Public Sentiment Analysis and Distribution Optimization of Indonesia's Makan Bergizi Gratis (MBG) Program

Akhmad Sultoni; Dimaz Andhika Putra; Hidayah Noor Wahidah; Muhammad Mahathir Arief; Pelangi Jingga Putria R.M.; Setiti Budi Utami

doi:10.22146/jmt.108835

Public Sentiment Analysis and Distribution Optimization of Indonesia's Makan Bergizi Gratis (MBG) Program

https://doi.org/10.22146/jmt.108835

Akhmad Sultoni^(1*), Dimaz Andhika Putra⁽²⁾, Hidayah Noor Wahidah⁽³⁾, Muhammad Mahathir Arief⁽⁴⁾, Pelangi Jingga Putria R.M.⁽⁵⁾, Setiti Budi Utami⁽⁶⁾

(1) Universitas Gadjah Mada
(2)
(3)
(4)
(5)
(6)
(*) Corresponding Author

Abstract

This study analyzes public sentiment and regional prioritization regarding Indonesia’s Makan Bergizi Gratis (MBG) program, a national initiative aimed at reducing stunting through the distribution of free meals to schoolchildren and pregnant women. Sentiment analysis was conducted on 47,803 posts from the social media platform X (formerly Twitter) using a lexicon-based labeling method and TF-IDF feature extraction. The results show that 22,504 posts (47.1%) expressed positive sentiment, 20,010 (41.9%) negative, and 5,289 (11.0%) neutral, indicating strong public support accompanied by considerable concerns. Eleven classification models were evaluated, with the Linear Support Vector Machine (SVM) achieving the highest accuracy (96.33%), and BERT-based models also demonstrating strong performance. Latent Dirichlet Allocation (LDA) topic modeling revealed five major themes in the negative sentiment, including transparency issues, maternal and child health, and inequality of access. Furthermore, provincial-level clustering using the K-Means algorithm grouped regions into three priority levels based on socio-economic and health indicators. These findings provide critical insights for optimizing policy targeting and efficient resource allocation in the implementation of the MBG program.

Keywords

Sentiment Analysis; Makan Bergizi Gratis; Clustering; Stunting.

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DOI: https://doi.org/10.22146/jmt.108835