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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) CYCLOTRON TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol BIORMATIKA : JURNAL ILMIAH FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Scientia Mosharafa: Jurnal Pendidikan Matematika Jurnal IPTEK Bagi Masyarakat Jurnal Teknologi Informasi Fuse-teknik Elektro
HELFY SUSLAWATI
Fakultas Teknik Universitas Garut
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Renewable Energy Education through Solar-Powered Toy Car Assembly Activities for Junior High School Students Tri Arif Wiharso; Helfy Susilawati; Akhmad Fauzi Ikhsan; Gandi Sugandi; Putri Asti Meilani; Agistian Hendryansyah; Dama Robiul Awaludin
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1612

Abstract

Renewable energy sources are a solution to fossil energy sources, which are increasingly depleting every day. Renewable energy has various types; however, the most widely used at present is solar energy, commonly referred to as solar power generation (photovoltaic systems). The development of solar power in Indonesia has begun to be implemented in several sectors to support government programs, particularly national energy security. Considering the importance of renewable energy, early socialization and education are needed, especially for junior high school students. Early education is expected to raise students’ awareness of the importance of environmental preservation in maintaining renewable energy resources provided by nature. To make the educational process more engaging, a hands-on practice method was applied. In this community service activity, students assembled solar-powered toy cars so that the cars could operate. This activity aimed to directly involve students in the use of renewable energy and to help them understand how renewable energy can be applied in simple applications. The results show that students were able to complete the assembly of solar-powered toy cars; 48.28% of students rated the activity as very beneficial, 48.28% as beneficial, and 3.45% as moderately beneficial. Based on these results, it can be concluded that the community service activity was successfully implemented.
Random sample consensus-based room mapping using light detection and ranging Merlyn Inova Christie Latukolan; Aloysius Adya Pramudita; Nasrullah Armi; Nizar Alam Hamdani; Helfy Susilawati; Arief Suryadi Satyawan
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.6932

Abstract

Light detection and ranging (LiDAR) is a high-accuracy data source for geospatial providers that is displayed in two dimensions (2D) or three dimensions (3D). It is used to measure the distances or 2D or 3D maps of the environment. This study examines a random sample consensus (RANSAC)-based room mapping approach utilizing LiDAR. The RANSAC is used to achieve line fitting as a solution to acquire missing or incomplete point cloud data during the process of room scanning. The maximum x-y distance is proposed to achieve a proper model to fix the missing line during the LiDAR scanning process. Data retrieval uses ground-based LiDAR located in the middle of a certain room with the dimension of 5.76×4.95 m2. To explore a room mapping, a 2D LiDAR YDLIDAR G4 with an operating frequency of 7 Hz is used. The derived raw data is then visualized with MATLAB. The results show that the RANSAC can perform line-fitting for missing or illegible LiDAR point cloud data during the scanning process due to reflection or obstacles. The increase in the amount of data used is then directly proportional to the probability of the number of correct models.
Co-Authors Adira Nur Andiyani Agistian Hendryansyah Ahmad Fauzi Akhmad Fauzi Ikhsan Akhmad Hasyim Aloysius Adya Pramudita Arief Suryadi Satyawan Dama Robiul Awaludin Ega Rizki Juniawan Fitri Nuraeni Gandi Sugandi Hamdani, Nizar Alam Merlyn Inova Christie Latukolan Nasrullah Armi Putri Asti Meilani Sifa Nurpadillah Teddy Mulyadi Hidayat Tri Arif Wiharso TRI ARIF WIHARSO Tri Arif Wiharso Yoga Handoko Agustin