Alfiandi Aulia Rahmadani

Work place: Department of Information Technology, State Polytechnic of Malang, Malang, Indonesia

E-mail: 1941170055@student.polinema.ac.id

Website: https://orcid.org/0009-0001-3659-5638

Research Interests:

Biography

Alfiandi Aulia Rahmadani completed her Bachelor of Applied Electrical Engineering degree from the State Polytechnic of Malang, Indonesia, in 2023, followed by a Master of Applied Electrical Engineering degree from the same institution in 2024. In 2024, she joined the research team at the State Polytechnic of Malang. She is currently a Ph.D. candidate at the Graduate School of Natural Sciences and Technology at Okayama University, Japan. Her research interests include environmental monitoring technologies, data transmission, Internet of Things, web technologies, and sensor systems technologies.

Author Articles
Empowering Self-Learning: Automated Assistance and Grading Mechanisms in Android Application Development

By Yan Watequlis Syaifudin Nobuo Funabiki Andi Baso Kaswar Asep Sunandar Suryani Dyah Astuti Triana Fatmawati Mustika Mentari Alfiandi Aulia Rahmadani

DOI: https://doi.org/10.5815/ijmecs.2026.04.07, Pub. Date: 8 Aug. 2026

The increasing dominance of Android devices has driven a surge in demand for skilled mobile programmers, prompting educational institutions to incorporate mobile programming courses into their curricula. This trend, combined with the rise of self-learning platforms, highlights the need for innovative educational technologies that enhance programming instruction. While automated assessment systems have improved the grading process in programming education, there remains a gap in mobile programming education, particularly due to the complexities of assessing Android applications. To address this, an innovative framework for Android application development is proposed, leveraging automated grading and assistance mechanisms. The framework employs a Test-Driven Development (TDD) approach, providing structured guidance and immediate feedback through automated testing tools including JUnit and Robolectric. A study involving 125 students revealed high engagement and success in basic topics, though challenges persisted in more complex areas, indicating a need for ongoing refinement and additional instructional support to elevate the learning experience in mobile application development.

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