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All Journal Jurnal PkM MIFTEK Journal of Intelligent Systems Technology and Informatics
Sidqi, Muhammad Affan Al
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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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PENYULUHAN PENGELOLAAN SAMPAH GUNA MENCIPTAKAN LINGKUNGAN BERSIH DAN NYAMAN DI KECAMATAN BAYONGBONG Purnamasari, Ismi; Mubarok, Gian Ikhsanul; Sari, Wanda; Praharja, Yoga; Febriansyah, Arif Sani; Nasihin, Muhammad; Yusup, Cahya Purnama; Akmal, M.; Permana, Dimas Satia; Kirani, Garnis; Dewi, Erika Puspa; Yasin, Yasin; Kustiana, Ruli M; Sidqi, Muhammad Affan Al; Humaira, Asma Rani Rosalba; Ajis, Alus; Maulana, Haris; Nafisa, Delia Yulianti; Fadhilah, Muhamad Yassin Al; Supriadi, Ari
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.4-2.1465

Abstract

An environment that is clean from rubbish is an environment that everyone hopes for. The amount of waste produced by humans will increase in proportion to the increase in population, type of activity and level of population consumption of goods. Mekarjaya Village is a village in Bayongbong sub-district, Garut Regency which has a population of 1187 people. With this population, it is very likely that waste will accumulate if it is not managed properly. At the Garut Institute of Technology's Thematic KKN activities in 2023, it was identified that there was a buildup of rubbish in a location that had not been organized. Therefore, one of the community service activities will be activities that focus on environmental cleanliness. This is done with the aim of creating a more organized environment and a cleaner and healthier environment. To achieve this goal, joint environmental cleaning activities were carried out, providing rubbish bins and waste sorting education to educate residents about the importance of waste management to achieve environmental cleanliness.
Automatic Sentiment Annotation Using Grok AI for Opinion Mining in a University Learning Management System Julianto, Indri Tri; Sidqi, Muhammad Affan Al
Journal of Intelligent Systems Technology and Informatics Vol 1 No 3 (2025): JISTICS, November 2025
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v1i3.42

Abstract

Sentiment analysis has become an essential tool in evaluating user feedback on digital learning platforms. Understanding student sentiments toward Learning Management Systems (LMS) in higher education can offer critical insights for system development and service improvement. This study aims to evaluate the effectiveness of AI-assisted sentiment labeling using Grok AI and ChatGPT compared to manual labeling for sentiment classification of student opinions on LMS at Institut Teknologi Garut. The research involved distributing an online questionnaire to 96 students across four academic levels, collecting open-ended responses regarding their LMS usage experiences. These responses were preprocessed through case folding, cleaning, tokenization, stopword removal, and stemming. The sentiment labels were assigned using Grok AI, ChatGPT, and manual annotation, and the resulting datasets were used to build classification models using the Naïve Bayes algorithm in Altair RapidMiner with 10-Fold Cross Validation. The performance evaluation shows that manual labeling yielded the highest accuracy (52.22%) and Cohen's Kappa (0.137), followed by ChatGPT (50.11%, 0.119) and Grok AI (48.00%, 0.087). Word cloud visualizations further revealed the dominant themes within each sentiment class, indicating that positive opinions emphasized helpfulness and ease of use, while negative ones focused on access issues and system lags. This research suggests that AI-assisted labeling methods can be viable alternatives, although manual labeling still offers slightly better accuracy.
Co-Authors Ajis, Alus Akmal, M. Dewi, Erika Puspa Fadhilah, Muhamad Yassin Al Febriansyah, Arif Sani Humaira, Asma Rani Rosalba Indri Tri Julianto Kirani, Garnis Kustiana, Ruli M Maulana, Haris Mubarok, Gian Ikhsanul Muhammad Nasihin Nafisa, Delia Yulianti Permana, Dimas Satia Praharja, Yoga Purnamasari, Ismi Sari, Wanda supriadi, ari Yasin, Yasin Yusup, Cahya Purnama