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All Journal Jurnal PkM MIFTEK Journal of Intelligent Systems Technology and Informatics
Nurpajar, Dini Siti
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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PENERAPAN KAWAL DESA UNTUK KEBUTUHAN TATA KELOLA DESA SIRNAGALIH BAYONGBONG Mulyani, Asri; Juliansyah, Fauzan Romi; Febrianti, Tiara; Rengganis, Nadia Fauziah; Saparudin, Hopid; Slamet, Bagus; Latif, A. Abdul; Haolilah, Siti; Fathon, Ahmad; Wahdaniah, Hamidah Nur; Ramdani, Idham; Putri, Elsinta Ismawati; Jamiludin, Irfan; Rahayu, Maulida Fasha; Saadah, Roro; Alfiansyah, Dandan; Ahzam, Faiq Muhammad; Alhakim, Much Kahfi; Nurpajar, Dini Siti; Gustiawan, Restu Fajar
Jurnal PkM MIFTEK Vol 4 No 2 (2023): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.4-2.1475

Abstract

Along with current developments in technology and information, it is hoped that villages can implement applications that can help administration and facilitate communication with the community. Kawal Desa is an application or platform used for village governance needs and interaction between residents and officials. Based on these problems, the aim of this Work Lecture activity is to implement the Kawal Desa application to help village officials and the community manage community activities more effectively and efficiently. The approach used is by providing assistance and training to village officials and community leaders. As a result of implementing village guard, village administration can be well organized, and make it easier to monitor community activities and communication.
User Sentiment Analysis X Towards Makan Bergizi Gratis Program Using Automatic Labeling Technique with Deepseek AI Julianto, Indri Tri; Nurpajar, Dini Siti
Journal of Intelligent Systems Technology and Informatics Vol 1 No 2 (2025): JISTICS, July 2025
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v1i2.43

Abstract

Public perception of national nutrition initiatives is instrumental in shaping inclusive and data-driven policy development. In Indonesia, the "Makan Bergizi Gratis" (MBG) program introduced by President Prabowo has drawn significant attention, particularly on the X platform (formerly Twitter). This research topic was selected due to its national urgency and political significance, as the MBG program emerged as a key agenda during the 2024–2025 political transition. Therefore, examining public sentiment is essential to assess policy acceptance and identify areas for improvement. This study analyzes user sentiment toward the MBG policy using an automatic labeling approach supported by DeepSeek AI and the VADER Lexicon, followed by sentiment classification through the K-Nearest Neighbor (KNN) algorithm. The research involved five main stages: collecting 1,704 tweets from X between January 2024 and March 2025, preprocessing the text, conducting automatic sentiment labeling, applying TF-IDF for vectorization, handling class imbalance using the Synthetic Minority Over-sampling Technique (SMOTE), and classifying sentiments using KNN. The results indicate that without SMOTE, the VADER model achieved higher accuracy (93.49%) but lower Cohen's Kappa (0.16), while DeepSeek AI yielded lower accuracy (73.67%) but slightly higher Kappa (0.17). After SMOTE was applied, accuracy declined (VADER to 77.25%, DeepSeek AI to 64.72%), but Kappa scores improved significantly (VADER to 0.65, DeepSeek AI to 0.47), indicating more balanced and consistent sentiment predictions across classes. In conclusion, integrating automatic labeling, SMOTE, and KNN provides a reliable and scalable framework for analyzing large-scale sentiment on social media platforms, particularly in contexts with imbalanced opinion distributions.
Co-Authors Ahzam, Faiq Muhammad Alfiansyah, Dandan Alhakim, Much Kahfi Asri Mulyani Fathon, Ahmad Febrianti, Tiara Gustiawan, Restu Fajar Haolilah, Siti Indri Tri Julianto Jamiludin, Irfan Juliansyah, Fauzan Romi Latif, A. Abdul Putri, Elsinta Ismawati Rahayu, Maulida Fasha Ramdani, Idham Rengganis, Nadia Fauziah Saadah, Roro Saparudin, Hopid Slamet, Bagus Wahdaniah, Hamidah Nur