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All Journal Jurnal Teknik Mesin International Journal of Renewable Energy Development JAPEPAM, Jurnal Pengabdian kepada Masyarakat
Elvis Adril
Politeknik Negeri Padang
Automotive Engineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms Le, Thanh Tuan; Paramasivam, Prabhu; Adril, Elvis; Nguyen, Van Quy; Le, Minh Xuan; Duong, Minh Thai; Le, Huu Cuong; Nguyen, Anh Quan
International Journal of Renewable Energy Development Vol 13, No 4 (2024): July 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60387

Abstract

This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on the energy domains of solar, wind, biofuel, and biomass. Critical problems such as data variability, system inefficiencies, and predictive maintenance are addressed by the integration of ML in renewable energy systems. Machine learning improves solar irradiance prediction accuracy and maximizes photovoltaic system performance in the solar energy sector. ML algorithms help to generate electricity more reliably by enhancing wind speed forecasts and wind turbine efficiency. ML improves the efficiency of biofuel production by optimizing feedstock selection, process parameters, and yield forecasts. Similarly, ML models in biomass energy provide effective thermal conversion procedures and real-time process management, guaranteeing increased energy production and operational stability. Even with the enormous advantages, problems such as data quality, interpretability of the models, computing requirements, and integration with current systems still remain. Resolving these issues calls for interdisciplinary cooperation, developments in computer technology, and encouraging legislative frameworks. This study emphasizes the vital role of ML in promoting sustainable and efficient renewable energy systems by giving a thorough review of present ML applications in renewable energy, highlighting continuing problems, and outlining future prospects
Rancang Bangun Cetakan Alat Press Pelepah Pinang Menjadi Wadah Makanan Ramah Lingkungan untuk UMKM Araliz, Maheka Restu; Adril, Elvis; Budiman, Daddy; Mutia, Mutia
Jurnal Teknik Mesin Vol 18 No 1 (2025): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.18.1.1846

Abstract

The issue of plastic waste has become a global concern that urgently needs to be addressed. On the other hand, agricultural waste also poses its own challenges. Indonesia is an agrarian country where the agricultural sector plays a significant and vital role in the national economy. One of the major agricultural products in Indonesia, particularly in West Sumatra, is areca nut (betel nut). The areca palm sheath is largely underutilized by farmers, often left unused or burned, which in turn leads to another issue—air pollution. The transformation of organic solid waste into eco-friendly products is still rarely implemented. This study aims to design, assemble, and test a simple press mold to process areca palm sheaths into environmentally friendly food containers. The results show that the mold was successfully designed with dimensions of 140 mm x 140 mm x 20 mm, using ST 42 material. Mold testing with temperature variations (100°C, 150°C, and 175°C) and durations (1 minute, 2 minutes, and 5 minutes) indicated that a temperature of 150°C produced the best results in terms of color and shape accuracy. This innovation is expected to support small and medium enterprises (SMEs) in reducing plastic waste and utilizing areca palm sheath waste.
Pelatihan Keselamatan Dan Kesehatan Kerja (K3) Industri Di SMK N 1 Batusangkar Adril, Elvis; Leni, Desmarita; Fardinal, Fardinal; Menhendry, Menhendry; Junaidi, Junaidi; Mulyadi, Mulyadi
JAPEPAM, Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): JAPEPAM
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/japepam.v2i1.12

Abstract

Pelatihan manajemen K3 yang dilakukan oleh tim PKM pada siswa SMK N 1 Batusangkar menunjukkan bahwa peserta sangat mengikuti pelatihan dengan baik dan memahami materi dengan sangat serius. Pelatihan ini bertujuan memberikan edukasi penting terhadap manajemen K3 dilapangan kerja. Metode diterapkan pada pelatihan ini adalah memberikan materi dan memberikan contoh simulasi K3 yang benar saat dilapangan, agar siswa-siswi ini bisa paham dengan APD (alat pelindung diri) yang merekan gunakan. Setelah pelatihan berlangsung untuk mengetahui seberapa berhasil siswa-siswi ini paham terhadap manajemen K3, tim PKM memberikan angket kepada siswa-siswi SMK 1 N Batusangkar guna evaluasi materi yang disampaikan. Hasil dari kuisioner ini menunjukkan bahwa pelatihan K3 di SMK N 1 Batusangkar berhasil meningkatkan pemahaman peserta tentang K3 dan budaya K3 di tempat kerja, serta meningkatkan tingkat kepatuhan peserta terhadap aturan K3. Namun, masih terdapat beberapa peserta yang kurang memahami manajemen K3 dan tidak terlatih dalam menanggulangi kecelakaan kerja. Kegiatan pelatihan K3 ini diadakan berguna untuk memperkuat pemahaman peserta tentang budaya K3.
Co-Authors Araliz, Maheka Restu Daddy Budiman Duong, Minh Thai Fardinal, Fardinal Junaidi Junaidi Le, Huu Cuong Le, Minh Xuan Le, Thanh Tuan Menhendry Mulyadi Mulyadi Mutia Mutia, Mutia Nguyen, Anh Quan Nguyen, Van Quy Paramasivam, Prabhu