SENTIMEN ANALISIS TERHADAP APLIKASI ALFAGIFT PADA GOOGLE PLAY STORE DENGAN ALGORITMA SUPPORT VECTOR MACHINE

MARDIANA, MAYA and Pacu Putra Suarli, Pacu (2024) SENTIMEN ANALISIS TERHADAP APLIKASI ALFAGIFT PADA GOOGLE PLAY STORE DENGAN ALGORITMA SUPPORT VECTOR MACHINE. Undergraduate thesis, Universitas Sriwijaya.

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Abstract

With the increasing digital literacy and the existence of the Alfagift application (alfamart's shopping application), many customers' shopping patterns are now shifting to online shopping. Because this application provides many secondary goods and primary goods. Alfamart as part of the largest retail network in Indonesia continues to innovate and adapt to market changes and current customer needs as quoted on the Alfamart page (2022). Alfagift is Alfamart's solution for the progress of the retail industry in the digital era. The very large number of reviews for the Alfagift application on the Google Play Store is an obstacle for companies in categorizing and analyzing reviews manually, which will take up significant time. One effective method for analyzing review data quickly and accurately is using text mining or what is generally referred to as sentiment analysis. Text mining is a field in data mining that focuses on extracting information from data in the form of text. Data sources generally come from documents, allowing analysis of the relationships between documents. The results of the analysis show that the majority of sentiments expressed by using the Alfagift application are neutral (1929 data). This reflects that there are still many questions about how the application works which is also based on the lack of good application systems both in terms of worker resources and software development which still confuses users so that the use of this application is not optimal. Based on sentiment analysis using the Alfagift application using the SVM method, the majority of sentiments expressed were neutral, followed by negative and positive sentiments. Positive sentiment highlights satisfaction with the convenience obtained from using the Alfagift application. Meanwhile, negative sentiment highlights indications of individual fraud and application deficiencies. Neutral sentiment consists of a variety of questions and statements that do not have direct sentiment regarding the impact of using the Alfagift application. Keywords :Sentiment Analysis, Google Play Store, User Satisfaction, Online Review, Support Vector Machine (SVM)

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, google Play Store, Kepuasan Pengguna, Online Review, Support Vector Machine (SVM)
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.6.E9 Management information systems -- Congresses.
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Maya Mardiana
Date Deposited:	24 May 2024 00:33
Last Modified:	24 May 2024 00:33
URI:	http://repository.unsri.ac.id/id/eprint/144918

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