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Marcellio Aurel Christian
Universitas Pembangunan Nasional "Veteran" Jawa Timur
Computer Science & IT Library & Information Science

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Implementasi BERTopic untuk Menganalisis Isu Program Makan Bergizi Gratis pada Media Sosial X Marcellio Aurel Christian; Eka Dyar Wahyuni; Mohammad Al Hafidz
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 3 (2026): September 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i3.385

Abstract

The Free Nutritious Meal Program is one of the government policies widely discussed on social media X. The large number of posts makes manual issue identification inefficient; therefore, an automatic topic grouping method is needed. This study aims to implement BERTopic to map issues related to the Free Nutritious Meal Program on social media X. Data were collected through scraping using the keywords “Program Makan Bergizi Gratis” or “MBG” from January 6, 2025, to October 6, 2025. From 37,368 raw posts, 10,637 data remained after filtering. The research stages include text preprocessing, topic modeling using BERTopic, evaluation, visualization, and topic labeling. The best result was obtained with min_cluster_size 40, producing a coherence score of 0.740873, stability score of 0.753521, and final score of 0.747197. BERTopic generated 10 main issues, including child nutrition benefits, policy and budget, school implementation, food safety, supervision, SPPG operations, and food price stability. The results show that BERTopic can representatively map public policy issues from short Indonesian social media texts on X.
Co-Authors Mohammad Al Hafidz Wahyuni, Eka Dyar