Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Fachrurazy
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
SENTIMENT ANALYSIS OF TIX ID APPLICATION REVIEWS USING NAIVE BAYES AND SUPPORT VECTOR MACHINE Salwa Nur. JB; Lola Astri Nadita; Sri Hidayati; Fachrurazy; Muhammad Amin
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 1 (2025): DECEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v5i1.1599

Abstract

TIX ID is an online cinema ticket purchasing application that plays on a smartphone platform. Where users can buy cinema tickets anywhere and anytime without having to wait in line. The concept of purchasing cinema tickets is integrated with a third party, namely DANA as a digital money concept that is integrated with several large applications such as Tokopedia and Shopee. This study aims to Conduct text preprocessing (NLP) on TIX ID application user review data so that the data is ready to be used in the sentiment analysis process, Extract text features using the Term Frequency–Inverse Document Frequency (TF-IDF) method to represent reviews in numeric form, Apply the Naive Bayes and Support Vector Machine (SVM) algorithms in classifying user review sentiments into positive and negative categories, Evaluate the performance of the Naive Bayes and Support Vector Machine (SVM) models using accuracy, precision, recall, and F1-score metrics, Provides an overview of user sentiment towards the TIX ID application as a consideration for developers in improving the quality and service of the application.
Co-Authors Lola Astri Nadita Muhammad Amin Salwa Nur. JB Sri Hidayati