Article Per Year (5 Year)
p-Index From 2019 - 2024
3.023
P-Index
This Author published in this journals
All Journal JSI: Jurnal Sistem Informasi (E-Journal) Journal of Information Technology and Computer Science (JOINTECS) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal RESISTOR (Rekayasa Sistem Komputer) Systemic: Information System and Informatics Journal Jurnal Mantik JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Nasional Ilmu Komputer Nusantara Journal of Computers and its Applications Jurnal Pendidikan Teknologi Informasi (JUKANTI)
Aryo Nugroho
Universitas Narotama
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Mantik

 1 
Analisis dan Pemetaan Jumlah Penumpang Kereta Api di Indonesia Menggunakan Metode Statistik Deskriptif dan K-means Clustering: Analisis dan Pemetaan Jumlah Penumpang Kereta Api di Indonesia Menggunakan Metode Statistik Deskriptif dan K-means Clustering Benny Wijaya; Tresna Maulana Fahrudin; Aryo Nugroho
Jurnal Mantik Vol. 3 No. 2 (2019): Augustus: Manajemen, Teknologi Informatiak dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.774 KB)

Abstract

The development of the population in Indonesia continues to increase, which will require more transportation facilities. PT. Kereta Api Indonesia (KAI) is one of the means of transportation in Indonesia. At present the railroad transportation facilities in Indonesia are still not comprehensive, the regions that have railroad transportation facilities are Java (Jabodetabek and outside Jabodetabek), and Sumatra. By taking data on the number of train passengers from the Central Statistics Agency (BPS), the analysis and mapping of the number of train passengers using descriptive statistics and K-means clustering was carried out in this study. This study produced 3 clusters in which each cluster has a measuring value. Cluster 0 is medium, cluster 1 is high, and cluster 2 is low. Calculated using k-means clustering produces a cluster of 0 there are 63, cluster 1 there is 47, and cluster 2 there are 46 with an accuracy of about 97.9%, and calculated using descriptive statistics to produce cluster 0 there are 108, cluster 1 there is 34, and cluster 2 exists 14 with an accuracy of about 93.6%
Co-Authors Ach Syuhbanul Yaumi Achmad Musyaffa Taufiqi Agung Widodo Ahmad Khozin Alfarizi Kurniawan Lesmana Anggi Rizki Septiani Arief Kurniawan Awalludiyah Ambarwati Badrus Zaman Badrus Zaman Bagus Prasetyo Budiono Bayu Saputra Benny Wijaya Dedy Priyambodo Din Syamsudin Galih Hery Herlambang Imron Rosydi Jacky Ma'ruf Fatoni Kunto Eko Susilo Muhamad Nur Arifin Richardus Eko Indrajit Satria Eka Dicky Kurniawan Slamet Winardi Tresna Maulana Fahrudin Yosia Chrismas Decky Halundaka Zainul Zulfiqkar Zuda Pradana Putra