Analisis Sentimen Ulasan Aplikasi Airbnb Pada Google Play Store Dengan Menggunakan Metode Support Vector Machine (SVM)

Adhitya Fahlevi, . (2025) Analisis Sentimen Ulasan Aplikasi Airbnb Pada Google Play Store Dengan Menggunakan Metode Support Vector Machine (SVM). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

With the rise of travelling activities in today's society, coupled with the rapid development of the times has created new business opportunities in the industry, especially the travelling industry, including the emergence of various travelling applications such as Airbnb. This application offers convenience in finding accommodation, but many users complain about problems, such as verification and payment difficulties. This study aims to analyse the sentiment of Airbnb app reviews to help developers improve product quality. The data used consisted of 1,547 reviews from the Google Play Store between January 2019 and April 2024. The analysis process involved data labelling, preprocessing for cleaning, and weighting using the TF-IDF method. The data was then classified using the Support Vector Machine (SVM) algorithm with a division of 80% training data and 20% test data. As a result, the model managed to achieve an accuracy rate of 90%. This research is expected to be a reference for application developers to improve user experience through in-depth sentiment analysis.

Item Type:	Thesis (Skripsi)
Additional Information:	[No.Panggil: 2010512133] [Pembimbing 1: Ruth Mariana Bunga Wadu] [Pembimbing 2: Nindy Irzavika] [Penguji 1: Ati Zaidiah] [Penguji 2: Anita Muliawati]
Uncontrolled Keywords:	Setiment Analysis, App Reviews, Airbnb, SVM
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User:	ADHITYA FAHLEVI
Date Deposited:	21 Feb 2025 02:11
Last Modified:	21 Feb 2025 02:11
URI:	http://repository.upnvj.ac.id/id/eprint/35301

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