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All Journal Dinamika Publication Library and Information Science ABDI PUSTAKA: Jurnal Perpustakaan dan Kearsipan Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Journal of Educational and Cultural Studies Tadwin: Jurnal Ilmu Perpustakaan dan Informasi Jurnal Ilmiah Informatika dan Komputer Jurnal Dinamika Penelitian: Media Komunikasi Penelitian Sosial Keagamaan
Zatadini, Galuh Indah
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Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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A DSRM-Based Digital Library to Improve Reading Interest among Elementary School Students : MIN 7 Tulungagung Case Study Zatadini, Galuh Indah; Rusydiyah, Evi Fatimatur; Vebrianto, Rian
Jurnal Tadwin Vol 6 No 2 (2025): Tadwin: Jurnal Ilmu Perpustakaan dan Informasi
Publisher : Prodi Ilmu Perpustakaan dan Informasi Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/tadwin.v6i2.31488

Abstract

The low level of reading interest among Indonesian children reported by UNESCO to be merely 0.01% highlights an urgent need for innovative approaches to promote literacy engagement. The digital library emerges as a relevant solution; however, most existing services have not been specifically designed to cater to elementary school students. This study aims to develop a Digital Library based on the Design Science Research Methodology (DSRM) as a medium to enhance reading motivation among students at MIN 7 Tulungagung. The research employed the DSRM framework, encompassing the stages of problem identification, system design, prototype development, implementation, and evaluation. The primary users of the system were elementary school students, while validation involved expert review (validators) and direct user testing by students. Data collection techniques included observation, questionnaires, and documentation. The findings indicate that the developed Digital Library system achieved overall ratings in the “good” to “very good” categories. The user interface (UI) aspect obtained the highest score of 93.75%, followed by user compatibility (87.50%) and system functionality (87.50%). Conversely, data reliability and security received the lowest rating, at 75.00%. Implementation testing with students also demonstrated highly positive responses, with the indicator “Willing to use the application again” achieving a score of 95%. The students appeared enthusiastic, demonstrated independent use of the application, and exhibited increased motivation to read after exploring its features. In conclusion, the Digital Library developed using the DSRM approach has proven to be both feasible and effective in enhancing reading interest among elementary school students. Future work is recommended to strengthen data security mechanisms and expand the diversity of reading materials to further optimize the system’s contribution to children’s literacy development.  
Design and Development of a WhatsApp Chatbot-Based Expert System Using the Depth-First Search Algorithm for Thesis Topic Recommendation Zatadini, Galuh Indah
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/6c7k7s60

Abstract

The rapid development of digital technology has encouraged the creation of various intelligent systems that can support decision-making processes, one of which is an expert system. In the academic environment, students often encounter difficulties in determining appropriate thesis topics that align with their areas of interest. Therefore, this study aims to develop an expert system integrated with a WhatsApp chatbot to assist students in identifying suitable thesis themes based on their academic interests. The system employs the Depth-First Search (DFS) algorithm as a problem-solving approach due to its flexibility in exploring decision paths within the knowledge base. The expert system is implemented through a WhatsApp chatbot interface to ensure ease of use, as the messaging interface is already widely familiar among university students. This approach allows users to interact with the system naturally without the need to learn a new interface. The results of system testing indicate that the developed expert system effectively assists students in determining thesis topics. Evaluation results show an accuracy level of 95.4%, demonstrating that the proposed system provides reliable recommendations. Furthermore, the use of a chatbot-based interface enhances user accessibility and usability. In conclusion, the integration of an expert system with the DFS algorithm and a WhatsApp chatbot interface provides an effective and user-friendly solution for supporting students in selecting appropriate thesis topics based on their interests.
Co-Authors Adhistya Erna Permanasari Evi Fatimatur Rusydiyah Fadliyah, Amidana Hikmatal Fatimah, Afiyatul Nahdhiyanto, Ahmadi Abdul Shomad Faiz Noor Akhmad Setiawan Raden Mohamad Herdian Bhakti Shomad F.N, Ahmadi Abdul Vebrianto, Rian Yustiani, Intan Zahro, Ummi