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Journal : literasi nusantara

Development of Virtual Map Learning Media Based on Augmented Reality to Increase the Learning Interest of Grade IV Students Fatinah, Titin; Setyawan, Agung; Citrawati, Tyasmiarni; Fajrin, Nilamsari Damayanti
Literasi Nusantara Vol. 4 No. 3 (2024): Literasi Nusantara: July-October 2024
Publisher : Yayasan Citra Dharma Cindekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56480/jln.v4i3.1291

Abstract

In the digital era, ICT advancements have significantly influenced education, enhancing students' learning experiences. This study focuses on developing Augmented Reality (AR)-based learning media for fourth-grade Indonesian Language students at SDN Larangan Luar 2, Pamekasan. Using a constructivist approach, it addresses students' low interest and motivation in learning Indonesian and emphasizes the teacher’s role as a facilitator. The Research and Development (RnD) approach follows the ADDIE framework—analysis, design, development, implementation, and evaluation. Seventeen students participated in observations and interviews to assess their learning characteristics and needs. Findings indicate that traditional learning methods often render students passive, necessitating innovative teaching strategies. The study introduces an AR-based Virtual Map that merges digital objects with real-world elements to create an interactive learning experience. Validation results confirmed the media’s effectiveness, with high scores from learning design experts (86%), subject matter experts (84%), and instructional material experts (92%). The research highlights AR's potential in increasing students’ interest and motivation in learning Indonesian. It also serves as a reference for educators and developers in designing engaging and interactive teaching methods, ultimately contributing to more effective learning experiences.
Enhancing Collaborative and Communication Skills through the Integration of Socio-Technical System Models and Digital Platforms in Primary Education Citrawati, Tyasmiarni
Literasi Nusantara Vol. 5 No. 3 (2025): Literasi Nusantara: July-October 2025
Publisher : Yayasan Citra Dharma Cindekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56480/a8hcna46

Abstract

This study aims to develop and evaluate the effectiveness of a Socio-Technical System (STS) based learning model integrated with digital platforms to improve collaboration and communication skills among educators and students. The research employs a mixed-methods approach with an explanatory sequential design. Quantitative data is gathered through a quasi-experimental pretest-posttest control group design involving ten classes in Pamekasan, Madura, while qualitative insights are gained through case studies and in-depth interviews. Preliminary analysis indicates that current teacher-centered approaches and suboptimal technology integration hinder meaningful pedagogical transformation. The study anticipates that the STS-digital model, incorporating AI-driven feedback and structured collaboration trackers, will significantly increase student collaboration scores and active participation. This research bridges the gap between social interaction and technical infrastructure in primary education, providing a contextual implementation framework for digital transformation in diverse technological settings.
Analysis of Sales Prediction Using Linear Regression as a Data Analytics Learning Media for Students Nugroho, Agus Susilo; Citrawati, Tyasmiarni; Setyawan, Agung
Literasi Nusantara Vol. 6 No. 1 (2026): February
Publisher : Yayasan Citra Dharma Cindekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56480/jln.v6i1.34

Abstract

This research aims to analyze the application of the linear regression method in sales prediction and evaluate its use as a data analytics learning media for students. The method used is a quantitative descriptive approach with two main stages: sales data analysis using linear regression and collecting student perception data through Likert scale-based questionnaires. The dataset used consists of simple sales data that is easy for students to process and understand. The analysis results show that the linear regression method can be used to predict sales effectively and provides a clear overview of the relationships between variables. Furthermore, the questionnaire results indicate that students responded positively to the use of real datasets in learning, particularly in improving material comprehension, engagement in the learning process, and ease of data analysis. Thus, the use of linear regression with real datasets can serve as an effective alternative learning media to enhance student data literacy. This research is expected to be a reference for developing data-based learning methods in the field of data analytics.