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All Journal Journal of Information Systems and Informatics Jurnal Satya Informatika Sinergi: Jurnal Pengabdian Kepada Masyarakat Jurnal Pustaka Dianmas Jurnal Ilmiah Mahasiswa Teknik
Abdul Kholiq
Universitas Satya Negara Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Reliability-Aware Public Issue Priority Mapping for Indonesia’s Free Nutritious Meal Program Using Sentiment Calibration and BERTopic Rizaldi; Dewi Anggraeni; Abdul Kholiq
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1753

Abstract

The Free Nutritious Meal Program (MBG) has generated extensive public discussion on platform X. This study develops a reliability-aware framework for mapping public issue priorities by integrating sentiment analysis, probability calibration, and topic modeling. A final dataset of 1,641 public X posts was de-identified, preprocessed, relevance-filtered, manually labeled, validated, and proportionally split. TF-IDF + SVM was used as a classical baseline, while IndoBERTweet was fine-tuned and calibrated using temperature scaling. BERTopic was applied to generate topics, followed by manual interpretation into substantive issue groups. TF-IDF + SVM outperformed IndoBERTweet, achieving 0.8138 accuracy and 0.7999 Macro-F1, while IndoBERTweet achieved 0.7611 accuracy and 0.7142 Macro-F1. IndoBERTweet was retained because it provides probability-based confidence scores for calibration and priority mapping. Calibration modestly reduced NLL from 0.5239 to 0.5199 and ECE from 0.0700 to 0.0682. BERTopic produced 19 non-noise topics with a coherence score of 0.4552. The highest-priority public discussion theme concerned food safety, poisoning-related discourse, and consumption quality. This framework provides initial public-opinion monitoring input, not definitive policy evaluation, and requires external validation before formal policy use.
Co-Authors Agung Priambodo Alessandro Kurniawan Ulung Andina M. Ayu Ariel Juan Sinaga Christina Christina Dewi Anggraeni Edy Widodo Endah Putri Febrie Fitrianingrum Fahlesa Munabari Jonathan Crystal Galle Oppier Mila Shania Natrion Nurmala Silivian Dewi Pradono B. Saputro Prionggo Hendradi Riena F Telussa Rifki Ryan Maulana Rizaldi, Rizaldi Sukarno Bahat Nauli Wawan Kurniawan Zul kifli