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All Journal JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Firmansyah, Ilhan
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Aerospace Engineering Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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ANALISIS SENTIMEN RESPON PENGGUNA CHAT GPT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Safitri, Angelina; Firmansyah, Ilhan; Yani, Fitri; Kurniawan, Muhammad Arif; Nuryamin, Yamin
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 2 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i2.3810

Abstract

This study aims to analyze user sentiment toward ChatGPT based on comments collected from the YouTube platform using the Support Vector Machine (SVM) algorithm. SVM belongs to the supervised learning algorithm group. The data were collected through web scraping using the YouTube Data API v3, resulting in 999 valid comments. The initial process included data cleaning using regular expressions to remove irrelevant characters, duplicates, and noise. Sentiment correction was then performed using a bilingual lexicon-based function (Indonesian and English) to improve classification accuracy based on language context. The initial sentiment distribution analysis showed 53.85% positive, 33.53% negative, and 12.61% neutral sentiments. To address class imbalance, a balancing process was conducted before model training. The preprocessing stage involved feature normalization and feature selection before splitting the dataset into 70% training and 30% testing data. The SVM model was trained and evaluated using performance metrics such as accuracy, precision, recall, F1-score, and AUC. The evaluation results showed an AUC of 0.90, accuracy of 81.6%, precision of 89.2%, recall of 51.6%, and F1-score of 65.4%. Based on these results, the SVM algorithm proved effective in classifying user sentiments toward ChatGPT with a high level of accuracy after the data balancing process.
Optimalisasi Aplikasi E-Learning Berbasis Moodle Untuk Pengembangan Dan Peningkatan Media Pembelajaran Secara Digital Budi, Eko Setia; Priyatna, Ade; Zuraidah, Eva; Fadillah, Nur; Firmansyah, Ilhan; Rana, Dipo Yudhis; Fitriyani, Fitriyani; Roris, Renaldi Putra
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2751

Abstract

Community Service is a routine activity carried out by lecturers of Higher Education in order to carry out the obligations of the Tridharma of Higher Education. Lecturers have an obligation to carry out the obligation to share knowledge and skills they have with the wider community who need help. One of the partners who needs support is Al Qomar School which currently has problems in the information system in the digital learning process. This often causes errors in the digital learning process. In addition, the partner also does not have a website application that can be used to display the school's digital learning that makes it easier for teachers to access digital learning quickly and efficiently. Based on this, this community service aims to provide Moodle-Based E-Learning Application Training for the Development and Improvement of Digital Learning Media at Al Qomar School that can be used by partners to improve learning performance better. The activity was carried out face-to-face at the Al Qomar School Hall, Jalan Kamal Raya No. 1 Kalideres, West Jakarta. The target output to be achieved in this activity is the publication of this training activity in national-scale electronic or print media. Improving the ability of the e-learning system aims to provide effective solutions in increasing learning flexibility, accommodating diverse learning styles, and facilitating learning accessibility. E-learning development using the Moodle platform, 100% of teachers are able to design learning with creative and innovative content
Co-Authors Ade Priyatna Eko Setia Budi Eva Zuraidah Fitri Yani Fitriyani Fitriyani Muhammad Arif Kurniawan Nur Fadillah, Nur Rana, Dipo Yudhis Roris, Renaldi Putra Safitri, Angelina Yamin Nuryamin