Garuda - Garba Rujukan Digital

Komarudin, Ahmad

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Author-ID : 1865203

Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Analisis Sentimen Ulasan Aplikasi Identitas Kependudukan Digital Pada Play Store Menggunakan Metode Naïve Bayes Komarudin, Ahmad; Hilda, Atiqah Meutia
Computer Science (CO-SCIENCE) Vol. 4 No. 1 (2024): Januari 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i1.2955

One of the government's new innovations is the implementation of Digital Population Identity which is to bring transformation in the way people prove their own identity, making it easier, safer, and more efficient in various contexts of everyday life. It is known that on October 20, 2023 the Digital Population Identity application only received 3.3 stars from 32.7 thousand reviews, this shows that the application still has not reached the maximum level of satisfaction in serving the needs of the community. Therefore, sentiment analysis of user reviews is needed to gain deeper insight into how people respond to this application, so this research aims to obtain sentiment data from the Digital Population Identity application on the Play Store in the form of reviews from users and the results of the analysis can be used as evaluation material for application developers. Data collection is done using the scrapping method through Google Colab as many as 1000 reviews whose results will be labeled negative and positive. Then the data will be cleaned and simplified through preprocessing, and will be classified with the Naïve Bayes algorithm with 90% test data and 10% training data for each iteration. The classification results are then calculated performance with confusion matrix and obtained an accuracy value of 82.23%, precission of 76.08%, and recall of 94.02%.

Analisis Sentimen Ulasan Aplikasi Identitas Kependudukan Digital Pada Play Store Menggunakan Metode Naïve Bayes Komarudin, Ahmad; Hilda, Atiqah Meutia
Computer Science (CO-SCIENCE) Vol. 4 No. 1 (2024): Januari 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i1.2955

Salah satu inovasi baru pemerintah yaitu diadakannya Identitas Kependudukan Digital yang mana hal ini untuk membawa transformasi dalam cara masyarakat membuktikan identitasnya sendiri, membuatnya lebih mudah, aman, dan efisien dalam berbagai konteks kehidupan sehari-hari. Diketahui pada 20 Oktober 2023 aplikasi Identitas Kependudukan Digital hanya memperoleh 3,3 bintang dari 32,7 ribu ulasan. Penelitian ini bertujuan untuk medapatkan sebuah data sentimen dari aplikasi Identitas Kependudukan Digital pada Play Store berupa ulasan-ulasan dari pengguna. Pengambilan data dilakukan menggunakan metode scrapping melalui Google Colab yang hasilnya akan dilabeli negatif dan positif. Kemudian data akan dibersihkan dan disederhanakan melalui preprocessing, dan akan di klasifikasikan dengan algoritma Naïve Bayes. Hasil klasifikasi selanjutnya dilakukan perhitungan performance dengan confusion matrix dan memperoleh nilai accuracy sebesar 82.23%, precission sebesar 76.08%, dan recall sebesar 94.02%.

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Journal : Computer Science (CO-SCIENCE)