Development of an Android-Based Educational Game Using Voice Recognition for German Vocabulary Pronunciation Training

Abstract

German language learning at SMA Negeri 1 Rindi Umalulu faces several challenges. Teaching methods remain conventional, focusing on reading and writing vocabulary from textbooks followed by group repetition, with minimal individual practice. As a result, many students lack confidence in pronouncing vocabulary independently due to fear of making errors. Supporting facilities such as language laboratories, audio-visual media, and interactive applications are very limited, making it difficult for teachers to provide accurate pronunciation models. Consequently, students often imitate vocabulary with incorrect intonation. In addition, learning motivation is low because vocabulary learning is seen as memorization rather than understanding proper pronunciation. This condition leads to weak speaking skills, especially in pronouncing basic German vocabulary such as greetings. This study used the Multimedia Development Life Cycle (MDLC) method to develop an interactive learning medium. The Fisher–Yates Shuffle algorithm was applied to randomize questions, and voice recognition technology was used to train pronunciation. The results showed an improvement in students’ pronunciation ability, with the average score increasing from 62.18 to 74.37. Black Box Testing achieved a 100% success rate, and the System Usability Scale (SUS) score reached 82.7, categorized as excellent.