ANALISIS USER SENTIMENT APLIKASI GOOGLE MAPS, MAPS.ME DAN WAZE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

  • Ilham Fariz Asya Mubarok Universitas Buana Perjuangan Karawang
  • Baenil Huda Universitas Buana Perjuangan Karawang
  • Agustia Hananto Universitas Buana Perjuangan Karawang
  • Tukino Tukino Universitas Buana Perjuangan Karawang
  • Huban Kabir Universitas Subang

Abstract

Nowadays, the routing app is often used by many people, this app is very useful for users to find the best route by just entering the address code, this app can provide travel routes which can be taken by different kinds of vehicles. In Indonesia itself, there are several widely used route guidance apps with various positive and negative reviews. In this study, different types of apps namely Google Maps, Maps.me and Waze were used and the data is from user feedback through an online survey. The purpose of this study is to find out the users' ratings for each application which was used as the material for the study. Support Vector Machine method was used to process the data. For each app, 750 comments were received and the final result of maps.me was the app with the highest score based on 86.40% accuracy, 86.55% precision and 99.69% recall. The maps.me app received 68% positive reviews, followed by Waze with 29% and Google Maps with 3%. This makes maps.me the app with the highest score based on positive reviews.

Keywords: Google Play, Analisis Sentiment, Google Play Support Vector Machine

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Published
2023-01-10
How to Cite
[1]
I. Mubarok, B. Huda, A. Hananto, T. Tukino, and H. Kabir, “ANALISIS USER SENTIMENT APLIKASI GOOGLE MAPS, MAPS.ME DAN WAZE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE”, rabit, vol. 8, no. 1, pp. 69-74, Jan. 2023.
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Articles
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