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All Journal Jurnal Computer Science and Information Technology (CoSciTech) Mekongga: Jurnal Pengabdian Masyarakat
Marisa Midyanti, Dwi
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Computer Science & IT Social Sciences Other

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Utilization of Artificial Intelligence as a Tool to Assist in Preparation of School Learning Materials on the West Kalimantan Border Ristian, Uray; Ruslianto, Ikhwan; Bahri, Syamsul; Hidayati, Rahmi; Rismawan, Tedy; Suhery, Cucu; Marisa Midyanti, Dwi; Nirmala, Irma; Suhardi; Hasfani, Hirzen; Sari, Kartika; Kasliono; Muhardi, Hafiz
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2025): April 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v2i1.217

Abstract

The use of Artificial Intelligence (AI) as a tool in compiling learning materials in schools has great potential to improve the quality of education, especially in border areas that are often faced with challenges of accessibility and availability of resources. This community service activity aims to fulfill the Tri Dharma of Higher Education by providing contributions to the community while assisting teachers in utilizing AI tools. Through a preliminary study, a needs mapping was carried out together with teachers of SDN 03 Balai Karangan to ensure that the development of AI tools is relevant to learning needs on the West Kalimantan border. The development of this AI tools integrates natural language processing technology to produce learning materials that are in accordance with the curriculum and local characteristics. After development, the AI ??tools is disseminated and practiced in the school environment. It is hoped that through this activity, teachers at SDN 03 Balai Karangan on the West Kalimantan border will be better able to compile quality and relevant learning materials with the help of AI tools, can improve the quality of education and provide real benefits to local students.
Waktu Respons Transmisi Data Dalam Impelentasi Algoritma A-Star Pada Sistem Pengambilan Tempat Sampah IoT Berbasis Telegram Sabuna, Sasridarti Tari Sejahtera; Marisa Midyanti, Dwi; Kasliono, Kasliono
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10393

Abstract

Effective waste management requires an efficient monitoring system and collection route determination. One of the main challenges is the delay in delivering information that is not yet integrated into an automated schedule. To address this, this research designs an IoT-based waste bin monitoring and collection route determination system using the A-Star algorithm, as this algorithm can efficiently determine routes by considering the distance between nodes as well as the waste volume conditions. The system is equipped with a website that displays the waste volume conditions at each node, with the resulting routes sent to officers via the Telegram platform. The focus of this research is to analyze the system's performance, specifically the data transmission response time, which is defined as the time span starting from when the sensor detects the waste volume, data is sent by the ESP32 to the server, the server processes the algorithm, until the route information or notification is received by the user. The results show that the average processing time of the A-Star algorithm on the server is 0.0135 s, the average data transmission delay is 1.2659 s or 1265.9 ms, which is categorized as POOR based on the TIPHON standard, and the average system update time is 6.38473 s.
Co-Authors Cucu Suhery Hafiz Muhardi Hirzen Hasfani Ikhwan Ruslianto Kartika Sari Kasliono Kasliono Nirmala, Irma Rahmi Hidayati Sabuna, Sasridarti Tari Sejahtera Suhardi Syamsul Bahri Tedy Rismawan Uray Ristian