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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Khairul, K
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Computer Science & IT Decision Sciences, Operations Research & Management

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Analisys of Trends And Patterns of Hololive ID Vtubers on Content Variation for Monetization Optimization Using Multiple Linear Regression Algorithm Aulia, Ananda; Iqbal, Muhammad; Khairul, K
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.885

Abstract

YouTube, as a new form of mass media in the advancement of increasingly sophisticated technology, caters to a diverse audience seeking daily information. Many YouTube users leverage this platform as a medium for creativity and income generation, such as through video blogs, educational videos, gaming videos, and various other content. Not all YouTubers can express themselves directly or through livestreaming; some use virtual 2D or 3D characters created with computer software, utilizing technologies such as Face Tracking and Hand Tracking. Hololive Production is a Japanese VTuber agency owned by the Japanese technology company Cover Corporation. Hololive Indonesia (Hololive ID) was established to produce Indonesian-language VTuber content and has garnered significant attention from fans in Indonesia and worldwide. VTuber content primarily revolves around video game topics, indicating a strong interest among VTuber fans in gaming-related content. Moreover, the analysis results show that multiplayer games enabling interaction among VTubers or even with viewers are highly favored, further supporting the popularity of gaming topics among VTuber enthusiasts. The Multiple Linear Regression algorithm has been widely used for sales predictions related to buyer patterns and trends. The performance measurement is influenced by the amount of data and the number of attributes.
Analisis Metode Support Vector Machine (SVM) Dan Random Forest Terhadap Perilaku Dan Prestasi Siswa Berbasis Kurikulum Merdeka Di SMK Negeri 1 Stabat Ibrahim, I; Iqbal, Muhammad; Khairul, K
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.888

Abstract

This study analyzes the influence of student behavior on academic achievement at SMKN 1 Stabat, using a quantitative approach with simple linear regression analysis on 245 tenth-grade students. The results show a positive and significant influence, with a coefficient of determination (R²) value of 0.272, indicating that student behavior contributes 27.2% to academic achievement. Discipline and responsibility are the most influential behavioral aspects, where students with high discipline tend to be more consistent in learning and completing assignments. The implications of this study highlight the importance of character building and positive behavior development within the school environment through collaboration among teachers, parents, and school administrators. Although not the sole determinant of success, good behavior such as discipline, responsibility, and active learning has been proven to enhance student learning outcomes. Therefore, efforts to improve the quality of education should consider not only cognitive aspects but also the development of constructive behavior through guidance programs and the strengthening of intrinsic motivation.
Co-Authors Aulia, Ananda I Ibrahim, I Muhammad Iqbal