Sutarman Sutarman
Universitas Teknologi Yogyakarta, Sleman

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AR EduKids: Media Pembelajaran Pengenalan Hewan, Angka, dan Huruf Berbasis Augmented Reality untuk Anak Taman Kanak-Kanak Dara Shaliha Happyananda Imani; Sutarman Sutarman
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.845

Abstract

The learning process in Kindergarten (TK) still uses traditional media such as picture books and less interactive physical teaching aids, so children quickly get bored. Based on initial observations at Aba Jongke Islamic Kindergarten, Sleman, it was noted that more than half of the students lost focus after 10–15 minutes of learning activities. To address this problem, this study aims to design and develop an Augmented Reality (AR)-based learning application using the 4D Research and Development (R&D) model (Define, Design, Develop, Disseminate). The development process was validated by media and material experts, and tested on 1 teacher and 15 students as research subjects. The development results showed that the resulting AR application was able to increase student participation, increase learning motivation, and help them understand letters, numbers, and animals more quickly through a fun visual experience. In addition, teachers felt helped in delivering material because the class became more interactive and interesting. The final output of this study is an AR learning application for PAUD that is ready to be used as a supporting medium for learning activities in the classroom.
Pengembangan Sistem Booking Tenda dan Dekorasi Online Menggunakan Metode Waterfall dengan Integrasi Pembayaran Digital Amalia Nur Hanifah; Sutarman Sutarman
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.848

Abstract

The rental systems for tents and decoration services in many regions are generally still managed manually through notebooks or text messages, which often leads to various operational issues. Common problems include delayed booking confirmations, transaction recording errors, difficulties in checking schedule availability in real time, and inefficient customer service workflows. These conditions hinder business processes and reduce customer satisfaction, especially in the digital era that demands fast, accurate, and integrated services. Therefore, a system capable of automating the booking process and providing digital payment mechanisms is required to ensure faster, safer, and more efficient transactions. This study aims to design and develop a web- and mobile-based booking system for tent and decoration rentals with integrated digital payment features. The research was conducted as a case study at Karisma Arga Decoration, Ponjong, Gunungkidul, Yogyakarta, using observation, interviews, and literature study to understand user needs and existing business workflows. The application was developed using the Laravel framework for the backend and React Native for the mobile platform, supporting digital payment methfods such as QRIS and e-wallets. The implementation results indicate that the system improves booking efficiency by up to 60% and reduces recording errors by 80%. Additionally, the system provides customers with the convenience of placing orders anytime and enables administrators to manage orders centrally. These findings demonstrate that digitalization plays a significant role in improving the professionalism and effectiveness of tent and decoration rental services in the era of Industry 4.0.
Pengembangan Sistem Pakar Berbasis Fuzzy MADM dengan Metode SAW untuk Prioritas Penanganan Gejala Depresi Febrian Sania Putri Vina; Sutarman Sutarman
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6463

Abstract

Depression is a mental health disorder that is often unrecognized and can develop into a more serious issue if not addressed properly. One of the main challenges in managing depression is the lack of tools that can objectively measure the severity of symptoms and determine who requires immediate treatment. This study aims to develop an expert system based on Fuzzy Multiple Attribute Decision Making (MADM) with the Simple Additive Weighting (SAW) method to prioritize the treatment of depression symptoms based on criteria such as intensity, duration, and impact on daily life. The system goes through several stages, including data pre-processing, fuzzification, criterion weighting, decision matrix normalization, and ranking calculation using SAW, resulting in an accurate treatment priority ranking. The research findings show that this system can assist healthcare professionals in identifying individuals with the most severe symptoms who require immediate intervention, thereby speeding up treatment and improving the effectiveness of therapy provided.