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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Repeater: Publikasi Teknik Informatika dan Jaringan
Adhistya Aulia DH
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Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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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
Penentuan Penerima Beasiswa Menggunakan Metode Fuzzy Tsukamoto Sri Bintan; Adhistya Aulia Dh; Khairul Shaleh
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 1 (2026): Januari: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v4i1.800

Abstract

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.
Co-Authors Ferry Cahyadi Fikri Vahriza Ilham Habinsaran Khairul Shaleh Muhammad Yasin Seprina Aulia Putri Sri Bintan Syahrul