User Satisfaction Analysis of Paylater Services Using K-Means Algorithm in Campus
-
Syahrul Anwar
*
Sekolah Tinggi Manajemen Informatika dan Komputer LIKMI, Bandung,
Indonesia
- Nina Kurnia Hikmawati Sekolah Tinggi Manajemen Informatika dan Komputer LIKMI, Bandung, Indonesia
- Christina Juliane Sekolah Tinggi Manajemen Informatika dan Komputer LIKMI, Bandung, Indonesia (*) Corresponding Author
Abstract
In the 4.0-based digital era, the use of e-commerce is increasing. The convenience provided to e-commerce users is increasingly being considered by companies engaged in e-commerce. Paylater is a fairly new payment method among Indonesian e-commerce, so research is needed to improve the service and satisfaction of e-commerce users, especially those using the paylater payment method. The purpose of this study is to analyze user satisfaction with paylater services using the k-means algorithm on campuses in region 3 Cirebon. This research is also to find out the benefits of paylater used by students. This research is a type of quantitative research using the k-means algorithm to determine the classification of paylater user satisfaction in several e-commerce applications at several universities in region 3 Cirebon which is then clustered. The results of the study show that Cirebon students in the Campus 3 area are satisfied with services from companies or online shops that have paylater payment facilities
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References
N. Farida, A. Naryoso, and A. Yuniawan, “Model of Relationship Marketing and E-Commerce in Improving Marketing Performance of Batik SMEs,” 2017. [Online]. Available: http://jdm.unnes.ac.id
Ahmad Farki, Imam Baihaqi, and danBerto Mulia Wibawa, “Pengaruh Online Customer Review dan RatingTerhadap Kepercayaan dan Minat Pembelian pada Online Marketplace di Indonesia,” JURNAL TEKNIK ITS, vol. 5, no. 2, 2016.
A. D. Andriani et al., Transformasi Indonesia Menuju Cashless Society. TOHAR MEDIA, 2022.
E. Salsabella, “Tinjauan Hukum Islam Terhadap Praktik Jual Beli Menggunakan ShopeePayLater (Doctoral dissertation, IAIN Ponorogo).,” 2020.
Y. Maulana and H. Wiharno, “Indonesian Journal of Strategic Management Fintech P2P Lending dan Pengaruhnya Terhadap Pertumbuhan Ekonomi Indonesia,” Indonesian Journal of Strategic Management, vol. 5, no. 1, 2022, [Online]. Available: https://journal.uniku.ac.id/index.php/ijsm
H. Hiyanti, L. Nugroho, C. Sukmadilaga, and T. Fitrijanti, “Peluang dan Tantangan Fintech (Financial Technology) Syariah di Indonesia,” Jurnal Ilmiah Ekonomi Islam, vol. 5, no. 3, Jan. 2020, doi: 10.29040/jiei.v5i3.578.
Tri Kurnia Yunianto, “Riset Kredivo: Pengguna Paylater Meningkat 38%,” https://www.marketeers.com/, Jul. 2022.
T. A. Safitri, “The Development of Fintech in Indonesia,” in Proceedings of the 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019), 2020. doi: 10.2991/assehr.k.200529.139.
J. Jamaludin et al., Tren Teknologi Masa Depan. Yayasan Kita Menulis, 2020.
Nizar and Muhammad Afdi, “Financial Technology (Fintech): It’s Concept and Implementation in Indonesia,” Munich Personal RePEc Archive, vol. 5, 2017.
J. M. S. Waworundeng, G. Sandag, S. Ngeloh, and A. Lalong, “Analisis Tingkat Kepuasan Pelanggan terhadap Layanan Grab dan Gojek di Masa Pandemi Covid-19,” CogITo Smart Journal, vol. 8, no. 1, pp. 111–121, Jun. 2022, doi: 10.31154/cogito.v8i1.395.111-121.
Aziz Rahardyan, “Perbandingan Biaya dan Bunga Paylater: Kredivo, Indodana, Akulaku, dkk,” bisnis.com, 2022. https://finansial.bisnis.com/read/20220914/563/1576961/perbandingan-biaya-dan-bunga-paylater-kredivo-indodana-akulaku-dkk (accessed Nov. 03, 2022).
Admin Humas Kab.Cirebon, “Aturan Perjalanan Lintas Wilayah 3 Cirebon Diperluwes – Sekretariat Daerah Kabupaten Cirebon,” Website Setda Kabupaten Cirebon, 2021. https://setda.cirebonkab.go.id/aturan-perjalanan-lintas-wilayah-3-cirebon-diperluwes.html (accessed Nov. 04, 2022).
C. Prianto and S. Bunyamin, Pembuatan aplikasi clustering gangguan jaringan menggunakan metode K-Means Clustering, vol. 1. Kreatif, 2020.
G. Gustientiedina, M. H. Adiya, and Y. Desnelita, “Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan,” Jurnal Nasional Teknologi dan Sistem Informasi, vol. 5, no. 1, pp. 17–24, Apr. 2019, doi: 10.25077/TEKNOSI.v5i1.2019.17-24.
S. S. Nagari and L. Inayati, “IMPLEMENTATION OF CLUSTERING USING K-MEANS METHOD TO DETERMINE NUTRITIONAL STATUS,” Jurnal Biometrika dan Kependudukan, vol. 9, no. 1, p. 62, Jun. 2020, doi: 10.20473/jbk.v9i1.2020.62-68.
A. Singh, A. Yadav, and A. Rana, “K-means with Three different Distance Metrics,” Int J Comput Appl, vol. 67, no. 10, pp. 13–17, Apr. 2013, doi: 10.5120/11430-6785.
M. Faid, M. Jasri, and T. Rahmawati, “Perbandingan Kinerja Tool Data Mining Weka dan Rapidminer Dalam Algoritma Klasifikasi,” Teknika, vol. 8, no. 1, pp. 11–16, Jun. 2019, doi: 10.34148/teknika.v8i1.95.
S. Marzukhi, N. Awang, S. N. Alsagoff, and H. Mohamed, “RapidMiner and Machine Learning Techniques for Classifying Aircraft Data,” in Journal of Physics: Conference Series, Aug. 2021, vol. 1997, no. 1. doi: 10.1088/1742-6596/1997/1/012012.
M. H. Siregar, “Data Mining Klasterisasi Penjualan Alat-Alat Bangunan Menggunakan Metode K-Means (Studi Kasus Di Toko Adi Bangunan),” Jurnal Teknologi Dan Open Source, vol. 1, no. 2, pp. 83–91, 2018.
Hardhika, R.E.B. (2021). Pengalaman Pengguna Paylater Mahasiswa di Surabaya Commercium, Vol. 2, No. 02, 19-32.
Sari, R. (2020). Pengaruh Penggunaan Paylater terhadap Perilaku Impuls Buying Pengguna E-Commerce di Indonesia. Jurnal Riset Bisnis dan Investasi, Vol. 7, No.1, 44-57.
Pakphan, R.N., Warneri, & Budiman Jumardi. (2022). Pengaruh Penggunaan Paylater dalam Emarketing terhadap Perilaku Pembelian Impulsif Mahasiswa Pendidikan Ekonomi FKIP UNTAN. Jurnal Pendidikan dan Pembelajaran, Vol. 11, No. 9, 1321-1330.
Asja, H.J., Susanti, S., & Fauzi, A. (2021). Pengaruh Manfaat, Kemudahan, dan Pendapatan terhadap Minat Menggunakan Paylater: Sudi Kasus Masyarakat di DKI Jakarta. Jurnal Akuntansi, Keuangan, dan Manajemen (Jakman), Vol. 2, No. 4, 309-325.
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Copyright (c) 2022 Syahrul Anwar, Nina Kurnia Hikmawati, Christina Juliane
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