Article Per Year (5 Year)
p-Index From 2020 - 2025
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This Author published in this journals
All Journal Journal of Educational, Health and Community Psychology Journal of Innovation Information Technology and Application (JINITA)
Suatmi Murnani
Universitas Islam Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Public Health

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Involving Engineering Student in Community-Based Project: A Qualitative Study Yusuf Aziz Amrulloh; ufi fatuhrahmah; Suatmi Murnani
Journal of Educational, Health and Community Psychology Vol 12 No 4 December 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jehcp.v12i4.27007

Abstract

Various studies on educational approaches explore the solution to fill the gap between education and society's demands. Specifically in the engineering field, addressing this gap is particularly urgent because previous research indicated that engineering graduates experienced this problem more frequently. On the other hand, our community needs them since engineering is the driver of innovation and community change. Community-based projects, combining community-based research and project-based learning approaches, are potential approaches to meet this purpose, although more research is needed. This study aims to explore students' experiences while involved in community-based projects, including the processes, experiences, feelings, and values obtained during the project. This study used a qualitative approach using an open-ended questionnaire and interviews with 39 engineering students. The results of the study show three main stages in a community-based project in the field of engineering and positive results in terms of cognitive, affective, skills, and values. The dynamics of the process and the potential for community-based project development are provided in the discussion and conclusion section.
An Intelligent System for Light and Air Conditioner Control Using YOLOv8 Ikharochman Tri Utomo; Muhammad Nauval Firdaus; Sisdarmanto Adinandra; Suatmi Murnani
Journal of Innovation Information Technology and Application (JINITA) Vol 6 No 2 (2024): JINITA, December 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v6i2.2446

Abstract

High energy consumption in classrooms is a significant concern, often resulting from inefficient lighting and air conditioning systems. Specifically, the problem lies in the lack of automated control mechanisms that adjust energy use based on real-time occupancy data. This study aims to develop and evaluate a system that employs a camera integrated with the YOLOv8 algorithm to detect human presence and optimize energy usage by controlling lights and air conditioning. The system's performance was assessed in three different classroom environments: two large and one small. The system's accuracy for occupancy detection varied from 13.64% to 100%, depending on lighting conditions and room size. Light control accuracy was highest in the classrooms with consistent lighting, reaching 99.77%. Air conditioning control achieved perfect accuracy of 100% in the classroom with a SHARP brand AC, with a maximum remote-control range of 7 meters. These findings indicate that the system's performance is influenced by lighting conditions and room size, with smaller rooms showing better results. The system demonstrates promising potential for reducing energy consumption in classroom settings, thereby contributing to more sustainable energy practices.
Co-Authors Ikharochman Tri Utomo Muhammad Nauval Firdaus Sisdarmanto Adinandra, Sisdarmanto Ufi Fatuhrahmah Yusuf Aziz Amrulloh