Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter
Insurance Administration Organization, which can be used by all people. However, this organization has received various criticisms from the public through social media, namely Twitter. This study aims to analyze public sentiment about the Indonesian Social Insurance Administration Organization on Tw...
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| Format: | Article |
| Language: | English |
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State Islamic University Sunan Kalijaga
2020-12-01
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| Series: | IJID (International Journal on Informatics for Development) |
| Subjects: | |
| Online Access: | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/2157 |
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| _version_ | 1849700557945569280 |
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| author | Siti Rahmawati Muhammad Habibi |
| author_facet | Siti Rahmawati Muhammad Habibi |
| author_sort | Siti Rahmawati |
| collection | DOAJ |
| description | Insurance Administration Organization, which can be used by all people. However, this organization has received various criticisms from the public through social media, namely Twitter. This study aims to analyze public sentiment about the Indonesian Social Insurance Administration Organization on Twitter. The method used in this research is the Naive Bayes Classifier (NBC) method and uses the Support Vector Machine (SVM) method as a comparison. The amount of data used was 12,990 tweets with a data collection period from September 14, 2019 - February 18, 2020. The study compared the two classifier models built, namely the classifier model with two sentiment classes and four sentiment classes. The accuracy results show that the SVM method has a better accuracy value than the NBC method. SVM has an accuracy value of 63.60% and 82.77% for the two sentiment classes in the four sentiment classifier model. The tweet classification results show that the public's conversation about the Indonesian Social Insurance Administration Organization on Twitter has a negative polarity value tendency. |
| format | Article |
| id | doaj-art-262aa75bb7e6409f875f1db2c89122f2 |
| institution | DOAJ |
| issn | 2252-7834 2549-7448 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | State Islamic University Sunan Kalijaga |
| record_format | Article |
| series | IJID (International Journal on Informatics for Development) |
| spelling | doaj-art-262aa75bb7e6409f875f1db2c89122f22025-08-20T03:18:13ZengState Islamic University Sunan KalijagaIJID (International Journal on Informatics for Development)2252-78342549-74482020-12-0192879310.14421/ijid.2020.09205957Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on TwitterSiti Rahmawati0Muhammad Habibi1Universitas Jenderal Achmad Yani YogyakartaUniversitas Jenderal Achmad Yani YogyakartaInsurance Administration Organization, which can be used by all people. However, this organization has received various criticisms from the public through social media, namely Twitter. This study aims to analyze public sentiment about the Indonesian Social Insurance Administration Organization on Twitter. The method used in this research is the Naive Bayes Classifier (NBC) method and uses the Support Vector Machine (SVM) method as a comparison. The amount of data used was 12,990 tweets with a data collection period from September 14, 2019 - February 18, 2020. The study compared the two classifier models built, namely the classifier model with two sentiment classes and four sentiment classes. The accuracy results show that the SVM method has a better accuracy value than the NBC method. SVM has an accuracy value of 63.60% and 82.77% for the two sentiment classes in the four sentiment classifier model. The tweet classification results show that the public's conversation about the Indonesian Social Insurance Administration Organization on Twitter has a negative polarity value tendency.https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/2157naïve bayes classifiersentiment analysisdata miningtwitterbpjs |
| spellingShingle | Siti Rahmawati Muhammad Habibi Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter IJID (International Journal on Informatics for Development) naïve bayes classifier sentiment analysis data mining bpjs |
| title | Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter |
| title_full | Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter |
| title_fullStr | Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter |
| title_full_unstemmed | Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter |
| title_short | Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter |
| title_sort | public sentiments analysis about indonesian social insurance administration organization on twitter |
| topic | naïve bayes classifier sentiment analysis data mining bpjs |
| url | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/2157 |
| work_keys_str_mv | AT sitirahmawati publicsentimentsanalysisaboutindonesiansocialinsuranceadministrationorganizationontwitter AT muhammadhabibi publicsentimentsanalysisaboutindonesiansocialinsuranceadministrationorganizationontwitter |