Analisis Faktor Yang Mempengaruhi Penumpang Angkutan Umum Beralih Ke Transportasi Online Go-Jek Menggunakan Metode K-Means Clustering
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References
Rendy, Y., 2018. Analisis Faktor-Faktor Yang Mempengaruhi Permintaan terhadap Ojek Online (Studi Kasus Pada Go-Jek di Kota Malang). Jurnal Ilmiah Mahasiswa FEB, 7(1).
Lestari, A.D., 2018. Analisis Multivariat Clustering K-Means Pada Kabupaten/Kota Di Provinsi Jawa Tengah Berdasarkan Indeks Pembangunan Manusia Tahun 2017 Dengan Bantuan Software SPSS (Doctoral dissertation, Universitas Negeri Semarang).
Sundari, S., Damanik, I.S., Windarto, A.P., Tambunan, H.S., Jalaluddin, J. and Wanto, A., 2019, September. Analisis K-Medoids Clustering Dalam Pengelompokkan Data Imunisasi Campak Balita Di Indonesia. In Prosiding Seminar Nasional Riset Information Science (SENARIS) (Vol. 1, pp. 687-696).
Ningrat, D.R., Di Asih, I.M. and Wuryandari, T., 2016. Analisis Cluster Dengan Algoritma K-Means Dan Fuzzy C-Means Clustering Untuk Pengelompokan Data Obligasi Korporasi. Jurnal Gaussian, 5(4), pp.641-650.
Ramdani, A.L. and Firmansyah, H.B., 2018. Clustering Application for UKT Determination Using Pillar K-Means Clustering Algorithm and Flask Web Framework. Indonesian Journal of Artificial Intelligence and Data Mining, 1(2), pp.53-59.
Haris, A. and Hendrian, E., 2019. Sistem Monitoring dan Klaster Ketersediaan Energi Menggunakan Metode K-Means pada Pembangkit Listrik Tenaga Surya. CESS (Journal of Computer Engineering, System and Science), 4(2), pp.266-271.
Mulaki, S.F., Setiyawati, N. and Wijaya, A.F., 2018. Analisis Data Mahasiswa Menggunakan Algoritma K-Means Clustering sebagai Dasar Pelaksana Promosi. JBASE-Journal of Business and Audit Information Systems, 1(2).
Bootupacademyai, 2021. Lengkap, Data Mining Adalah? Pengertian Hingga Belajar Clustering, bootup.ai, 2019. https://bootup.ai/blog/data-mining-adalah/ (accessed Jun. 04, 2021).
Devipursitasari, 2021. Eksplorasi Data Mining Software (Rapid Miner), iMe (iLearning Media), 2013. https://ilearning.me/2013/10/08/eksplorasi-data-mining-software-rapid-miner/ (accessed Jun. 04, 2021).
Fadhilah, A.M., Wahyuddin, M.I. and Hidayatullah, D., 2020. Analisis Faktor yang Mempengaruhi Perokok Beralih ke Produk Alternatif Tembakau (VAPE) menggunakan Metode K-Means Clustering. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(2), pp.219-225.
Atmaja, E.H.S., 2019. Implementation of k-Medoids Clustering Algorithm to Cluster Crime Patterns in Yogyakarta. International Journal of Applied Sciences and Smart Technologies, 1(1), pp.33-44.
M, B, Tomy J., A., U, & Jacob, p., 2011. K- Means Clustering Student Data to Characterize Performance Patterns. International Journal of Advanced Computer Science and Applications, 1(3), 138–140
Durairaj, M. and Vijitha, C., 2014. Educational data mining for prediction of student performance using clustering algorithms. International Journal of Computer Science and Information Technologies, 5(4), pp.5987-5991.