Elfindah Princes
Universitas Bina Nusantara, Indonesia

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Digital Learning Design Innovation: Evaluating Behavioral Intention to Use Microlearning in Child Protection Professional Training in Indonesia Safira Ryanatami; Elfindah Princes
Attractive : Innovative Education Journal Vol. 8 No. 1 (2026): Attractive : Innovative Education Journal
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/aj.v8i1.1741

Abstract

The high prevalence of child protection cases necessitates continuous professional learning; however, conventional training models often lead to training fatigue due to time constraints, heavy workloads, and the demanding nature of frontline responsibilities. This study aims to evaluate learners’ acceptance of microlearning-based e-learning as an instructional design innovation for professional training in child protection in Indonesia. Guided by the Technology Acceptance Model (TAM), the study examines the influence of Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) on Behavioral Intention (BI). A quantitative approach was employed involving 136 respondents from cross-sectoral professional backgrounds within child protection ecosystems, selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that the proposed model demonstrates strong predictive power (R² = 0.661). PEOU shows a strong positive effect on PU, and both PEOU and PU significantly influence BI. Notably, PEOU contributes more substantially than PU in shaping learners’ intention to adopt the platform. These findings indicate that system usability, intuitive interaction, and flexibility of learning access are critical determinants of adoption among professional learners. Furthermore, ease of use is found to support the reduction of cognitive load, enabling learners to focus more effectively on complex and sensitive child protection materials. The study concludes that the success of digital learning innovations in professional contexts depends not only on perceived instructional benefits but also on the ergonomic quality of user experience (UX) that accommodates professionals’ work rhythms and learning needs
Camping Site Recommendation System Using Collaborative Filtering Method on Campsite Indonesia Mobile Application Emerald Shan Cakrawala; Elfindah Princes
Jurnal Ilmiah Akuntansi Kesatuan Vol. 13 No. 6 (2025): JIAKES Edisi Desember 2025
Publisher : Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jiakes.v13i6.4525

Abstract

Information overload in tourism applications poses significant challenges for users selecting relevant destinations from numerous options. This research implements Collaborative Filtering (CF) to address information overload in the Campsite Indonesia mobile application, where users face difficulties choosing from 246 camping locations. Three CF variants are evaluated: User-Based CF, Item-Based CF, and Hybrid Collaborative Filtering. The dataset comprises 746 users, 246 camping locations, 350 explicit feedback interactions (likes), and 7,306 implicit feedback interactions (views) from August 2022 to July 2025, with 94.05% sparsity in the user-item interaction matrix. The research employs CRISP-DM methodology encompassing data preparation, modeling, evaluation, and deployment phases. Experimental results demonstrate that Item-Based CF achieves superior performance with Hit Rate@10 of 0.2222 and NDCG@10 of 0.0743, significantly outperforming User-Based CF (HR@10: 0.0556, NDCG@10: 0.0215) and Hybrid CF (HR@10: 0.0000, NDCG@10: 0.0000). Item-Based CF also exhibits the highest coverage (41.10%) with 60 unique recommended locations. The system is deployed through a Flask-based REST API server with five endpoints for recommendation scenarios. This research contributes domain-specific insights for camping location recommendations in developing countries.