Accreditation Documents Profiling Based On The Used of English Terms Using Text mining Algorithm : A case study on 24 accreditation document

Until recently, study program accreditation is still the standard for evaluating the feasibility and quality of the education process worldwide. Normally, in the process of accreditation, one specific study program needs to prepare a report document that represents the whole process of education, especially from the standpoint of quality, and then submit it to the National Board of Accreditation. Self-assessment and evaluation are the keys to creating a proper accreditation document. In the case of Indonesia, the accreditation process is run by the National Board of Higher Education Accreditation (called BAN-PT). The study program must prepare and submit a document that represents the overall process of education by following the national standard and format determined by BAN-PT. In this study, we hypothesized that the text mining technique can be used to evaluate the accreditation document by analyzing the English terms that are used in the document. The analysis is done by scoring the number of English terms in one accreditation document and selecting the proper terms that are used. We hypothesize that the higher the score is obtained by the document the higher the national rank of accreditation was obtained by the document. In this study, 24 accreditation documents with approximately every document consisting of 200 pages within similar study programs were analyzed. A text processing technique was implemented to filter and clean the documents from unimportant words. English phrases were detected from each sentence in the document and then continued by extracting English terms further filtering to get the English terms is then performed. The selected English terms are then scored from each accreditation document. The validation process is done by mapping the scoring result with the Accreditation Rank obtained by the document. The result showed that the higher the score based on the English terms obtained by one document. The higher the Nasional Accreditation ranks too. However, two out of 24 documents did not show a similar pattern.