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All Journal TEKNIK INFORMATIKA Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Yusuf Wijaya
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Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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Comparative Analysis of KNN, Naïve Bayes and SVM Algorithms for Movie Genres Classification Based on Synopsis. Nurhayati Buslim; Lee Kyung Oh; Muhammad Hugo Athallah Hardy; Yusuf Wijaya
JURNAL TEKNIK INFORMATIKA Vol 15, No 2 (2022): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v15i2.29302

Abstract

Text classification is a process of categorizing a text into the correct label. Text classification in natural language processing is a challenging task that requires accuracy to get the correct results, manual text classification tends to be inefficient because it requires a lot of time and also experts. The utilization of machine learning for automatic text classification can be a solution to this problem. KNN, Naive Bayes, and SVM are known as some of the most algorithms to solve classification problems, especially text classification. In this study, we are trying to compare the KNN, Naive Bayes, and SVM algorithms for text classification with the problem of classifying movie genres based on a synopsis using datasets obtained from Kaggle.com and IMDB Dataset. The results of this study indicate that of the 12 experiments, Support Vector Machine (SVM) is the bestperforming algorithm with an accuracy of 90%, 93%, 65%, and 63%. It is hoped that this research can help to determine the best algorithm in the text classification process. 
Sosialisasi Peduli Lingkungan: Dari Desa Tanam, Rawat, dan Lestarikan Bersama KKM 36 Desa Kertasana Pandeglang: Pengabdian Eli Apud Saepudin; Resty Yuliana; Raissa Adelio; Cici Istitika Indriani; Ima Muslimah; Yusuf Wijaya; Ahmad Yani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.2097

Abstract

The Environmental Care Socialization Activity: From the Village Plant, Care, and Preserve Together with KKM 36 Kertasana Village, Pandeglang aims to increase public awareness and participation in maintaining the sustainability of the village environment. Through this program, KKM 36 invites residents to actively plant trees, care for existing plants, and preserve natural resources so that the sustainability of the village ecosystem can be maintained. The implementation method of the activity includes socialization, direct education to the community, and joint tree planting practices. The results of the activity show an increase in public understanding of the importance of environmental preservation and the creation of a shared commitment to maintaining the cleanliness and sustainability of Kertasana Village. This program is expected to be the first step in the formation of a sustainable environmental care movement and can be an example for other villages in the Pandeglang area.
Co-Authors Ahmad Yani Cici Istitika Indriani Eli Apud Saepudin Ima Muslimah Lee Kyung Oh Muhammad Hugo Athallah Hardy Nurhayati Buslim Raissa Adelio Resty Yuliana