Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah
This study examines the effectiveness of the ChatMu application in improving access to information for members of Muhammadiyah, a prominent socio-religious organization. The research employs a mixed-methods approach, combining qualitative and quantitative analyses to evaluate the application's performance, usability, and user satisfaction. Findings reveal that ChatMu significantly enhances the accessibility and accuracy of Muhammadiyah-related information, highlighting its potential as an innovative tool for addressing community-specific information needs. However, several usability challenges were identified, including navigation inefficiencies and inconsistencies in content delivery. These limitations suggest the need for further refinement to optimize user experience and functionality. Despite these issues, ChatMu demonstrates strong capabilities in providing relevant and reliable information, fostering digital literacy, and supporting information dissemination within the Muhammadiyah community. The study concludes that ChatMu represents a promising application of chatbot technology in empowering communities through improved access to knowledge. Future development efforts should focus on comprehensive usability testing, maintaining information relevance, and incorporating advanced interactive features to enhance engagement. With continuous improvements, ChatMu has the potential to become an effective medium for advancing literacy and knowledge-sharing in the Muhammadiyah community.
Authors
- Harun Joko Prayitno (ORCID: https://orcid.org/0000-0002-4997-5891)
- Eko Purnomo (ORCID: https://orcid.org/0000-0002-5920-5348)
- Dedi Gunawan (ORCID: https://orcid.org/0000-0003-1816-3142)
- Muhammad Syahriandi Adhantoro (ORCID: https://orcid.org/0000-0002-4267-5597)
- Rahayu Febri Riyanti
- Adi Jufriansah
Institutions
- Muhammadiyah University of Surakarta (ID)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-02-04
- DOI
- https://doi.org/10.3389/frai.2025.1446590
- Citations
- 3
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 7.44
Funders
- Universitas Muhammadiyah Surakarta