Text Mining of PeduliLindungi Application Reviews  on Google Play Store

Irwansyah Saputra; Taufik Djatna; Riki Ruli A. Siregar; Dinar Ajeng Kristiyanti; Hasbi Rahma Yani; Andri Agung Riyadi

doi:10.30998/faktorexacta.v15i2.10629

Text Mining of PeduliLindungi Application Reviews on Google Play Store

Irwansyah Saputra^(1*), Taufik Djatna⁽²⁾, Riki Ruli A. Siregar⁽³⁾, Dinar Ajeng Kristiyanti⁽⁴⁾, Hasbi Rahma Yani⁽⁵⁾, Andri Agung Riyadi⁽⁶⁾

(1)
(2) IPB University
(3) IPB University
(4) Fakultas Teknik dan Informatika, Universitas Multimedia Nusantara
(5) UIN Imam Bonjol Padang
(6) Universitas Nusa Mandiri
(*) Corresponding Author

Abstract

Aplikasi PeduliLindungi merupakan aplikasi buatan pemerintah indonesia untuk melakukan pelacakan dan penghentian penyebaran Covid-19. Ulasan terkait aplikasi tersebut tidak seluruhnya baik, hal ini dibuktikan dengan beragamnya peringkat bintang yang diberikan pengguna sehingga terjadinya kesulitan dalam melihat sentimen positif atau negatif terkait aplikasi tersebut. Penelitian ini bertujuan untuk mengklasifikasi ulasan mengenai aplikasi PeduliLindungi kepada dua kelas, yakni sentimen positif dan sentimen negatif. Algoritma klasifikasi yang digunakan adalah klasifikasi Naive Bayes Classifier (NBC). Hasil Menunjukkan Accuracy 85%, Precision 77,7%, Recall 98%, dan F1-Score 86,7%.

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DOI: http://dx.doi.org/10.30998/faktorexacta.v15i2.10629