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Effects of Scratch Gamification with MDA on Students’ Engagement and Learning Outcomes Agustinus Sembiring; Heni Jusuf; Handri Santoso
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16434

Abstract

This study aims to examine the effect of Scratch-based gamification using the MDA (Mechanics–Dynamics–Aesthetics) model on students’ engagement and learning outcomes in primary education. A quasi-experimental method with a pretest–posttest design was applied to 115 students. Data were collected through tests and questionnaires and analyzed using paired sample t-tests and descriptive analysis. The results showed a significant improvement in learning outcomes, with a mean pretest score of 56.84 and posttest score of 71.03 (t = -26.57; p < 0.001). In addition, students’ engagement was categorized as high (mean = 3.73). These findings indicate that Scratch-based gamification integrated with the MDA model is effective in improving learning quality.
Design and Implementation of an Offline-Capable Drone Tracking System for Agricultural Spraying Verification Using GPS and Multi-Level Water Tank Monitoring Handri Santoso; Haryono
The Indonesian Journal of Computer Science Vol. 15 No. 4 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

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

Abstract

Agricultural spraying drones have become an effective solution for increasing productivity and spraying uniformity in modern agriculture. However, landowners often face difficulties verifying whether spraying operations have actually been performed within designated areas. Conventional verification methods rely heavily on manual observation, which is labor-intensive, time-consuming, and prone to inaccuracies. This research presents the design and implementation of an offline-capable Drone Tracker system capable of recording drone operational activities through the integration of high-precision GPS tracking and multi-level water tank monitoring. The proposed system records location, speed, positioning quality, and tank liquid level every second, storing all information locally on an SD Card. Since agricultural areas frequently lack reliable internet connectivity, a store-and-forward synchronization mechanism is implemented, allowing data to be uploaded automatically once internet access becomes available. Experimental implementation demonstrates that the system can provide objective evidence of spraying activities while maintaining reliable operation in remote agricultural environments. The proposed solution improves transparency, accountability, and operational monitoring of agricultural drone services.