Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm

Authors

  • Alfin Nurmakhlufi Universitas Stikubank
  • Muhammad Rafi Haidar Arsyad Universitas Stikubank
  • Wahyu Sri Mulyani Universitas Stikubank
  • Kristiawan Nugroho Universitas Stikubank

DOI:

10.33395/sinkron.v8i4.14136

Keywords:

BNI Mobile, Mobile Banking, User Satisfaction, K-Nearest Neighbors, Application

Abstract

Advances in Science and Technology continue to evolve in response to the demands of modern times, particularly in various fields such as banking. The development of information technology has transformed the way transactions are conducted from traditional to digital, accessible flexibly through Mobile Banking. BNI has created the BNI Mobile Banking application to facilitate customers in their transactions. The objective of this study is to investigate how the use of BNI Mobile can influence the ease of customers in conducting transactions. The data collection method used in this study is the K-Nearest Neighbors method, focusing on user experience with the BNI Mobile Banking application

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References

Afdal, M., Lufti Rahma Elita, Program Studi Sistem Informasi, Fakultas HR Sains dan Teknologi UIN Suska Riau Jl Soebrantas KM, and Panam Pekanbaru -Riau. 2022. “PENERAPAN TEXT MINING PADA APLIKASI TOKOPEDIA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR.” Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi 8(1).

Dwiki, Aluisius, Adhi Putra, and Safitri Juanita. 2021. “Analisis Sentimen Pada Ulasan Pengguna Aplikasi Bibit Dan Bareksa Dengan Algoritma KNN.” 8(2).

Isnain, Auliya Rahman, Jepi Supriyanto, and Muhammad Pajar Kharisma. 2021. “Implementation of K-Nearest Neighbor (K-NN) Algorithm For Public Sentiment Analysis of Online Learning.” IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 15(2):121. doi: 10.22146/ijccs.65176.

Masturoh, Siti, Risca Lusiana Pratiwi, M. Rangga Ramadhan Saelan, and Ummu Radiyah. 2023. “APPLICATION OF THE K-NEAREST NEIGHBOR (KNN) ALGORITHM IN SENTIMENT ANALYSIS OF THE OVO E-WALLET APPLICATION.” JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer) 8(2):78–83. doi: 10.33480/jitk.v8i2.3997.

Pratmanto, Dany, Fabriyan Fandi, Dwi Imaniawan, and Corresponding Author. 2023. Analisis Sentimen Terhadap Aplikasi Canva Menggunakan Algoritma Naive Bayes Dan K-Nearest Neighbors. Vol. 3.

Rahayu, Sri, Yumarlin MZ, Jemmy Edwin Bororing, and Rahmat Hadiyat. 2022. “Implementasi Metode K-Nearest Neighbor (K-NN) Untuk Analisis Sentimen Kepuasan Pengguna Aplikasi Teknologi Finansial FLIP.” Edumatic: Jurnal Pendidikan Informatika 6(1):98–106. doi: 10.29408/edumatic.v6i1.5433.

Ramadhansyah, Donny, Ahmad Asrofiq, and Yogi Yunefri. 2024. Analisis Sentimen Ulasan Penumpang Maskapai Penerbangan Di Indonesia… ZONAsi. Vol. 6.

Rival, M., Ridautal Lillah, Dian Sa’adillah Maylawati, Wildan Budiawan Zulfikar, Wisnu Uriawan, Agung Wahana, and Sejarah Artikel. 2023. “Implementasi Algoritma K-Nearest Neighbor (KNN) Untuk Analisis Sentimen Pengguna Aplikasi Tokopedia Informasi Artikel A B S T R A K.” Intellect : Indonesian Journal of Innovation Learning and Technology 02:171–84. doi: 10.57255/intellect.v2i2.296.

Rizki, Oleh, Nurul Nugraha, Eviana Tarigan, and Yuni Trisnawati. 2022. “SENTIMENT ANALYSIS ON OAKWOOD RESIDENCE CIKARANG HOTEL REVIEWS ON TRIPADVISOR WEBSITE USING K-NEAREST NEIGHBOR ALGORITHM.” 3(6).

Tri Dewi Septiani, Anggi, Adam Prayogo Kuncoro, and Pungkas Subarkah. 2023. Perbandingan Kinerja Metode Naïve Bayes Classifier Dan K-Nearest Neighbor Pada Analisis Sentimen Ulasan Mobile Banking Jenius. Vol. 3.

Tsania, Robiata, Salsabila Aditya Putri, Dian Eka Ratnawati, and Dwija Wisnu Brata. 2023. Perbandingan Naïve Bayes Dan K-Nearest Neighbor Untuk Analisis Sentimen Aplikasi Gapura UB Berdasarkan Ulasan Pengguna Pada Playstore. Vol. 7.

Wahyu Sholeha, Eka, Selviana Yunita, Rifqi Hammad, Veny Cahya Hardita, Teknologi Rekayasa Komputer Jaringan, and Politeknik Tanah Laut. 2022. “Analisis Sentimen Pada Agen Perjalanan Online Menggunakan Naïve Bayes Dan K-Nearest Neighbor (Sentiment Analysis of Online Travel Agent Using Naïve Bayes and K-Nearest Neighbor).” 3(4):203–8.

Wijati, Damar, Prima Dina Atika, Siti Setiawati, and Rasim Rasim. 2024. “Sentiment Analysis of Application Reviews Using the K-Nearest Neighbors (KNN) Algorithm.” PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 12(1):209–18. doi: 10.33558/piksel.v12i1.9490.

Wijaya, Deni, Rizki Adi Saputra, and Faldy Irwiensyah. 2024. “KLIK: Kajian Ilmiah Informatika Dan Komputer Analisis Sentimen Ulasan Aplikasi Samsat Digital Nasional Pada Google Playstore Menggunakan Algoritma Naïve Bayes.” Media Online 4(4). doi: 10.30865/klik.v4i4.1738.

Wulandari, Cindi, and Lukman Sunardi. 2024. “KLIK: Kajian Ilmiah Informatika Dan Komputer Analisis Sentimen Aplikasi Spotify Pada Ulasan Pengguna Di Google Play Store Menggunakan Metode Support Vector Machine.” Media Online 4(5):2588–95. doi: 10.30865/klik.v4i5.1762.

Zhafran Muflih, Hilmy, Allif Rizki Abdillah, and Firman Noor Hasan. 2023. “KLIK: Kajian Ilmiah Informatika Dan Komputer Analisis Sentimen Ulasan Pengguna Aplikasi Ajaib Menggunakan Metode Naïve Bayes.” Media Online 4(3):1613–21. doi: 10.30865/klik.v4i3.1303.

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How to Cite

Nurmakhlufi, A., Arsyad , M. R. H. ., Mulyani , W. S. ., & Nugroho, K. (2024). Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(4), 2490-2502. https://doi.org/10.33395/sinkron.v8i4.14136