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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Ilmu Pendidikan
Muhamad Taufiq Hidayatullah Syari
Universitas Sultan Ageng Tirtayasa
Arts Humanities Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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PENERAPAN SISTEM PENYIRAMAN CERDAS BERBASIS TENAGA SURYA PADA PERKEBUNAN TERONG DI DESA TINGGAR Akmal Aziz; Muhammad Dicky Saputra; Andi Purwanto; Apipah Apipah; Rovino Alghafar; Dafairro Abbil Gunawan; Ardian Nurarifin; Aldi Fadilla Ramadhan; Muhamad Taufiq Hidayatullah Syari; Zulfa Akbar Al Fatah; Siswo Wardoyo
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 3 (2026): Vol. 7 No. 3 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i3.59400

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan sistem penyiraman otomatis berbasis energi surya pada perkebunan terong di Desa Tinggar, Kecamatan Curug, Kota Serang. Permasalahan utama yang dihadapi petani adalah proses penyiraman masih dilakukan secara manual sehingga kurang efisien dalam penggunaan udara dan tenaga kerja. Metode pelaksanaan kegiatan ini terdiri atas tiga tahapan utama, yaitu persiapan, pelaksanaan kegiatan, dan evaluasi. Hasil evaluasi menunjukkan adanya peningkatan pemahaman kelompok tani, di mana sebelum kegiatan ( pre-test ) sebanyak 80% peserta berada pada kategori sedang dan 20% pada kategori tinggi. Setelah pelaksanaan sosialisasi dan pelatihan, seluruh peserta (100%) berada pada kategori pemahaman tinggi. Dengan demikian, implementasi sistem irigasi otomatis berbasis energi surya berjalan dengan baik dan efektif dalam meningkatkan efisiensi budidaya tanaman terong serta pemahaman petani terhadap teknologi pertanian modern berbasis energi terbarukan.
Analisis Pemanfaatan Teknologi Digital dalam Pemeliharaan Sistem Tenaga Listrik: Literature Review terhadap Implementasi Predictive Maintenance Fiana Fiana; Ardian Nurarifin; Muhamad Taufiq Hidayatullah Syari; Muhamad Rifki Arrosyid; Didik Aribowo
Prosiding Seminar Nasional Ilmu Pendidikan Vol. 3 No. 1 (2026): Juni: Prosiding Seminar Nasional Ilmu Pendidikan
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/prosemnasipi.v3i1.219

Abstract

The rapid advancement of digital technologies has transformed maintenance practices in electric power systems, encouraging a shift from conventional approaches toward predictive maintenance strategies. This study examines the role of digital technologies in supporting predictive maintenance through a comprehensive literature review. The research was conducted by analyzing scientific journals, conference papers, and scholarly articles discussing the application of Internet of Things (IoT), Artificial Intelligence (AI), machine learning, SCADA, and digital twin technologies in power system maintenance. The review indicates that predictive maintenance contributes to improved system reliability, reduced equipment downtime, lower maintenance expenditures, and enhanced operational efficiency through continuous monitoring and data-based decision making. Furthermore, digital technologies facilitate earlier fault identification and more effective maintenance scheduling. Despite these benefits, several challenges remain, including cybersecurity concerns, investment requirements for digital infrastructure, and the need for skilled personnel. The findings of this study provide insights that may support the development of more intelligent, efficient, and reliable power systems in the future.
Co-Authors Akmal Aziz Aldi Fadilla Ramadhan Andi Purwanto Apipah Apipah Ardian Nurarifin Dafairro Abbil Gunawan Didik Aribowo Fiana Fiana Muhamad Rifki Arrosyid Muhammad Dicky Saputra Rovino Alghafar Siswo Wardoyo Zulfa Akbar Al Fatah