Ekstraksi TF-IDF untuk Kansei Word dalam Perancangan Interface E-Kinerja

E-performance web-based software is used to manage and assess the performance of employees in local government agencies. In process, some governments racing create develop applications. But there are still many applications that fail because they don't get a good response from their users this case State Civil Apparatus. Then it should be carried out supporting studies implementation process making One method determine what needed by application information systems accordance with desired emotionally Kansei Engineering method. Because through can investigated various points view encourage use system application. research, an program was created using Term Frequency-Inverse Document Frequency (TF-IDF) algorithm select several words few sentences article will as kansei word. After screening selection finally obtained 20 words. A total 30 participants were involved study, namely Apparatus Government Bandung City. Furthermore, results questionnaire processed multivariate statistical analysis which includes Correlation Coefficient Analysis (CCA), Principal Component (PCA), Factor (FA) Partial Least Square (PLS). passing analysis, main factor emotion concept design interface obtained, optimal factor. other factors alternative designing interface, Smart So obtain recommendations for produced approach form proposed matrix elements based on "Optimal" emotional