TY  - THES
N1  - M. Didik Rohmad Wahyudi, ST., MT
ID  - digilib28454
UR  - https://digilib.uin-suka.ac.id/id/eprint/28454/
A1  - LAKSMINTA SASTI, NIM. 10651037
Y1  - 2017/05/30/
N2  - 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%.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Classification
KW  -  Sentiment Analysis
KW  -  Naïve Bayes Classifier
KW  -  Supervised Learning
M1  - skripsi
TI  - ANALISIS SENTIMEN KOMENTAR PADA SISTEM PENILAIAN KINERJA INSTRUKTUR TRAINING ICT (INFORMATION AND COMMUNICATION TECHNOLOGY) UIN SUNAN KALIJAGA MENGGUNAKAN NAÏVE BAYES CLASSIFIER
AV  - restricted
ER  -