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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia JIIP (Jurnal Ilmiah Ilmu Pendidikan) Jurnal PIKMA : Publikasi Ilmu komunikasi Media dan Cinema Jurnal Multidisiplin Madani (MUDIMA) Indonesian Journal of Society Development (IJSD) Innovative: Journal Of Social Science Research
Soelistyowati, Rr Dinar
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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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The Algorithm of Digital Technology for Communication Soelistyowati, Rr Dinar; Ekowati, Sri
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.10930

Abstract

This paper explores effectively utilize digital technology for a campaign or communication. A solid algorithm-driven approach can be implemented to ensure data-driven decisions, targeted messaging, and high engagement. Citizens can easily actively disseminate political issues through existing social media platforms. This research uses descriptive research with a qualitative approach with a literature study approach. The data collection technique in this research is to conduct a literature search that is current and compatible with the research theme.  The results of the study show that social media plays an important role in political participation in the digital era. Digital technology can also trigger opinion polarization.  Political participation in the digital era has positive impacts and real challenges that must be addressed properly and wisely. Awareness of digital literacy and being critical are the main keys to maintaining inclusive political participation in this digital age. Collect data from social media, surveys, website analytics, and polling. Ensure that the data collected adheres to privacy and data protection regulations. Use machine learning algorithms like k-means clustering to segment the audience based on demographic, psychographic, geographic, and behavioral factors. Based on the segmentation, create voter personas (such as "young urban voters" or "female first-time voters") to tailor campaign messages effectively. Use natural language processing (NLP) to analyze sentiments around PSI and specific campaign topics. This will help identify areas of improvement and potential voter concerns. Employ tools like IBM Watson or Google Cloud Natural Language to monitor conversations around key issues and track public sentiment in real time.
Co-Authors Ari Sulistyanto Azra Rifai, Muhammad Irfan Dwinarko Ekowati, Sri Ghifar, Ghazy Muhammad Hendryansyah, Haldy Munggaran, Hauzan Akmal Nurwulan, Titis Oktapiana, Alysa Permana, Septian Arief Saputra, Alvin Surya Saputra, Fajar Ilham Setiawan, Turino SJAFRIZAL, TABRANI -