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All Journal Jurnal Kybernan Jurnal Perpustakaan Pertanian Journal of Islamic Pharmacy Integritas: Jurnal Antikorupsi DoubleClick : Journal of Computer and Information Technology JURNAL PETIK Jurnal Informasi dan Komputer JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Negara Hukum: Membangun Hukum untuk Keadilan dan Kesejahteraan ADLIYA: Jurnal Hukum dan Kemanusiaan Jurnal Loyalitas Sosial: Journal of Community Service in Humanities and Social Sciences Altasia : Jurnal Pariwisata Indonesia Tematik : Jurnal Teknologi Informasi Komunikasi ATRABIS: Jurnal Administrasi Bisnis (e-Journal) Jurnal Health Sains Journey : Journal of Tourismpreneurship, Culinary, Hospitality, Convention and Event Management Shar-E: Jurnal Kajian Ekonomi Hukum Syariah Indonesia Private Law Review Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Jurnal Pengabdian Masyarakat Indonesia Jurnal Politica Dinamika Masalah Politik Dalam Negeri dan Hubungan Internasional Jurnal Teknologi Sistem Informasi Joutica : Journal of Informatic Unisla Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Indonesian Journal of Cancer CoMPHI Journal : Community Medicine and Public Health of Indonesia Journal Jurnal Hukum dan Peradilan Digital Transformation Technology (Digitech) Libraria: Ilmu Perpustakaan dan Informasi Junior Medical Journal Journal of Business and Political Economy: Biannual Review of The Indonesian Economy Review Propeller The Prosecutor Law Review Jurnal Kesehatan Kartika Jurnal Keadilan Pemilu Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat CEFARS : JURNAL AGRIBISNIS DAN PENGEMBANGAN WILAYAH Jurnal Agribisnis dan Pengembangan Wilayah Berkala Ilmiah Kedokteran dan Kesehatan Masyarakat
Rita Komalasari
Perpustakaan Institut Pertanian Bogor Jalan Meranti, IPB Kampus Dramaga, Bogor 16681 Telp. (0251) 8621073, Faks. (0251) 8623166
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Jurnal Keadilan Pemilu

 1 
PENGUATAN INTEGRITAS PEMILU: PENDEKATAN INOVATIF MEMANFAATKAN MESIN PEMBELAJARAN UNTUK MENDETEKSI KECURANGAN Komalasari, Rita; Mustafa, Cecep
Jurnal Keadilan Pemilu Vol. 5 No. 1 (2024): Jurnal Keadilan Pemilu
Publisher : Bawaslu Provinsi Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55108/jkp.v5i1.434

Abstract

This study explores the development and implementation of machine learning (ML) models designed to detect patterns indicating electoral fraud. The aim of this study is to address existing gaps in the literature by integrating advanced ML algorithms, leveraging various data sources, developing real-time monitoring systems, ensuring model transparency, and addressing ethical considerations. The main argument is that ML provides a robust and adaptive approach to enhance the accuracy and efficiency of detecting electoral fraud. This research employs a comprehensive analysis using Systems Theory to integrate and optimize the various components involved in detecting electoral fraud. The study also develops real-time monitoring systems and incorporates methods for model interpretability and transparency. Ethical and practical challenges are addressed through thorough analysis and the provision of guidelines for responsible implementation. The study demonstrates that machine learning significantly improves the detection of electoral fraud by identifying complex and subtle patterns that may be overlooked by traditional methods. The integration of various data sources and real-time monitoring enhances the resilience and timeliness of fraud detection. Ensuring model transparency and addressing ethical considerations helps build trust and accountability in the electoral process. Overall, this research provides a comprehensive solution that enhances the accuracy, efficiency, and trust in detecting electoral fraud, thereby supporting the integrity of the democratic process.
Co-Authors Adilah Rifat Hakimah Adriza, Adriza Ahmad Nawawi Andina Dwijayanti Budi Harto Budiman, Diaz Viera Bukhari, Bilal Fiqri Cahyadi Dandun Widhiantoro Deyang Maysa Dhea Putri Ardita Evry, Nur Isnaeni Falahah . Faturizky, Bintang Ramadhana Hadi Putri, Camila Irianti Helmi Fahmi Fauzi Hidayat, Vasha Annisa Hilmi, Arif iswanto Laila Felicia Lucy Maulidya Sari, Siti Maulidya, Siti Melinda, Linda Daniati Mustafa, Cecep Novianti Indah Putri Nurazizah, Fahira Pramesti, Puji Rani Rantika Raysha Damatri Rasyad Roro Santi Saifullah, Razid Alfa Saputri, Rya Ervita Rachma Siti Helmyati Siti Maulidya Sari Sriharyati, Santy Sulaswati, Dinni Sumarni, Teti Suryani, Ai Tiya Yulia Fauziyah Yusnita Zen Munawar