ANALISIS SENTIMEN KOMENTAR PADA SISTEM PENILAIAN KINERJA INSTRUKTUR TRAINING ICT (INFORMATION AND COMMUNICATION TECHNOLOGY) UIN SUNAN KALIJAGA MENGGUNAKAN NAÏVE BAYES CLASSIFIER

LAKSMINTA SASTI, NIM. 10651037 (2017) ANALISIS SENTIMEN KOMENTAR PADA SISTEM PENILAIAN KINERJA INSTRUKTUR TRAINING ICT (INFORMATION AND COMMUNICATION TECHNOLOGY) UIN SUNAN KALIJAGA MENGGUNAKAN NAÏVE BAYES CLASSIFIER. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Success in teaching is a benchmark in a learning process, so that the quality of teachers is required. One way to find out the quality of teaching, was referring to the comments regarding the learning process in the classroom by learners. Performance appraisal system training ICT trainers UIN Sunan Kalijaga is just one example of the system, which is used by participants for training in ICT, to provide assessment and feedback (comments) to the instructors (teachers) class, so that the ICT training coordinators administrators can monitor the performance of the trainer in easier way. The datas that used in this research is obtaindet from students of ICT UIN Sunan Kalijaga Yogyakarta during 2015 to 2016 and 2016 to 2017. There are 1725 datas. The collected datas were preprocessed and labeled manually, because it used Supervised Learning approach. Then the data is processed so that it becomes a classification model of Naïve Bayes method. Based on the test results with the ratio of 7:3 data comments, 70% of datas are the training data and 30% of them are the test data. Naïve Bayes Classifier method successfully perform the analysis and classification of comments sentiment in Indonesia language with accuracy of 85,31%.

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