One of the goals of the Android Application is to improve the quality of the Academic Information System. This study uses the Kansei Engineering method where the emotional power of users is involved in getting design material that has a strong influence on the Android Application design concept. This study used 17 Kansei Word and 12 specimens as samples of Android applications. Kansei Word is selected from words related to an Android Application display. While specimen samples or Android applications are selected based on different characteristics between Android applications with each other. This study involved 35 participants. To describe the emotion concept to the E-Learning specimen structure, where there are several relationships between variables, multivariate statistical analysis is carried out by involving the Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA) and Factor Analysis (FA). The results of the CCA analysis of all participants; it can be seen that the emotional correlation between Kansei Word has two relationships, namely strong relationships and weak relationships. Strong relationships are characterized by high values rather than other Kansei Word values.

In this paper, a sound matching application was built on the pronunciation of Ayat Al-Quran as a learning medium for children using the Fast Fourier Transform (FFT) Algorithm and Divide Conquer (DC) that support learning independently. The system built in the final project is to utilize the Google API feature on android as voice matching. Furthermore, the incoming sound will convert into text form using the Google API. The conversion method used is a Fast Fourier Transform (FFT). The valuation method, Divide Conquer is used by calculating the sound proximity value of the Google API conversion results by matching Arabic text in the database. Based on the testing that has been done on the system testing. The results of the test found 61.1% accuracy for the appropriate reading and 38.9% for inappropriate reading.

Encyclopedia anatomy is an android application to introduce anatomy, equipped with a search feature, multiple choice quizzes and guess image quizzes. Due to some anatomical term is uptake from foreign languages and frequently typing errors by a smartphone user, then search feature in this application implement fuzzy string matching method which uses Levenshtein distance algorithm. However, the results obtained are still not accurate, then added method of splitting and indexing, so the results are more accurate and search process fast enough. Due to more simple than a book and supported by a good appearance, this application can get a positive response from the users.