eprintid: 28454
rev_number: 13
eprint_status: archive
userid: 71
dir: disk0/00/02/84/54
datestamp: 2017-11-23 03:06:06
lastmod: 2017-11-23 03:07:31
status_changed: 2017-11-23 03:06:06
type: thesis
metadata_visibility: show
creators_name: LAKSMINTA SASTI, NIM. 10651037
title: ANALISIS SENTIMEN KOMENTAR PADA SISTEM PENILAIAN KINERJA INSTRUKTUR TRAINING ICT (INFORMATION AND COMMUNICATION TECHNOLOGY) UIN SUNAN KALIJAGA MENGGUNAKAN NAÏVE BAYES CLASSIFIER
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: Classification, Sentiment Analysis, Naïve Bayes Classifier, Supervised Learning
note: M. Didik Rohmad Wahyudi, ST., MT
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%.
date: 2017-05-30
date_type: published
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   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.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/28454/2/10651037_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/28454/1/10651037_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf