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Mahmud Yunus
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Journal : SMATIKA

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Klasifikasi Sentimen Terhadap Badan Penyelenggara Jaminan Sosial (BPJS) Pada Media Sosial Twitter Menggunakan Naive Bayes Mahmud Yunus; Mochamad Husni; Muhammad Miqdad Mufadhdhal
SMATIKA JURNAL Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.577

Abstract

BPJS Kesehatan is listed as the agency that provides insurance financial services with the largest number of public complaints in the Ombudsman in 2019. The number of complaints on the official BPJS Kesehatan twitter account can be an indication of the level of satisfaction and public sentiment towards BPJS Kesehatan services. Twitter can be used to convey the experiences, ideas, complaints, opinions, or facts presented. The Tweet can be either a positive or a negative opinion. To find out, there needs to be an existing data processing process, so that it can be classified as a positive and a negative opinion. The classification method used in this study is the Naive Bayes Classifier. This study aims to see the tendency of the public towards BPJS Kesehatan based on sentiment classifications and to see the level of accuracy of the Naive Bayes Classifier method in classifying BPJS Kesehatan sentiments on Twitter social media. The data used were 780 tweet data from March to May 2020. The results of model testing using the Confusion Matrix resulted in an accurate performance of 86.25%, precision of 84.92%, recall of 87.78%, and f-measure of 86, 37%. As well as the results of testing the data in May 2020, there were 52% of tweets in the positive sentiment category, and 48% of tweets in the negative category
Co-Authors Abd. Rasyid Syamsuri Achmad Rony Syafrudin Ahmad Abdullah Al Kahfi, Khafid Al-Qodri, Haifa Tasya Andika Satyapratama, Andika Andrean, Muhammad Antonius Duty Susilo Apit Dulyapit Aris Syaifuddin Arita Marini Aulia, Nisa Tri Azidin, Raja Mohammed Firhad Raja Cahyati, Tiara Nur Deny Kristianto Pamuji Dian Wahyuningsih Dinayanti, Aulia Dinny Wahyu Widarti Dwi Prastiyo Hadi, Dwi Prastiyo Eka Yuniar Endang Wuryandini, Endang Fajri, Hardian Mei Firgol Muttaqien, Moh. Hasan Fitri, Afifah Aulia Ghulam, Adilahmad Harry Soekotjo Dachlan Haryono Haryono Helga Ayuddya kiswara, Helga Ayuddya Heri Purnama Pribadi Ifadha, Rahma Diva Imam Bukhori Irmantara Subagio Irsyad, Taufik Iva Sarifah jannah, nurul kholifatul Jauharul Maknunah Kayla, Kayla Khambali, Khambali Khoerul - Anwar Khoerul Anwar Kusumawati, Farida Linda Ika Sari Linda Zakiah M. As’ad Maharani, Reisha Ayu Mawaddah, Shafda Sadida Mira Amelia Amri, Mira Amelia Mochamad Husni Muarrifah, Sholehatul Muhammad Miqdad Mufadhdhal Muhammad Syaipul Hayat Nabilah, Manda Risti Nidya Chandra Muji Utami Noora Qotrun Nada, Noora Qotrun Nur Hayati Nurul Hidayat Oktaviani, Alifiyah Dyah Olivia Andiana Purnomo Budi Santoso Puspa, Riyani Retno Sundari Risma Renata Rita Alfin Rumlaklak, Ryan Markus Thobias Sa'diyyah, Salwa Sanjoyo, Bandung Arry Santoso, Khafidz Bayu Sigit Setyowibowo Sinyanyuri, Sonya Siregar, Yulia Elfrida Yanty Slamet Raharjo Sri Esti Trisno Sami Sri Suneki Sudarminto, Hadi Priya Sugiarto, Dinta Sujito Sujito Sumarno . Surip, Prayitno Suwardi, Rahma Dwi Amalia Trianingsih, Marini Triarsuci, Damara Usman, Herlina Widjianto Widjianto, Widjianto Yadi Mulyadi Yarmi, Gusti Yolla, Yolla Sekar Asti Yudhistianing Anugerah Ayu, Agashi Yuniarto, Andryas