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All Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Elektro Kontrol (ELKON)
Sirojul Hadi
Politeknik Negeri Bali
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health

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Sistem Monitoring dan Peramalan Energi Listrik Berbasis Moving Average Ordo 3 dan IOT Muhammad Sholahudin Sunardiyanta; Sirojul Hadi
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 2 (2026): Mei 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i2.5298

Abstract

The use of electrical energy in boarding houses often results in unintentional energy waste, because residents tend to leave their rooms without unplugging electrical devices, which causes increased electricity consumption and higher costs. This study aims to design an IoT-based electrical energy monitoring and control system for boarding rooms. This system uses an ESP32 microcontroller connected to a WiFi network, while the energy meter is equipped with a PZEM-004T sensor to measure electrical energy parameters. Measurement data is transmitted to a database for monitoring purposes and displayed on the user's website. This study applies the third-order Moving Average forecasting method by utilizing energy measurement data obtained from the PZEM-004T sensor, which is processed by a web server. The forecasting results show good accuracy, with errors ranging from 0.99–18.65% compared to the actual values. Furthermore, the measurement results show satisfactory performance, with parameter measurement errors ranging between 0–0.8%. This system is capable of providing accurate information about electrical energy consumption, estimating remaining electrical energy, and issuing notifications when available electrical energy falls below a predetermined threshold. Therefore, the proposed system is considered reliable and accurate for monitoring, controlling, and predicting electrical energy, thus supporting efficient energy management.Keywords – 3rd order Moving Average, Energy Monitoring, ESP32, Forecasting, Internet of Things.
RANCANG BANGUN PENGATUR BEBAN OTOMATIS BERBASIS MIKROKONTROLER SEBAGAI PENSTABIL TEGANGAN PEMBANGKIT LISTRIK TENAGA MIKROHIDRO Muhammad Najmul Fadli; Herisajani Herisajani; Sirojul Hadi; Dyah Ayu Kartika Sari; Fanji Azhary Arsal
Jurnal Elektro Kontrol (ELKON) Vol. 5 No. 2 (2025): Jurnal ELKON
Publisher : Teknik Elektro Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/elkon.v5i2.16228

Abstract

Pembangkit Listrik Tenaga Mikrohidro (PLTMH) merupakan salah satu solusi energi terbarukan yang banyak diterapkan di daerah terpencil. Namun, sistem ini memiliki kelemahan berupa fluktuasi tegangan akibat perubahan beban konsumen secara tiba-tiba. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pengatur beban otomatis berbasis mikrokontroler dengan kontrol Proportional Integral Derivative (PID) untuk menjaga kestabilan tegangan keluaran generator mikrohidro. Perubahan tegangan keluaran sebuah generator dipengaruhi oleh salah satu faktor yaitu pengaturan penggunaan beban. Dalam penelitian ini dibuat suatu sistem pengatur beban otomatis (ELC/Electronic Load Controller) pada generator sinkron 1 fasa untuk menjaga kestabilan tegangan generator sesuai ratingnya sebesar 220 Volt. Mengimplentasikan kontroler PID untuk menstabilkan tegangan terminal pada generator sinkron 1 fasa. Hasil pengujian menunjukkan bahwa sistem dengan kontrol PID mampu menstabilkan tegangan keluaran pada nilai 220 V ± 1%. Dibandingkan dengan sistem tanpa control ELC, selisih tegangan berkurang hingga 80%. Berdasarkan hasil tersebut, kontrol PID terbukti efektif dalam menjaga kestabilan tegangan pada PLTMH skala kecil, serta berpotensi diterapkan pada sistem pembangkit terbarukan lainnya.
Co-Authors Dyah Ayu Kartika Sari Fanji Azhary Arsal Herisajani Herisajani Muhammad Najmul Fadli Muhammad Sholahudin Sunardiyanta