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All Journal Jurnal Inovasi Teknologi dan Edukasi Teknik
Aripriharta Aripriharta
Universitas Negeri Malang, Jl. Semarang No.5, Sumbersari, Malang, 65145 Indonesia
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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SISTEM MONITORING OUTPUT DAYA LISTRIK PANEL SURYA TERINTEGRASI WEB SERVER Firly Aprilia Putri; Aripriharta Aripriharta; Langlang Gumilar
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 4 No. 9 (2024)
Publisher : Universitas Ngeri Malang

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Di Indonesia, durasi pemanenan energi sinar matahari berkisar 7–8 jam per hari. Sehingga dianggap mampu untuk menghasilkan listrik dengan fotovoltaik (PV). Pemantauan panel surya yang tepat dapat membantu mengidentifikasi dan memperbaiki masalah pada panel surya. Dalam upaya mengatasi permasalahan tersebut, pada penelitian ini akan dikembangkan sebuah sistem monitoring output daya listrik panel surya yang terintegrasi dengan Web Server menggunakan Internet of Things yang memungkinkan pengguna untuk melakukan pemantauan jarak jauh melalui smartphone dan PC. Metode yang digunakan pada penelitian ini adalah metode DevOps. Hasil penelitian menunjukkan sistem monitoring output daya listrik panel surya terintegrasi dengan Web Server berjalan dengan baik dan mampu menampilkan data secara real time dengan waktu tunda ±0.50 ms. Selanjutnya, dilakukan pengujian sistem secara keseluruhan dari pukul 08.00 hingga 16.00 dengan tegangan dan arus maksimum yang dihasilkan sebesar 5,13 V dan 0,176 A. Nilai efisiensi yang dihasilkan oleh panel surya 10 Wp sebesar 94,16%.
PERFORMANCE ANALYSIS OF MPPT-QHBM ON SOLAR PANEL SYSTEMS UNDER UNCERTAIN IRRADIATION CONDITIONS Suhiro Wongso Susilo; Aripriharta Aripriharta; Arya Kusumawardana; Langlang Gumilar; Muhammad Afnan Habibi; Sujito Sujito; Mohamad Rodhi Faiz; Saodah Omar
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 5 No. 8 (2025)
Publisher : Universitas Ngeri Malang

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The utilization of solar energy is an important solution in meeting renewable energy needs, especially in Indonesia which has high irradiation potential. However, photovoltaic (PV) systems face challenges in the form of irradiation fluctuations and partial shading effects that reduce efficiency. To overcome this, a reliable Maximum Power Point Tracking (MPPT) algorithm is needed. This study analyzes the performance of the Queen Honeybee Migration (QHBM) algorithm in tracking the maximum power point (MPP) under uncertain irradiation conditions in the Tulungagung region, using a Monte Carlo simulation approach. Simulations were conducted using MATLAB in two scenarios: standard conditions (1000 W/m²) and fluctuating conditions based on historical data. Results show that the QHBM achieves 99.98% efficiency with the fastest convergence time (5 iterations) under STC conditions, as well as an average efficiency of 98.99% (normal) and 97.86% (abnormal) under fluctuating conditions. In addition, the system successfully charged the battery, with SOC increasing by 0.038% (optimal) and 0.026% (volatile). The QHBM algorithm is proven to be adaptive to irradiation dynamics and superior to GWO, PSO, and P&O, making it a potentially effective solution for PV systems operating under changing irradiation conditions throughout the day
Co-Authors Arya Kusumawardana Firly Aprilia Putri Langlang Gumilar Mohamad Rodhi Faiz Muhammad Afnan Habibi Saodah Omar Suhiro Wongso Susilo Sujito Sujito