Claim Missing Document
Check
Articles

Found 12 Documents
Search

KutaBaca: Developing and Implementation of an Offline Digital Library System to Enhance Literacy in the Low-Connectivity Environment of Wiyata Tech Village Purwakarta Venica, Liptia; Sodikin, Reisa Aulia; Herlina, Nina; Elviani, Ulva; Zahron, Aulia Aufa; Kurniawan, Muhammad Randy; Nugraha, Ariel Dwika; Putri, Dewi Indriati Hadi
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 7, No 1 (2026): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v7i1.60-69

Abstract

Achieving Quality Education (Sustainable Development Goals, or SDGs, Point 4) remains a significant challenge in rural areas characterized by low digital infrastructure. Specifically, Kutamanah Village in Purwakarta faces critical literacy issues, with its primary school's literacy rate tragically categorized as ‘red,’ compounded by a low regional Quality Education Index score of 46.70. This research aims to address this digital and literacy gap through the systematic development and implementation of KutaBaca, an Offline Digital Library system. Utilizing a Research and Development (R&D) methodology based on the Software Development Life Cycle (SDLC) model, the system was designed with a local server and an internal wireless network, allowing students and teachers to access a vast collection of e-books and learning modules without relying on an external internet connection. Evaluation focused on rigorous Functional Testing and a System Usability Scale (SUS) assessment involving 30 students and 7 teachers. The results demonstrate a 100% functional success rate and an overall average SUS score of 83.1 ('Excellent'). This confirms that KutaBaca is a reliable, user-friendly, and replicable technological innovation, effectively increasing access to information and serving as a sustainable solution to boost literacy and support SDGs 4, 10, and 17 in low-connectivity regions.
Evaluation of Student Satisfaction with the Use of ChatGPT in the Selected Chapters Course using the SUS Method Pratama, Aryo Bimo Putra; Widodo, Suprih; Elviani, Ulva
Journal of Educational Sciences Vol. 10 No. 3 (2026): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.10.3.p.359-368

Abstract

The use of artificial intelligence technologies such as ChatGPT has increasingly been integrated into student learning activities in higher education, including the Selected Capita course in the Information Systems and Technology Education Study Program (PSTI). However, student satisfaction and user experience with this technology have not been sufficiently evaluated using standardized instruments. This study aims to evaluate the usability and student satisfaction toward the use of ChatGPT in the Selected Capita course using the System Usability Scale (SUS). This study employed a quantitative survey approach, with the sample determined using the Slovin formula, resulting in 60 PSTI students who had taken the course as respondents. Data were collected through an online questionnaire distributed via Google Forms and analyzed using Microsoft Excel. The preliminary survey showed that 68.3% of students utilized ChatGPT in their learning activities. The SUS analysis produced an average score of 78.2, which falls into the Good category (Grade B+), indicating that ChatGPT is easy to use, intuitive, and provides a positive user experience. In conclusion, ChatGPT demonstrates good usability and is positively received by students, although improvements are still needed in usage limitations, response accuracy, and answer consistency.