cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Al Mahdali
Contact Email
almahdali@atim.ac.id
Phone
+6281340032063
Journal Mail Official
redaksijjeee@ung.ac.id
Editorial Address
Electrical Engineering Department Faculty of Engineering State University of Gorontalo Jenderal Sudirman Street No.6, Gorontalo City, Gorontalo Province, Indonesia
Location
Kota gorontalo,
Gorontalo
INDONESIA
Jambura Journal of Electrical and Electronics Engineering
Published by Universitas Negeri Gorontalo
ISSN : 26547813     EISSN : 27150887     DOI : 10.37905/jjeee
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jambura Journal of Electrical and Electronics Engineering (JJEEE) is a peer-reviewed journal published by Electrical Engineering Department Faculty of Engineering, State University of Gorontalo. JJEEE provides open access to the principle that research published in this journal is freely available to the public to support the exchange of knowledge globally. JJEEE published two issue articles per year namely January and July. JJEEE provides a place for academics, researchers, and practitioners to publish scientific articles. Each text sent to the JJEEE editor is reviewed by peer review. Starting from Vol. 1 No. 1 (January 2019), all manuscripts sent to the JJEEE editor are accepted in Bahasa Indonesia or English. The scope of the articles listed in this journal relates to various topics, including: Control System, Optimization, Information System, Decision Support System, Computer Science, Artificial Intelligence, Power System, High Voltage, Informatics Engineering, Electronics, Renewable Energy. This journal is available in online and highly respects the ethics of publication and avoids all types of plagiarism.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 21 Documents
 1   2   3 
Search results for , issue "Vol 7, No 2 (2025): Juli - Desember 2025" : 21 Documents clear
Analysis of Damage (Speed Drop) in Electric Vehicles Using Matlab Simulation Mariani, Dina; Saptadi, Arief Hendra; Sumarno, Radiktyo Nindyo
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.29984

Abstract

Electric bicycles have become a popular mode of transportation among modern society. Many people are starting to use electric bicycles, especially for needs around the home environment. However, like other vehicles, electric bicycles can also experience damage that can affect their performance. One of them is the problem of speed drops on electric bicycles, where the bicycle suddenly slows down even though the battery is not empty. This research on electric bicycles aims to analyze and overcome problems that often occur on electric bicycles, especially speed drops. The research method used is a case study by conducting tests and analysis on electric bicycles that experience speed drops and simulating them with matlab. The results of the study showed that the main cause of speed drops on electric bicycles was damage to the battery and charging system, causing an imbalance in the voltage of the four batteries. One of the batteries has a voltage of 12.71V so that the State of Charge (SoC) value of the damaged battery will be a benchmark for the other three batteries. The results of this study are expected to provide useful information for electric bicycle users to improve the quality of electric bicycle use.Sepeda listrik telah menjadi moda transportasi yang popular di kalangan masyarakat modern. Masyarakat mulai banyak yang menggunakan sepeda listrik terutama untuk keperluan di sekitar lingkungan rumah. Namun, seperti halnya kendaraan lainnya, sepeda listrik juga bisa mengalami kerusakan yang dapat mempengaruhi performanya. Salah satunya adalah masalah drop kecepatan pada sepeda listrik, dimana sepeda tiba-tiba mengalami perlambatan padahal kondisi baterai belum kosong. Penelitian tentang sepeda listrik ini bertujuan untuk menganalisa dan mengatasi masalah-masalah yang sering terjadi pada sepeda listrik terutama masalah drop kecepatan. Metode penelitian yang digunakan adalah studi kasus dengan melakukan pengujian dan analisis pada sepeda listrik yang mengalami drop kecepatan dan mensimulasikannya dengan matlab. Hasil penelitian menunjukkan bahwa penyebab utama terjadinya drop kecepatan pada sepeda listrk adalah kerusakan pada baterai dan sistem pengisian daya sehingga menyebabkan adanya ketidakseimbangan tegangan dari keempat baterai. Salah satu baterai memiliki tegangan 12.71V sehingga nilai State of Charge (SoC) dari baterai rusak tersebut akan menjadi patokan bagi ketiga baterai yang lain. Hasil penelitian ini diharapkan dapat memberikan informasi yang bermanfaat bagi pengguna sepeda listrik untuk meningkatkan kualitas penggunaan sepeda listrik.
The Impact of Using Dual Axis Solar Trackers on Photovoltaic Efficiency Sinaga, Denny Haryanto; Tambunan, Handrea Bernando; Sinuraya, Arwadi; Hutajulu, Olnes Yosefa; Sembiring, Muhammad Aulia Rahman; Afrian, T
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.28793

Abstract

The utilization of solar energy through photovoltaic (PV) systems continues to face efficiency challenges due to variations in light intensity and the sun’s changing position throughout the day. Static PV panels perform optimally only when positioned perpendicular to incoming sunlight, necessitating an adaptive tracking mechanism. This study designs and evaluates a low-cost dual-axis active solar tracking system employing light-dependent resistors (LDRs) and an Arduino Uno microcontroller to automatically adjust the panel’s orientation in response to solar movement. A five-day performance test was conducted comparing the dual-axis tracker with a fixed-panel system, measuring output power, voltage, current, and overall efficiency. Results show an average power increase of 7.41 W and an efficiency gain of 1.63% with the tracking system. A peak efficiency of 13.49% was recorded under low irradiance conditions, indicating the system’s ability to maintain optimal performance despite fluctuating light. These findings suggest that dual-axis tracking offers a practical and effective solution for enhancing PV efficiency, especially in regions with significant daily variations in solar intensity.Pemanfaatan energi surya melalui sistem fotovoltaik (PV) masih menghadapi tantangan efisiensi akibat variabilitas intensitas cahaya dan posisi matahari sepanjang hari. Panel PV statis hanya menghasilkan daya maksimum saat tegak lurus terhadap arah sinar matahari, sehingga diperlukan sistem pelacakan yang adaptif. Penelitian ini merancang dan menguji sistem pelacak surya aktif dua sumbu berbiaya rendah dengan menggunakan sensor light-dependent resistor (LDR) dan mikrokontroler Arduino Uno, yang secara otomatis mengatur orientasi panel mengikuti pergerakan matahari. Pengujian dilakukan selama lima hari untuk membandingkan kinerja sistem pelacak dengan panel statis, menggunakan parameter daya keluaran, tegangan, arus, dan efisiensi. Hasil menunjukkan peningkatan daya rata-rata sebesar 7,41 W dan efisiensi sebesar 1,63% pada sistem pelacak. Efisiensi tertinggi sebesar 13,49% dicapai pada kondisi iradiasi rendah, mengindikasikan kemampuan sistem dalam menjaga performa optimal di bawah pencahayaan yang tidak stabil. Temuan ini menunjukkan bahwa pelacak dua sumbu merupakan solusi praktis dan efektif dalam meningkatkan efisiensi sistem PV, terutama di wilayah dengan fluktuasi harian intensitas surya yang signifikan.
Design of an Aquarium Water Change System Based on Waterflow Sensor in PIAMARI Seawater Aquarium Baswantara, Arif; Wibowo, Yuni Ari; Setiawan, Agus; Mujib, Muhammad
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.26170

Abstract

Water exchange process is the one of the measures to maintain water quality in an aquarium. In addition to physical, chemical and biological treatment, regular water changes are a mechanism that must be carried out. The purpose of this research is to develop an automatic water exchange system, with the studies being carried out at Pangandaran Integrated Aquarium and Marine Research Institute (PIAMARI) seawater aquarium. This automatic water change system was constructed using an instrument based on water flow sensor and an ultrasonic sensor. The water flow sensor in the instrument functions as a water discharge reader which will controls the pump, either the drain pump or the filling pump. The ultrasonic sensor in the instrument then functions as a water level reader in the supply tank. Tests were carried out using the simulation method, where the aquarium water change system was run on a glass container resembling an existing seawater aquarium. The test results showed that the system worked well. The RMSE calculation gives values of 0.148 and 0.176 for the drain pump and values of 0.1 and 0.083 for the filling pump.  These results show good performance of the sensors and pumps in the instrument, although there are shortcomings in the accuracy of the sensors. The evaluation found will be the next development of this system for larger scale utilization.Proses pergantian air merupakan salah satu upaya dalam menjaga kualitas air dalam suatu akuarium. Selain perlakuan fisik, kimia dan biologi, proses pergantian air yang rutin merupakan suatu mekanisme yang wajib untuk dilakukan, terutama pada aquarium air laut besar. Penelitian ini bertujuan untuk merancang suatu sistem pergantian air secara otomatis, dengan studi dilakukan pada akuarium air laut Pangandaran Integrated Aquarium and Marine Research Institute (PIAMARI). Sistem pergantian air otomatis ini dibangun menggunakan instrumen yang berbasis waterflow sensor dan ultrasonic sensor. Waterflow sensor pada instrumen berfungsi sebagai pembaca debit air yang selanjutnya akan mengontrol pompa, baik pada pompa kuras ataupun pompa isi. Ultrasonic sensor pada instrumen selanjutnya berfungsi sebagai pembaca muka air pada tangki suplay. Pengujian dilakukan dengan metode simulasi, dimana sistem pergantian air akuarium ini dijalankan pada wadah kaca menyerupai akuarium air laut yang ada. Hasil uji yang dilakukan menunjukkan bahwa sistem berhasil berjalan dengan baik. Perhitungan RMSE menunjukkan nilai 0,148 dan 0,176 pada pompa kuras serta nilai 0,1 dan 0,083 pada pompa isi. Hasil tersebut menunjukkan performa yang baik pada sensor dan pompa yang ada pada instrumen, meskipun terdapat kekurangan pada tingkat ketelitian sensor. Evaluasi yang ditemukan akan menjadi perkembangan selanjutnya dari sistem ini untuk pemanfaatan diskala yang lebih besar.
Implementation of DC Motor Driver in Autoclave Reactor in Nickel Laterite Ore Processing Afandy, Moh .; Rianto, Muhammad Ikbal; Mubarak, Abdul Haris
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.31759

Abstract

This study aims to design and test a DC motor speed monitoring system in the process of stirring acid solution and Nickel Laterite ore in an Autoclave reactor tube. The control system uses a PWM (Pulse Width Modulation) signal with a constant duty cycle of 100% which is given to the MOSFET-based H-Bridge topology DC motor driver circuit. The determination of the duty cycle is based on the RPM rotation of the stirrer in the reactor tank with a multilevel test from 10% - 100%. Testing was carried out in two processing conditions, each with an acid concentration of 4% and 5%, to evaluate system performance against variations in viscosity load. The results of the study showed that the system was able to maintain the stability of the motor rotation speed in the nickel processing range with a leach solution content of 4% and 5% with an average speed of 193 RPM, even though there was an increase in load due to the concentration of the solution. The performance of the driver circuit proved effective in distributing power continuously without symptoms of overheating or switching interference, and was able to protect the system from the effects of reverse voltage. The mixing process showed homogeneous results with adequate stirring efficiency in both solution conditions. The final result in the form of filtrate liquid and residual residue is obtained from the process evaluation. The monitoring system and DC motor driver designed have shown reliable performance in laboratory-scale reactor stirring applications with a local monitor system, and have the potential to be further developed into an adaptive control system based on feedback sensors for energy efficiency and a remote monitoring and control system.Penelitian ini bertujuan untuk merancang serta menguji sistem monitoring kecepatan motor DC pada proses pengadukan larutan asam dan Nikel Laterite ore dalam tabung reaktor Autoclave. Sistem kontrol menggunakan sinyal PWM (Pulse Width Modulation) dengan dutycycle konstan sebesar 100% yang diberikan pada rangkaian driver motor DC  topologi H-Bridge berbasis MOSFET. Penentuan dutycycle didasarkan pada putaran RPM pengaduk pada tangka reactor dengan pengujian bertingkat dari 10 % - 100%. Pengujian dilakukan dalam dua kondisi proses pengolahan, masing-masing dengan konsentrasi asam 4% dan 5%, untuk mengevaluasi performa sistem terhadap variasi beban viskositas. Dari hasil penelitian menunjukkan bahwa sistem mampu mempertahankan kestabilan kecepatan putar motor dalam rentang pemprosesan nikel dengan kadar larutan pelindi 4% dan 5% dengan kecepatan rata-rata 193 RPM, meskipun terdapat peningkatan beban akibat konsentrasi larutan. Kinerja rangkaian driver terbukti efektif dalam mendistribusikan daya secara kontinu tanpa gejala overheat atau gangguan switching, serta mampu melindungi sistem dari efek tegangan balik. Proses pencampuran menunjukkan hasil homogen dengan efisiensi pengadukan yang memadai pada kedua kondisi larutan. Hasil akhir berupa cairan filtrate dan sisa residu diperoleh dari valuasi proses. Sistem monitoring dan driver motor DC yang dirancang telah menunjukkan performa andal dalam aplikasi pengadukan reaktor skala laboratorium dengan system local monitor, serta berpotensi dikembangkan lebih lanjut menuju sistem kontrol adaptif berbasis sensor umpan balik untuk efisiensi energi dan system monitoring dan control jarak jauh.
Development of an IoT-Based Tidal Gauge With Ultrasonic Sensors Alajuri, M Hasbi Sidqi; Kusuma, Hollanda Arief; Bavitra, Bavitra; Harahap, Basyaruddin Ismail
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.29143

Abstract

Tides are the periodic rise and fall of sea levels caused by the gravitational effects of the moon and the sun. This tidal phenomenon can be measured manually or automatically using instruments. The objective of this study is to design and develop a tide gauge instrument using the JSN-SR04T sensor based on the Internet of Things (IoT). The research method includes hardware design, electrical design, firmware development, and dashboard creation. Once the system design is completed, the components are assembled. Functional and laboratory tests are conducted to ensure that each component operates properly, followed by field testing. The tide gauge instrument is capable of operating for 7 days with good accuracy in the measurement range of 25 cm to 200 cm (with an error between 0.02 and 0.16 cm). Field observations indicate that the type of tide corresponds to previous studies, which is a mixed tide. The DS18B20 sensor produced temperature readings that matched those of a standard thermometer.Pasang surut merupakan gerak naik turun muka air laut secara periodik yang disebabkan oleh efek gravitasi bulan dan matahari. Fenomena pasang surut ini bisa diukur secara manual dan otomatis menggunakan instrumen. Tujuan penelitian ini yaitu membuat rancang bangun instrumen pengukur pasang surut dengan sensor JSN-SR04T berbasis IoT. Metode penelitian dimulai dari perancangan hardware, perancangan electrical, perancangan firmware, dan perancangan dashboard. Setelah perancangan sistem selesai maka dilakukan perakitan komponen. Uji fungsionalitas dan uji laboratorium dilakukan untuk memastikan setiap komponen berfungsi dengan baik. selanjutnya, diakukan uji lapangan. Instrumen pasang surut ini dapat bekerja selama 7 hari dengan akurasi yang baik pada rentang pengukuran 25 cm hingga 200 cm (Error 0.02 hingga 0.16). Berdasarkan hasil pengamatan di lapangan menunjukkan bahwa jenis pasang surut sesuai dengan peneliti sebelumnya yaitu campuran. Hasil pengukuran sensor DS18B20 memiliki nilai suhu yang sama dengan pengukuran termometer.   
Performance Evaluation of Food Calorie Counter Mobile Application Based on CNN-YOLO Algorithms Hamzidah, Nurul Khaerani; Ulandari, Ayu; Parenreng, Mardawia Mabe; Ichzan As, Nur
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.30595

Abstract

This article discusses the performance results of a mobile application for calculating food calories. This application can help users in managing and knowing their daily calorie intake and a healthy diet program. This application is based on image processing techniques using a combination of CNN-YOLOv5. The role of CNN is to classify data and extract labeled food image features using the supervised learning method based on images that have gone through the training process stages while YOLO plays a role in detecting food image data quickly and accurately. The design stages consist of UI design, UI creation, program implementation, and testing and evaluation. In analyzing the model, 1,736 training data, 149 test data and 206 validation data were used with 150 epochs of computation. The results of the model analysis obtained a precision of 1.00, confidence 0.962, recall 0.99 and F1 score 0.97. These results indicate that the system has met the requirements for use in further detection processes. This is evidenced by the application's ability to detect food images with 100% accuracy for all food classes in real-time or through image uploads. The test results show that the confidence value is influenced by the distance of the detector to the object, lighting intensity, camera resolution, color similarity, food variety and the background motif of the container used. The application is equipped with attractive features and UI displays such as an informative BMI calculator especially for users who are on a healthy diet program. The application of the CNN-YOLOv5 algorithm combination has been proven to be able to consistently and accurately improve application performance in detecting types of food and their calorie content in 100 grams so that it is worthy of being used as a reference in helping to monitor daily calorie intake and help a healthy diet program.Artikel ini membahas hasil kinerja aplikasi mobile penghtiung kalori makanan. Aplikasi ini dapat membantu pengguna dalam mengatur dan mengetahui asupan kalori harian serta program diet sehat. Aplikasi ini berbasis teknik pengolahan citra menggunakan kombinasi CNN-YOLOv5. Adapun peran CNN adalah untuk mengklasifikasi data serta mengekstraksi fitur citra makanan yang telah terlabel dengan menggunakan metode supervised learning berdasarkan citra yang telah melalui tahapan proses training sedangkan YOLO berperan dalam mendeteksi data citra makanan dengan cepat dan tepat. Tahapan perancangannya terdiri dari perancangan desaian UI, pembuatan UI, implementasi program, dan pengujian serta evaluasinya. Dalam menganalisis model digunakan 1.736 data latih, 149 data uji dan 206 data validasi dengan komputasi 150 epoch. Hasil analisis model diperoleh presisi 1.00, confidence 0.962, recall 0.99 serta F1 score 0.97. Hasil ini menunjukkan bahwa sistem sudah memenuhi syarat untuk digunakan dalam proses deteksi lebih lanjut. Hal ini dibuktikan dengan kemampuan aplikasi dalam mendeteksi citra makanan dengan akurasi 100% untuk semua kelas makanan secara real-time ataupun melalui upload citra. Hasil pengujian menunjukkan bahwa nilai confidence dipengaruhi oleh faktor jarak detektor ke objek, intensitas pencahayaan, resolusi kamera, kemiripan warna, variasi makanan serta adanya motif background wadah yang digunakan. Aplikasi dilengkapi dengan fitur dan tampilan UI yang menarik seperti kalkulator BMI yang informatif khususnya bagi pengguna yang sedang dalam program diet sehat. Penerapan kombinasi algoritma CNN-YOLOv5 terbukti mampu meningkatkan kinerja aplikasi secara konsisten dan akurat dalam mendeteksi jenis makanan beserta kandungan kolari dalam 100 gramnya sehingga layak dijadikan sebagai rujukan dalam membantu monitoring asupan kalori harian dan membantu program diet sehat.  
Sentiment Analysis of Local Sunscreen Skintific, Somethinc, and Avoskin with Naive Bayes and SVM Clarisha, Windi; Fani, A. Astri Merilsa; Surianto, Dewi Fatmarani; Fadilah, Nur
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.30257

Abstract

Indonesia’s beauty industry, particularly local sunscreen products, has experienced rapid growth alongside increasing public awareness of the importance of skin protection against ultraviolet rays. Consumer reviews on digital platforms have become a vital source of information to understand user perceptions and preferences. This study aims to analyze sentiment toward three local sunscreen brands—Skintific, Somethinc, and Avoskin—by comparing two text classification methods: Naïve Bayes and Support Vector Machine (SVM). To address the imbalance in the number of positive and negative sentiment data, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. The results show that applying SMOTE to Naïve Bayes significantly improved the accuracy from 81% to 93%, along with notable enhancements in precision, recall, and F1-score. Conversely, applying SMOTE to SVM slightly reduced accuracy from 92% to 91%, although the performance for positive sentiment remained stable. These findings indicate that the combination of Naïve Bayes and SMOTE is more effective in handling imbalanced data for sentiment analysis of beauty products. The implications of this study can serve as a basis for decision-making in product development and marketing strategies within the beauty industry, particularly in aligning with consumer sentiment.Industri kecantikan Indonesia, khususnya produk sunscreen lokal, menunjukkan pertumbuhan pesat seiring meningkatnya kesadaran masyarakat akan pentingnya perlindungan kulit dari sinar ultraviolet. Ulasan konsumen di platform digital menjadi sumber informasi penting untuk memahami persepsi dan preferensi pengguna. Penelitian ini bertujuan untuk menganalisis sentimen terhadap tiga merek sunscreen lokal—Skintific, Somethinc, dan Avoskin—dengan membandingkan dua metode klasifikasi teks, yaitu Naïve Bayes dan Support Vector Machine (SVM). Untuk mengatasi ketidakseimbangan jumlah data antara sentimen positif dan negatif, digunakan teknik Synthetic Minority Over-sampling Technique (SMOTE). Hasil menunjukkan bahwa penerapan SMOTE pada Naïve Bayes meningkatkan akurasi dari 81% menjadi 93%, serta memperbaiki precision, recall, dan F1-score secara signifikan. Sebaliknya, penerapan SMOTE pada SVM justru sedikit menurunkan akurasi dari 92% menjadi 91%, meskipun performa untuk kategori sentimen positif tetap stabil. Temuan ini menunjukkan bahwa kombinasi Naïve Bayes dengan SMOTE lebih efektif dalam menangani data tidak seimbang untuk analisis sentimen produk kecantikan. Implikasi dari penelitian ini dapat digunakan oleh pelaku industri kecantikan sebagai dasar pengambilan keputusan dalam pengembangan dan pemasaran produk berbasis persepsi konsumen.    
Energy Optimization and Protection of 3-Phase Electrical Systems Based on IoT Ratuhaji, Faruq; Mantasia, Mantasia
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.31248

Abstract

Three-phase electrical systems have advantages in efficiency and power stability but are susceptible to voltage disturbances such as overvoltage and undervoltage. Overvoltage is a condition where the voltage exceeds the upper threshold, while undervoltage occurs when the voltage drops below the minimum limit. Both of these conditions can lead to decreased efficiency, equipment damage, and operational disruptions. Therefore, an adaptive protection system capable of detecting abnormal conditions in real-time is needed. This research develops a three-phase electrical monitoring and protection system based on the Internet of Things (IoT). The system uses a PZEM-004T sensor to read the voltage and current on each phase, with the ESP32 microcontroller as the data processor and protection controller. Information is sent to the web-based user interface via a Wi-Fi network. Users can monitor system conditions online through a monitoring website that displays voltage and current parameters in real-time, as well as fault notifications. The test results indicate that the system accurately measures voltage and current, with average errors of just 0.35% and 0.45%, and it can automatically reduce power load within 5 to 6 seconds when there is a problem, while also sending real-time alerts about any issues through a web-based interface. Thus, this system is suitable for application in household and light industrial installations. Besides improving energy efficiency and the reliability of the electrical system, this system also promotes the utilization of IoT technology in modern electricity. Further research is recommended to develop a system with short-circuit current detection, harmonic analysis, and integration into a smart grid.Sistem kelistrikan tiga fasa memiliki keunggulan dalam efisiensi dan kestabilan daya, namun rentan terhadap gangguan tegangan seperti overvoltage dan undervoltage. Overvoltage adalah kondisi saat tegangan melebihi ambang batas atas, sedangkan undervoltage terjadi saat tegangan turun di bawah batas minimal. Kedua kondisi ini dapat menyebabkan penurunan efisiensi, kerusakan peralatan, dan gangguan operasional. Oleh karena itu, dibutuhkan sistem proteksi yang adaptif dan mampu mendeteksi kondisi abnormal secara real-time. Penelitian ini mengembangkan sistem monitoring dan proteksi kelistrikan tiga fasa berbasis Internet of Things (IoT). Sistem menggunakan sensor PZEM-004T untuk membaca tegangan dan arus pada masing-masing fasa, dengan mikrokontroler ESP32 sebagai pengolah data dan pengendali proteksi. Informasi dikirim ke antarmuka pengguna berbasis web melalui jaringan Wi-Fi. Pengguna dapat memantau kondisi sistem secara daring melalui website monitoring yang menampilkan parameter tegangan, arus secara real time, serta notifikasi gangguan. Hasil pengujian menunjukkan bahwa sistem memiliki akurasi pembacaan tegangan dan arus yang sangat baik dengan masing-masing nilai rata-rata Mean Absolute Percentage Error (MAPE) 0,35% dan 0,45%, dan waktu respon otomatis pemutusan beban ketika terjadi gangguan dalam rentang 5 hingga 6 detik, disertai dengan pengiriman informasi kondisi abnormal secara real-time melalui antarmuka berbasis web. Dengan demikian sistem ini layak diterapkan pada instalasi rumah tangga dan industri ringan. Selain meningkatkan efisiensi energi dan keandalan sistem kelistrikan, sistem ini juga mendorong pemanfaatan teknologi IoT dalam kelistrikan modern. Penelitian selanjutnya direkomendasikan untuk mengembangkan sistem dengan deteksi arus hubung singkat, analisis harmonisa, serta integrasi ke jaringan listrik pintar (smart grid). 
Analysis of 20 kV Distribution Network Reconfiguration PLN ULP Marisa Surusa, Frengki Eka Putra; Andrean, Yogi; Steven Humena, Steven Humena
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.33150

Abstract

This study aims to analyze the effect of 20 kV distribution network reconfiguration on voltage drops and power losses at the Marisa Substation feeder. In the world of electricity, the distribution network is the backbone that connects energy sources to end consumers. Therefore, it is important to ensure that the distribution network functions optimally to minimize energy losses and maintain good power quality. This study took place at the Marisa Substation, which is one of the vital electricity distribution centers in the area. The method used in this study is simulation with ETAP 12.6 software, which is widely known in electric power system analysis. ETAP (Electrical Transient Analyzer Program) is a tool that allows engineers to model and analyze power systems comprehensively. In this simulation, the Newton-Raphson algorithm is applied to solve the system of non-linear equations that arise in electric network analysis. This algorithm is very effective in overcoming convergence problems often encountered in complex distribution network simulations. The simulation results show that after the reconfiguration, active power losses are reduced by 1.3% and reactive power losses are reduced by 1.5%. Active power losses are the energy lost in the form of heat due to resistance in conductors, while reactive power losses relate to fluctuating energy in the system, which does not perform actual work but still contributes to the total power. The reduction in these power losses is significant, because although the percentage may seem small, on a large scale, it can result in substantial operational cost savings for electricity providers. Furthermore, the study also found that network reconfiguration increased the average voltage by 3%. This voltage increase is crucial because a stable and standard voltage will guarantee the quality of electricity supply to consumers. In this context, a stable voltage can prevent damage to sensitive electrical equipment and increase the operational efficiency of equipment used by consumers.Penelitian ini bertujuan untuk menganalisis pengaruh rekonfigurasi jaringan distribusi 20 kV terhadap jatuh tegangan dan rugi daya pada penyulang GI Marisa. Dalam dunia kelistrikan, jaringan distribusi merupakan tulang punggung yang menghubungkan sumber energi dengan konsumen akhir. Oleh karena itu, penting untuk memastikan bahwa jaringan distribusi berfungsi dengan optimal agar dapat meminimalisir kerugian energi serta mempertahankan kualitas daya yang baik. Penelitian ini mengambil lokasi di GI Marisa, yang merupakan salah satu pusat distribusi listrik yang vital di daerah tersebut. Metode yang digunakan dalam penelitian ini adalah simulasi dengan perangkat lunak ETAP 12.6, yang dikenal luas dalam analisis sistem tenaga listrik. ETAP (Electrical Transient Analyzer Program) adalah alat bantu yang memungkinkan insinyur untuk memodelkan dan menganalisis sistem tenaga secara komprehensif. Dalam simulasi ini, algoritma Newton-Raphson diterapkan untuk menyelesaikan sistem persamaan non-linear yang muncul dalam analisis jaringan listrik. Algoritma ini sangat efektif dalam mengatasi masalah konvergensi yang sering dihadapi dalam simulasi jaringan distribusi yang kompleks. Hasil simulasi menunjukkan bahwa setelah dilakukan rekonfigurasi, rugi daya aktif berkurang sebesar 1,3% dan rugi daya reaktif berkurang sebesar 1,5%. Rugi daya aktif adalah energi yang hilang dalam bentuk panas akibat resistansi pada konduktor, sedangkan rugi daya reaktif berkaitan dengan energi yang berfluktuasi dalam sistem, yang tidak melakukan kerja nyata tetapi tetap berkontribusi pada total daya. Penurunan rugi daya ini sangat signifikan, karena meskipun persentasenya terlihat kecil, dalam skala besar, hal ini dapat menghasilkan penghematan biaya operasional yang substansial bagi perusahaan penyedia listrik. Selain itu, penelitian ini juga menemukan bahwa rekonfigurasi jaringan meningkatkan tegangan rata-rata sebesar 3%. Peningkatan tegangan ini sangat penting karena tegangan yang stabil dan sesuai standar akan menjamin kualitas pasokan listrik kepada konsumen. Dalam konteks ini, tegangan yang stabil dapat mencegah kerusakan pada peralatan listrik yang sensitif, serta meningkatkan efisiensi operasional dari peralatan yang digunakan oleh konsumen.
Location and Single-Phase Fault Data Monitoring System Using ESP8266 via Blynk and Telegram Duhi, Sahrul; Tansa, Salmawaty; Dako, Rahmat Deddy R.; Wahab Musa, Wahab Musa; Abdussamad, Syahrir; Tolago, Ade Irawaty
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i2.33474

Abstract

The increasing consumption of electrical energy highlights the need for an efficient power monitoring system. This research develops an Internet of Things (IoT)-based single-phase fault monitoring system capable of detecting power outages and overcurrents, and providing real-time location notifications. The system is designed using a PZEM-004T power sensor for data acquisition, an ESP8266 microcontroller as a processing unit, a Blynk platform for visualization, and a Telegram-integrated NEO6M GPS module for automatic notification. Test results show that the system successfully detects and accurately informs power outages (current 0 A) and overcurrents (exceeding 1 A), sending notifications complete with a Google Maps link to the fault location. This system provides an effective and responsive solution for power outage management, contributing to improved operational and maintenance efficiency link via Telegram. The device testing was successfully conducted using the NEO 6M GPS module to determine the fault location.Peningkatan konsumsi energi listrik menyoroti kebutuhan akan sistem monitoring daya yang efisien. Penelitian ini mengembangkan sebuah sistem pemantauan gangguan satu fasa berbasis Internet of Things (IoT) yang mampu mendeteksi kondisi listrik padam dan arus lebih, serta memberikan notifikasi lokasi real-time. Sistem dirancang menggunakan sensor daya PZEM-004T untuk akuisisi data, mikrokontroler ESP8266 sebagai unit pemroses, platform Blynk untuk visualisasi, dan modul GPS NEO6M terintegrasi Telegram untuk notifikasi otomatis. Hasil pengujian menunjukkan bahwa sistem berhasil mendeteksi dan secara akurat menginformasikan kondisi listrik padam (arus 0 A) dan arus lebih (melebihi 1 A), mengirimkan notifikasi lengkap dengan link Google Maps lokasi gangguan. Sistem ini menyediakan solusi yang efektif dan responsif untuk manajemen gangguan listrik, berkontribusi pada peningkatan efisiensi operasional dan pemeliharaan

Page 2 of 3 | Total Record : 21

 1   2   3 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 7, No 2 (2025): Juli - Desember 2025 Vol 7, No 1 (2025): Januari - Juni 2025 Vol 6, No 2 (2024): Juli - Desember 2024 Vol 6, No 1 (2024): Januari-Juni 2024 Vol 5, No 2 (2023): Juli - Desember 2023 Vol 5, No 1 (2023): Januari - Juni 2023 Vol 4, No 2 (2022): Juli - Desember 2022 Vol 4, No 1 (2022): Januari - Juni 2022 Vol 3, No 2 (2021): Juli - Desember 2021 Vol 3, No 1 (2021): Januari - Juni 2021 Vol 2, No 2 (2020): Juli - Desember 2020 Vol 2, No 1 (2020): Januari - Juni 2020 Vol 1, No 2 (2019): Juli - Desember 2019 Vol 1, No 1 (2019): Januari - Juni 2019 More Issue