Al Kabir, Alimuddin Hasan and Basuki, Setio and Wicaksono, Galih Wasis (2019) Analisis sentimen kritik dan saran pelatihan aplikasi teknologi informasi (PATI) menggunakan algoritma support vector machine (SVM). Repositor, 1 (1). pp. 39-46. ISSN 2714-7975
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Abstract
Public opinion is one of many instrument that can be used to evaluate of an event. This research based on several problems, they are (1) quality improvement are necessary for Pelatihan Aplikasi Teknologi Informasi, (2) too much of data make the participant’s opinion that has been collected has not been maximally utilized. Criticism and suggestions datas are taken from 2016/2017th school year in amount of 1050. Support Vector Machine is used as a method in sentiment analysis. The data training process will produce the best hyperplane used as a reference to determine which sentiment class is much appropriate for a sentence. The test is done by dividing the dataset into the test data as much as 20% and the training data as much as 80% so it can be done the analysis process up to 5 times iteration with different data arrangement. The test results show the calculation of Accuracy, Precision, Recall, and F-Measure generated by system is equal to 82,08%, 83,42%, 81,16%, and 81,82%.
| Item Type: | Article |
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| Keywords: | Analisis; Sentimen; Support Vector Machine; SVM; PATI; Opinion |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering > Department of Informatics (55201) |
| Depositing User: | Galih Wasis Wicaksono |
| Date Deposited: | 02 Apr 2020 06:01 |
| Last Modified: | 02 Apr 2020 06:23 |
| URI : | http://eprints.umm.ac.id/id/eprint/60929 |
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