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All Journal Information Technology and Telematics Dinamik E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer Jurnal Informatika INFOKAM Scientific Journal of Informatics IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science IKRA-ITH ABDIMAS Jurnal Ilmiah Galuh Justisi JURNAL PENA EDUKASI Jurnal Tekno Kompak Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar At-Tajdid : Jurnal Pendidikan dan Pemikiran Islam Spizaetus: Jurnal Biologi dan Pendidikan Biologi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat BIO-CONS: Jurnal Biologi dan Konservasi Education Journal: Journal Educational Research and Development Jurnal Teknologi Pendidikan Jurnal Biologi JIPETIK:Jurnal Ilmiah Penelitian Teknologi Informasi & Komputer Jurnal Pendidikan Teknologi Informasi (JUKANTI) Bioma : Jurnal Biologi dan Pembelajaran Biologi Jurnal Informatika Dan Tekonologi Komputer
Agus Prasetyo Utomo
Progdi Sistem Informasi, Fakultas Teknologi Informasi & Industri, Universitas Stikubank Semarang
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Evaluasi Efektivitas E-Learning Menggunakan Model Kesuksesan Sistem Informasi dewanty Arzena Wiliyanto, Sabilla; Utomo, Agus Prasetyo; Mariana, Novita
Jurnal Informatika Vol 26 No 1 (2026): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

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Abstract

Abstract —  The rapid integration of digital technologies into higher education has positioned e-learning as a fundamental medium for delivering teaching and learning activities. Nevertheless, widespread adoption of e-learning platforms does not necessarily translate into improved learning outcomes. Consequently, assessing the effectiveness of e-learning from an information systems perspective remains an important area of investigation. This study examines the influence of information quality, system quality, service quality, and internet self-efficacy on perceived learning effectiveness by employing the Information Systems Success Model as the underlying theoretical framework. A quantitative research design was adopted, and data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). Responses were collected from 206 university students who actively utilize e-learning platforms in their academic activities. The findings reveal that the proposed model accounts for 73.1% of the variance in perceived learning effectiveness. Among the examined factors, system quality demonstrates the strongest contribution, followed by service quality, information quality, and internet self-efficacy. All hypothesized relationships were found to be statistically significant. The results highlight that the effectiveness of e-learning is shaped not only by the technical performance of the platform but also by the quality of supporting services, the relevance of information provided, and users’ confidence in utilizing internet-based technologies. These findings provide empirical evidence for the applicability of the Information Systems Success Model in the context of higher education and offer practical insights for improving digital learning environments.   Key word — e-learning effectiveness; information systems success model; higher education; learning effectiveness.
EVALUASI TATA KELOLA LAYANAN AKADEMIK DIGITAL UNISBANK: COBIT 2019 DOMAIN APO07 DSS02 Sutan Sutan Cahaqiya; Agus Prasetyo Utomo
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 9 No 1 (2026): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI APRIL 2026
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v9i1.1912

Abstract

Digital academic services at Universitas Stikubank (UNISBANK) Semarang still face obstacles regarding the high frequency of service disruptions, necessitating a systematic evaluation of IT governance. This study aims to evaluate the capability levels of the APO07 (Managed Human Resources) and DSS02 (Managed Service Requests and Incidents) domains using COBIT 2019. A quantitative descriptive method was employed using a Process Assessment Model (PAM)-based questionnaire administered to 43 respondents. The determination of capability levels is based on the adaptation of mean scores of respondent perceptions regarding process attributes, representing a questionnaire-based evaluation rather than a formal evidence audit. The results indicate that APO07 and DSS02 achieved Level 3 (Established) with average scores of 3.80 and 3.82, and gaps of 0.20 and 0.18, respectively, towards the Level 4 target. The main weaknesses were identified in workload management (APO07.05) and incident classification (DSS02.01). This study recommends improving data-driven management through quantitative performance measurements such as MTTR and ticket automation to achieve more predictable service stability.
Pemodelan Sentimen Komentar YouTube Berbasis Naive Bayes Hari Murti; Rara Sriartati Redjeki; Novita Mariana; Agus Prasetyo Utomo; Widiyanto Tri Handoko
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8767

Abstract

Social Network Analysis (SNA) is a crucial quantitative methodology for mapping relationships and identifying connectivity structures within a group. This research specifically explores the use of the NetworkX library in Python as an effective tool for analyzing social networks. The primary objective of this study is to apply the Degree Centrality method to measure the level of connectivity and identify the most popular actors in a social network. The methodology employed is the quantitative analysis of an undirected graph modeled from the us_edgelist.csv dataset, which contains a list of relationships among political figures in an edge list format. Data processing utilized pandas, and the graph object was constructed using NetworkX. Degree Centrality was calculated for each node, with the results being normalized to provide a relative value. This normalization allows for a direct comparison of how active each actor is within the network. The centrality results were then visualized, with node sizes adjusted based on their Degree Centrality score. The results of the analysis indicate that figures like Bush and Obama possess the highest Degree Centrality score, 0.25, suggesting they have the greatest number of direct connections in this network. This high value confirms their role as the most active or central actors in the exchange and interaction within the political network studied. This finding validates the effectiveness of Degree Centrality as an indicator of high involvement. The study concludes that the implementation of Social Network Analysis using NetworkX provides a robust framework for understanding political relationship structures. Therefore, Degree Centrality is a reliable metric for quantifying actor activity and accurately identifying individuals who form the center of connections within the network.
Co-Authors Adi Suliantoro Adiniyah, Nurkumala Afelia, Yolanda Dhea Ali Usman Ali Usman, Ali Ammar Zhorif Anang Setiawan Andiyan Bagas Alfiandika Anggelya, Adinda Ayu Arief Jananto Audina Faza Azis, Dimas Luthfi Azizah, Siti Alfiyana Baehaqi Daffa Iqbal Agselmora Dea, Eva Aprillia dewanty Arzena Wiliyanto, Sabilla Dewi Handayani Untari Ningsih Dwi Agus Diartono Eka Putri, Aliffia Eko Nur Wahyudi Endang Lestariningsih Eri Zuliarso Fauzi, Muhammad Ali Rif’an Fiorera Cinta Ayunda Fitika Andraini Fitriasih, Widia Haikal Fikri Rejani Hari Murti Hariyanti, Dewi Hersatoto Listiyono Ika Priantari Indah Rahmawati Indah Rakhmawati Afrida Isworo Nugroho Isworo Nugroho Jayanti, Erni Dwi Kasmari . Kusuma Ayu, Karisma Lingga Maulana Argenza Lupita Ratna Sari Malik, Rizky Raihan Mariana , Novita Munandar, Kukuh Murti, Hari Nadila Dara Rahmawati Nadila Dara Rahmawati Nandini , Alda Alfiah Dwi Novita Mariana Nurkholisah , Nurkholisah Nursyamsiyah, Siti Pradana, Kelvin Putri Widyawati Radyanto, Mohammad Riza Rara Sri Artati Redjeki Rara Sriartati Redjeki Rejani, Haikal Fikri Reyhan Altair Pradana Rizky Azhar Pribachtiar Rosi Wijayanto Rosita, Eliana Saputra, Rizky Rangga Sari, Lupita Ratna Sugiyamta Sugiyamta Sugiyamta Sugiyamta Sukoco Sukoco Sulastri Sulastri Sulistyaningsih, Henik Sunardi Sunardi Sutan Sutan Cahaqiya Syah, Rizky Firman Teguh Khristianto Tri Purwadi Wahyu Arkhamu Razak Widiyanto Tri Handoko Winda Anista, Winda Wiwien Hadikurniawati Yohanes Suhari Yuli, Risvi Revita