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All Journal JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi) Undiksha Ekuitas: Jurnal Pendidikan Ekonomi Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) International Journal of Community Service Learning JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) ANALISIS - SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING Indonesian Journal of Data and Science JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) INSERT: Information System and Emerging Technology Journal JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Puan Indonesia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Manajemen dan Teknologi Informasi Journal of Artificial Intelligence and Digital Business Journal of Software Engineering and Information System (SEIS) Jurnal Pengabdian Kepada Masyarakat SEWAGATI Journal of Social Work and Empowerment Jurnal Inovasi Global Ekuitas Jurnal Pnedidikan Ekonomi
Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Sentiment Analysis on Rupiah Depreciation Against USD Using XGBoost Indrayuni, Ni Komang Purnama; Desmayani, Ni Made Mila Rosa; Pramawati, I Dewa Ayu Agung Tantri; Sandhiyasa, I Made Subrata; Widiartha, Komang Kurniawan
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10751

Abstract

The depreciation of the rupiah against the United States dollar (USD) affects purchasing power and economic stability. Public responses are widely expressed through social media such as X and Instagram. This study aims to analyze public sentiment using the Extreme Gradient Boosting (XGBoost) algorithm. Data were collected through crawling and scraping, consisting of 13,443 X comments and 11,287 Instagram comments between January 2024 until April 2025. Preprocessing included emoji conversion, cleaning, case folding, normalization, tokenization, stopwords removal, and Stemming. Sentiment labeling was performed using the InSet Lexicon, TF-IDF weighting, and data splitting   into 70:30, 80:20, and 90:10. The XGBoost model was trained with parameters: 100 estimators, learning rate 0.1, max depth 6, and subsample 0.8. Results showed accuracies of 74–76% on X data and stable 77% on Instagram. Model evaluation using precision, recall, and F1-score confirmed consistency: precision 0.76% – 0.84%, recall 0.86%–0.88%, and F1-score 0.82%–0.86%, reflecting a balance between accuracy and robustness in detecting sentiments. Sentiment distribution revealed that X is dominated by negative opinions (38%), while Instagram is more positive (41%). These findings confirm the effectiveness of XGBoost in sentiment classification and provide valuable insights for policymakers to design adaptive communication and monetary strategies based on digital public opinion.
Public Sentiment Analysis of the Free Nutritious Meals Program (MBG) on Social Media X Using the Naive Bayes Method Aprianti, Ni Nyoman; Desmayani, Ni Made Mila Rosa; Libraeni, Luh Gede Bevi; Indrawan, I Gusti Agung; Radhitya, Made Leo
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11420

Abstract

This study aims to analyze public sentiment towards the Free Nutritious Meals Program (MBG) launched by the government, utilizing data from the X (Twitter) platform using the Naïve Bayes method. The background of this study is based on the high level of public attention towards the MBG program, which targets school children, toddlers, pregnant women, and nursing mothers, as well as the prevalence of diverse opinions on social media. Data was collected through a crawling process during the period of April 28 to May 28, 2025, using keywords related to MBG, resulting in 12,310 tweets. The data processing stages included text preprocessing (cleansing, case folding, tokenizing, filtering, stemming), word weighting with TF-IDF, training and test data division, and testing using a confusion matrix. The results show that the Naïve Bayes method is capable of classifying sentiment into three categories: positive, negative, and neutral, with optimal performance on an 80:20 data split, resulting in an accuracy of 86.78%, precision of 86.86%, recall of 86.78%, and an F1-score of 86.58%. The majority of public sentiment towards the MBG program was positive, reflecting support for the program's benefits in improving the nutrition of school children and alleviating the economic burden on families. This study is expected to serve as a reference for the government in evaluating public policy and communication strategies, as well as contributing academically to the development of text mining and sentiment analysis studies on social media.
Co-Authors Anak Agung Danendra Priya Kayana Aniek Suryanti Kusuma, Aniek Suryanti Aprianti, Ni Nyoman Ariana, Anak Agung Gede Bagus Aristamy, I Gusti Ayu Agung Mas Aristana, I Dewa Gede Aristana, Made Dona Wahyu Artika, I Nyoman Atmaja, Ketut Jaya Bevi Libraeni, Luh Gede Desak Dwi Utami Putra Devi Valentino Waas Dewa Ayu Giovany Angga Indrya Dewi, Desak Putu Eka Komala Diah Juniari Arnidya Dwi Novitasari Eddy Hartono Eddy Hartono Eko Maisusanto Gede Rudiharta Pratama Giri Gede Surya Mahendra Giri, Gede Rudiharta Pratama I Dewa Gede Aristana I Dewa Putu Gede Wiyata Putra I Gusti Agung Indrawan I Kadek Adiana Putra I Kadek Krisna Dwipayana Putra I Kadek Wira Dharma Prayana I Made Sadha Suardhika I Nyoman Agus Suarya Putra I Nyoman Artika I Nyoman Jayanegara I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Yoga Indrawan I Wayan Dharma Suryawan Ida Bagus Gede Sarasvananda Indrayuni, Ni Komang Purnama Jelni, Olivia Sutriani Kompiang Martina Dinata Putri Libraeni, Luh Gede Bevi Luh Gede Bevi Libraeni Luh Gede Bevi Libraeni Luh Gede Diah Ary Pradnyaswari Luh Putu Rara Ayu Ratnaningrum Maisusanto, Eko Mulyawan, I Putu Arya Murpratiwi, Santi Ika Ni Kadek Ariasih, Ni Kadek Ni Kadek Ayu Nirwana Ni Made Astini Rahayu Ni Putu Widantari Suandana Ni Wayan Anggita Dara Pratiwi Ni Wayan Anggita Dara Pratiwi Ni Wayan Jeri Kusuma Ni Wayan Wardani Ni Wayan Wardani Ni Wayan Wardani Wardani Nirwana, Ni Kadek Ayu Nugraha, Putu Gede Surya Parwathi, Ni Luh Gede Putri Desta Pramawati, I.D.A Tantri Pratiwi, Ni Wayan Anggita Dara Prayana, I Kadek Wira Dharma Purnama, Ni Kadek Liryana Putra, I Gede Ardi Sukaryadi Putra, Putu Satria Udyana Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Radhitya, Made Leo Rahayu G., Ni Luh Wiwik Sri Rahayu, Ni Made Astini Sandhisutra , Ida Bagus Ketut Sandhisutra, Ida Bagus Ketut Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sawitri, Nyoman Sintya Sutarwiyasa, I Ketut Thalib, Emmy Febriani Utama, I Made Putra Wardani, Ni Wayan Wardhana, Gede Wirya Widiartha, Komang Kurniawan Wiguna, I Made Surya Willdahlia, Ayu Gede Willdahlia, Ayu Gede Winatha, Komang Redy Wiyata Putra, I Dewa Putu Gede Yuliandari, Ni Kadek