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All Journal IPTEK Journal of Proceedings Series Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat INTEKNA Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Logic : Jurnal Rancang Bangun dan Teknologi Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan Mitra Akademia: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Industrial Research Workshop and National Seminar JURNAL POLI-TEKNOLOGI Logic : Jurnal Rancang Bangun Dan Teknologi Eduvest - Journal of Universal Studies
Isdawimah
Politeknik Negeri Jakarta
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Enhancing Renewable Energy Utilization in Remote Areas Through an Accessible IoT Monitoring Framework: A Case Study on Tidung Island Dwiyaniti, Murie; Isdawimah, Isdawimah; Nadhiroh, Nuha; Setiana, Hatib; Muchlishah; Monika, Dezetty; Wardhani, Rika Novita; Tahazen, Tahazen
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.93685

Abstract

This research addresses the lack of an accurate and efficient monitoring system for renewable energy utilization in Tidung Island. Despite its high solar and wind energy potential, the absence of real-time environmental data hinders optimal energy management. Existing IoT-based monitoring systems are costly and complex, making them unsuitable for remote areas. This research integrates Blynk IoT and Google Sheets database for real-time, cost-effective, and easily accessible data storage. This system enables real-time data acquisition to support efficient energy management and environmental monitoring in remote areas. Testing results show that the Telkomsel 4G modem provides a more stable connection with lower latency and minimal packet loss. Temperature remains between 25–30°C, while humidity fluctuates up to 100% at night. Wind speed is classified as low to moderate (1.0–6.1 m/s), and CO₂ levels range from 400–600 PPM, remaining within safe limits. These findings suggest the need for improved energy storage, system resilience against environmental changes, and adaptive energy management strategies for optimal hybrid renewable energy utilization.
Online Monitoring System for Harmonics with Passive Filter on A 110 KW Three-Phase Inverter Putro, Mardha Haryono; Isdawimah, Isdawimah; Liliana, Dewi Yanti
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51496

Abstract

Mardha Haryono Putro. Master's Program in Applied Electrical Engineering. Online Monitoring System for Harmonic Filters in a Three-Phase Inverter with a Capacity of 110 kW. This study aims to design and implement an Internet of Things (IoT)-based electrical power quality monitoring system and to design a single-tuned passive harmonic filter to reduce the fifth-order individual harmonic distortion (iHD-5) in a 110 kW three-phase inverter system. The monitoring system was developed using a GAE MG50 power meter and an ESP8266 microcontroller, integrated with Google Sheets and the Blynk app for real-time monitoring. Data was collected over 7 days before and after filter installation. Measurement results showed an initial THDi value of 67.35% and a fifth-order iHD value of 47.8%, exceeding the 12% threshold according to IEEE Std 519-1992. The passive filter was designed with a capacitance of 155.2 µF and an inductance of 2.89 mH. After installation, THDi decreased to 38%, iHD-5 to 9.96%, neutral current dropped from 18 A to 9 A, and power factor improved from 0.76 to 0.91. Energy savings are estimated at ± 2,484 kWh per month, equivalent to ± Rp 2,571,391 at an industrial electricity rate of Rp 1,035.78/kWh. The research results indicate that integrating an IoT monitoring system with a passive harmonic filter can improve energy efficiency, reduce harmonic distortion, and enhance power quality in industrial electrical systems.
Monitoring Kualitas Daya Listrik Berbasis Internet of Things Pada Panel Kontrol Motor Setiana, Hatib; Muhammad, Hasan Zein; Isdawimah; Isra Yuspita, Opi
Electrices Vol 5 No 2 (2023): Volume 5 Nomor 2 Tahun 2023
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/ees.v5i2.6267

Abstract

Kualitas daya yang baik penting untuk menjaga kinerja optimal, efisiensi produk, dan operasi industri yang aman. Motor induksi tiga fasa yang umum digunakan di industri dapat mempengaruhi kualitas daya karena menyebabkan distorsi harmonik arus dan penurunan kualitas daya listrik. Dibutuhkan sebuah sistem monitoring yang dapat memantau kualitas daya listrik dalam waktu singkat dan dimanapun. Pada penelitian ini dibuat sebuah alat monitoring kualitas daya listrik berbasis IoT pada panel kontrol motor yang menitikberatkan pengujian pada ketidakseimbangan arus dan THDI. Monitoring dilakukan pada sebuah panel kontrol motor yang melayani 4 buah motor induksi tiga fasa. Dimana 3 motor menggunakan penyulutan DOL sedangkan 1 motor lagi menggunakan star-delta. Pengujian dilakukan pada kondisi motor nonaktif dan beroperasi bersamaan. Alat monitoring yang dibuat berhasil menampilkan data dengan latensi 0,5 detik dan error rata-rata 3,5%. Hasil analisis menunjukkan bahwa motor induksi berpengaruh terhadap ketidakseimbangan arus dan THD arus. Semakin banyak motor induksi yang dihubungkan pada sistem, maka semakin rendah nilai faktor daya dan THDI netralnya. Ketidakseimbangan arus maksimum di setiap fasa adalah R=7.25%, S=4.64% dan T=4.35%, yang menghasilkan arus pada titik netral.
DESIGN & IMPLEMENTATION OF MPPT SOLAR PHOTOVOLTAIC - ELECTRIC VEHICLES IN FAST VARYING PARTIAL SHADING CONDITIONS USING SERVAL OPTIMIZATION ALGORITHM Saputra, Hendry; Isdawimah; Belyamin
Logic : Jurnal Rancang Bangun dan Teknologi Vol. 24 No. 2 (2024): July
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/logic.v24i2.49-62

Abstract

Solar panels are used to convert solar energy into electrical energy. In this study it was applied to electric vehicles which have a very large potential for being constrained by shadows. In fast varying partial shading conditions, the position of the maximum power point is divided into two, namely GMPP and LMPP. This condition makes the MPPT process stuck in LMPP. Therefore, this research proposes the application of Serval Optimization Algorithm (SOA) in MPPT. This method refers to the natural behavior of the serval in nature. The fundamental inspiration of SOA is the serval hunting strategy in two stages of exploration and exploitation. The SOA is implemented in MPPT to change (duty cycle) so that it gets the best value and produces maximum solar panel output power. This SOA method was chosen to complete the partial shading conditions so that MPPT can optimally reach GMPP without going through LMPP. The solar panels used in this system are 2  units with specifications of 25 Wp with a 24V battery load and a 120W BLDC Motor compact in Electric Vehicle - Two Wheeler Scooter. MPPT SOA was tested in a simulation using PSIM and actual Software in 6 variations of normal and partial shading conditions. In the Simulation Test of Partial Shading Conditions, an average accuracy of 99.958% and an average tracking time of 0.492 seconds were obtained. SOA has a higher accuracy than PSO and GWO, which is 99.95%. And it has a faster tracking time of 0.55 seconds. In the SOC Integration Test, the SOA Method obtained an error value of 6.48% better than the GWO Method. On the Road Test with 6 condition, it can slow down the value of the decrease in battery capacity by 16.24%. The application of Single Source on the PV-MPPT-Converter can be implemented with an efficiency value of 76.86%. In previous research where SOA is a new method in Optimizing Problem Solving which has quite good accuracy performance, and in this research it can be implemented in Solar PV Optimization to track MPPT electric vehicles with varied and fluctuating partial shading conditions.
Co-Authors Ahmad, Islamy Aji, A Damar Arum Kusuma Wardhany Bagas Adha Pratama Belyamin Bhadrika Dhairyatma Wasistha Dewi Yanti Liliana Eko Adhi Setiawan Endang Wijaya Faisal Majid, Muhammad Fajar Maulana Ganes Sulistyaning Utami Giras Gumiwang Antares Sabesto Gunawan, Ridwan Ikhsan Kamil Iskandar, Gilang Maulana Ismujianto - Ismujianto Ismujianto Isra Yuspita, Opi Juliansyah, Muhammad Fitra Kusnadi Kusnadi Mia MT Djaja Monika, Dezetty Muchlishah Muhammad, Hasan Zein Muhammad, Muhammad Agung MURIE DWIYANITI1 Nadhiroh, Nuha Putro, Mardha Haryono R. -, Setiabudy, R. Rika Novita Wardhani Rudy Setiabudy S -, Wardono, S S, Anik Tjandra Saputra, Hendry Satria Arief Aditya Setiana, Hatib Setyadi Tri Silawar dono Silo Wardono Silo Wardono Sri Danaryani Tabrany, Susilawati Tahazen, Tahazen Uno Bintang Sudibyo Wartiyati Wartiyati Yogi Widiawati