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Pengelompokkan Daerah Rawan Bencana di Indonesia Menggunakan Metode Clustering K-Means Seprina Aulia Putri
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 1 (2025): Januari: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i1.644

Abstract

Indonesia is a country with a high level of disaster vulnerability, influenced by tectonic activity and its tropical climate. This study uses the K-Means clustering method to identify and group disaster-prone areas based on the level of vulnerability. The data used included average temperature (Tavg) and rainfall (RR) which were processed using Python. The analysis process includes data collection, pre-processing, determination of key features, and evaluation of clustering quality using the Elbow and Silhouette Score methods. The results of the grouping show two main patterns, namely flood-prone areas and drought-prone areas. These findings are expected to support the government in more effective and data-based disaster mitigation planning.
Sosialisasi Keamanan Digital dan Pencegahan Kejahatan Siber di SMAN 1 Air Joman : Pengabdian Muhammad Yasin; Seprina Aulia Putri; Adhistya Aulia DH; Syahrul; Ferry Cahyadi; Ilham Habinsaran; Fikri Vahriza
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.2873

Abstract

KKN (Real Work Lecture) is a community service program in which students apply their academic knowledge in real-world contexts. One of the initiatives carried out was a digital security awareness program at SMAN 1 Air Joman, designed to improve students’ understanding, pratical skills, and awareness in dealing with cybercrime threats. This study used a descriptive method with pre-test and post-test questionnaires distributed to 40 eleventh-grade students. The results showed significant improvements in three areas. In knowledge, students’ understanding of personal data protection, types of cybercrime, and the ability to identify hoaxes increased from an average of 35-30% to 85-90%. In practice, the use of strong passwords, two-step verification, and caution toward suspicious links rase from 28-42% to 78-92%. In awareness, students intending to apply digital safety in daily life grew from 37% to 93%, and 95% found the program highly beneficial. These findings indicate that KKN-based socialization effectively prevents cybercrime and is worth continuing as a sustainable school program highly beneficial. These findings indicate that KKN-based socialization effenctively prevents cybercrime and is worth continuing as a sustainable school program