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All Journal Nivedana : Jurnal Komunikasi dan Bahasa Enggang: Jurnal Pendidikan, Bahasa, Sastra, Seni, dan Budaya Jurnal Sosial Humaniora dan Pendidikan (JUSHPEN) Jurnal Pengabdian Masyarakat Waradin Jurnal Pengabdian Dian Mandala Indonesian Journal of Humanities and Social Sciences International Journal of Environmental Communication (ENVICOMM) Journal of New Trends in Sciences KREATIF: Jurnal Pengabdian Masyarakat Nusantara ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Sinov : Media Informasi Penelitian Kabupaten Semarang
Tatik Wakhidati Purwaningsih
Institut Nalanda, Jakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Penggunaan Statistika Bayes dalam Menganalisis Pola Suara Pemilu untuk Mendeteksi Potensi Kecurangan Tatik Purwaningsih; Yelini Fan Hardi
Journal of New Trends in Sciences Vol. 3 No. 1 (2025): Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v3i1.748

Abstract

Election integrity is a key element in ensuring democratic legitimacy, yet election fraud remains a significant threat to this process. This research aims to evaluate the use of Bayesian statistics in detecting anomalies in vote distributions that may indicate potential election fraud. In the context of elections, whose reliability is often questioned, statistical analysis becomes crucial to ensure transparency and credibility in election results. This study uses national election data collected from various polling stations (TPS), focusing on vote distribution per candidate in each TPS. A Bayesian probabilistic model is applied to analyze the observed vote distribution compared to the expected distribution. By using Bayesian inference, researchers can update the probability distribution based on the obtained data, allowing for more accurate anomaly identification. The analysis results show significant deviations in several TPS, where the observed vote distribution exhibits patterns inconsistent with the expected distribution. These anomalies are suspicious as they may indicate manipulation or errors in the vote counting process. The implications of this research suggest that the Bayesian method can be used to improve election transparency and provide a more reliable tool for detecting fraud. The future application of this technique can help increase public trust in election results and support the integrity of the democratic process. This study also recommends further development of the analytical model to expand the scope of anomaly detection and enhance fraud detection accuracy in larger and more complex elections.
PERAN LITERASI DIGITAL DAN BIG DATA DALAM MENCEGAH HOAX JELANG PEMILU 2024 Arnold Surya Nugroho; Nurul Hidayat; Ria Restina Robiyanti; Tatik Purwaningsih
Media Informasi Penelitian Kabupaten Semarang Vol. 4 No. 2 (2022): Desember: Media Informasi Penelitian Kabupaten Semarang
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sinov.v4i2.596

Abstract

Social media, which should be used to provide literacy so that Indonesian people understand politics, is actually used by some people as a medium for propaganda and provocation to bring down political opponents, one of which is through the spread of hoax news. The aim of this research is to find out more about the role of digital literacy and big data in preventing hoaxes ahead of the 2024 election. This research is library research which was carried out using literature, whether in the form of books, notes or reports of previous research results. The results of this research show that digital literacy and the use of big data can have a significant influence in minimizing the spread of hoax news. Furthermore, the presence of big data can help political groups better understand voting preferences and run more effective political campaigns by using it in general elections
Co-Authors Abdul Kholik Aming Suherman Arnold Surya Nugroho Arnold Surya Nugroho Dharmika Pranidhi Dian Putra Atmaja NURUL HIDAYAT Nurul Hidayat Nurul Hidayat Phuah Kit Teng Ria Restina Robiyanti Robiyanti, Ria Restina Yelini Fan Hardi