Analisis Faktor Yang Mempengaruhi Penumpang Angkutan Umum Beralih Ke Transportasi Online Go-Jek Menggunakan Metode K-Means Clustering

Muhammad Ilyas Sahputra; Agung Triayudi; Albaar Rubhasy

doi:10.35870/jtik.v6i1.381

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Published: Jan 1, 2022

DOI: https://doi.org/10.35870/jtik.v6i1.381

Keywords:

Online Transportation Go-Jek Clusters Data Mining K-Means

Muhammad Ilyas Sahputra

Universitas Nasional

Agung Triayudi

Universitas Nasional

Albaar Rubhasy

Universitas Nasional

Abstract

The objectives of this research are; 1) Can find the results of the analysis of switching factors, namely the age data, and 2) Can find the results of the analysis of switching factors, namely the data on the travel time of public transportation, 3) Can find the results of the analysis of switching factors, namely the data on the travel time of Go-jek 4) Can find the results of the analysis of switching factors, namely the tariff data, and 5) Can find the results of the analysis of switching factors, namely the data that is easy to obtain. This study was designed to determine the results of the analysis of factors that influence the shifting of public transportation to Go-jek online transportation using the K-means clustering algorithm. The data collection technique in this study was by means of a questionnaire through the Go-jek community in Indonesia and secondary data taken from the internet media. Based on the results of the analysis that has been carried out on the analysis of factors that influence public transport passengers to switch to Go-jek online transportation using the K-means clustering algorithm, it is hoped that further researchers will test with other clustering algorithms, and the rapidminer software used as research material can be developed further. become more other features.

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How to Cite

Sahputra, M. I., Triayudi, A., & Rubhasy, A. (2022). Analisis Faktor Yang Mempengaruhi Penumpang Angkutan Umum Beralih Ke Transportasi Online Go-Jek Menggunakan Metode K-Means Clustering. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(1), 63–69. https://doi.org/10.35870/jtik.v6i1.381

Issue

Vol. 6 No. 1 (2022): JANUARY-MARCH 2022

Section

Computer & Communication Science

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Author Biographies

Muhammad Ilyas Sahputra, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Agung Triayudi, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Albaar Rubhasy, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

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Analisis Faktor Yang Mempengaruhi Penumpang Angkutan Umum Beralih Ke Transportasi Online Go-Jek Menggunakan Metode K-Means Clustering