eprintid: 34065
rev_number: 10
eprint_status: archive
userid: 77
dir: disk0/00/03/40/65
datestamp: 2019-03-22 09:00:06
lastmod: 2019-03-22 09:00:06
status_changed: 2019-03-22 09:00:06
type: thesis
metadata_visibility: show
creators_name: ADINDA DWI ADISTI, NIM. 14610022
title: ANALISIS KLASIFIKASI MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL (STUDI KASUS: TINGKAT KEPUASAN MAHASISWA TERHADAP PELAYANAN DI FAKULTAS SAINS DAN TEKNOLOGI)
ispublished: pub
subjects: Matematika
divisions: jur_mat
full_text_status: restricted
keywords: Regresi Logistik Ordinal, Kepuasan Mahasiswa, Kategorik.
note: Moh. Farhan Qudratullah, M.Sc.,
abstract: Classification Analysis is one analysis that is used to classify data. The
method used in classification analysis is using ordinal logistic regression
method. Ordinal logistic regression is one of the statistical methods used to
analyze data with ordinal scale response variables while independent variables
can change continuous variables or categorical scale variables. Student
Satisfaction is used as data in this study, consisting of 4 scales, namely:
dissatisfied, quite satisfied, satisfied and very satisfied.The purpose of this
study are: 1) to determine the steps of classification analysis using ordinal
logistic regression. 2) to find out the ordinal logistic regression model
equation form in the case study of student service to satisfaction in the Faculty
of Science and Technology. 3) to find out the results of the classification
analysis on the application of service levels of student satisfaction in the
Faculty of Science and Technology.In this study, a clear population and
sample is needed so that research is more efficient. The population in this
study were active students of the Faculty of Science and Technology. Student
data obtained as many as 2,315. Then using accidental sampling techniques
obtained a sample of 96 respondents. The results of the classification of
opportunities answers to the application of satisfaction services Students in
the Faculty of Science and Technology using ordinal logistic regression
method is 1.5% the probability of an unsatisfied answer, 96.7% of the chances
of an answer satisfied enough and 1.8% of satisfied answers. With variables
that have a significant effect on general satisfaction in the Faculty of Science
and Technology are class schedules, ease of providing lecture system
information in the form of lecture guide books, cleanliness of toilets and
campus environment as well as the comfort of the gazebo.
date: 2018-08-24
date_type: published
pages: 133
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   ADINDA DWI ADISTI, NIM. 14610022  (2018) ANALISIS KLASIFIKASI MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL (STUDI KASUS: TINGKAT KEPUASAN MAHASISWA TERHADAP PELAYANAN DI FAKULTAS SAINS DAN TEKNOLOGI).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/34065/1/14610022_BAB%20I%2C_VI_DAFTAR%20PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/34065/2/14610022_%20BAB%20II_%20III_%20II_V.pdf