Hermawan, Yusuf Dimas (2021) Analisis Brand Reputation berdasarkan Twitter Sentiment Analysis Studi Kasus Indihome. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Saat ini sebagian besar masyarakat menggunakan media sosial sebagai media untuk menyampaikan pendapat dan sebagian besar menggunakan Twitter. di twitter kita bisa mendapatkan banyak informasi tentang sentimen publik mengenai suatu barang atau jasa. Penelitian ini bertujuan untuk membuat analisis sentimen publik berupa sentimen positif, netral, dan negatif. Data masukan berupa data tweet konsumen untuk beberapa penyedia layanan internet (ISP) dan hasilnya akan menampilkan visualisasi data sentimen positif, netral, dan negatif. Analisis sentimen yang digunakan dalam penelitian ini adalah analisis sentimen fine-grained dengan metode berbasis leksikon. Leksikon yang digunakan adalah InSet (Indonesia Sentiment Lexicon. Hasil penelitian ini dapat digunakan oleh merek untuk memantau raputasi merek mereka di mata publik dan membantu menentukan kebijakan yang akan diambil di masa depan. Nilai sentimen yang diperoleh adalah 53% sentimen positif, 26% sentimen negatif, dan 21% sentimen netral untuk produk Indihome. 49% sentimen positif, 33,75% sentimen negatif, dan 17,25% sentimen netral untuk produk Firstmedia.
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Currently, most people use social media as a medium to express opinions and most of them use Twitter. on twitter we can get a lot of information on public sentiment regarding an item or service. This study aims to make an analysis of public sentiment in the form of positive, neutral, and negative sentiments. The input data is in the form of consumer tweet data for some internet service provider (ISP) and the results will display a visualization of positive, neutral, and negative sentiment data. Sentiment analysis used in this study is a fine-grained sentiment analysis with a lexicon-based method. The lexicon used is InSet (Indonesia Sentiment Lexicon) which was built by Fajri Koto and Gemala Y. Rahmaningtyas. The results of this study can be used by brands to monitor their brand raputation in the public eye and help determine policies that will be taken in the future. Sentiment score obtained was 53% positive sentiment, 26% negative sentiment, and 21% sentiment is neutral to the product Indihome. 49% positive sentiment, 33,75% negative sentiment, and 17,25% sentiment is neutral to the product Firstmedia.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTMT 658.834 3 Her a-1 2021 |
| Uncontrolled Keywords: | Analisis Sentimen, twitter, brand reputaion, lexicon, Sentiment analysis, twitter, brand reputation, lexicon |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing |
| Divisions: | Faculty of Creative Design and Digital Business (CREABIZ) > Technology Management > 61101-(S2) Master Thesis |
| Depositing User: | Yusuf Dimas Hermawan |
| Date Deposited: | 19 Aug 2021 06:02 |
| Last Modified: | 16 Mar 2024 03:18 |
| URI: | http://repository.its.ac.id/id/eprint/87350 |
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