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All Journal Jurnal Teknologi dan Sistem Komputer Jurnal Ilmiah FIFO InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Teknik Informatika UNIKA Santo Thomas Jiko (Jurnal Informatika dan komputer) JUTEKIN (Jurnal Manajemen Informatika) Jurnal PTK dan Pendidikan PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika dan Rekayasa Elektronik Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal Of Information And Technology Unimor (JITU) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pepadun Jurnal Teknik Indonesia Jurnal Lentera Pengabdian Journal of Community Services: Sustainability and Empowerment Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer Jurnal Ilmu Siber
Syahid Abdullah
Universitas Siber Asia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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Recommendations for Branding Online Lectures in Indonesia Through Web Scraping with the Implementation of TF-IDF Vectorizer Techniques and K-Means Clustering Algorithm Riad Sahara; Syahid Abdullah; Catur Nugroho; Ambros Magnus Rudolf Mekeng
Jurnal Pepadun Vol. 7 No. 2 (2026): August
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v7i2.360

Abstract

The development of online lectures in Indonesia has encouraged universities to develop more targeted branding strategies, particularly in increasing brand awareness and digital engagement. Public perceptions reflected in open digital sources, particularly online news portals, are important data sources for understanding how online lectures are perceived by the public. This study aims to analyze public opinion on online lectures in Indonesia using web scraping, text mining, TF-IDF Vectorizer, and the K-Means Clustering algorithm. Initial data was obtained through web scraping using several Indonesian keywords related to online lectures and resulted in 108 text documents. After duplicate removal, noise filtering, and text preprocessing, the number of documents used in the analysis was reduced to 60 documents. The analysis stages included text cleaning, normalization, feature extraction using TF-IDF, determining the optimal number of clusters using the Elbow Method and Silhouette Score, and clustering using K-Means. The results showed that the optimal number of clusters was 4 clusters. The formed clusters represent the themes of online lecture academic activities, social and cultural dimensions, distance education and policy, as well as economic, regulatory, and technological aspects. The TF-IDF matrix yielded 1669 features, while the final evaluation yielded a Silhouette Score of 0.0345. PCA visualization showed overlap between clusters, indicating that public perception of online lectures is multidimensional. The conclusion of this study shows that the TF-IDF and K-Means approaches can be used to map public opinion and develop more contextual, data-driven, and relevant online lecture branding recommendations for universities.
Co-Authors -, Mukijo Abdul Azzam Ajhari Ahmad, Hamna Izzatunnisa Ambros Magnus Rudolf Mekeng Ambros Magnus Rudolf Mekeng Bangkit Dwi Nuryanto Catur Nugroho Catur Nugroho Chusyairi, Ahmad Cian Ramadhona Hassolthine Cian Romadhona Hassolthine Darussalam, Ucuk Deni Muhammad Sepudin Fathur Ramadhan Gusti Bagus Cahya Utama Haq, Fesa Asy Syifa Nurul Irawan, Bei Harira Jevintya, Nandya Rifki Joanne Landy Tantreece M. Ikhwani Saputra Mohammad Hud Muhammad Ikhwani Saputra Muhammad Ikhwani Saputra Mukijo - Nandya Rifki Jevintya Nur Halimah Riad Sahara Rizal Ardiyansyah Seno Prasetyo Sony Hartono Wijaya Sunoto, Noto Ucuk Darussalam Wisnu Ananta Kusuma Yunita Ramanda Yunita Ramanda, Yunita Yurista, Rosnia