Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research Journal of Renewable Energy, Electrical, and Computer Engineering
Bintoro, Kukuh
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Investigating the Higher Education Students' Perception of an Interactive Virtual Processing Station Application Maryadi, Totok Heru Tri; Badarudin, Rohjai; Bintoro, Kukuh
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1255

Abstract

This study aims to evaluate the Virtual Processing Station as a simulation-based learning medium in the context of engineering education, based on student perceptions. Student perceptions of this medium were evaluated based on four main aspects: relevance, attention, interest, and usefulness. This study involved 30 students from the Department of Electrical Engineering Education at Yogyakarta State University who had used the Virtual Processing Station in laboratory practice sessions. Data were collected through a questionnaire with 17 statements using a Likert scale and supplemented with qualitative feedback from respondents. The results showed that this learning medium was very well received by students, with an average rating of 90.59%. The relevance aspect received the highest score (92.92%), followed by the interest aspect (90.83%) and usefulness (90.56%). Although the attention aspect received a slightly lower score (84.72%), the medium was still considered quite effective in capturing students' attention during the learning process. Positive comments from respondents emphasized the effectiveness of this medium in helping students understand both the practical and theoretical concepts of PLC-based industrial automation systems. The conclusion of this study indicates that the Virtual Processing Station has great potential in supporting more interactive and efficient engineering learning. However, there is still room for improvement in areas such as the user interface and visualization. Future research should focus on assessing the short-term and long-term impacts of this medium, particularly through larger sample sizes and objective assessments of student performance before and after using the Virtual Processing Station. This approach will provide deeper insights into how these medium influences learning outcomes and the development of practical skills in engineering education.
Analysis and Design of a Rooftop Photovoltaic (PV) System in Bulaksumur, Yogyakarta Using Archelios Pro Ananda, Gheri Febri; Bintoro, Kukuh; Khair, Asdaqul
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.18342

Abstract

This research focuses on the design and analysis of a rooftop photovoltaic (PV) system in Bulaksumur, Yogyakarta, using the Archelios Pro software. The objective of the study is to evaluate the efficiency and effectiveness of the PV system in terms of energy production and cost savings. The methods used include simulation and analysis with Archelios Pro, which allows for accurate modeling and estimation of energy production. The load profile at the research site was analyzed to determine the annual energy consumption, which reached 8,859 kWh. The designed PV system consists of 15 modules with a total capacity of 6.60 kWp. The results show that the PV system, without battery storage, produces an annual energy output of 10,185 kWh, meeting 115% of the household's annual energy needs. However, without battery storage, only 25.8% of the generated energy is directly usable. In the scenario with battery storage, self-consumption increases from 25.8% to 45.8%, and reliance on the electricity grid decreases from 5,510 hours to 4,179 hours per year. Economic analysis reveals annual cost savings of Rp 3,847,926, although the payback period exceeds 20 years. The use of the PV system also reduces annual carbon emissions by 3,965.25 kg of CO‚‚, contributing to efforts to achieve net-zero emissions in Indonesia.
Co-Authors Ananda, Gheri Febri Khair, Asdaqul Rohjai Badarudin Totok Heru TM, Totok