Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) APPA : Jurnal Pengabdian Kepada Masyarakat
Alfino Nicolas Prasetya
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PEMAHAMAN WEB PHISHING: STRATEGI KESADARAN DAN PENGAMANAN DATA YANG EFISIEN Alfino Nicolas Prasetya; Muhammad Aji Faturahman; Muhammad Faisal; Raihan Hasbi Hilal; Rico Fadillah; Rico Jawi; Teuku Alif Rican Aldian; Wanda Alpiyandi
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 4 (2024): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Web phishing adalah taktik penipuan daring yang mengancam keamanan data pengguna dengan menyamar sebagai entitas tepercaya. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman siswa/i Sekolah Menengah Kejuruan (SMK) Al Amanah terhadap ancaman web phishing serta strategi pengamanan data yang efisien. Metode yang digunakan meliputi seminar, workshop, dan simulasi serangan phishing. Hasil evaluasi menunjukkan peningkatan pemahaman siswa/i terhadap strategi pengamanan data hingga 85%. Kegiatan ini mendapatkan tanggapan positif dari siswa/i sebagai langkah edukasi penting untuk menghadapi ancaman digital.
Web-Based Decision Support System for Paskibra Member Selection Using the Fuzzy Sugeno Method Alfino Nicolas Prasetya; Maulana Fansyuri
SAINTEKBU Vol. 18 No. 02 (2026): August 2026 (In Press)
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/1xk0vj96

Abstract

This study designed and built a web-based Decision Support System (DSS) that applied the Fuzzy Sugeno method to support Paskibra member selection at the district level, where manual scoring had left qualitative criteria such as the interview without a firm boundary between eligibility categories. Three criteria were used: Height, Knowledge Test Score, and Interview Score. Sugeno was selected because its rule consequents were crisp values, which allowed a lightweight weighted-average defuzzification instead of the heavier defuzzification required by Mamdani. The system was built with PHP, MySQL, and Bootstrap, converting each criterion into fuzzy membership degrees and evaluating a configurable IF-THEN rule base to produce a final score. Testing combined Black Box Testing across ten functional modules and White Box Testing with cyclomatic complexity analysis on the core calculation module. The Black Box results showed all modules functioned as intended, while the White Box analysis yielded a cyclomatic complexity of V(G) = 3, with all three independent paths executing without logical error. The resulting system offered selection committees a traceable, rule-based alternative to manual scoring, in which criteria weighting could be adjusted through the rule base rather than through code changes.
Co-Authors Maulana Fansyuri Muhammad Aji Faturahman Muhammad Faisal Raihan Hasbi Hilal Rico Fadillah Rico Jawi Teuku Alif Rican Aldian Wanda Alpiyandi