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Penerapan Metode Klasifikasi dan Seleksi Fitur untuk Meprediksi Minat Studi dan Karir Siswa: (Studi Kasus SMK Se-Kabupaten Kudus) Aditia Candra Kusuma; Eka Ardhianto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.7814

Abstract

Every year, vocational high schools in Kudus Regency produce competitive graduates in the national and international job markets, because vocational high school graduates must be equipped with technical skills and soft skills. However, students face a dilemma in determining the next step in choosing a study interest or career. In addition, several factors influence student interests, one of which is family beckground, so that students who were initially sure will become unsure of their interests. Therefore, the purpose of this study is to classify student interests. The use of classification methods with the naïve bayes algorithm and feature selection with forward selection was chosen in this study. Classification model testing was carried out three times with a comparison of training data and test data (90:10, 80:20, and 70:30), where the results obtained had an average accuracy value of 72.85%, an averagr precision velue of 77.75%, and an average recall value of 86.43%. the classification results are continued with the application of forward selection to find influential attributes, and the results of feature selection show that major attribute, achievement attributes, and mathematics value attributes have an influence on student interest.
SYSTEMATIC LITERATURE REVIEW KERENTANAN LANSIA TERHADAP SERANGAN PHISHING PADA SISTEM DANA PENSIUN DIGITAL Hanacahyani Widya Asih; Lintang Amarul Fatah; Mukti Diananingsih; Djoko Pitoyo; Eka Ardhianto; Aji Supriyanto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8356

Abstract

The digital transformation of financial systems has improved efficiency while simultaneously expanding the cybersecurity attack surface, particularly for phishing threats in pension fund distribution. Elderly individuals, as primary beneficiaries, are considered highly vulnerable due to limited digital literacy, cognitive decline, and a strong trust bias toward authority. This study aims to identify phishing attack patterns, risk factors, and effective mitigation strategies targeting elderly populations through a Systematic Literature Review (SLR) approach following the PRISMA framework. Literature was sourced from IEEE Xplore, Scopus, SpringerLink, and Google Scholar (2015–2025). A total of 120 articles were initially identified, with 35 studies meeting the inclusion criteria after rigorous screening. The findings indicate that elderly individuals are particularly susceptible to email phishing, smishing, and vishing, with significantly higher success rates compared to younger populations. Key contributing factors include low cybersecurity literacy, cognitive limitations, trust bias, and non-inclusive interface design. Effective mitigation strategies include user-centered security design, biometric multi-factor authentication (MFA), and simulation-based security training. This study contributes to a comprehensive risk mapping of phishing threats among elderly pension beneficiaries and provides actionable insights for designing more secure and inclusive digital pension systems.
Co-Authors Aditia Candra Kusuma Aji Supriyanto Ajie, Ach. Ridlo Bayu Aldri Frinaldi Antoni Yohanes Aprico, Fikky Apriyanti, Dewi Ardiyanto, Roni Budi Hartono Caesar, Yulius Bagus Cahaya, Agus Indra Chatarina Umbul Wahyuni Damas Alfiqhyanto Dian Kristiawan Nugroho Didik Nugroho Dinata, Benny Martha Djoko Pitoyo Edy Safriliyanto Edy Supriyanto Edy Supriyanto Edy Supriyanto Edy Winarno Eko Nur Wahyudi Eko Riyanto EKO WAHYUDI Eksawati, Rini Endang Lestariningsih Enty Nur Hayati Feliatra Felix Andreas Sutanto Fitika Andraini Fitika Andraini Hanacahyani Widya Asih Handoko, Widiyanto Hari Murti Hari Murti Hasda Nuril Mala Heni Candra Kirana Heribertus Yulianton Hidayat, Suluh Himawan Wicaksono Imam Husni Al Amin Kirana, Heni Candra Krisnawati, Ela Kristianto, Taufik Fredy Kristophorus Hadiono Lintang Amarul Fatah Liswintiawati, Ida Luh Putu Ratna Sundari Mukti Diananingsih Murti, Hari Nabila Zahro Naomi Simatupang, Dameria Oktaviany, Fenny Fitria Okviandre Yoga Putra Palupi, Dian Penunjang Waruwu Perdana, Willy Yudha Prasetya, Febri Adi Prasetya Prayuga Dwi Fatchuli Purba, Meilianicha Trivania Purwono R. Soelistijadi Rafidian Salmana Tamimi Raharjo, Fajar Rahma, Salsabella Rara Redjeki Rara Sri Artati Redjeki Redjeki, Rara Redjeki, Rara Sriartati Rizki Kurniawan, Alnando Rizqi Setyawan, Raffly S.Pd. M Kes I Ketut Sudiana . Safii, Mochamad Yunaidi Saputra, Roni Halim Saputro, Risky Wisnu Sariyun Naja Anwar Sarwo Edi, Sarwo Siti Sholihah Ari Susanti Soelistijadi, Soelistijadi Sri Eniyati Sri Lestari Ratna Anugraheni Supriyanto, Edy Supriyatno, Alfaruq Marsalsani SUTANTO, FELIX Sutrasno Andre Wibowo Sutrasno Andre Wibowo* Syahfiar, Nabil Theresia Dwiati Wismarini Veronica Lusiana W. T. Handoko W.T. Handoko Wahyudi, Eko Nur Wibowo*, Sutrasno Andre Widianto Tri Handoko Widiyanto Handoko Widiyanto Tri Handoko Wijayanti Pujadi, Vera Wijayanto, Wendhie Tri Wiratno, Amat Wismarini, Th Dwiati Wismarini, Theresia Wiwien Hadikurniawati WT Handoko Zuly Budiarso