Analisis Sentimen Terhadap Penggunaan Aplikasi Astro Menggunakan Algoritma Naïve Bayes

Authors

  • Stevan Amadeo Prasetyo Universitas Pradita, Tangerang
  • Wahyu Tisno Atmojo Universitas Pradita, Tangerang

DOI:

https://doi.org/10.30865/mib.v7i4.6750

Keywords:

Sentiment Analysis, Confusion Matrix, Google Play Store, Naïve Bayes, Quick Commerce

Abstract

Astro is a quick commerce application that focuses on providing fast groceries delivery services within less than an hour. It was established in 2021 under PT Astro Technologies Indonesia. Quick commerce applications are relatively new in Indonesia, and customer sentiments play a crucial role in determining the acceptance of this category within the society. Through reviews available on Google Play Store, we can gauge whether the majority of the populace holds a positive or negative sentiment towards it. The Astro app has been downloaded by over one million users, with a rating of 4.6 and more than 11.2 thousand reviews on Google Play Store. A total of 1,820 reviews were successfully obtained, and after preprocessing and data cleaning, 1,646 reviews remained. Subsequently, the data was labeled using the Naïve Bayes algorithm, categorizing sentiments into positive and negative. The results showed 1,213 reviews, or 74%, expressed a positive sentiment, while 433 reviews, or 26%, conveyed a negative sentiment. Using the confusion matrix, the classification performance achieved an accuracy of 63%, with a class recall of 61.58% for True Positive (TP) and 69.97% for True Negative (TN). The class precision for True Positive (TP) was 83.93%, and for True Negative (TN) was 38.36%. Based on the analysis, it can be concluded that the majority of Astro app users have a positive sentiment. However, a notable portion holds a negative sentiment, providing valuable insights to address concerns raised by users with negative sentiments.

Author Biography

Stevan Amadeo Prasetyo, Universitas Pradita, Tangerang

Information System student

References

F. V. Sari and A. Wibowo, “ANALISIS SENTIMEN PELANGGAN TOKO ONLINE JD.ID MENGGUNAKAN METODE NAÃVE BAYES CLASSIFIER BERBASIS KONVERSI IKON EMOSI,†Jurnal SIMETRIS, vol. 10, no. 2, pp. 681–686, 2019.

I. S. K. Idris, Y. A. Mustofa, and I. A. Salihi, “Analisis Sentimen Terhadap Penggunaan Aplikasi Shopee Mengunakan Algoritma Support Vector Machine (SVM),†J Inf Sci, vol. 5, no. 1, pp. 32–35, Jan. 2023, doi: 10.1177/0165551510388123.

eMarketer Editors, “Worldwide ecommerce will approach $5 trillion this year,†eMarketer. Accessed: Nov. 02, 2023. [Online]. Available: https://www.insiderintelligence.com/content/worldwide-ecommerce-will-approach-5-trillion-this-year

GWI, “Weekly Online Purchase January 2023,†We Are Social. Accessed: Nov. 02, 2023. [Online]. Available: https://wearesocial.com/id/blog/2023/01/digital-2023/

M. Schorung, “Quick commerce - will the disruption of the food retail,†France, 2022.

Statista Market Insights, “Quick Commerce - Worldwide,†Statista. Accessed: Nov. 02, 2023. [Online]. Available: https://www.statista.com/outlook/dmo/online-food-delivery/grocery-delivery/quick-commerce/worldwide#revenue

Hanadian Nurhayati-Wolff, “Quick Commerce - Indonesia,†Statista. Accessed: Nov. 02, 2023. [Online]. Available: https://www.statista.com/outlook/dmo/online-food-delivery/grocery-delivery/quick-commerce/indonesia

Y. Sitoto, T. Allo, V. Sofica, N. Hasan, and M. Septiani, “Bianglala Informatika Penggunaan Metode Naïve Bayes Dalam Mengklasifikasi Pengangguran Pada Desa Bojong Kulur,†Bianglala Informatika, vol. 10, no. 1, p. 2022, 2022.

H. Setiawan and I. Zufria, “Analisis Sentimen Pembatalan Indonesia Sebagai Tuan Rumah Piala Dunia FIFA U-20 Menggunakan Naïve Bayes,†vol. 7, no. 3, pp. 1003–1012, 2023, doi: 10.30865/mib.v7i3.6144.

A. Gormantara, “Analisis Sentimen Terhadap New Normal Era di Indonesia pada Twitter Menggunakan Metode Support Vector Machine,†in Konferensi Nasional Ilmu Komputer (KONIK) , 2020, pp. 1–5.

S. Lestari, S. Saepudin, P. Studi, S. Informasi, F. Sains, and D. Teknologi, “Support Vector Machine: Analisis Sentimen Aplikasi Saham di Google Play Store,†Jusifo, vol. 7, no. 2, pp. 81–90, 2021.

R. Sari, “Analisis Sentimen Pada Review Objek Wisata Dunia Fantasi menggunakan Algoritma K-Nearest Neighbor (K-NN),†Jurnal Sains dan Manajemen, vol. 8, no. 1, pp. 10–17, 2020

E. Fitri, Y. Yuliani, S. Rosyida, and W. Gata, “Analisis Sentimen Terhadap Aplikasi Ruangguru Menggunakan Algoritma Naive Bayes, Random Forest Dan Support Vector Machine,†TRANSFORMTIKA, vol. 18, no. 1, pp. 71–80, 2020

A. I. Tanggraeni and M. N. N. Sitokdana, “Analisis Sentimen Aplikasi E-Government Pada Google Play Menggunakan Algoritma Naïve Bayes,†Teknik Informatika dan Sistem Informasi, vol. 9, no. 2, pp. 785–795, 2022.

I. Farhani, D. Suhartanto, and T. Suhaeni, “Prosiding The 13th Industrial Research Workshop and National Seminar Bandung,†in Prediksi Penerimaan Layanan E-Grocery Bahan Makanan Lokal di Indonesia, 2022, pp. 13–14.

A. E. Setiyono, C. Chandrawatisma, R. Helga, S. Fanandi, and P. Heriyati, “ANTECEDENTS OF E-LOYALTY AS RESEARCH FOR THE QUICK COMMERCE INDUSTRY,†Interdisciplinary Social Studies, vol. 2, no. 12, pp. 2287–2299, 2023.

R. Wahyudi et al., “Analisis Sentimen pada review Aplikasi Grab di Google Play Store Menggunakan Support Vector Machine,†JURNAL INFORMATIKA, vol. 8, no. 2, pp. 200–207, 2021

M. Muslimin and V. Lusiana, “Analisis Sentimen Terhadap Kenaikan Harga Bahan Pokok Menggunakan Metode Naive Bayes Classifier,†Budidarma, vol. 7, no. 3, pp. 1200–1209, 2023, doi: 10.30865/mib.v7i3.6418.

R. Apriani et al., “ANALISIS SENTIMEN DENGAN NAÃVE BAYES TERHADAP KOMENTAR APLIKASI TOKOPEDIA,†Jurnal Rekayasa Teknologi Nusa Putra, vol. 6, no. 1, pp. 54–62, 2019.

D. Diandra Audiansyah, D. Eka Ratnawati, and B. Trias Hanggara, “Analisis Sentimen Aplikasi MyXL menggunakan Metode Support Vector Machine berdasarkan Ulasan Pengguna di Google Play Store,†Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 6, no. 8, pp. 3987–3994, 2022

P. G. Aryanti and I. Santoso, “ANALISIS SENTIMEN PADA TWITTER TERHADAP MOBIL LISTRIK MENGGUNAKAN ALGORITMA NAIVE BAYES,†IKRAITH-INFORMATIKA, vol. 7, no. 2, pp. 133–137, 2023

A. Mustopa, S. Khotimatul Wildah, G. Wijaya, W. Gata, S. Agustiani, and S. Nusa Mandiri, “Pengaruh Media Terhadap Pengambilan Keputusan Dalam Menjalankan Program Keluarga Berencana Dengan Algoritma Decision Tree,†Paradigma, vol. 22, no. 2, pp. 145–152, 2020, doi: 10.31294/p.v21i2.

Downloads

Published

2023-10-31

Issue

Vol. 7 No. 4 (2023): Oktober 2023

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).