Designing and quality testing of “Digichip” virtual simulation software of Android platform for mobile-virtual learning supporting vocational mechatronics engineering

Titih Rejyasmito Hadi, Universitas Negeri Yogyakarta, Indonesia
Eko Marpanaji, Universitas Negeri Yogyakarta, Indonesia

Abstract


Technology enhancement in any life aspects is undeniably crucial to face the globalization era. A strategic approach to touch any life aspect is gained through education. Supporting this educational long-term goal, this study aims to: (1) produce learning media in the form of a virtual-learning simulation software, which is capable of operation on mobile devices to facilitate mobile, portable, effective, economical, and operationally-safe learning; (2) test the developed software quality in terms of the functional aspects of suitability, maintainability, portability, and usability (ISO/IEC 25010). The subjects of this Research and Development (R&D) study were class XI students of Mechatronics Engineering at SMTI Yogyakarta. The process of designing and testing software uses the V-model type Software Development Life Cycle (SDLC). Unit testing was done through the white-box technique with the base-path test, flowgraph, and independent path. The testing for integration, system, and acceptance used Black-box techniques. The study shows that: (1) V-models were used to design the "DigiChip" virtual simulation software to support virtual learning and mobile learning through the software development stage; (2) The software quality testing based on ISO/IEC 25010 shows that in the functional aspects suitability, all features function properly (very decent), its maintainability is of MI 84 (easy maintenance), it gains 100% portability, or can be operated on all Android OS kernels (very feasible), and its usability is 86.18% (very feasible) with Cronbach's Alpha 0.841 (good). Ninety percent of media experts and 100% of material experts consider that the developed software is very feasible.


Keywords


simulation; virtual learning; mobile learning; mechatronics

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DOI: https://doi.org/10.21831/jpv.v9i2.23570

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