Development of the Oral Examination Assessment System (SIPENILAI) in Japanese Using Latent Semantic Analysis (LSA) Algorithm
Fadhilah Siti Shalihah, Prima Dewi Purnamasari, Lea Santiar, Anak Agung Putri Ratna · 2020
SIPENILAI is an automatic oral exam and grading system that has been developed by the Electrical Engineering Department Universitas Indonesia. The system developed in this thesis uses the google speech recognition API and LSA methods for assessment. The Google speech recognition API processes voice input which is then converted as text. LSA method looks for similarities between two documents and the Frobenius norm for assessment scores. Based on testing that has been done the average value of SIPENILAI accuracy is 83.64% for fluent users and 76.89% for non-fluent users.