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Valian Yoga Pudya Ardhana
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Aplikasi Survei Kerawanan Pemilu Berbasis Web Menggunakan Metode SDLC Valian Yoga Pudya Ardhana; M. Dermawan Mulyodiputro; Lilik Hidayati
INSOLOGI: Jurnal Sains dan Teknologi Vol. 3 No. 1 (2024): Februari 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v3i1.3188

Abstract

Election vulnerability refers to the potential for interference, fraud, or threats to the integrity and democratic process in a general election. This can include certain variations such as vote manipulation, voter intimidation, misuse of state resources, as well as other legal violations that can affect the fairness and validity of election results. The solution to overcome vulnerabilities in elections is to use a survey application. The existence of an election vulnerability survey application is an effort to obtain more accurate and faster data and information regarding vulnerabilities in the implementation of general elections (elections). The election vulnerability survey application is a tool that helps minimize the risk of insecurity and improves the integrity and quality of elections in implementing democratic principles. By using this technology and application, it is hoped that monitoring and supervision of election vulnerabilities can be carried out more effectively and efficiently. The information collected can be processed quickly and accurately, so that it can provide. Testing the questionnaire involved 10 admins and respondents who were surveyors and respondents who would be surveyed and it was found that this election vulnerability survey application had been tested well and was successful.
Implementasi Metode Collaborative Filtering Pada Penilaian Kamar Kos di Website KosLombok SABARDI; Danang Tejo Kumoro; Valian Yoga Pudya Ardhana
SainsTech Innovation Journal Vol. 8 No. 1 (2025): SIJ VOLUME 8 NOMOR 1 TAHUN 2025
Publisher : LPPM Universitas Qamarul Huda Badaruddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37824/sij.v8i1.2025.785

Abstract

Perkembangan teknologi informasi telah mempermudah akses terhadap informasi yang relevan, termasuk dalam pencarian tempat tinggal sementara seperti kamar kos. Namun, banyak pendatang, terutama di daerah seperti Nusa Tenggara Barat, masih kesulitan menemukan kos yang sesuai dengan preferensi mereka karena keterbatasan informasi. Penelitian ini bertujuan untuk mengimplementasikan metode Collaborative Filtering pada website KosLombok untuk memberikan rekomendasi kamar kos yang dipersonalisasi kepada pengguna. Metode pengembangan sistem yang digunakan adalah Extreme Programming (XP) yang mencakup tahapan planning, design, coding, dan testing. Sistem ini memanfaatkan data historis dan penilaian dari pengguna untuk menghasilkan rekomendasi. Hasil dari penelitian ini adalah sebuah sistem rekomendasi yang mampu menyajikan pilihan kamar kos yang sesuai dengan keinginan pengguna berdasarkan harga, fasilitas, dan lingkungan dari riwayat pengguna lain. Hasil perhitungan kemiripan antar pengguna menunjukkan nilai rata- rata yang sangat tinggi, dengan pengguna 104 mencapai nilai tertinggi yaitu 0.999, yang mengindikasikan bahwa metode Collaborative Filtering efektif dalam memberikan rekomendasi yang akurat. Diharapkan sistem ini dapat meminimalkan waktu pencarian dan mengurangi biaya yang dikeluarkan oleh calon penyewa kos.
Co-Authors Danang Tejo Kumoro Lilik Hidayati, Lilik Muhammad Dermawan Mulyodiputro SABARDI