Alfio Kusuma, . (2022) ANALISIS SENTIMEN PADA ULASAN APLIKASI INDODAX DI GOOGLE PLAY STORE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Indodax is one of the applications used as a platform for buying and selling crypto assets that have been registered with the Commodity Futures Trading Supervisory Agency (Bappebti) and can be downloaded for free on the Google Play store. Reviews are a feature found on the google play store that users use to provide an assessment of an application. The reviews received by the application may affect users who will download the Indodax application. Therefore, in this study, a sentiment analysis will be carried out on reviews on the Indodax application provided by users on the google play store. Sentiment analysis can be done by classifying reviews into negative reviews as well as positive reviews. The stage starts from taking indodax application review data on the google play store. Then the data is labeled negative or positive, then enters the data preprocess for data cleaning, followed by the weighting of the word Term Frequency-Inverse Document Frequency (TF-IDF) and classified using the Support Vector Machine method which results in an accuracy of 85% with a data sharing ratio of 80:20. In general, the negative sentiment on the Indodax application is related to withdrawing money which is considered expensive, the application often crashes and the slowness of the server running when buying and selling crypto assets, but when topping up the server balance runs fast and smoothly. While the positive sentiment on the Indodax application shows that the Indodax application is considered good, easy to use for buying and selling crypto assets and gets a quick response from the application.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1810511032] [Pembimbing 1: Ermatita] [Pembimbing 2: Helena Nurramdhani Irmanda] [Penguji 1: Jayanta] [Penguji 2: Nurhafifah Matondang] |
| Uncontrolled Keywords: | Sentiment Analysis, Classification, Crypto, Indodax, Support Vector Machine (SVM) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Alfio Kusuma |
| Date Deposited: | 05 Aug 2022 06:04 |
| Last Modified: | 10 Aug 2022 07:40 |
| URI: | http://repository.upnvj.ac.id/id/eprint/20211 |
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