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All Journal International Journal Of Computer, Network Security and Information System (IJCONSIST) Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Arya Dwi Nugraha
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Analyzing Public Sentiment Toward Probolinggo UMKM Products on TikTok Through Naïve Bayes Classification and Data Visualization Umi Diantika; Wahyu Nofiyan Hadi; Anisa Nurul Wilda; Moh. Fadel; Muhammad Ichsan; Rojil Ghufron; Syifa Ayu Mika Bahrul; Arya Dwi Nugraha; Sischa Wahyuning Tyas
IJCONSIST JOURNALS Vol 7 No 2 (2026): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i2.195

Abstract

The development of social media, particularly TikTok, has become one of the main platforms for the public to provide opinions and reviews on MSME products. This research aims to analyze public sentiment towards MSME products in Probolinggo based on user comments on TikTok using the Naïve Bayes Classification method. Research data was obtained through scraping TikTok comments, followed by preprocessing steps including cleaning text, case folding, tokenizing, stopword removal, and stemming. The data was then labeled as positive, neutral, and negative sentiment before feature extraction using TF-IDF. The classification process was carried out using the Naïve Bayes algorithm combined with SMOTE on training data to overcome class imbalance, and evaluated using pure test data. The results showed that the Naïve Bayes method was able to classify sentiment with a final accuracy rate of 66.67%. The analysis showed that neutral sentiment dominated public opinion with 365 comments (47.04%), followed by positive sentiment with 341 comments (43.94%) and negative sentiment with 70 comments (9.02%). Data visualization indicated that most users responded very positively to MSME Probolinggo products on TikTok. This research is expected to help MSME actors understand consumer perceptions and improve digital marketing strategies based on social media
Pendampingan Pembelajaran Digital Berbasis Web untuk Meningkatkan Literasi Pembelajaran Mahasiswa Pascasarjana Mahasiswa Program Studi Magister Pendidikan Agama Islam Universitas Islam Zainul Hasan Genggong Muhammad Ichsan; Anisa Nurul Wilda; Moh. Fadel; Syifa Ayu Via Mika Bahrul; Arya Dwi Nugraha; Rojil Ghufron; Ainur Rofiq Sofa
Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 4 No. 3 (2026): Agustus: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/faedah.v4i3.2002

Abstract

This community service article discusses web-based digital learning assistance conducted to improve the learning literacy of students in the Master of Islamic Religious Education Program at the Postgraduate School of Universitas Islam Zainul Hasan Genggong Probolinggo. The program was designed in response to the gap between the availability of digital learning facilities and students’ ability to access, evaluate, organize, and use online academic resources independently. The method used a participatory mentoring approach through four stages: needs analysis, training on web-based digital learning literacy, practical assistance in using learning management systems and online academic resources, and evaluation with follow-up recommendations. The activity was carried out on 10-11 Juli 2025 and involved postgraduate students with diverse professional backgrounds. The results indicate that the program strengthened students’ understanding of digital learning literacy, improved their ability to use web-based learning platforms, encouraged more critical use of scholarly online sources, and fostered independent learning habits. The program also produced a contextual assistance model that can be replicated in Islamic higher education settings. The implication of this service activity is that digital learning transformation requires not only infrastructure but also continuous mentoring, academic culture building, and integration of technology with the values and learning needs of Islamic education.
Co-Authors Ainur Rofiq Sofa Anisa Nurul Wilda Moh. Fadel Moh. Fadel Muhammad Ichsan Rojil Ghufron Rojil Ghufron Sischa Wahyuning Tyas Syifa Ayu Mika Bahrul Syifa Ayu Via Mika Bahrul Umi Diantika Wahyu Nofiyan Hadi