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Enhancing solar panel efficiency through dual-axis tracking and fresnel lens concentration: an image processing approach Ghozi Witsqa Ramadhan, Muhammad; Halim, Levin; Wahab, Faisal
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8465

Abstract

Solar energy is currently utilized as an inexhaustible renewable energy source. Solar panels can convert solar energy into electrical energy that humans can use. The drawback of solar panels is that they cannot always be perpendicular to the sun, causing a decrease in the intensity of incoming light. Therefore, in this research, a solar tracking system with a fresnel lens was designed using image processing to increase the output of solar panels. In this research, programming was done using Python software for image processing using the hue, saturation, value (HSV) color, and space model, which was then connected with Arduino using the PyFirmata library to move the motor. In this research, solar panels with a fresnel lens and solar tracking were implemented. Data collection was performed on the output voltage of the solar panel. The research concludes that solar panels with solar tracker and fresnel lens have a higher average output voltage of 7.53 V than passive solar panels with an average output voltage of 6.38 V. Also, the average output voltage increased by 18.02% after implementing the solar tracking system and adding the fresnel lens.
On-grid vs. off-grid photovoltaic systems for smart greenhouses: a techno-economic case study Simorangkir, Arthur; Halim, Levin
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp545-557

Abstract

Integrating photovoltaic (PV) systems into agricultural applications has gained significant attention as a sustainable energy solution. However, the feasibility of on-grid and off-grid PV systems for smart greenhouse applications in Indonesia remains unclear. This study compares both systems' technical performance, economic viability, and regulatory challenges through simulations and case studies in Lembang, Bandung. The analysis considers solar radiation levels, shading effects, installation costs, energy independence, and long-term operational efficiency. Results indicate that while on-grid systems offer lower initial investment and seamless integration with the utility grid, regulatory constraints and limited capacity approvals pose significant barriers. Despite higher initial costs, off-grid systems provide energy independence and long-term cost benefits by eliminating dependency on grid electricity and avoiding bureaucratic hurdles. The study concludes that off-grid PV systems are a more practical and sustainable solution for smart greenhouse applications in Indonesia, mainly where grid connection processes are complex or unreliable.
Peningkatan Kompetensi Digital dan Manufaktur Melalui Pelatihan AI, Solidworks, 3D Printing, dan CNC Router di BLK Don Bosco Sumba Levin Halim; Bagus M. Arthaya; Nico Saputro; Ali Sadiyoko; Felix K Kinata; Felicia A Purnama; Maydelyn A Soetrisno; M Chaerul Arief
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 5 (2025): September 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v5i5.874

Abstract

Program pengabdian kepada masyarakat ini dilaksanakan di BLK Don Bosco Sumba dengan tujuan meningkatkan kompetensi peserta dalam bidang Artificial Intelligence (AI), desain digital, manufaktur aditif, dan pengoperasian mesin CNC. Kegiatan diikuti oleh 23 peserta yang terdiri dari instruktur dan siswa, berlangsung selama enam hari dengan pendekatan pelatihan partisipatif berbasis praktik langsung (hands-on training). Materi pelatihan meliputi empat sesi, yaitu pemanfaatan AI untuk mendukung pembelajaran, perawatan laptop, desain SolidWorks dan 3D Printing, serta pengoperasian mesin CNC Router. Hasil evaluasi menunjukkan bahwa seluruh aspek pelatihan memperoleh skor rata-rata di atas 4,5 (skala 1–5), dengan nilai tertinggi pada keterterapan materi. Temuan ini membuktikan bahwa kegiatan pelatihan dinilai relevan, aplikatif, serta mampu menciptakan suasana pembelajaran yang interaktif. Selain itu, integrasi AI dalam pendidikan memberikan perspektif baru bagi instruktur lokal, sedangkan praktik langsung dalam 3D Printing dan CNC Router memperkuat keterampilan peserta. Kegiatan ini menegaskan pentingnya pelatihan terstruktur berbasis praktik dalam peningkatan kualitas sumber daya manusia, sekaligus dapat menjadi model bagi program serupa di masa mendatang.