Open AccessSegmentasi Mahasiswa S1 IPB terhadap Sistem Peminjaman Sepeda
Author(s) -
Tania Amalia Darsono,
Utami Dyah Syafitri,
Aam Alamudi
Publication year - 2018
Publication title -
xplore
Language(s) - English
Resource type - Journals
eISSN - 2655-2744
pISSN - 2302-5751
DOI - 10.29244/xplore.v2i1.74
Subject(s) - respondent , segmentation , preference , cluster analysis , cluster (spacecraft) , computer science , university campus , artificial intelligence , mathematics , statistics , computer network , political science , library science , law
IPB is the one campus that realize the Green Campus program. One of the elements in Green Campus is Green Transportation. In realizing this Green Transportation, IPB has several programs that include the Green Bike program. There are rules in implementation the Green Bike program related to the borrowing system. Because of the borrowing system, it is necessary to make the segmentation of S1 IPB students on bicycle borrowing system. Segmentation of respondent's characteristic used two step clustering method and the result is 3 optimal clusters. Then segmentation on respondent's preference to bicycle borrowing system used k-means method and the result is 2 optimal clusters. Segmentation of bicycle borrowing system based on respondent's characteristic and respondent's preference is 6 combinations of cluster using cross tabulation.