Irawan, Michael Aria (2025) ANALISIS SENTIMEN PENILAIAN PENGGUNA TERHADAP RATING APLIKASI ACI – OJEK ONLINE INDONESIA DENGAN METODE NAÏVE BAYES. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
This research analyzes user sentiment towards the ACI-Indonesian Online Ojek application, which has a lower rating compared to its competitors on the Google Play Store. The objective of this study is to identify the main problems faced by the application based on user reviews, using the Naïve Bayes method for sentiment analysis and the 5W+1H method to formulate improvement proposals. The results of the sentiment analysis show a classification accuracy of 83%, with negative sentiment dominated by complaints regarding application performance, driver treatment, limited restaurant choices, and poor ordering processes. The implication of this research is the need for a comprehensive improvement in the performance quality of the ACI application. The 5W+1H method is used to integrate the results of the sentiment analysis into structured improvement proposals, focusing on the What, Why, Who, Where, When, and How aspects to enhance user experience. This research is expected to contribute to the understanding of the application of sentiment analysis in the development of online transportation applications, as well as provide practical recommendations to improve the service quality and competitiveness of the ACI application in a competitive market.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering |
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| Divisions: | Faculty of Engineering > Departement of Industrial Engineering | ||||||||
| Depositing User: | Irawan Michael Aria | ||||||||
| Date Deposited: | 08 May 2025 04:34 | ||||||||
| Last Modified: | 08 May 2025 04:34 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/36153 |
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