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All Journal Jurnal Komprehenshif Inventa: Journal of Science, Technology, and Innovation
Gilang Kurnia Rambe
Universitas Labuhanbatu
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Sistem Pendukung Keputusan Pemilihan Rumah Kos untuk Mahasiswa di Rantauprapat Menggunakan Metode SAW Vinna Olymphyani; Anggi Putri Khatami Simbolon; Gilang Kurnia Rambe; Ridwan Hafiz Ritonga
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/q5636669

Abstract

Selecting a boarding house is a critical issue for students living away from home, as it involves various multi-criteria considerations—such as location, price, facilities, and security—that are often difficult to evaluate objectively using conventional approaches. This study aims to design and implement a Decision Support System for selecting student boarding houses in Rantauprapat using the Simple Additive Weighting (SAW) method. The study employs an empirical approach based on system development through the following stages: user needs identification, determination of criterion weights, formation of a decision matrix, data normalization, and calculation of preference values to generate a ranking of student housing alternatives. The results indicate that the SAW method effectively integrates cost and benefit attributes systematically, thereby producing objective and consistent recommendations for student housing. The validation process demonstrated consistency between manual calculations and system outputs, while effectiveness testing revealed high user satisfaction regarding the accuracy of recommendations and the efficiency of data processing. The developed system is deemed capable of supporting students’ decision-making processes more quickly, transparently, and adaptively to user needs.  
Analisis Keamanan Akun Instagram Mahasiswa Terhadap Ancaman Phishing Vinna Olymphyani; Anggi Putri Khatami Simbolon; Gilang Kurnia Rambe; Ridwan Hafiz Ritonga; Sahat Parulian Sitorus
Komprehensif Vol 4 No 1 (2026)
Publisher : CV Edu Tech Jaya

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

Abstract

Perkembangan penggunaan media sosial, khususnya Instagram, di kalangan mahasiswa telah meningkatkan risiko terjadinya berbagai ancaman keamanan siber, salah satunya phishing. Penelitian ini bertujuan untuk menganalisis tingkat keamanan akun Instagram mahasiswa terhadap ancaman phishing dengan meninjau aspek pengetahuan phishing, kemampuan mengenali tautan mencurigakan, kesadaran keamanan digital, penggunaan kata sandi yang kuat, autentikasi dua faktor (2FA), dan perlindungan data pribadi. Metode penelitian yang digunakan adalah kuantitatif deskriptif dengan pengumpulan data melalui kuesioner berbasis skala Likert yang disebarkan kepada mahasiswa pengguna Instagram. Data dianalisis menggunakan statistik deskriptif untuk mengukur tingkat keamanan akun dan tingkat kerentanan terhadap phishing. Hasil penelitian menunjukkan bahwa bentuk ancaman phishing yang paling sering ditemukan meliputi pesan palsu, tautan phishing, akun tiruan, dan penawaran hadiah palsu. Tingkat keamanan akun mahasiswa berada pada kategori tinggi sebesar 42%, kategori sedang sebesar 38%, dan kategori rendah sebesar 20%. Selain itu, ditemukan hubungan berbanding terbalik antara tingkat keamanan akun dan risiko menjadi korban phishing. Semakin baik penerapan praktik keamanan digital, semakin rendah risiko serangan phishing. Penelitian ini menyimpulkan bahwa peningkatan literasi keamanan digital dan pemanfaatan fitur keamanan akun secara optimal sangat penting untuk melindungi akun Instagram mahasiswa dari ancaman phishing.
Co-Authors Anggi Putri Khatami Simbolon Ridwan Hafiz Ritonga Sitorus, Sahat Parulian Vinna Olymphyani