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All Journal JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya
Naurah Qolbia Salamah
Universitas Muhammadiyah Surakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics Physics Public Health Other

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An Augmented Reality-Based Boardgame for Anti-Corruption Education: Design, Development, and Evaluation Using the MDLC Model Naurah Qolbia Salamah; Irma Yuliana; Eko Prasetyo
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 8 No. 1 (2026): Juni 2026
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v8i1.16983

Abstract

The objective of this study is to develop an Augmented Reality (AR)-based educational board game called SiKilat, which stands for “Ready to Fight Corruption and Nepotism,” to help students better understand anti-corruption principles. The Multimedia Development Life Cycle (MDLC) was employed, consisting of five stages: initialization, blueprint design, asset preparation, product development, and testing and validation. The focus of the study is university students. Interviews, expert reviews, and pre- and post-tests were used as data collection methods. The results indicate that the developed medium is effective and has the potential to enhance student engagement in learning. The Wilcoxon test yielded a significance value of 0.00018 (< 0.05), and the average score increased from 4.9 to 9.3. Consequently, the SiKilat AR board game helps students understand anti-corruption principles and can serve as an alternative interactive learning medium
Prediksi Angka Pengangguran Menggunakan Regresi Linear Berdasarkan Indikator Pendidikan dan Pertumbuhan Ekonomi di Jawa Tengah Naurah Qolbia Salamah; Rindy Nabila Khoirunisa; Azzatul Ummu; Anita Rachma Nur Afisa; Hilda Zahra Hamidah
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 3 (2025): Lambda : Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i3.1538

Abstract

This study aims to predict the unemployment rate in Central Java Province using a linear regression method based on indicators of education level and economic growth. Secondary data from 2024, collected from various regencies and cities in Central Java, were analyzed to examine the relationship between the independent variables—education level and economic growth—and the dependent variable, unemployment rate. The analysis results show that an increase in the average years of schooling significantly reduces the unemployment rate, while economic growth also contributes to lowering unemployment, although its effect is smaller and varies across regions. The developed linear regression model is able to explain most of the variation in the unemployment rate and is used to project unemployment trends up to 2027, with a predicted decline in unemployment, assuming continued improvement in education quality and stable economic growth. These findings emphasize the importance of synergy between enhancing education quality and inclusive economic growth as key strategies to reduce unemployment in Central Java. However, unemployment is a complex issue influenced by other factors such as infrastructure, regional policies, and workforce readiness, thus requiring a comprehensive approach. This study is expected to provide a foundation for formulating more targeted policies to alleviate unemployment in the region.
Co-Authors Anita Rachma Nur Afisa Azzatul Ummu Eko Prasetyo Hilda Zahra Hamidah Irma Yuliana Rindy Nabila Khoirunisa