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INDONESIA
JURNAL NASIONAL TEKNIK ELEKTRO
Published by Universitas Andalas
ISSN : 23022949     EISSN : 24077267     DOI : -
Core Subject : 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.
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Articles 610 Documents
Design of a GSM-Based Skimming Reporting System for Automated Teller Machines Robert Agyare Ofosu; Mununi Fuseini; Ernest Quaye Nii Atuquaye
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 3: November 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1288.682 KB) | DOI: 10.25077/jnte.v9n3.770.2020

Abstract

In recent years, there has been the unpleasant advent of a new type of credit card fraud called Automated Teller Machine (ATM) skimming. This type of fraud poses a substantial threat to the banking sector because its modus operandi is quite subtler than other known types of ATM fraud. It consists of a criminal implanting a disguised dummy card reader very similar to the ATM’s original card reader at the ATM. This is done to intercept the ATM card data of any unsuspecting customer who tries to withdraw cash. This paper seeks to design a system which will be able to detect and report such devices before they cause harm. The objective of this research was achieved by designing a skimmer incorporating the use of a metal detector for detecting new electronic components within the ATMs card slot region, an ultrasonic sensor for detecting unfamiliar skimmer overlays and the processing power of a microcontroller to coordinate theses sensors which monitor the status of the ATM terminal’s original card reader and send a Short Message Service (SMS) text message whenever the system detects that a skimmer has been attached to the ATM terminal. This concept of skimming detection was designed, tested and simulated under several operating conditions in Proteus 8.0 simulation software to prove the detection method’s efficacy. The simulation results showed that the proposed system provided a decent theoretical skimmer detection technique. However, other factors such as metal detector oscillator instability and the difficulty in accurately modelling the composition of ATM skimmers served as this design’s major drawbacks.Keywords : ATM, Skimming, GSM, Microcontroller
Komparasi dan Optimasi Model Propagasi Pada Sistem Komunikasi Seluler Di Kota Palembang Mohammad Fadhli; Sopian Soim
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 2: July 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.641 KB) | DOI: 10.25077/jnte.v9n2.773.2020

Abstract

Various propagation models can be used to predict path loss. Each propagation model is classified according to its environment categories. These environment categories are purely subjective, therefore to get accurate predictions, proper environment category selection is needed. In this paper, four propagation models are compared with RSL measurements at five sites in Palembang City. The models being compared are Okumura Hata, ECC-33, Ericsson, and SUI. Based on comparison using RMSE parameters, large urban is the appropriate environment category for Palembang City in the Okumura Hata model. For ECC-33, the appropriate environment category is medium urban. In the Ericsson model, the appropriate category is suburban, and terrain type A for SUI model. From the comparison of four models based on RMSE and standard deviations, it is known that for measurement results of five sites in Palembang City, the ECC-33 model has high accuracy with RMSE of 3,28 dB and standard deviation of 2,74 dB. After optimization, the Okumura Hata model provides an RMSE of 1,75 dB and a standard deviation of 0,76 dB. It is recommended to use the Medium Urban ECC-33 model or the optimized Large Urban Okumura Hata model to predict path loss in Palembang City.Keywords : Propagation Models, Optimization, Environment Categories, Okumura Hata, ECC-33, Ericsson, SUI.' AbstrakTerdapat berbagai macam model propagasi yang dapat digunakan untuk memprediksi path loss. Setiap model propagasi diklasifikasikan berdasarkan kategori lingkungannya. Pembagian kategori lingkungan ini bersifat subjektif, sehingga untuk mendapatkan prediksi yang akurat diperlukan pemilihan kategori lingkungan yang tepat. Penelitian ini membandingkan empat jenis model propagasi dengan hasil pengukuran RSL pada lima site di Kota Palembang. Model yang dibandingkan adalah Okumura Hata, ECC-33, Ericsson dan SUI. Berdasarkan komparasi menggunakan parameter RMSE, Kota Palembang menurut model Okumura Hata termasuk dalam kategori large urban. Sedangkan pada model ECC-33 termasuk kategori medium urban. Pada model Ericsson termasuk kategori suburban, dan pada model SUI termasuk dalam tipe terrain A. Dari perbandingan keempat model berdasarkan RMSE dan standar deviasi, diketahui bahwa pada hasil pengukuran lima site di Kota Palembang, model ECC-33 memiliki akurasi yang tinggi dengan RMSE 3,28 dB dan standar deviasi 2,74 dB. Setelah dioptimasi, model Okumura Hata juga memberikan akurasi prediksi yang tinggi, dengan RMSE 1,75 dB dan standar deviasi 0,76 dB. Sehingga disarankan untuk menggunakan model ECC-33 medium urban atau model Okumura Hata large urban yang telah dioptimasi untuk mempredikasi path loss di Kota Palembang.Kata Kunci : Model Propagasi, Optimasi, Kategori Lingkungan, Okumura Hata, ECC-33, Ericsson, SUI
Analisis Perbandingan Unjuk Kerja Database SQL dan Database NoSQL Untuk Mendukung Era Big Data Ari Fadli; Mulki Indana Zulfa; Azis Wisnu Widhi Nugraha; Acep Taryana; Muhammad Syaiful Aliim
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 3: November 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.396 KB) | DOI: 10.25077/jnte.v9n3.774.2020

Abstract

Recently, the development of data in the digital world has produced new challenges. The challenge is increasing number and complexity of data and variations in data (structured and unstructured). Conventional database management system (RDBMS) is not able to answer these challenges effectively because in RDBMS uses a related structured table approach to store information. Currently present, a database management system called NoSQL. This NoSQL system was introduced to provide quick scalability (amount and complexity) and unstructured data. In this study, we present the performance analysis of RDBMS and NoSQL database management systems in the case of increasing the number of data. We use the simple php page to test database systems, experiments are done with use four data sets of different sizes from academic information systems. The database NoSQL approach is used by Redis and the SQL database approach is used by MySQL. The results show that the noSql database has a execution time better than the MySQL database, there is an increase in the speed of the execution time by 87.58% in the create operation, 85.53% in the update operation, and in the delete operation by 86.40% and while in the read operation the increase in execution time speed is obtained by 57.09%, so that on average the Redis database has a show work better than the MySQL database at 79.15%..Keywords : MySql Database, Redis Database, PHP Programming AbstrakBaru-baru ini, perkembangan data di dunia digital telah menghasilkan tantangan baru. Tantangannya adalah meningkatnya jumlah dan kompleksitas data dan variasi data (terstruktur dan tidak terstruktur). Sistem manajemen basis data konvensional (RDBMS) tidak dapat menjawab tantangan ini secara efektif karena dalam hal ini RDBMS menggunakan pendekatan tabel terstruktur sebagai konsep dalam menyimpan informasi. Saat ini, telah hadir sistem manajemen basis data yang disebut NoSQL, Sistem NoSQL memiliki kemampuan menangani data yang tidak terstruktur yang jumlah dan kompleksitas terus meningkat. Dalam penelitian ini, kami menyajikan hasil analisis perbandingan unjuk kerja Sistem Manajemen Basis Data konvensional (RDBMS) dengan NoSQL pada kemampuannya dalam menangani pertumbuhan data yang terus meningkat. Metode yang digunakan dalam melakukan analisis perbandingan unjuk kerja RDBMS dengan NoSQL adalah waktu eksekusi yang dibutuhkan untuk melakukan operasi dasar pada sistem basis data yaitu create, read, delete dan update. RDMBS yang digunakan pada penelitian kali ini adalah MySQL sedangkan pada sistem NoSQL digunakan oleh Redis Database. Hasil penelitian menunjukkan bahwa Redis Database memiliki waktu eksekusi yang lebih baik daripada MySQL Database, terdapat peningkatan kecepatan waktu eksekusi tersebut sebesar 87.58% pada operasi create, 85.53% pada operasi update, dan pada operasi delete sebesar 86.40% dan sedangkan pada operasi read penigkatan kecepatan waktu eksekusi yang diperoleh sebesar 57.09%, sehingga secara rata-rata database Redis memiliki unjuk kerja yang lebih baik dari database MySQL yaitu sebesar 79.15%.Kata Kunci : MySql Database, Redis Database, Pemgoramaman PHP
Quality of Service Comparison of LOS and NLOS Propagation in a LoRaWAN-Based Remote Monitoring System Fikri Nizar Gustiyana; Muntaqo Alfin Amanaf; Danny Kurnianto
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 2: July 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.673 KB) | DOI: 10.25077/jnte.v10n2.781.2021

Abstract

Indonesia is an agricultural country with a wealth of natural resources. The agricultural sector is one of the natural resources with great potential. The processing and monitoring of very large agricultural land is currently a problem that must be resolved as soon as possible. The use of a remote monitoring system is the solution to this problem. The LoRa protocol is one of the communication protocols that can be used on large farms. This communication system is part of the low-power wide-area network communication system. The LoRaWAN communication system was implemented on agricultural soil moisture monitoring devices in this study. Based on the findings, it is possible to conclude that the propagation used at the time of transmission influences the success rate of data transmission via LoRaWAN communication. Line of Sight (LOS) propagation has a higher success rate than Non Line of Sight (NLOS) propagation. The LOS value is 17% greater than the NLOS at a distance of 100 meters. The LOS value is 24% greater than the NLOS at a distance of 150 meters. The LOS value is 3% greater than the NLOS value at a distance of 200 meters. LOS propagation measurement throughput is higher than NLOS propagation measurement throughputKeywords: LoRa, LoRaWAN, Wireless, Internet Of Things
Klasifikasi Jenis Kayu Menggunakan Esktrasi Fitur Gray Level Co-Occurence Matrix dan Multilayer Perceptron Deni Wahyu Wibowo; Danang Erwanto; Diah Arie Widhining Kusumastutie
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 1: March 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.416 KB) | DOI: 10.25077/jnte.v10n1.788.2021

Abstract

The type of wood is generally characterized by color, pattern and fiber because wood physically has almost the same characteristics. To determine the type of wood, experience and knowledge about wood are needed. This study applies digital image processing technology using the GLCM (gray level co-occurrence matrix) feature extraction method to produce feature extraction values on wood texture. The parameter values generated in the GLCM feature extraction are correlation, contrast, energy and homogeneity. The results from feature extraction are then used as a data classification of types of wood using MLP (multilayer perceptron) method. There are 4 wood types going to be involved in this research as datasets i.e., teak, sengon, mahogany, and mindi. The results of this study, obtained the best level of accuracy in validation data of 88.75%. The output of this research is softmax data using MLP method with an error value in the training neared target of data by 0.029421 with the epoch 1.000 iterations. Keywords : Digital Image Processing, Feature Extraction, GLCM and MLPAbstrakJenis kayu umumnya dicirikan dari warna, corak dan serat karena kayu secara fisik memiliki ciri yang hampir sama. Untuk menentukan jenis kayu, diperlukan pengalaman dan pengetahuan tentang kayu. Penelitian ini menerapkan teknologi pengolahan citra digital menggunakan metode ekstraksi fitur GLCM (gray level co-occourrence matrix) untuk menghasilkan nilai ekstraksi fitur pada tesktur kayu. Parameter nilai dihasilkan pada ekstraksi fitur GLCM adalah correlation, contrast, energy dan homogeneity. Hasil dari parameter GLCM kemudian digunakan sebagai data untuk klasifikasi jenis kayu menggunakan metode MLP (multilayer perceptron). Dalam penelitian ini digunakan 4 jenis kayu sebagai pengujian dan datasheet, yaitu kayu jati, sengon, mahoni dan mindi. Hasil dari penelitian ini, diperoleh tingkat akurasi terbaik pada data validasi sebesar 88,75 %. Keluaran dari penelitian ini berupa data softmax dengan menggunakan metode MLP dengan nilai error pada data training yang mendekati target sebesar 0.029421 dengan epoch 1.000 iterasi. Kata Kunci : Pengolahan Citra Digital, Ekstraksi Fitur, GLCM dan MLP
Harmonics of CF and LED lamps - Maximum Penetration Perspective on Power Quality in Distribution Systems Francis Boafo Effah; Philip Gasu; Philip Okyere; Amevi Acakpovi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 3: November 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1220.441 KB) | DOI: 10.25077/jnte.v9n3.795.2020

Abstract

Global energy saving efforts have led to replacement of incandescent lamps with energy-efficient ones like light-emitting diode (LED) and compact fluorescent lamps (CFLs). These lamps, being non-linear loads, have the potential of injecting harmonics into distribution networks. In this paper, harmonics injection of common CFL and LED lamps at a facility point of common coupling is investigated. To gain insight into large scale penetration effects on power quality, field measurement results of popular lamps used in Ghana were replicated in MATLAB/Simulink through simulation. The field results showed that LED lamps exhibit more harmonics compared to CFL lamps. Maximum possible loading on a 100-kVA, 11kV/0.433kV distribution transformer was found to be 24.02% for CFL, 27.14% for LED, and 40.91% for a mixture of the two lamps, respectively, in order not to violate IEEE 519-2014 standard. The influence of other common loads such as ceiling fans on the lamps’ harmonics were assessed in the field measurement. The use of ceiling fans with the lamps in the facility reduced the harmonics and improved the power factor of the facility. Since the lamps exist in residential and commercial facilities with other loads, more penetration of energy-saving lamps in the distribution system will have little influence on power quality.Keywords: Compact fluorescent lamps, light emitting diodes, maximum power loading, total harmonic distortion, point of common coupling
Pengembangan Electronic Load Controller untuk Self-Excited Induction Generator Berbasis Penyearah Tiga Fase Menggunakan Raspberry Pi Ihsan Nur Hakim; Aan Listanto Amdrian; Adlan Bagus Pradana; Awang Noor Indra Wardana
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 3: November 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1862.104 KB) | DOI: 10.25077/jnte.v9n3.802.2020

Abstract

A self-excited induction generator (SEIG) could provide electricity for isolated areas appropriately. An electronic load controller (ELC) with Raspberry Pi is designed to overcome the voltage and frequency changing of SEIG caused by load changing, while ab le to support distributed system trend with Framework for Distributed Industrial Automation and Control (4DIAC). The ELC design is based on the characteristics of SEIG and Indonesian electricity system standards. The design is then implemented, and the characteristics are identified. The output of SEIG is regulated at frequency of 50 Hz and terminal voltage of 294 V. A voltage sensor is designed with a transformer, filters, rectifier, and ADC. The actuator consisted of a three-phase rectifier, dump load, optocoupler driver, and IGBT. A PI-controller based on Python is applied in Raspberry Pi Zero with experimentally tuned Kp and Ki values both of 5.0. The output changing of SEIG caused by load changing could be regulated within the Indonesian electricity frequency standard in its steady state. The maximum voltage deviation from the nominal value is -12.24%, while the maximum frequency deviation is +3.2%, and the longest settling time is 832 ms.Keywords : induction generator, electronic load controller and Raspberry Pi.
Analisis Unjuk Kerja FBMC-OQAM Pada Transmisi Citra QR Code Menggunakan Ekualisasi Zero Forcing Brayan Raynaldi; Anggun Fitrian Isnawati; Mas Aly Afandi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 1: March 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.644 KB) | DOI: 10.25077/jnte.v10n1.805.2021

Abstract

Wireless communication applications in the future require high data rate and efficient spectrum services. To be able to provide a high bit rate we can use plural modulation or multicarrier. The use of FBMC OQAM modulation aims to provide increased performance compared to the previous modulation, namely OFDM, this is due to the use of FBMC with its orthogonality properties and the use of OQAM which has a stronger advantage over the dispersion effect and has a high data rate. To get the information signal issued, ZF (Zero Forcing) equalization is used. Simulation results show that FBMC OQAM with ZF can reduce BER from 0.4275 at SNR 0 dB to 0.01231 at SNR 25 dB. Whereas the OQAM without ZF FBMC has a BER value of 0.513 at SNR 0 dB to 0.5212 at SNR 25 dB. This shows that the FBMC OQAM using ZF has a lower BER value than the FBMC OQAM without ZF.  Keywords : FBMC, OQAM, ZF, SNR, BERAbstrakAplikasi komunikasi nirkabel di masa depan menuntut pelayanan data rate yang tinggi dan spektrum yang efisien. Untuk dapat menyediakan laju bit yang tinggi dapat menggunakan modulasi jamak atau multicarrier. Penggunaan modulasi FBMC OQAM bertujuan memberikan peningkatan unjukkerja dibandingkan dengan modulasi sebelumnya yakni OFDM, hal ini karena penggunaan FBMC dengan sifat orthogonalitasnya dan penggunaan OQAM yang memiliki keunggulan lebih kuat terhadap efek dispersi serta memiliki kecepatan data yang tinggi. Untuk mendapatkan sinyal informasi yang dikirimkan, digunakan ekualisasi ZF (Zero Forcing). Hasil simulasi menunjukkan FBMC OQAM dengan ZF dapat menurunkan BER dari nilai 0,4275 pada SNR 0 dB menjadi 0,01231 pada SNR 25 dB. Sedangkan pada FBMC OQAM tanpa ZF memiliki nilai BER 0,513 pada SNR 0 dB menjadi 0,5212 pada SNR 25 dB. Hal ini menunjukkan bahwa FBMC OQAM menggunakan ZF mempunyai nilai BER yang lebih rendah dibandingkan FBMC OQAM tanpa ZF. Kata Kunci : FBMC, OQAM, ZF, SNR, BER 
IoT-Based Logistic Robot for Real-Time Monitoring and Control Patients during COVID-19 Pandemic Isa Hafidz; Dimas Adiputra; Billy Montolalu; Wahyu Andy Prastyabudi; Helmy Widyantara; Mas Aly Afandi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 3: November 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (847.01 KB) | DOI: 10.25077/jnte.v9n3.810.2020

Abstract

Coronavirus disease (COVID-19) is a disease that disrupts the respiratory tract and infects many people. However, until now, there is still no cure. Therefore a robot service is proposed to minimize direct contact between nurses and patients who are equipped with PPE (Personal Protective Equipment). Robot Service is a robot carrying logistics for patients in the Isolation Room. The robot is expected to be able to help medical personnel work and reduce the risk of medical personnel being exposed to the virus while in the Isolation Room. This robot has a feature to rotate and move along the hospital hallway, using either automatic or normal mode. This robot is also equipped with an Omni infrared camera that can see the environmental conditions around the robot so that it can make it easier for operators to run this robot with a Wi-Fi communication system. With this robot, medical workers can deliver the needs of patients without having to meet face to face, so that the risk of being exposed to the virus can be reduced.Keywords: Coronavirus, Hospital, Medical Personnel, Robot AbstrakCoronavirus disease (COVID-19) is a disease that disrupts the respiratory tract and infects many people. However, until now, there is still no cure. Therefore a robot service is proposed to minimize direct contact between nurses and patients who are equipped with PPE (Personal Protective Equipment). Robot Service is a robot carrying logistics for patients in the Isolation Room. The robot is expected to be able to help medical personnel work and reduce the risk of medical personnel being exposed to the virus while in the Isolation Room. This robot has a feature to rotate and move along the hospital hallway, using either automatic or normal mode. This robot is also equipped with an Omni infrared camera that can see the environmental conditions around the robot so that it can make it easier for operators to run this robot with a Wi-Fi communication system. With this robot, medical workers can deliver the needs of patients without having to meet face to face, so that the risk of being exposed to the virus can be reduced.Kata Kunci: Coronavirus, Hospital, Medical Personnel, Robot
Electrocardiogram Abnormal Classification Based on Abnormality Signal Feature Sevia Indah Purnama; Mas Aly Afandi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.315 KB) | DOI: 10.25077/jnte.v10n3.829.2021

Abstract

Heart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature.  Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P – R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size.