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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) International Journal of Artificial Intelligence Research Jurnal Komtika (Komputasi dan Informatika) Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Journal of Information Technology and Cyber Security Computing and Information System Journal Jurnal Komtika (Komputasi dan Informatika)
Uky Yudatama, Uky
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Sistem Pakar Diagnosis Hama dan Penyakit pada Tanaman Bunga Sedap Malam dengan Dempster Shafer Nindhy Prastiwi, Maulidina; Uky Yudatama, Uky; Agung Prabowo, Nugroho
Jurnal Komtika (Komputasi dan Informatika) Vol 3 No 2 (2019)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v3i2.3470

Abstract

Nightly flower plants are one of the flower plants that are much in demand by the public. However, as time goes by the production of savory flower plants determines which one of the causes is caused by pests and diseases. Introduction of pests and diseases and its control sometimes not all farmers know it. This research develops an expert system that can help farmers diagnose pests and diseases that attack night flowering plants with the Dempster Shafer method. The results of this study are the application of an expert system that uses pests and tuberose flower diseases. This system will issue this edition to the publication of night flower pests and diseases inputted by users. The amount of this trust value is the result of calculations using the Dempster Shafer method. The conclusion in this study is that an expert system using the Dempster Shafer method for approval to release pests and diseases of the nightly flower plants is very helpful in overcoming the problem of improving the quality of the nightly flower production.
RPG-Based Educational Game for Personal Data Security Awareness in Elementary School Students: A Design and Usability Study Fahlefi, Muhamad Rizal; Yudatama, Uky; Sasongko, Dimas; Nuryanto, Nuryanto; Nugroho, Setiya; Hendradi, Purwono
Journal of Information Technology and Cyber Security Vol. 4 No. 1 (2026): January
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.133044

Abstract

As more and more elementary school-aged children use the internet, they are more likely to be exposed to cybersecurity threats, especially when it comes to keeping their personal information safe. Various educational media have been developed to introduce cybersecurity concepts to children, but most remain passive and do not engage children in simulated real-life digital risk situations. This research addresses this gap by proposing an RPG-based educational game that integrates personal data security concepts into gameplay missions tailored to the cognitive characteristics of children aged 10–12. The goal of this study was to create and assess an educational game that could serve as a substitute learning tool for personal data security. The game was developed using the Game Development Life Cycle framework and implemented using RPG Maker MV. Usability testing involved 20 elementary school students and was carried out through direct observation of 13 game scenes. The success rate indicates the number of students who were able to complete each scene independently. The test results showed that the beginning and end of the game had low success rates, indicating issues with text readability, navigation clarity, and reflective elements. The results showed that iterative improvements in the beta phase improved interface clarity and the gameplay experience. The findings in this study indicate that usability-based improvements have an important role in the design of educational games for children, and RPG-based educational games have the potential to be interactive and contextual personal data security education media.
OPTIMIZATION OF LAYING DUCKS FEED COMPOSITION USING THE K-MEANS CLUSTERING ALGORITHM METHOD IN SECANG SUBDISTRICT Arifah, Nur; Primadewi, Ardhin; Yudatama, Uky
Computing and Information System Journal Vol. 1 No. 3 (2025): Data Science, UI/UX, and E-Government for Decision Making
Publisher : IndoCompt Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia has significant potential in duck farming, particularly as a source of eggs and meat. However, the productivity of local laying ducks remains low due to the traditional feed management practices still widely used. In Secang District, Magelang Regency, farmers often determine feed composition based on availability and peer recommendations without proper consideration of nutritional requirements. This leads to imbalanced nutrition, negatively affecting egg production. This study aims to provide optimal feed composition recommendations using the K-Means Clustering algorithm. The algorithm clusters feed data based on nutritional content and egg production performance. Through this approach, farmers are expected to gain more accurate and efficient information in determining feed composition, thereby improving productivity, reducing operational costs, and enhancing product quality. Furthermore, this research contributes to the development of knowledge in both information technology and animal husbandry by applying machine learning techniques in the agricultural sector.
Co-Authors AGUS PURWANTO Anggraini, Novi Kusuma Anwar, Tulkhah Mubasyir Ardhin Primadewi Auliya Burhanuddin Bambang Pujiarto Dimas Sasongko Emilya Ully Artha Endah Ratna Arumi, Endah Ratna Erlinda, Reza Ena Fahlefi, Muhamad Rizal Fatmala, Fungki Fendy Suhariadi Ghani, Mohd Khanapi Abd Harmadji, Dwi Ekasari Hasani, Rofi Abul Jalaluddin, Alif Kasih, Ginanjar Prianggoro Mahfuzah, S.N Maimunah, Maimunah Muhammad Abdul Karim, Muhammad Abdul Muhammad Resa Arif Yudianto Nindhy Prastiwi, Maulidina Nugroho Agung Prabowo NUR ARIFAH Nuryanto Nuryanto Pamungkas, Eko Joko Prabowo, N Agung Purwono Hendradi R Arri Widyanto Sambodo Sriadi Pinilih Sebastian, Devara Avila Setiya Nugroho Solikhin Solikhin Sugiarti, Rini Sukmasetya, Pristi Utari, Sudi Yudianto, Resa Arif Yulfikar, Muhammad Yulfikar, Muhammad