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All Journal Jurnal INSYPRO (Information System and Processing) Syntax Literate: Jurnal Ilmiah Indonesia JURNAL INSTEK (Informatika Sains dan Teknologi) DoubleClick : Journal of Computer and Information Technology Journal of Computer Science and Informatics Engineering (J-Cosine) Amalee: Indonesian Journal of Community Research & Engagement Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Hasana Journal Global Abdimas: Jurnal Pengabdian Masyarakat Jurnal Abdimas Kartika Wijayakusuma JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Sistem Cerdas dan Rekayasa Journal of Embedded Systems, Security and Intelligent Systems Journal of Information Technology and its Utilization
Andi Hutami Endang, Andi Hutami
Institut Teknologi Dan Bisnis Kalla
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Transportation Other

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Literature Review: IT Management and Information Systems Analysis Using COBIT 5 Nur Azizah Yusuf; Andi Hutami Endang
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.9339

Abstract

This study is a literature review that examines how the COBIT 5 framework is used to assess information technology (IT) management and information systems across various businesses. The study examined 100 scholarly papers to determine how COBIT 5 domains (EDM, APO, BAI, DSS, MEA) are distributed, what combinations of domains are used, what each study aims to assess, and how well IT processes are implemented. The study results indicate that the DSS and APO domains are the most commonly used. This is due to their strong focus on IT service operations and strategic planning. Furthermore, many studies integrate two to five areas to obtain more comprehensive evaluation results. These studies examine several aspects during the evaluation, such as process capability, strategic alignment, risk management, and information systems development. However, most studies indicate that IT process capability remains at levels 1 to 3. This study can serve as a foundation for organizations and researchers to design IT management improvement strategies that are more focused and aligned with organizational goals.
Learning Difficulty Levels Prediction of Elementary School Student Mathematics Using Machine Learning Model Rismayani Rismayani; Novita Sambo Layuk; Madyana Patasik; Andi Hutami Endang
Journal of Information Technology and Its Utilization Vol 8 No 1 (2025): June 2025
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.8.1.5906

Abstract

Difficulty learning mathematics in elementary school students is a significant problem and requires serious attention. This study aims to predict the difficulty level in elementary school students learning mathematics using a machine learning model, namely KNN. Exam scores, assignments, quizzes, and characteristics of students' difficulty level in learning mathematics were used as data in this study. A study used the KNN model to divide students into three categories of difficulty in learning mathematics: easy, moderate, and challenging. The results showed that the KNN model can accurately predict student’s difficulty levels in mathematics. Thus, applying this model can help teachers provide appropriate and effective interventions to students experiencing difficulties. Using machine learning technology, especially the KNN model, we found an accuracy of 95%. In addition, we can still accurately predict the difficulty level of elementary school students' mathematics learning. This study uses anonymous student data, the distribution of assignments, quizzes, and exam score ranges, and characteristics of mathematics learning difficulty levels. There are three prediction classes: high, medium, and low.
PELATIHAN DESIGN THINKING DAN PROTOTYPING UI/UX UNTUK IDE STARTUP SISWA SMA Syamsul Rijal; Aulia Rahmawati; Rezty Amalia Aras; Furqan Zakiyabarsi; Hany Alexandria; Muhammad Fachrul Salam; Yogi Hady Afrizal; Andi Jamiati Paramita; Andi Hutami Endang; Kiki Resky Ramdhani Sucipto; Widia Febriyani
Nusantara Hasana Journal Vol. 6 No. 2 (2026): Nusantara Hasana Journal, July 2026
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v6i2.2294

Abstract

The development of digital technology has created a new ecosystem that requires young people, particularly Generation Z, to become not only passive digital consumers but also creators of innovative solutions through the startup ecosystem. An empathy-based Design Thinking approach is considered effective in producing human-centered solutions while shaping resilient, solution-oriented young entrepreneurial character. However, students at SMA SPIDI Maros still faced difficulties in understanding business idea validation and UI/UX prototype design. This community service program aimed to provide Design Thinking and UI/UX Prototyping training to support students' startup idea development while enhancing their digital literacy. The method employed a two-session training and workshop, consisting of a Design Thinking presentation and a UI/UX Prototyping workshop using Figma, implemented through four stages: identifying participant needs, designing materials, conducting the activity, and evaluation with follow-up. The program was held on 28 January 2026 and attended by 32 participants from grades 10 to 12. Evaluation results showed all indicators fell into the "Very Good" category, with the overall usefulness indicator scoring highest at 4.84/5 (97% agreement), while ease of using Figma scored lowest at 4.41/5 due to limited workshop time. These findings underscore the importance of continuous, multi-session mentoring programs for high school students in the future.
E Increasing Artificial Intelligence Literacy for Information Systems Students thru Educational Workshops at Kalla Institute Andi Hutami Endang; Andi Jamiati Paramita; Abdul Hakim; Hany Alexandra; Yabes Dwinugroho; Furqan Zakiyabarsi; Anhar Januar Malik
Amalee: Indonesian Journal of Community Research and Engagement Vol. 6 No. 2 (2025): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v6i2.7267

Abstract

The rapid development of Artificial Intelligence (AI) is creating a gap between conventional curricula and the industry's need for AI literacy among students of Information Systems. Information Systems (IS) students, as future designers and developers of technology, play a crucial role in understanding and applying AI effectively and ethically. This community service activity aims to enhance the understanding of IS students at Kalla Institute regarding the concepts, trends, benefits, challenges, and ethical implications of the AI revolution in education. This service was realized through an internal workshop delivered directly by a lecturer from the Information Systems Study Program at Kalla Institute. The implementation method involved interactive lectures, discussions, and question-and-answer sessions that explored various aspects of AI in the educational context, ranging from basic concepts and practical applications to ethical considerations. Activity evaluation was conducted through pre-test and post-test questionnaires, as well as qualitative feedback, to measure the increase in participants' understanding and perceptions. The results showed a significant increase in understanding among student participants regarding the role and impact of AI in education, as well as high enthusiasm for utilizing AI for learning and future career development. This service activity successfully increased the understanding and readiness of Kalla Institute students to apply AI ethically and responsibly, contributing to the achievement of the institution's vision.
Co-Authors Abdul Hakim Abdul Hakim Achmad Zulfajri Syaharuddin Achmad Zulfajri Syaharuddin Alam, Samsul ANDI JAMIATI PARAMITA Andi Jamiati Paramita Anhar Januar Malik Aras, Rezty Amalia Arizahni, Keisyah Rifqah Aulia Rahmawati Dian Aprilia Khairunnisa Dimas Aditya Alfarizi Erdianza, Noor Febriyani, Widia Fitri, Rafly Putratama Fitriyani Fitriyani Fizar Syafaat Furqan Zakiyabarsi Haerunnisa, Dian Aprilia Hany Alexandra Hany Alexandria Hasyrif SY Ismaya Ismaya Ismaya Ismaya Jannah, Mardiatul JASMIN HAMID Jumald, Muhammad Khaerunnisa Nur Fatimah Syahnur Kiki Resky Ramdhani Sucipto Layuk, Novita Sambo Lilis Hajrah Amelia Madyana Patasik Marzuki R Muhammad Muhaimin Nur Novita Sambo Layuk Nur Azizah Yusuf Paramita, Andi Jamiati Pramita, Andi Jumiati Raden Mohamad Herdian Bhakti Ramdhani, Kiki Resky Resty Amalia Aras Riana, Mirandha Ariesca Rismayani Rismayani Sary , Cherry Arma Syafaat, Muhammad Syaharuddin, Achmad Zulfajri Syahruddin, Ahmad Dzulfajri Syamsul Rijal Yabes Dwinugroho Yogi Hady Afrizal Zakiyarbarsi, Furqon Zulfajri, Achmad