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Ratna Ika Putri
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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 62 Documents
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Optimasi Klasterisasi Kubernetes untuk Peningkatan QoS pada Jaringan 5G Adrian, Ronald; Mandasari, R. Deasy
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i2.1129

Abstract

Resource management, scalability, and Quality of Service are key challenges in deploying 5G networks, particularly regarding latency, throughput, and packet loss. Conventional network architectures often fail to meet the demands of high-speed and low-latency communication, especially for applications such as the Internet of Things and cloud computing. This study applies a Kubernetes-based clustering method to address these challenges to optimize 5G network performance through efficient resource allocation and load balancing. Experiments were conducted in a Containerized Network Function environment through simulations, demonstrating significant performance improvements. Test results recorded a 28.69% reduction in latency, a 34.52% increase in throughput, and a 32.14% reduction in packet loss compared to a non-clustered 5G network. These improvements are supported by Kubernetes features such as auto-scaling, traffic distribution, and real-time load balancing. This approach demonstrates that Kubernetes clustering effectively enhances Quality of Service, optimizes resource allocation, and improves the overall efficiency of 5G network systems. Keywords: 5G Networks, Clustering, Kubernetes, QoS, Resource Management
Implementasi Sistem SCADA dan PLC S7-300 untuk Otomatisasi Koreksi Berat Semen Pada Checkweigher Permatasari, Dinda Ayu; Al Fath, Alfian Raid Jiddan; Budi, Edi Sulistio; Wahyu Tri Wahono
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1140

Abstract

Checkweigher merupakan sebuah alat yang digunakan untuk mengoreksi penimbangan semen. Sistem ini dirancang untuk mengatasi masalah penimbangan dari Checkweigher lama yang penimbangannya sering dibawah setpoint, tidak stabil, dan kurang presisi. Pada Checkweigher yang lama mempunyai kelemahan yaitu penimbangannya tidak dapat dipantau secara jarak jauh. Pada Checkweigher yang dirancang ini display dan data penimbangan ditampilkan pada HMI di kontrol lokal dan terhubung ke sistem SCADA untuk pemantauan jarak jauh. Sistem Checkweigher yang dirancang memiliki 5 zona koreksi: Underweight, Tendency(-), normal (setpoint), Tendency(+), dan Overweight, dengan set point 40–40,3 kg. Hasil pengujian menunjukkan Checkweigher bekerja baik, dengan rata-rata error sensor load cell 0,118% dan penimbangan lebih banyak masuk ke zona setpoint. Sistem ini berhasil meminimalisir Underweight, dengan 30,88% penimbangan masuk zona 1 dan 2 (Underweight dan Tendency(-)), serta 69,12% masuk zona 3, 4, dan 5 (normal, Tendency(+), dan Overweight).
Peningkatan Akurasi Kontrol Arah Kapal Menggunakan Sensor Kompas BNO055 Setiyono, Dwi Agus; Afif Zuhri Arfianto; Dimas Pristovani Riananda; Agus Khumaidi; Noorman Rinanto; Zindhu Maulana Ahmad
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1147

Abstract

The accuracy of a ship's heading measurement is an important element in ensuring the ship moves towards its destination precisely and safely. One of the key parameters in this system is the ship's heading, which indicates the direction of the ship relative to a specific reference point, such as magnetic north. However, heading measurements are often affected by environmental disturbances, magnetic interference and sensor calibration errors, which can degrade measurement accuracy. This research proposes the use of the BNO055 sensor, which combines an accelerometer, gyroscope and magnetometer in a single module to measure ship orientation in three dimensions. An STM32 microcontroller is used to process the data from the BNO055 sensor and calculate the ship's heading and relative bearing with high precision. The calculation results are then displayed on the Nextion Display, providing visual information needed by the user. Test results show that the system provides high accuracy, with an average percentage error of 0.002% for heading and 0.208% for angle. The system can steer the ship with high precision, despite magnetic field disturbances. Thus, this BNO055 and STM32-based system is expected to improve efficiency and accuracy in ship direction measurement applications.
Integrasi Sistem ESP32 dengan Pemantauan Cuaca Menggunakan Sensor Meteorologi Prayoga, Yusma'el Khammi; Arfianto, Afif Zuhri; Riananda, Dimas Pristovani; Muhammad Khoirul Hasin; Adianto; Ryan Yudha Adhitya
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1149

Abstract

This study proposes an ESP32-based system integration for real-time weather monitoring using meteorological sensors including wind speed, wind direction, and rainfall sensors. ESP32 is chosen as the main platform because of its capability in wireless communication (Wi-Fi and Bluetooth) and its efficiency in processing sensor data with low power consumption. This system combines meteorological sensors to measure wind speed, wind direction, and rainfall, which are then displayed directly on the Nextion screen. The collected data will be updated in real-time, providing easily accessible information. The purpose of this study is to develop an effective and integrated weather monitoring system. The test results show that this system can collect and display data accurately on Nextion, providing an efficient and practical weather monitoring solution.
Rancang Bangun Sistem Pelacak Posisi Human Indoor Location menggunakan ESP-Now Rachmawan, Ega Adi; Lilik Subiyanto; Adianto; Mat Syaiin; Aulia Rahma Annisa; Mustika Kurnia Mayangsari
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1150

Abstract

This research aims to develop an Internet of Things (IoT)-based employee attendance and position tracking system using the ESP-NOW protocol integrated with a web database. This system is designed to automatically record attendance and monitor the position of employees in real-time using the Trilateration method with the Exponential Path Loss model. Data from the ESP32 device is sent to the MySQL database via the MQTT protocol and displayed in an easily accessible website interface. The results show that the system can efficiently recap daily, weekly, and monthly attendance data, as well as display the position history of employees and guests with sufficient accuracy. With the implementation of this system, the efficiency and accuracy of attendance management and employee monitoring at Sutami Hydroelectric Power Plant has increased significantly.
Sistem Input Output Inventaris Tools Menggunakan Long Range RFID Study Case di PLTA Sutami Fa'iz, Muhammad; Joko Endrasmono; Sholahuddin Muhammad Irsyad; Lilik Subiyanto; Anggar Juna Puncak Pujiputra; Mustika Kurnia Mayangsari
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1152

Abstract

The problem faced by Sutami Hydroelectric Power Plant in the management and data collection of tools is that the data collection is still done manually, and some tools are not returned to their place due to negligence in use. To support the achievement of the 5S culture (Seiri, Seiton, Seiso, Seiketsu, Shitsuke) at Sutami Hydroelectric Power Plant, an automated tools management system is needed. In the application of the goods input and output system, many are still using low frequency RFID with a reading range of >5cm so that tapping must be done with an RFID Reader. This still has the potential for an unrecorded loan process if the item is not tapped. This research optimizes the tools management system with long range RFID. With the designed update, it is expected that the tools management system at Sutami Hydroelectric Power Plant can provide increased productivity and also achieve the 5S culture at Sutami Hydroelectric Power Plant.
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.
the Estimation of State of Charge for 4S2P Lithium-Ion Battery Using Kalman Filter and Coulomb Counting Tiara Erly Syah Putri; Mat Syai’in; Ii Munadhif
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1166

Abstract

State of Charge (SoC) estimation is crucial for the performance and safety of Battery Management Systems (BMS). This study evaluates and compares two SoC estimation methods—Kalman Filter and Coulomb Counting—based on numerical simulation of a 4S2P lithium-ion battery charging process using MATLAB. The methods are assessed using statistical metrics: RMSE, MAE, MAPE, and R², and are compared against both current-based reference calculations and normalized actual voltage. Kalman Filter consistently demonstrates superior performance, achieving lower RMSE (0.00067) and MAE (0.00045) against SoC reference, and RMSE (0.0376), MAE (0.0312), R² (0.978) against voltage reference. In contrast, Coulomb Counting shows increased error accumulation and lower correlation with system behavior. This confirms Kalman Filter's robustness in dynamic conditions, owing to its real-time correction mechanism and noise tolerance. The study highlights Kalman Filter as a more accurate and reliable method for modern BMS applications. Recommendations for future development include real-world testing and hybrid algorithm implementation.
KOPISA: Rancang Bangun Sistem Otomatis Pengemasan Plastik untuk Biji Kopi dengan Fitur Pemantauan Suhu dan Berat Hendi Purnata; Sugeng Dwi Riyanto; Fadlian Adam
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1198

Abstract

Industri pada umumnya adalah aktivitas untuk menghasilkan produk. Dalam kegiatan industri terdapat beberapa proses seperti pengumpulan bahan baku, produksi, quality control, pengemasan, dan pemasaran. Salah satu masalah yang sering terjadi adalah pada tahap pengemasan. Jika proses pengemasan tidak efisien, hal ini akan menghambat hasil produksi karena membutuhkan banyak waktu dan tenaga. Oleh karena itu, tugas akhir ini bertujuan untuk merancang dan membuat alat pengemas plastik yang dapat mengubah plastik lembaran menjadi kemasan. Alat ini dilengkapi dengan fitur pemantauan suhu pada pemanas dan pemantauan berat kemasan untuk meningkatkan kualitas hasil kemasan. Sistem ini menggunakan mikrokontroler Arduino Mega2560 sebagai pusat kendali, motor servo untuk katup bak penampungan, sensor load cell untuk penimbangan, motor DC sebagai penggerak sealer, dan LCD untuk menampilkan data. Alat ini mengubah plastik lembaran menjadi kemasan yang direkatkan menggunakan pemanas. Komponen pendukung lainnya meliputi relay dan sensor suhu DS18B20. Hasil pengujian menunjukkan alat ini dapat bekerja optimal pada suhu 60-65°C dengan delay pengepresan 2500 ms. Pengemasan menunjukkan akurasi berat yang baik dengan persentase error rata-rata 8,75% untuk 100gram dan 5,05% untuk 200gram. Selisih berat rata-rata antara load cell dan timbangan konvensional adalah 1,29 gram, dan sensor suhu menunjukkan selisih rata-rata 0,878°C dengan error 1,818%.
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.

Page 6 of 7 | Total Record : 62

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