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All Journal Engagement: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Elvira Sukma Wahyuni
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Pemanfaatan Energi Terbarukan untuk Pembangkit Listrik Tenaga Surya Berbasis Komunitas: Menuju Desa Mandiri Energi Elvira Sukma Wahyuni; Husein Mubarok; Firmansyah Nur Budiman; Setyawan Wahyu Pratomo
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2020): November 2020
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/engagement.v4i2.181

Abstract

Located on the equator, Indonesia is blessed with abundant sunlight. With current advances in solar cell and photovoltaic technology, sunlight can be exploited on a large scale, among other things, to be converted into electricity. This paper reports the results of the community service with a focus on the energy sector that took place in Wonosalam Hamlet. The method used was Community Based Research (BCR), where there are three stages of service, namely providing education to the local community about the benefits of sunlight and its use using photovoltaic, photovoltaic installation, and a feasibility study. The results show that with the current usage pattern, a dedication project of IDR 10,000,000 can save energy by 0.48 kWh / day, which is equivalent to around IDR 258,241.28 / year. In addition to the economic benefits that may not bring significant benefits, the broader impact of this project is expected to have an impact on how local people view the use of solar energy as an alternative energy source.
Sistem Robot Pengantar Barang Menggunakan Kamera Sebagai Detektor Objek M Raihan Afrinurrahman; Muhammad Hafiizhun Aliim; Sisdarmanto Adinandra; Elvira Sukma Wahyuni
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10727

Abstract

This study discusses the design and implementation of a delivery robot system based on object detection using a camera with the YOLOv5 algorithm. The system is designed to operate autonomously in a limited-space MSME warehouse environment, equipped with a gripper and forklift mechanism to pick, lift, and deliver box-shaped goods. The dataset used includes ±300 images at various distances, positions, and lighting conditions. The test results show that the detection accuracy reaches 96.67% in low-light conditions and 83.33% in high-light conditions. The robot is able to operate for 1 hour 15 minutes with a maximum lifting capacity of 1 kg and optimal performance at loads up to 700 g. The implementation of this system has the potential to increase the logistics efficiency of MSMEs by reducing reliance on manual labor, accelerating distribution, and improving the accuracy of goods handling.
Co-Authors Firmansyah Nur Budiman Husein Mubarok M Raihan Afrinurrahman Muhammad Hafiizhun Aliim Setyawan Wahyu Pratomo Sisdarmanto Adinandra