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Elektron Jurnal Ilmiah
Published by Politeknik Negeri Padang
ISSN : 20856989     EISSN : 26544733     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Elektron Jurnal Ilmiah (EJI) is a peer-reviewed journal which is published by Department of Electrical Engineering, Politeknik Negeri Padang. The ISSN number is 2085-6989. EJI published the first edition in 2009 and since 2014, EJI publishes in Juni and December. The scopes of the journal are: electrical power, telecommunication, control, electronic and robotics.
Arjuna Subject : -
Articles 165 Documents
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Penerapan Metode Yolov5 dan Teknologi Text-To-Speech dalam Aplikasi Pengenalan Abjad dan Objek Sekitar untuk Anak Usia Dini Putri, Atika Rahmi; Dewi, Ratna; Ramiati, Ramiati
Elektron : Jurnal Ilmiah Volume 15 Nomor 2 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.423

Abstract

Technological developments have provided significant benefits for various levels of society, including young children. There are several internal and external factors that can hinder children from remembering the alphabet and objects around them. To overcome these challenges, an innovative and interesting approach is needed to increase children's interest and involvement in learning to recognize alphabets and objects. Research has been carried out to develop an interactive learning media aimed at early childhood using an artificial intelligence approach. The You Only Look Once (YOLO) algorithm will be used to detect letters and surrounding objects in real-time, while Text-to-Speech (TTS) technology is used to convert text into sound. The dataset consists of 2511 images with 36 classes, including alphabets, fruits, animals, and stationery. In this research, the YOLOv5s method obtained a significant level of accuracy, reaching 85% so it could work well in detecting objects.
Analisa dan Optimasi Pengaruh Physical Tunning Terhadap Handover Failure Pada Jaringan 4G LTE Di Kecamatan Kuranji Aulia, Siska; Angela, Tri Utari; Maria, Popy; Dewi, Ratna; Ramiati, Ramiati
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.439

Abstract

Data collection has been carried out using the drivetest method to determine the quality and problems of the 4G LTE network in Kuranji District, Padang City. The aim of the research is to determine the existence of handover failure and optimize handover failure on the 4G LTE network using the physical tuning method in Kuranji District. The research method is physical tuning for network optimization planning using Atoll software. The research results obtained 2 points of handover failure; at point 1 handover failure latitude -0.9133879 and longitude 100.4189513 served by site Kuranji 3 cell id 326 sec 3 optimization of antenna tilting from 2º to 6.5º, site Kuranji cell id 55 sec 2 optimization of re-azimuth from 140º to 100º , antenna tilting from 2º to 3.5º, antenna height from 23m to 31m. At point 2 handover failure latitude -0.8906544 and longitude 100.4185787, the site serving the Belimbing cell ID 131 sector 3 overshoot occurs, the antenna is tilted from 2º to 8º and the site serving the handover failure area occurs, the Belimbing site cell ID 130 sec 2 tilts the antenna. from 2º to 8. Optimization of physical tuning is able to cover handover failure areas and increase the total performance quality value of RSRP signal strength coverage from 33.46% to 33.74%, SINR from 81.7% to 81.57%, and Throughput optimization results remain the same at 100%.
Deteksi Jamur Beracun dan Tidak Beracun Menggunakan CNN dan YOLO Fajria, Nurul; Lifwarda, Lifwarda; Ramiati, Ramiati; Yulindon, Yulindon
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.453

Abstract

In Indonesia, which has a tropical climate there is a lot of wood which is very suitable for mushroom growth. However, some of these mushrooms are poisonous and should be avoided. By examining the morphological characteristics of the mushroom, such as the shape of the mushroom cap, color, smell, and other characteristics it is possible to identify between poisonous and non-poisonous mushrooms. However, some poisonous mushrooms have the same morphological characteristics as non-poisonous mushrooms, making it difficult for us to differentiate them when seen with the naked eye. As a solution to this problem, machine learning is needed to identify which mushrooms are poisonous and which are not. As in this research, Convolutional Neural Network (CNN) and You Only Look Once (YOLO) were used as methods for identification. The stages in this research include collecting datasets, modeling and training data, and the final process, namely deployment. CNN Method got an accuracy value of 55% and succeeded in identifying 5 correct and 5 incorrect images from the 10 images given. Meanwhile, using YOLOv5, we got a high accuracy value of 91% and succeeded in identifying 9 correct and 1 incorrect image out of the 10 images provided. From a comparison of the 2 methods, it was found that detecting poisonous and non-toxic mushrooms was better using the YOLO method than the CNN method
Rancang Bangun Bak Mandi Bayi Otomatis Menggunakan Logika Fuzzy Ardhana, Aliya Mitha; Wijayanto, Ardik; Rosalinda, Hanny Megawati; Gusti, Agrippina Waya Rahmaning
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.455

Abstract

The temperature and the depth of water should be monitored during the process of bathing a baby. The acceptable temperature range for a baby's skin is very narrow, yet caregivers often pour water based on subjective estimation. Moreover, there are frequent cases of drowning during baby-bathing processes. This research aims to develop an automatic baby bathtub to facilitate safety and efficiency, by giving appropriate values of temperature and depth. The method used to control the temperature using fuzzy logic with two inputs: water temperature and depth. Meanwhile, the depth is controlled by a servo motor connected to a valve. Using fuzzy logic, Pulse-Width Modulation (PWM) signals—connected to the water heater, can be controlled so that the water reaches the desired temperature. Simulation implementation results show a similarity value of 99.72%, indicating the device accurately reads the temperature and the depth. Tests in real conditions show that the system functions well, with an average time of 2.99 minutes to increase the temperature by 2°C and 4.8 minutes for the valve to adjust the water depth.
Sistem Pemantauan Kualitas Air Mineral Berbasis Internet of Things Listiani, Rizka; Syifa, Fikra Titan; Kurnianto, Danny
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.459

Abstract

Research has been carried out regarding checking and monitoring water quality based on parameters of turbidity level and dissolved solids in the water. The aim of this research is to rank water quality based on turbidity parameters and dissolved solids in well water, spring water and packaged product water using the simple additive weighting method. The method used is to design a water quality monitoring system using a turbidity sensor and a TDS (total dissolved solid) sensor. Processing data from sensors uses a microcontroller, namely NodeMCU ESP8266. Water quality ranking is carried out using a simple additive weighting method. The results of water quality testing are displayed on the LCD and the Blynk application using Internet of Things technology. The ranking results show that water sourced from springs is of better quality compared to well water. The water quality ranking for packaged products is ranked first, namely product Y, followed by second rank, namely product X, and finally product Z.
Implementasi Fuzzy Query dalam Sistem Pendukung Keputusan untuk Investasi Properti Edelani, Renovita; Kusumaningtyas, Entin Martiana; Prasetyaningrum, Ira; Anggriawan, Bagus
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.467

Abstract

Rapid urbanization and the increasing demand for residential property have created significant challenges in the real estate market. Prospective homebuyers often face difficulties in finding properties that meet their specific criteria in a crowded and competitive market. This research proposes an approach to property investment decision-making based on the Fuzzy Query method, providing a web-based application designed to simplify the property search process. The application allows users to filter properties based on various criteria, such as price, land area, building area, number of bathrooms, number of bedrooms, certificate type, and environmental noise levels. The application features an intuitive user interface that enables users to quickly find properties that match their preferences. This decision support system effectively assists property investors in obtaining investment assessments.
Implementasi Fuzzy Logic Untuk Monitoring Kekuatan Genggaman Tangan Pasien Pasca Stroke Aliya, Azra; Kurniadi, Dedi; Angraini, Tuti
Elektron : Jurnal Ilmiah Vol 16 No 2 (2024)
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.16.2.503

Abstract

Stroke adalah penyakit serebrovaskular yang mengakibatkan kematian jaringan otak karena berkurangnya aliran darah dan oksigen. Kondisi ini dapat menyebabkan hemiparesis, kelemahan pada satu sisi tubuh, yang mempengaruhi mobilitas dan aktivitas sehari-hari pasien. Menurut data dari Riskesdas 2018, prevalensi stroke di Indonesia meningkat signifikan. Alat yang mampu mengukur kekuatan genggaman tangan secara efektif sangat diperlukan dalam pemantauan rehabilitasi pasien pasca stroke. Penelitian ini menggunakan sensor Load cell yang dikalibrasi dengan timbangan digital dan Dynamometer untuk memastikan akurasi pengukuran. Perbandingan ini bertujuan untuk mengevaluasi performa load cell dalam mengukur kekuatan genggaman tangan pasien pasca stroke. Setelah itu, data dianalisis menggunakan metode Fuzzy Mamdani dengan software Matlab dan Arduino. Hasil pengujian menunjukkan bahwa metode Fuzzy Mamdani berhasil dalam mengklasifikasikan risiko hemiparesis dengan akurasi dengan optimal.Hasil pengujian didapatkan bahwa error hasil kalibrasi dengan timbangan digital adalah 3%. Hasil kalibrasi dengan dynamometer mendapatkan error 2,08%.Dan Hasil perbandingan pengujian fuzzy mamdani dengan software Matlab dan Arduino mendapatkan error 0,041% dan akurasi 99,959%.
Penentuan Sudut Orientasi Optimum untuk Pembangkit Listrik Tenaga Surya di Universitas Tanjungpura Pontianak husin, fitriah; Hiendro, Ayong
Elektron : Jurnal Ilmiah Vol 16 No 2 (2024)
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.16.2.515

Abstract

Pengembangan energi surya di Indonesia terus mengalami peningkatan seiring dengan upaya pemerintah dalam mencapai target nol emisi karbon pada tahun 2060. Salah satu langkah strategis dalam mendukung pencapaian tersebut adalah dengan meningkatkan efisiensi Pembangkit Listrik Tenaga Surya (PLTS). Penelitian ini berfokus pada optimalisasi produksi energi listrik di PLTS Universitas Tanjungpura melalui penentuan sudut orientasi panel surya yang paling efektif. Simulasi dilakukan menggunakan perangkat lunak PVsyst dengan variasi sudut kemiringan antara 4° hingga 15° serta delapan arah azimuth, yaitu Utara (0°), Timur Laut (-45°), Timur (-90°), Tenggara (-135°), Selatan (180°), Barat Daya (135°), Barat (90°), dan Barat Laut (45°). Hasil simulasi menunjukkan bahwa konfigurasi optimal terdapat pada sudut kemiringan 5° dengan azimuth -45° (menghadap Timur Laut), yang mampu menghasilkan produksi energi listrik tahunan sebesar 2365 MWh. Angka ini lebih tinggi dibandingkan konfigurasi awal pada sudut kemiringan 13° dan azimuth 135° (menghadap Barat Daya), yang hanya mampu menghasilkan 2308 MWh per tahun. Peningkatan produksi energi listrik sebesar 2,5% ini membuktikan bahwa optimasi sudut orientasi panel surya berperan penting dalam memaksimalkan kinerja sistem PLTS. Hasil penelitian ini tidak hanya memberikan kontribusi pada pengembangan energi terbarukan, tetapi juga mendukung strategi nasional dalam upaya penurunan emisi karbon dan transisi menuju energi bersih di Indonesia.
Segmentasi Area Perkebunan Sawit Melalui Aerial Images Menggunakan Deep Learning Novi, Novi; Hendrick, Hendrick; Rohfadli, Muhammad; Novira, Aulia
Elektron : Jurnal Ilmiah Vol 16 No 2 (2024)
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.16.2.544

Abstract

Pemantauan lahan sawit secara konvensional biasanya dilakukan dengan cara manual oleh petani yang mengerahkan beberapa orang untuk menyebar di area lahan. Namun, pendekatan ini membutuhkan waktu dan tenaga yang cukup besar, serta rentan terhadap ketidakakuratan dalam pemantauan. Sebagai alternatif, perusahaan besar yang mengelola lahan sawit umumnya menggunakan teknologi drone untuk memantau lahan, diikuti dengan penggunaan perangkat lunak analisis yang kompleks. Namun, pemanfaatan teknologi ini seringkali memerlukan biaya dan peralatan yang mahal. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan lahan sawit menggunakan teknologi yang lebih terjangkau dan praktis, yaitu dengan memanfaatkan drone yang tersedia di pasaran serta NVIDIA Jetson Nano sebagai perangkat pemrosesan gambar portabel. Sistem ini menggunakan metode deep learning, dengan mengimplementasikan algoritma You Only Look Once (YOLO) untuk deteksi objek dan Instance Segmentation untuk segmentasi area lahan sawit. YOLO memungkinkan pendeteksian objek secara real-time dengan akurasi tinggi, sementara Instance Segmentation memfasilitasi pemisahan area sawit secara lebih detail, yang akan membantu dalam analisis lebih mendalam. Dengan menggunakan peralatan yang lebih terjangkau dan portabel, penelitian ini bertujuan untuk mempermudah petani atau pihak terkait dalam memantau dan menganalisis kondisi lahan sawit secara efektif, efisien, dan dengan biaya yang lebih rendah dibandingkan dengan teknologi pemantauan konvensional atau yang digunakan perusahaan besar.
Sistem Automatic Main Failure Pada Genset Berbasis Outseal PLC Munir, Kartika; Rohan, Rohan; Misriana, Misriana; Asran, Asran; Yana, Dewi
Elektron : Jurnal Ilmiah Vol 17 No 1 (2025): Volume 17 Nomor 1 Tahun 2025
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.17.1.573

Abstract

Electrical energy is an important part of supporting life. PLN, as the main source of electricity supply, does not guarantee that it will always be reliable, so alternative resources are needed to support these electricity needs; the resources required to replace PLN's main resource are generators. The automatic main failure is equipment with an automatic control system to overcome main channel disturbances of the electric energy supply system and generator heating system. To extend the genset life in the input section, a push button is a conventional control on the automatic main failure circuit, which includes starting the generator, the generator off, and resetting. In the process section, the Outseal PLC Mega V1 functions as a data or command processor from input to output. From the test, it can be concluded that the time needed to activate the generator when the PLN goes out is ± 15 seconds if the generator can be activated by starting once. The fuel indication system also works according to its function. From the results of the generator heating system scheduled for automatic main failure, the time that has been programmed is 1 time in 7 days for ± 45 minutes

Page 16 of 17 | Total Record : 165

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