Article Per Year (5 Year)
p-Index From 2020 - 2025
6.558
P-Index
This Author published in this journals
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 Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Community Development 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 Pengabdian Indonesia Bioma : Jurnal Biologi dan Pembelajaran Biologi
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 Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

 1 
Audit Teknologi Informasi Menggunakan COBIT 5 Domain DSS Pada Universitas Stikubank Semarang Daffa Iqbal Agselmora; Agus Prasetyo Utomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i4.2612

Abstract

Today's technology has become an important part of people's daily activities. All lines of fields are competing to create an information system that is useful to meet needs in achieving its goals. Included in the realm of education, especially in higher education in Indonesia. Universities began to slowly implement information technology-based systems to facilitate all administrative activities on campus. COBIT 5 is a framework that is intended to help organizations meet their goals and create optimal value in managing the governance of information technology. The purpose of this research is to audit the information technology governance of the smart campus system of the stikubank university in Semarang using the COBIT 5 framework to determine the level of asset security and encourage the achievement of organizational goals effectively. The results of the research on the smart campus information system audit at Stikubamk University Semarang reached a value of 3.89 in the maturity level process, which means the process only reached level 3, while the capability level process only reached level 2. upgrade to the next level.
Evaluasi Keberhasilan Sistem Informasi Universitas Agus Prasetyo Utomo; Novita Mariana; Saefurrohman Saefurrohman
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.3604

Abstract

Information system success evaluation research is not a new research topic. However, studying the factors that influence the success of information systems in universities is one that is quite interesting for some researchers. This study aims to examine how the influence of information quality, system quality, and service quality on satisfaction and the effect on net benefits perceived by users of university information systems. As many as 180 undergraduate and graduate students from 6 faculties at Stikubank University taken part in this study. The partial least squares-structural equation modeling (PLS-SEM) approach is used to validate the research model. Empirical results show that information quality, system quality and service quality have a significant positive relationship with user satisfaction for using university information systems, while user satisfaction also shows a significant negative relationship with system user perceived net benefits. The results obtained from this study provide reinforcement of the findings from previous studies related to the evaluation of information system success models. Keywords:.
Menganalisis Sentimen Review Pengguna Aplikasi Itemku dengan Menggunakan Algoritma Naive Bayes Classifier Ammar Zhorif; Agus Prasetyo Utomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 3 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i3.5533

Abstract

This research will apply sentiment analysis techniques to analyze user reviews for the Itemku platform using the Naïve Bayes Classifer algorithm. The aim is to classify user opinions as positive sentiment or negative sentiment based on their sentiment towards the Itemku platform. Data is collected from user reviews on Google Play Store using the appfollow website. The collected data underwent text preprocessing, including case folding, tokenizing, filtering, stemming, and TF-IDF weighting. This process converts unstructured review data into a structured format. The Naïve Bayes classification algorithm is then used to classify sentiments with 80% of the data used for training and 20% of the data for testing. The results reveal an accuracy rate of 76% in sentiment classification, demonstrating the effectiveness of the Naïve Bayes approach. Wordcloud visualizations are generated to identify keywords that are frequently mentioned in positive and negative sentiment reviews. The results of this study show high user satisfaction with the Itemku platform, as shown by the positive sentiments expressed in user reviews. This research contributes to understanding the opinions of users, provides insights to improve service quality and optimize user experience.
Co-Authors Adi Suliantoro Adiniyah, Nurkumala Afelia, Yolanda Dhea Ali Usman, Ali Ammar Zhorif Anang Setiawan Andiyan Bagas Alfiandika Anggelya, Adinda Ayu Arief Jananto Arya Nugraha, Achmad Aditya Audina Faza Azis, Dimas Luthfi Azizah, Siti Alfiyana Daffa Iqbal Agselmora Dea, Eva Aprillia Dewi Handayani Dewi Handayani Untari Ningsih Eko Nur Wahyudi Endang Lestariningsih Fatchurhohman, Fatchurhohman Fauzi, Muhammad Ali Rif’an Fiorera Cinta Ayunda Fitika Andraini Fitriasih, Widia Haikal Fikri Rejani Hari Murti Hariyanti, Dewi Hersatoto Listiyono Indah Rahmawati Indah Rakhmawati Afrida Isworo Nugroho Isworo Nugroho Jayanti, Erni Dwi Kasmari . Kusuma Ayu, Karisma Lingga Maulana Argenza Malik, Rizky Raihan Munandar, Kukuh Nadila Dara Rahmawati Nadila Dara Rahmawati Novita Mariana Nurkholisah , Nurkholisah Nursyamsiyah, Siti Pradana, Kelvin Putri Widyawati Rara Sri Artati Redjeki Rara Sriartati Redjeki Rejani, Haikal Fikri Reyhan Altair Pradana Rizky Azhar Pribachtiar Rosita, Eliana Saputra, Rizky Rangga Sari, Lupita Ratna Solly Aryza Sugiyamta Sugiyamta Sugiyamta Sugiyamta Sukoco Sukoco Sulastri Sulastri Sulistyaningsih, Henik Sunardi Sunardi Syah, Rizky Firman Teguh Khristianto Wahyu Arkhamu Razak Wardhani, Wahju Dyah Laksmi Winda Anista, Winda Wulandari, Diah Anik Yohanes Suhari Yuli, Risvi Revita