Article Per Year (5 Year)
p-Index From 2021 - 2026
4.843
P-Index
This Author published in this journals
All Journal ELINVO (Electronics, Informatics, and Vocational Education) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Kajian Bahasa, Sastra dan Pengajaran (KIBASP) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL EDUCATION AND DEVELOPMENT EDUMATIC: Jurnal Pendidikan Informatika JURNAL ILMU KOMPUTER INDONESIA Infotek : Jurnal Informatika dan Teknologi Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Jurnal Pendidikan Progresif Al-Tafani: Jurnal Inovasi dan Pengabdian Kepada Masyarakat
Uska, Muhammad Zamroni
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 52 Documents
Search

 2   3   4   5   6 
Public Sentiment on Indonesia’s MBG Budget Allocation: Twitter/X Analysis Using IndoBERT Model Muhammad Zamroni Uska; Rasyid Hardi Wirasasmita; Wilda Susanti; Yosi Nur Kholisho
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.17882

Abstract

The increasing use of social media has created opportunities to examine public opinion regarding government policies through sentiment analysis approaches. This study analyzes public sentiment toward the budget allocation of the Makan Bergizi Gratis (MBG) program in Indonesia using Twitter/X data and the IndoBERT model. Data were collected through keyword-based crawling techniques, resulting in 24,836 tweets, which were reduced to 18,742 tweets after preprocessing. The dataset was manually annotated into positive, negative, and neutral sentiment categories before being classified using IndoBERT. The evaluation results indicate that the proposed model achieved strong performance, with an accuracy of 92.41%, precision of 91.86%, recall of 92.03%, F1-score of 91.94%, and ROC-AUC value of 0.961. The findings reveal that negative sentiment dominated public discourse, primarily associated with concerns regarding fiscal sustainability, transparency, and policy priorities. Positive sentiment mainly emphasized nutritional benefits and educational welfare impacts. The study demonstrates that transformer-based NLP models are effective for analyzing Indonesian social media discourse and provides practical insights for evidence-based policymaking and digital governance evaluation.
Gerakan Masyarakat Desa Suralaga Bebas Stunting melalui Optimalisasi Web-Based Literacy 'Stunt Guard' Yosi Nur Kholisho; Jamaluddin Jamaluddin; Kholida Ismatulloh; Rasyid Hardi Wirasasmita; Zamroni Uska; Baiq Desi Dwi Arianti; Mefthafayra Odilia Irham
Al-Tafani: Jurnal Inovasi dan Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2026): Maret
Publisher : Lembaga Einstein College

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63987/al-tafani.v4i1.246

Abstract

Stunting remains a major public health challenge in Indonesia, particularly in rural areas. This community service program aims to enhance health literacy and digital skills among residents of Suralaga Village by optimizing the “Stunt Guard” web application as an educational and monitoring tool for stunting prevention. Activities included socialization, training, and intensive mentoring for posyandu cadres and mothers of young children. Evaluation using pre-test and post-test revealed a significant increase in participants’ knowledge and preventive behaviors after the intervention. These results indicate that utilizing web-based applications is effective in strengthening community involvement in monitoring child growth and supporting participatory, sustainable stunting prevention efforts. This program is expected to serve as a replicable digital empowerment model to accelerate the reduction of stunting rates in Indonesia.
Co-Authors Abdullah Abdullah Abdullah Muzakar Ahmad Fathoni Ahmad Yasar Ramdhan Aini, Nurul Aris Sudianto Baiq Desi Dwi Arianti Baiq Hartina Maisiswati Edy Waluyo Fahri Hamdani Fathoni, Ahmad GB Deni Rahman Gede Rasben Dantes Hakky, Muhammad Khalid Heni Pujiastuti I Made Candiasa Ismatullah, Kholida jamaluddin Jamaluddin Jamaluddin JAMALUDIN Jamaludin . Jamaludin Jamaludin Khairunnisa, Imma Jannati Kholida Ismatulloh Kholisho, Yosi Nur Kuswanto, Heri Maisiswati, Baiq Hartina Mefthafayra Odilia Irham Muhammad Djamaluddin Muhammad Khalid Hakky Muhammad Sulhan Habibi Muslihun Muslihun Nafisah, Khufatun Nurul Aini Pathoni, Busratun Rasyid Hardi Wirasasmita Rona Firdaus Roziki , Muhammad Sakinah, Nurul Winda Samsul Lutfi Siti Sriatni Sriatni, Siti Suryadiy, Muhammad Yusron Syayid Khaliqussani Qushay Al Idrus Ulfa, Delvia Samara Usuluddin Usuluddin Usuluddin Usuluddin Usuluddin Usuluddin Usuluddin, Usuluddin Usuluddin, Usuluddin Usuluddin, Usuluddin Usuludin, Usuludin Wardi, Zoatul Wilda Susanti Wirasasmita , Rasyid Hardi Yosi Nur Kholisho Yosi Nur Kholisho Yundari, Yundari Zaenul Amri Zaotul Wardi