Venora Falahudin, Ardan (2023) Analisis Sentimen Pada Opini Masyarakat Mengenai Perubahan KRIS BPJS Kesehatan Berbasis Lexical Resource di Instagram. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
BPJS will change the first, second, and third class systems to become a Standard Inpatient Class system (KRIS) so that the contribution system will be changed to suit the salaries of BPJS users and will be realized in 2025. Due to system changes at BPJS, people give opinions on Instagram. Therefore, it is necessary to analyze the comments to find out whether sentiment is positive, neutral or negative. With this analysis, it is hoped that the government can evaluate the regulations before they are realized, so that the public can accept system changes. This study uses the Rule Base Method based on Lexical Resources from Sentiwordnet. The results obtained by comparing 354 prediction data and 354 actual data are 43% accuracy, 43% recall, and 42% precision. This algorithm has poor diagnostic value.
Item Type: | Thesis (Undergraduate) | ||||||
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Uncontrolled Keywords: | Analisis Sentimen, Lexical Resource, Sentiwordnet, Rule Based Method | ||||||
Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika (Bondowoso) > Tugas Akhir | ||||||
Depositing User: | Ardan Venora Falahudin | ||||||
Date Deposited: | 13 Jul 2023 07:28 | ||||||
Last Modified: | 13 Jul 2023 07:31 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/24536 |
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