PENERAPAN ALGORITMA NAÏVE BAYES UNTUK ANALISIS SENTIMEN ULASAN PADA GOOGLE PLAY STORE TERHADAP SALAH SATU APLIKASI MOBILE BANKING

Aini Cahyaning Putri, . (2023) PENERAPAN ALGORITMA NAÏVE BAYES UNTUK ANALISIS SENTIMEN ULASAN PADA GOOGLE PLAY STORE TERHADAP SALAH SATU APLIKASI MOBILE BANKING. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

At this time the development of technology is growing rapidly so that every user can freely have any type of application and as much as desired such as Google applications that provide Play Store services. One of the features provided by the Google Play Store is a feature where users can provide an assessment in the form of a review or review of the product used. As at this time the Internet Banking service application from PT Bank Negara Indonesia (Persero) Tbk which can now be accessed via the smartphone of each customer. From these conditions, research was conducted on sentiment analysis on user reviews of one of the Mobile Banking application systems using the Naïve Bayes method. The amount of data crawled is 1000 data that does not yet have a label. Before the data classification process is obtained, the data must go through the labeling and data cleaning stage first before entering the text processing stage, then the data is given a weight on each word with Term Frequency-Inverse Document Frequency (TF-IDF) which later the word will be used as a feature. Then, because the data labeled positive and negative has a much different amount, the Synthetic Minority Oversampling Technique (SMOTE) method is applied which functions as a data balancer. The next stage is to divide the data which amounts to 80% and 20% and classified with the Naïve Bayes method. The results obtained from this study provide a value that the test data has accuracy with a percentage of 95%, precision with a percentage of 95%, recall with a percentage of 95%.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1910511115] [Pembimbing: Widya Cholil] [Penguji 1: Bambang Saras Yulistiawan] [Penguji 2: Iin Ernawati]
Uncontrolled Keywords: Sentiment Analysis, Classification, Mobile Banking, Naïve Bayes
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Aini Cahyaning Putri
Date Deposited: 20 Jul 2023 06:24
Last Modified: 14 Aug 2023 03:22
URI: http://repository.upnvj.ac.id/id/eprint/25394

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