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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 72 Documents
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Pembagian Daya pada Kendaraan Listrik Berbasis Sistem Hybrid Baterai dan Superkapasitor dengan Fuzzy Logic Controller Andika, Yudi; Annisa, Aulia; Sa’diyah, Aminatus; Widodo, Hendro
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.v6i01.1217

Abstract

This research discusses the application of Energy Management System on hybrid batteries and superkapasitors for power distribution as an effort to distribute the load on electric vehicles. The purpose of the research conducted is to determine whether the proposed Fuzzy Logic Controller-based control system can operate well as an effort to distribute power for the needs of operating electric vehicles. The driving cycle that will be used in the study is the Urban Dynamometer Driving Schedule (UDDS) cycle to determine the effect of power sharing on hybrid batteries and superkapasitors in the UDDS driving cycle. Testing was carried out under 2 different conditions, namely when the SOC condition of the battery and superkapasitor was 85% and when the SOC of the battery was 20% while the SOC of the superkapasitor was 85%. From the test, it was obtained that the proposed hybrid battery and superkapasitor system based on the Fuzzy Logic Controller was able to operate well under the specified conditions. Both energy storage devices were able to share power by maintaining the battery and superkapasitor SOC not exceeding the specified operating limits. This condition allows electric vehicles to be operated for a fairly long period of time.
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.
PERENCANAAN TRANSFORMATOR PADA ELEKTRIFIKASI CONTAINER CRANE UNTUK OPERASI BONGKAR MUAT Setiawan, Edy; Annas Singgih Setiyoko; Galih Anindita; Yudi Andika; Evi Nafiatus Sholikhah
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/j5da7y85

Abstract

Sistem bongkar muat pelabuhan mencakup semua komponen atau peralatan penanganan muatan yang mendukung proses bongkar muat baik dari kapal ke pelabuhan maupun sebaliknya. Dalam penanganan pelabuhan, ini melibatkan pembongkaran dari kapal dengan memakai crane dan sling kapal ke daratan terdekat, umumnya dikenal sebagai dermaga. Crane adalah alat yang digunakan untuk mengangkat dan memindahkan material yang juga membutuhkan energi listrik. Untuk itu diperlukan sumber daya listrik untuk kegiatan operasional bongkar muat. Kebutuhan sumber daya listrik yang diperlukan, digunakan juga dalam menentukan kapasitas transformator distribusi yang terpasang. Untuk menentukan semua itu berdasar keberadaan beban yang digunakan sebagai acuan utama dalam beban listrik yang diharapkan. Beban diklasifikasikan sesuai dengan sifat, yaitu continue dan terputus-putus (intermittent). Beban terputus-putus (intermittent) tergantung faktor siklus kerja yang dapat ditambahkan pada beban kontinyu untuk mendapatkan beban rata-rata (average load). Beban listrik ditentukan berdasarkan konsep di atas, dengan margin ditambah 30% di atas beban rata-rata dengan memasukkan perubahan beban pada kerangka pemakai pada saat pengembangan dan implementasi perubahan diwaktu mendatang. Berdasarkan hasil studi lapangan pada operasional bongkar muat di Surabaya yang menjadi lokasi penelitian ini, menunjukkan transformator yang terpasang pada Container Crane (T4 2500 kVA/20/6,6 kV) dan transformator yang terpasang pada RTG Crane (T1 1250 kVA/20/0,4 kV) sudah sesuai dengan kapasitas transformator yang seharusnya.
Implementasi Logika Fuzzy dalam Perancangan Sistem Kontrol Kecepatan Motor Chain Conveyor Rizky, Sofi Berliana; Rachman, Isa; Ii Munadhif
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/j93p5q70

Abstract

Dalam sistem produksi industri, chain conveyor merupakan komponen penting untuk memindahkan material secara efisien. Namun, variasi beban secara dinamis dapat menyebabkan gangguan pada kinerja motor penggerak, seperti peningkatan arus dan suhu yang berisiko menyebabkan kerusakan. Penelitian ini bertujuan merancang sistem kontrol kecepatan motor chain conveyor berbasis logika fuzzy dengan metode Sugeno untuk mengatasi permasalahan tersebut. Sistem mengandalkan input dari sensor Load Cell (berat material), PT100 (suhu motor), dan PZEM-004T (arus listrik) yang diproses menggunakan aturan fuzzy. Keluaran sistem berupa sinyal kontrol untuk mengatur kecepatan motor melalui inverter. Perancangan dilakukan dengan integrasi sensor, ESP32, serta aktuator seperti relay dan motor servo, dengan pengaturan sinyal PWM yang dikonversi menjadi tegangan analog. Simulasi sistem menggunakan software Matlab menunjukkan bahwa logika fuzzy Sugeno mampu menentukan set point kecepatan motor secara akurat berdasarkan input aktual. Pada pengujian dengan berat material 900 gram, suhu motor 37,4°C, dan arus listrik 2,29 A, sistem berhasil menghasilkan frekuensi motor sebesar 25 Hz yang sesuai dengan perhitungan manual. Hasil ini menunjukkan bahwa metode fuzzy efektif dalam menyesuaikan kecepatan motor secara adaptif, serta meminimalisasi risiko overload pada motor dalam kondisi operasional yang berubah-ubah.
Simulasi Deteksi Marka Jalan Menggunakan Canny Edge Detection untuk Navigasi Kendaraan Otonom Akbara, Febrian; Ii Munadhif; Mohammad Abu Jami'in; Ryan Yudha Adhitya; Imam Sutrisno
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/1a6jvn12

Abstract

This study develops an automatic steering control system based on image processing using the Canny Edge Detection method. The system is implemented on a small-scale autonomous vehicle prototype, utilizing Raspberry Pi 5 as the main processor and a Pi Camera as the visual sensor. Video frames are processed through several stages, including color conversion, Grayscale, Gaussian blur, Edge Detection, Region of Interest (RoI), and lane center estimation. The results show an average lane detection accuracy of 96% with responsive steering control, indicating the system's potential for lightweight autonomous vehicle navigation.
Implementasi Deep Learning Dalam Prediksi Real-Time Iradian Surya Liwijaya, Angga; Risma, Pola; Oktarina, Yurni; Dewi, Tresna
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/pvdpsr36

Abstract

Accurate prediction of solar irradiance plays a critical role in the planning and operation of renewable energy systems, particularly for photovoltaic integration and energy management. This study investigates the use of a deep learning approach based solely on Convolutional Neural Networks (CNN) to forecast short-term solar irradiance values. The model is trained using normalized multivariate time series data, which include several meteorological parameters as input features. The CNN architecture is designed to extract temporal patterns from the input sequences and predict radiation intensity at the next time step. Experimental results show that the proposed model achieves strong predictive performance, with a Mean Squared Error (MSE) of 0.0006, Root Mean Squared Error (RMSE) of 0.0242, Mean Absolute Error (MAE) of 0.0184, and a coefficient of determination (R²) of 0.9607. These findings demonstrate that CNN, despite its simplicity, is capable of effectively learning complex temporal relationships in solar irradiance data. Furthermore, the loss curves for both training and validation sets indicate stable convergence without signs of overfitting. The results suggest that CNN-based forecasting models can offer a lightweight and accurate solution for real-time solar prediction applications, especially when computational resources are limited.
Pengaruh Variasi Output Buck-Boost terhadap pH dan TDS pada Proses Elektrolisis Air Riskitasari, Septyana; Ekawati, Deasy Shandiya; Nurwicaksana, Wahyu Aulia
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/t5wzk262

Abstract

Penelitian ini bertujuan merancang dan menguji sistem monitoring kualitas air berbasis ESP32 dengan sensor pH 4502C dan sensor Total Dissolved Solids (TDS) selama proses elektrolisis menggunakan variasi tegangan dan arus output buck-boost converter. Rangkaian utama terdiri dari buck-boost converter yang diatur pada mode buck (5 V) dan boost (20 V), elektroda aluminium sebagai media elektrolisis, serta instrumen pengukuran pH dan TDS yang terintegrasi dengan mikrokontroler. Pengujian dilakukan dengan mencatat perubahan pH dan TDS pada interval waktu tertentu hingga 90 detik. Hasil pengujian menunjukkan bahwa sensor pH 4502C mampu mendeteksi kenaikan pH dari nilai awal 4,00. Pada kondisi 5 V 20 A (J = 4,03 mA/cm²) pH meningkat lebih cepat hingga 6,70, sedangkan pada kondisi 20 V 12 A (J = 2,41 mA/cm²) hanya mencapai 5,60. Hal ini membuktikan bahwa densitas arus berperan penting terhadap laju peningkatan pH akibat pembentukan ion OH⁻. Sensor TDS menunjukkan penurunan kadar zat terlarut dari nilai awal 169 ppm. Pada tegangan 5 V 20 A, TDS menurun lebih signifikan hingga 120 ppm, sedangkan pada 20 V 12 A hanya turun menjadi 139 ppm. Hasil ini menunjukkan variasi tegangan dan arus berpengaruh terhadap efektivitas penurunan zat terlarut dalam air.
Analisis Kinerja Sistem Kontrol Hybrid Electric Vehicle (HEV) Menggunakan Metode Neuro-fuzzy Rahma Annisa, Aulia; Andika, Yudi; Muhammad Irsyad, Sholahuddin; Sasmita Aji Pambudi, Dwi
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/f5y40s25

Abstract

Electric cars are an environmentally friendly vehicle alternative developed to reduce exhaust gas emissions and air pollution. One example is the Hybrid Electric Vehicle (HEV), which combines an Internal Combustion Engine (ICE) and an electric motor (DC motor) to improve efficiency and torque performance. HEVs generally have a smaller capacity compared to conventional vehicles, making them more fuel-efficient and energy-efficient. The system in an HEV is complex and nonlinear, requiring dynamic model approaches and appropriate control methods to maintain optimal performance. This research aims to analyze the performance of the inverse model neuro-fuzzy control system predictor implemented on an HEV. The test results show that applying a neuro-fuzzy controller can significantly improve the system's ability to achieve a response that matches the reference model. The performance of the DC motor is able to help reduce the speed error difference by up to 50 rpm with a Root Mean Square Error (RMSE) value of 0.582%. Additionally, there is a 1.411% decrease in error value compared to when the ICE is operating without using a neuro-fuzzy controller. Based on these results, the neuro-fuzzy method has proven effective in improving the accuracy and stability of the control system in HEVs.
Analisa Ekonomi PLTS Off-Grid Dengan Teknologi Pumped Storage Di Mahakam Ulu Rifqi Fajriyansyah; Suryani Faradisa, Irmalia
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/7cp9b247

Abstract

Indonesia continues to face challenges in providing reliable and sustainable electricity, particularly in remote areas that are not yet connected to the main power grid. To support the transition toward clean energy, this study conducts a financial feasibility analysis for the planned development of an Off-Grid Solar Power Plant (PLTS) with Pumped Storage technology located in Batu Dinding, Ujoh Bilang, Long Bagun District, Mahakam Ulu Regency, East Kalimantan. The objective of this research is to evaluate the project’s economic feasibility using financial analysis methods, including calculations of Net Present Value (NPV), Internal Rate of Return (IRR), and Benefit-Cost Ratio (BCR). The study assumes a project lifetime of 50 years with a total investment cost of IDR 99,475,000,000, funded through a government grant. The analysis results show a positive NPV, an IRR of 11.2%, and a BCR of 2.60, indicating that the project is financially viable and profitable. Furthermore, the sensitivity analysis with variations in discount rates (3%–10%) and investment cost increases up to 8% demonstrates that the project remains stable and feasible under different economic conditions. Therefore, the development of the Off-Grid PLTS with Pumped Storage system can serve as a sustainable and clean energy solution for electricity supply in remote regions of Indonesia.
Desain PLTS Off-Grid Dengan Teknologi Penyimpanan Energi Pumped Storage Di Mahakam Ulu Muhamad Cahyo Samudro; Widodo Pudji Muljanto; Faradisa, Irmalia Suryani; Sotyohadi
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/sfhg7b24

Abstract

This research presents the design of an off-grid Solar Power Plant (PLTS) integrated with pumped storage energy technology in Mahakam Ulu Regency, East Kalimantan, as a sustainable energy solution for remote regions. The main objective of this study is to develop a reliable, efficient, and environmentally friendly power generation system by utilizing local renewable energy potential. The research methodology includes identifying 24-hour load demand, analyzing PLTS capacity based on solar radiation potential, calculating hydrological parameters such as water head and flow rate, and determining the capacity and dimensions of key components, including turbines, penstock pipes, pumps, inverters, and storage reservoirs. The technical data show a reservoir volume of 566,784 m³, a head height of 100 meters, a penstock diameter of 1.9 meters, a PLTS capacity of 10.3 MWp using 13,734 solar panels, and a 15 MW inverter. The analysis results indicate that the designed system can maintain continuous electricity supply during nighttime or low-solar conditions through stored potential energy utilization. This configuration significantly reduces dependency on diesel generators, decreases carbon emissions, and supports the national clean energy transition agenda. The off-grid PLTS design integrated with pumped storage technology is proven to be a feasible and sustainable approach that can serve as a reference for developing similar renewable energy systems in other isolated 3T regions with comparable geographical and natural characteristics.

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