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Ratna Ika Putri
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INDONESIA
Journal of Applied Smart Electrical Network and System (JASENS)
Published by Indonesian Society of Applied Science
ISSN : -     EISSN : 27235467     DOI : https://doi.org/10.52158/jasens
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of applied smart electrical network and system (JASENS) aims to provide a forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and practitioners to contribute and disseminate innovative new work on electrical engineering related smart electrical network and system. Scope The topical issues considered by the journal covers, but not limited to, the following topics: Application of smart grid Energy management systems (with application to building and home automation) Power system Power electronics Control engineering Industrial automation The Internet of Thing for smart electrical network system Artificial intelligent for electrical system Intelligent monitoring and outage management Smart sensors and advanced metering infrastructure Embedded systems Micro-grids Digital Protection Relay Renewable energy Energy storage and distributed energy resources
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 3 Documents
 1 
Search results for , issue "Vol 5 No 2 (2024): Vol 5 No 2 (2024): Vol 5 No 2" : 3 Documents clear
Deteksi Ikan Menggunakan MEtode Faster R-CNN Oktarina, Yurni; Yolanda Eka Pratiwi; Dewi, Tresna Dewi
Journal of Applied Smart Electrical Network and Systems Vol 5 No 2 (2024): Vol 5 No 2 (2024): Vol 5 No 2
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i2.1132

Abstract

Automatic fish detection in video is a challenging task in the field of computer vision, which can be addressed using deep learning methods. This study proposes the use of the Faster Region-based Convolutional Neural Network (Faster R-CNN) to detect two types of fish, namely Manfish and Lemonfish, in video data. The dataset was constructed by extracting frames from video and processing them using the Roboflow platform. The model was trained and tested using pre-split training and testing sets. The training process was conducted over 40 epochs using the Adam optimization algorithm to improve detection accuracy. Model evaluation was carried out using several metrics, including Precision, Recall, mean Average Precision (mAP), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²). The results show that the model achieved a precision of 94% and an accuracy of 87% for the Lemonfish class, and a precision of 95% and an accuracy of 89% for the Manfish class. These findings indicate that the model is capable of accurately detecting fish, delivering high detection performance, and effectively recognizing objects in video frames.
PULSE Energy: Solusi Portabel Hemat Energi untuk Sistem AC dan DC Hendi Purnata
Journal of Applied Smart Electrical Network and Systems Vol 5 No 2 (2024): Vol 5 No 2 (2024): Vol 5 No 2
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i2.1199

Abstract

Tujuan penelitian ini adalah untuk mengembangkan unit daya hibrida portabel AC-DC yang mampu menyediakan konversi energi untuk beban resistif dan induktif. Desain menggunakan sistem konverter AC-DC hibrida, yang mengintegrasikan baterai yang dapat diisi ulang, inverter DC-AC, dan sistem kontrol pintar berbasis mikrokontroler. Aplikasi Android diterapkan untuk pemantauan dan pengendalian jarak jauh, memungkinkan pengguna untuk mengelola konsumsi daya dan mengisi ulang baterai. Penelitian ini menemukan bahwa unit daya hibrida efektif dalam mendukung beban resistif dan induktif tanpa kerugian energi yang signifikan. Sistem kontrol pintar, yang mencakup relay untuk pemutusan daya otomatis berdasarkan saldo yang tersedia. Fitur pemantauan jarak jauh meningkatkan kenyamanan pengguna dengan memberikan wawasan real-time tentang penggunaan energi dan saldo. Penelitian ini memberikan solusi yang dapat diskalakan untuk kebutuhan energi portabel, dengan implikasi untuk aplikasi rumah tangga maupun komersial. Fitur kontrol pintar juga berkontribusi pada penghematan energi dan otonomi pengguna yang lebih besar. Integrasi output AC dan DC serta kemampuan pengendalian jarak jauh membedakan solusi ini dari unit daya tradisional. Nilai penelitian ini terletak pada aplikasinya yang praktis untuk berbagai perangkat elektronik, menawarkan sumber daya yang andal, efisien, dan fleksibel.
Sistem Monitoring Listrik Tiga Phasa Berbasis Panel LED P10 suwanda, ivan
Journal of Applied Smart Electrical Network and Systems Vol 5 No 2 (2024): Vol 5 No 2 (2024): Vol 5 No 2
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i2.1374

Abstract

Abstract The increasing demand for electricity consumption monitoring in various sectors, including educational environments, requires an accurate, efficient, and real-time monitoring system. This study aims to design and develop a three-phase electricity monitoring system using a P10 LED Matrix panel controlled by an Arduino Mega microcontroller. The system is designed to display voltage, current, and frequency parameters directly through the LED panel, replacing conventional LCD displays with limited size and visibility. The design methodology includes problem identification, data collection through literature study and observation, hardware and software design, assembly, and system testing. The main components consist of three PZEM-004T sensors for electrical data acquisition, an Arduino Mega ATmega2560 as the processing unit, and three P10 LED Matrix panels as the visualization medium. Testing results show that the system can display real-time data with high accuracy. The average voltage measurement error was 0.0013%, and the current measurement error was 0.057%, both well below the 0.5% tolerance specified by the sensor. This system has proven reliable for monitoring three-phase electrical loads at the Politeknik Negeri Ketapang Laboratory Building. In conclusion, the developed system can enhance electricity monitoring efficiency, facilitate electrical condition analysis, and has the potential for further development by integrating Internet of Things (IoT) technology for remote monitoring. Keywords: Electrical monitoring system, three-phase, P10 LED panel, Arduino Mega, PZEM-004T.

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