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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Computers and Digital Business
Widya Afriani
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Computer Science & IT Decision Sciences, Operations Research & Management Other

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DIMENSI ETIKA DAN FILOSOFI PENDIDIKAN DALAM PEMANFAATAN ARTIFICIAL INTELLEGENCE DI UPT SPF SDN TAMAMAUNG I KOTA MAKASSAR Fina Melani Putri; Widya Afriani; Eka Melisa; Nurna Ningsih; Burhan; Nurwidyayanti
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.47750

Abstract

The development of Artificial Intelligence in elementary education presents both opportunities and challenges, particularly because its use is not only related to learning effectiveness but also concerns the development of students’ character, learning ethics, and humanistic values. This study aims to describe and understand the ethical dimensions and educational philosophy underlying the utilization of Artificial Intelligence at UPT SPF SDN Tamamaung I. This research employed a qualitative approach with a phenomenological design, as it focused on the experiences, perspectives, and interpretations of participants regarding the use of Artificial Intelligence in the context of elementary education. The research subjects were selected purposively, consisting of the principal and teachers who possessed experience or knowledge related to the implementation of Artificial Intelligence in teaching and learning activities. Data collection techniques included in-depth interviews, observations, and documentation, while the data were analyzed using phenomenological analysis through meaning categorization, identification of essential themes, and interpretation of the core experiences of the participants. The findings revealed that Artificial Intelligence is perceived as a supportive learning tool that can assist teachers in searching for information, developing teaching materials, and enriching instructional variations. However, its implementation also raises ethical concerns, such as the potential for student dependency, decreased learning autonomy, issues of academic honesty, and the protection of personal data. From the perspective of educational philosophy, Artificial Intelligence is not viewed as a replacement for teachers, but rather as a tool that must be utilized selectively, responsibly, and consistently oriented toward character building, human values, and pedagogical relationships. Therefore, the use of Artificial Intelligence in elementary schools should be guided through teacher supervision and clear school policies to ensure alignment with the humanistic goals of education.
Multi-Objective EV Routing with Recharging, Battery-Swapping, and K-Means Station Siting for Ride-Hailing Fleets in Medan City Widya Afriani; Fibri Rakhmawati
Journal of Computers and Digital Business Vol. 5 No. 3 (2026): Articles in Press
Publisher : PT. Delitekno Media Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i3.1054

Abstract

Electric vehicle adoption requires routing strategies that address travel efficiency and battery-energy constraints. This study develops a Multi-Objective Electric Vehicle Routing Problem (EVRP) model for two-wheeled electric ride-hailing services in Medan City, Indonesia. The model minimizes total travel distance and operational energy cost while incorporating recharging and battery-swapping strategies and identifying candidate sites for public charging stations (SPKLU) and battery-swapping stations (SPBKLU). It integrates route construction, battery-energy feasibility, recharge–swap assignment, multi-objective evaluation, and spatial clustering within one decision-support framework. Secondary data comprise one depot, 200 service points, four existing SPKLU, and nine existing SPBKLU. The Clarke–Wright Savings algorithm generates six routes, while the State of Charge (SOC) model evaluates battery feasibility. Twenty recharge–swap assignments are evaluated using the weighted sum method, and Pareto analysis identifies five non-dominated solutions. Under the cost-oriented weighting scenario, recharging is assigned to Routes 1, 4, and 6 and battery swapping to Routes 2, 3, and 5, yielding a travel distance of 327.79 km and an operational cost of IDR 39,131. This solution requires four SPKLU and three SPBKLU points, which K-Means clustering reduces to three and two candidate locations, respectively, providing guidance for battery-replenishment infrastructure planning.
Co-Authors Burhan Eka Melisa Fina Melani Putri Nurna Ningsih Nurwidyayanti Rakhmawati, Fibri