kata Kunci : tanda tangan, deteksi tepi Laplacian dan jarak Euclidean
Noise Reduction on The Use of Different Ground Model on The EMI Filter of Reading LED Lighting for Passenger Train Prananto, Haryo Dwi; Sudrajat, Muhammad Imam; Wibowo, Priyo; Yoppy, Yoppy; Arjadi, R. Harry
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.851 KB) | DOI: 10.25077/jnte.v9n1.659.2020

Abstract

Initial measurement showed that reading LED lighting used in this experiment produced excessive conducted emissions (CE). EMC filter is needed to suppress the CE noise. The LED light is AC powered through a two-wire cable without ground wire, whereas the EMC filter does have ground. Experiments were conducted to find out the attenuation effect of different filter’s grounding connection methods. Four cases of grounding connections are measured and compared, i.e. unconnected ground, earth-connected ground, chassis-connected ground, and additional ground plate. Measurements showed that chassis-connected ground had the strongest attenuation effect. Also, for the additional ground plate configuration, it turned out  that larger plates exhibited stronger attenuation compared to smaller plates.Keywords : LED driver, EMC Filter, grounding, impedance, common mode
Utilizing Unified Power Flow Controller for Voltage Stability Improvement of the Electric Power Transmission System of Ghana Asihene, William Duodu; Effah, Francis Boafo; Normanyo, Erwin
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.958 KB) | DOI: 10.25077/jnte.v9n1.760.2020

Abstract

Interconnecting power transmission systems provide reliability of electric power supply. The security of the system is however questioned when a disturbance in any part of the interconnected system causes instability in the entire network. Unified Power Flow Controller (UPFC), which is a member of the flexible alternating current transmission system (FACTS) family, has the capability of controlling active and reactive power flow in a transmission line thereby improving the voltage stability of the system especially at the 500 kV configuration level. The performance of a 161-kV UPFC modelled in SimPowerSystems is tested on Ghana’s power transmission network.  The optimal placement of the UPFC is done using fast voltage stability index (FVSI) and maximum loadability assessment (MLA). The results show that the device improved the connecting bus voltage from 0.88 p.u. to 0.98 p.u. Active power loss in the network was also reduced from 13.40 MW to 10.39 MW when the UPFC was in circuit.Keywords: Ghana, Stability, Transmission system and Unified Power Flow Controller (UPFC)
Noise Reduction on The Use of Different Ground Model on The EMI Filter of Reading LED Lighting for Passenger Train Haryo Dwi Prananto; Muhammad Imam Sudrajat; Priyo Wibowo; Yoppy Yoppy; R. Harry Arjadi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.851 KB) | DOI: 10.25077/jnte.v9n1.659.2020

Abstract

Initial measurement showed that reading LED lighting used in this experiment produced excessive conducted emissions (CE). EMC filter is needed to suppress the CE noise. The LED light is AC powered through a two-wire cable without ground wire, whereas the EMC filter does have ground. Experiments were conducted to find out the attenuation effect of different filter’s grounding connection methods. Four cases of grounding connections are measured and compared, i.e. unconnected ground, earth-connected ground, chassis-connected ground, and additional ground plate. Measurements showed that chassis-connected ground had the strongest attenuation effect. Also, for the additional ground plate configuration, it turned out  that larger plates exhibited stronger attenuation compared to smaller plates.Keywords : LED driver, EMC Filter, grounding, impedance, common mode
Sizing Methodology for Hybrid Solar photovoltaic/Hydrogen System using Deterministic Balance Method (DBM)-Case Study in Egypt Alaa Emad El Din Selim; Mohamed El-Shimy; Ghada Amer
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.564 KB) | DOI: 10.25077/jnte.v9n1.688.2020

Abstract

A technical analysis based on modeling, simulation, optimization and verification was conducted for the design of an off-grid hybrid solar PV/hydrogen system. The main objective is to make sizing optimization of the off-grid system to meet the desired electric load of a residential community in a studied region. Additionally, the goal of this study is to have a 100% renewable fraction penetration in the energy mix resulting in a zero percentage of the greenhouse gas emissions and lowering the cost of energy from power systems and verifying the design concept using SAM (System Advisor Model). The effect of meteorological data inputs for the hybrid off-grid system was investigated in Cairo international Airport zone. The distributed power generation in this paper was using solar PV and Fuel Cell energy systems integrated with electrolyzer and hydrogen tank where the main resource for production is the PV modules so that it satisfies the load demand during the peak sun hours and supplying an excess energy to be stored for the later use of fuel cell to supply community load demand of average 4980 kWhr/day.Keywords : Solar PV, Fuel Cell, Hydrogen production, Optimization, off-grid
Aplikasi Identifikasi Huruf Braille Menggunakan Computer Vision Berbasis Raspberry Pi Ramiati Ramiati; Siska Aulia; Lifwarda Lifwarda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.348 KB) | DOI: 10.25077/jnte.v9n1.707.2020

Abstract

Sense of vision is a source of information on humans. Some humans are created with limited sense of sight. The blind performs reading and writing activities using Braille letters, a printed code system consisting of six dots in various combinations that are highlighted on the paper so that they can be touched. To facilitate the visually impaired and the public in enjoying the works produced by blind people, a script reading system is characterized by Braille by studying the braille characters in advance of each character. This research makes a braille letter identification system into sound using computer vision. The method, the reading of Braille character scripts by studying braille characters. First, a scanner or Raspberry Pi-based camera captures braille characters. Second, the system converts Braille characters into alphabetical shapes by processing Optical Character Recognition images. Recognition of Braille character patterns in written text using Artificial Neural Networks. The results of research on braille testing are in the form of alphabetical texts a through z, and the sound signal of the pronunciation of the alphabet uses the Text To Speech system. Braille to sound conversion system works well, with an average accuracy of system testing of 88.462%. This condition is achieved by using 70 gsm HVS paper and drawing paper with a 52 training image database. The system can only carry out the process of recognition of one character, so it can be used as a reference translator of audio-based braille characters that can be heard by the visually impaired and the community.Keywords : image processing, braille, OCR, JST, text to speechAbstrakIndera penglihatan merupakan sumber informasi pada manusia. Sebagian manusia diciptakan dengan keterbatasan indera penglihatan. Tunanetra melakukan aktifitas membaca serta menulis menggunakan huruf Braille, yaitu sistem cetakan berupa kode terdiri dari enam titik dalam berbagai kombinasi yang ditonjolkan pada kertas sehingga dapat diraba. Untuk memudahkan tunanetra dan masyarakat dalam menikmati karya-karya yang dihasilkan oleh penyandang tunanetra dibuat sistem pembacaan naskah berkarakterkan Braille dengan mempelajari karakter braille terlebih dahulu dari masing-masing karakternya. Penelitian ini membuat sistem identifikasi huruf braille menjadi suara menggunakan computer vision. Metodenya, pembacaan naskah berkarakter Braille dengan mempelajari karakter braille. Pertama, scanner atau kamera berbasis Raspberry Pi mengcapture karakter braille. Kedua, sistem mengkonversi karakter Braille ke bentuk abjad dengan pengolahan citra Optical Character Recognition. Pengenalan pola karakter Braille teks tulisan menggunakan Jaringan Saraf  Tiruan. Hasil penelitian pengujian huruf braille berupa teks abjad a sampai z, dan sinyal suara pengucapan abjad menggunakan sistem Text  To Speech . Sistem konversi braille menjadi suara bekerja dengan baik, dengan akurasi rata-rata pengujian sistem yaitu 88.462%. Kondisi ini dicapai dengan menggunakan kertas HVS 70 gsm dan kertas gambar dengan database 52 citra latih. Sistem hanya dapat melakukan proses pengenalan pada satu karakter, sehingga dapat digunakan sebagai referensi penterjemah naskah karakter braille berbasis audio yang dapat didengarkan oleh tunanetra dan masyakat.Kata Kunci : image processing, braille, OCR, JST, text to speech 

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