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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Structures, Infrastructure, Planning, Implementation, and Legislation
Meny Sriwati
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Humanities Civil Engineering, Building, Construction & Architecture Education Languange, Linguistic, Communication & Media Mathematics Other

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Analisis Kinerja Sistem Panel Surya Berbasis Maximm Power Point Tracking (MPPT) Dalam Kondisi Cuaca Tropis: Penelitian Rafilus Sampe; Yuli Kusdiah; Meny Sriwati; Kasnawati
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3165

Abstract

Penelitian ini bertujuan untuk menganalisis kinerja sistem panel surya berbasis Maximum Power Point Tracking (MPPT) pada kondisi cuaca tropis yang memiliki karakteristik radiasi matahari dan suhu lingkungan yang sangat fluktuatif. Metode yang digunakan adalah studi literatur dengan meninjau berbagai hasil penelitian terdahulu yang membahas implementasi dan efektivitas algoritma MPPT pada sistem fotovoltaik di wilayah tropis. Sumber referensi utama mencakup penelitian dari tahun 2020 hingga 2024 yang mengkaji berbagai algoritma MPPT seperti Perturb and Observe (P&O), Incremental Conductance (INC), Fuzzy Logic Control (FLC), dan sistem berbasis Arduino. Hasil kajian menunjukkan bahwa performa sistem PV di daerah tropis sangat bergantung pada kemampuan algoritma MPPT dalam menyesuaikan titik daya maksimum terhadap perubahan intensitas radiasi dan suhu. Algoritma berbasis Fuzzy Logic dan Incremental Conductance terbukti memiliki efisiensi konversi daya lebih tinggi dibandingkan metode konvensional, terutama pada kondisi cuaca yang cepat berubah. Selain itu, integrasi sistem MPPT dengan microcontroller seperti Arduino juga meningkatkan responsivitas sistem terhadap variasi cuaca. Secara umum, penerapan MPPT pada panel surya di iklim tropis mampu meningkatkan efisiensi energi hingga 15–25% dibandingkan sistem tanpa MPPT. Hasil penelitian ini menegaskan pentingnya pengembangan algoritma MPPT adaptif yang mampu mengakomodasi dinamika cuaca tropis untuk meningkatkan performa sistem energi surya berkelanjutan.
Performance Evaluation of Irrigation Networks Based on Sentinel-2 Satellite Imagery and E-PAKSI Data: Vegetation Index Analysis of Water Distribution Efficiency meny sriwati; Wahiddin; Firman's Bramadhani
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 2 No. 1 (2026): April,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v2i1.528

Abstract

The pervasive inefficiency of water distribution in surface irrigation networks necessitates a transition toward objective, data-driven performance auditing. This study aims to develop an evidence-based evaluation model that quantifies the direct impact of irrigation infrastructure physical conditions on agricultural productivity. The research evaluates the nexus between infrastructure integrity and biophysical crop performance by integrating the E‑PAKSI digital database with Sentinel‑2 multispectral imagery. Conducted in the Rentang Irrigation Area, West Java, the study utilized a stratified random sampling of 215 tertiary blocks to analyze spatial variability from head to tail reaches. Vegetation health was quantified using NDVI and SAVI indices, which were subsequently correlated with the physical condition scores of regulatory structures. Results indicate a significant positive correlation (; ) between infrastructure quality and peak vegetation indices. Findings reveal that degraded tertiary gates in downstream sectors trigger water losses of up to 41.50% and planting delays of 25 days. These results imply that rehabilitation priorities must shift toward tail‑end regulatory assets to enhance distributional equity. Practically, these findings provide a strategic roadmap for irrigation authorities to prioritize budget allocations for distal gate repairs, which can potentially recover nearly half of current conveyance losses. In conclusion, the integration of satellite‑derived metrics and digital audits provides a robust framework for Irrigation Modernization 4.0, offering a foundation for future predictive maintenance models using artificial intelligence.
Co-Authors Firman's Bramadhani Kasnawati Rafilus Sampe Wahiddin Yuli Kusdiah