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Understanding Political Narratives: Word Cloud Analysis of Yoon Seok-Yeol's Impeachment Sinta Rahmadani; Imam Yuadi
Journal of Law, Politic and Humanities Vol. 5 No. 4 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i4.1427

Abstract

This study uses computational text analysis to analyze political rhetoric in the context of the impeachment of South Korea’s former president and chief prosecutor Yoon Seok-yeol. This Project analyzes statements of ten different international media outlets a month prior to the impeachment held in December 2024 through nexus tools within multi dimensional scaling and word clouds. The study illuminates startling issues South Korea is currently grappling with, and how stark the media’s influence is on public perception by exhibiting political themes such as “impeachment”, “martial law”, “opposition” and “party”. A distance matrix and MDS plot aids in understanding the correlation between public issues, the legal angle and issues regarding partisan divides. Such conversations can now be segmented into core narratives in lieu of these visuals, and Cohen easily be elaborated through computational models which highlight which topic or idea is popular in the public eye. The findings are commensurate with the literature discussing the role of public and media sentiment in impeachment process and suggest the opportunities of coupling qualitative and computer approaches. The research offers a technique on how to evaluate political narratives which would aid in enhancing the communication sought by the Penn State University Department of Communication in the governance of the society and democratic processes.
PELATIHAN ANALISIS STATISTIK MENGGUNAKAN WEBSITE INTERAKTIF UNTUK MENDUKUNG PENGAMBILAN KEPUTUSAN BERBASIS DATA PENDIDIKAN BAGI GURU SMA MATEMATIKA DI KABUPATEN SUKABUMI Siregar, Dania; Suyono; Vera Maya Santi; Auria Yusrin Fathya; Sinta Rahmadani; Jaisy Aulia; Maulida Audia Firdaus
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tantangan utama dalam pengambilan keputusan pendidikan adalah keterbatasan literasi statistik dan keterampilan guru dalam mengolah data, terutama melalui teknologi interaktif. Hal ini terlihat dari kuesioner pra-pelatihan, di mana sebagian besar guru menyatakan keraguan atau ketidaksetujuan terhadap pengetahuan mereka, dan mayoritas belum pernah menggunakan situs web interaktif untuk analisis statistik. Program layanan masyarakat ini bertujuan untuk meningkatkan literasi statistik guru melalui pelatihan analisis data menggunakan situs web interaktif berbasis R-Shiny. Pelatihan dilaksanakan pada 13 Agustus 2025, dengan peserta terdiri dari guru matematika SMA di Kabupaten Sukabumi, bekerja sama dengan MGMP Matematika SMA Sukabumi sebagai mitra layanan masyarakat. Materi pelatihan mencakup statistik deskriptif, analisis inferensial, pengujian hipotesis, dan regresi. Evaluasi pasca-pelatihan menunjukkan peningkatan yang signifikan: lebih dari 80% peserta setuju atau sangat setuju bahwa materi pelatihan sistematis, mudah dipahami, dan relevan, serta aplikasi tersebut mudah diakses dan ramah pengguna. Selain itu, 75% peserta sangat setuju bahwa mereka memperoleh pengetahuan baru yang berguna untuk pengambilan keputusan berbasis data dalam pendidikan. Kesimpulannya, pelatihan berbasis teknologi interaktif secara efektif meningkatkan kompetensi guru, memperkuat motivasi mereka, dan menumbuhkan budaya pengambilan keputusan berbasis data di sekolah. Translated with DeepL.com (free version) Abstract The main challenge in educational decision-making is the limited statistical literacy and skills among teachers in processing data, particularly through interactive technology. This was evident from the pre-training questionnaire, in which most teachers expressed doubt or disagreement about their knowledge, and the majority had never used an interactive website for statistical analysis. This community service program aimed to enhance teachers’ statistical literacy through training in data analysis using an R-Shiny-based interactive website. The training was conducted on August 13, 2025, with participants consisting of senior high school mathematics teachers in Sukabumi Regency, in collaboration with the Sukabumi Senior High School Mathematics MGMP as the community service partner. The training materials covered descriptive statistics, inferential analysis, hypothesis testing, and regression. Post-training evaluation showed a significant improvement: more than 80% of participants agreed or strongly agreed that the materials were systematic, easy to understand, and relevant, and that the application was accessible and user-friendly. Furthermore, 75% of participants strongly agreed that they gained new knowledge useful for data-driven decision-making in education. In conclusion, interactive technology-based training effectively improved teachers’ competence, strengthened their motivation, and fostered a data-driven decision-making culture in schools.