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Sosialisasi untuk Pengembangan Website Klasifikasi Sampah Dinas Lingkungan Hidup dan Kebersihan (DLHK) di Kota Depok Sari Ningsih; Panca Dewi Pamungkasari; Asrul Sani; Erina Rahmazani; Lili Dwi Yulianto; Ferdiansyah Ferdiansyah; Ghina Rahma; Muhammad Mustaqim; Muhammad Rangga
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 2 No. 3 (2025): Juli : Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v2i3.1998

Abstract

This Community Service Program (PKM) aims to enhance the understanding of the staff at the Environmental and Sanitation Agency (DLHK) of Depok City in utilizing information technology through socialization and training on the development of a waste classification website. The website is designed to assist the public in identifying types of waste and to encourage more responsible and integrated waste management practices. The implementation methods for this program include socialization sessions, technical training workshops, and system usage demonstrations. Participants were introduced to the functionalities of the website, including how to classify various waste types and its role in supporting environmental sustainability. The program also provided hands-on training to ensure the staff could effectively use the website and incorporate it into their daily tasks. As a result, the staff’s understanding of the concept of digital-based waste classification has significantly increased. Additionally, the potential benefits of using such technology to support sustainable environmental management programs were clearly recognized. The program not only enhanced the staff's technical skills but also contributed to a deeper understanding of the importance of waste classification in the broader context of environmental conservation. The outcomes of this initiative are expected to encourage the staff to actively promote the use of the website to the public, thus fostering a more responsible and efficient waste management system in Depok City. This program demonstrates the effectiveness of integrating technology in supporting local government initiatives aimed at improving environmental management and sustainability. Furthermore, it underscores the importance of digital tools in modernizing waste management systems and enhancing public awareness and engagement.
Web Sosialisasi Deteksi Anomali Kapal Menggunakan Kecerdasan Buatan Sari Ningsih; Panca Dewi Pamungkasari; Babag Purbantoro; Asif Awaludin; Deni Yulian; Ira Diana Sholihati; Lili Dwi Yulianto; Erina Rahmazani; Muhammad Zahran Alfarizi
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 3 No. 1 (2026): Februari : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v3i1.2972

Abstract

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization