eprintid: 71770
rev_number: 10
eprint_status: archive
userid: 12460
dir: disk0/00/07/17/70
datestamp: 2025-07-11 08:10:57
lastmod: 2025-07-11 08:10:57
status_changed: 2025-07-11 08:10:57
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Faiqotul Muna, NIM.: 21106010040
title: PERBANDINGAN MODEL REGRESI LOGISTIK BINER DAN METODE CLASSIFICATION AND REGRESSION TREES (CART) (STUDI KASUS: STATUS PENINGKATAN PENDAPATAN USAHA ONLINE PADA TAHUN 2020 TERHADAP TAHUN 2019 DI DIY)
ispublished: pub
subjects: 560
divisions: jur_mat
full_text_status: restricted
keywords: Regresi Logistik Biner, Classification and Regression Trees
(CART), Peningkatan Pendapatan, Klasifikasi Data
note: Sri Utami Zuliana, S.Si., M.Sc., Ph.D.
abstract: Binary logistic regression is an analytical technique to see the relationship
between predictor variables and response variables. Meanwhile, Classification and
Regression Trees (CART) is a flexible decision tree method, capable of handling
non-linear relationships and interactions between variables automatically. In 2020,
there has been a COVID-19 pandemic that has an impact on the global economy,
including MSMEs in Indonesia, where some MSMEs have succeeded in increasing
revenue by utilizing digital platforms. This study compares the performance of
binary logistic regression and Classification and Regression Trees (CART) in classifying
factors that influence the increase in online business income using SUSENAS
data from BPS in 2021. The research method used is quantitative analysis with a
statistical approach. The results show that binary logistic regression has a classification
accuracy of 76.29% with an APER of 23.71%, while the Classification and
Regression Trees (CART) have a classification accuracy of 72.16% with an APER
of 27.84%. In conclusion, binary logistic regression shows better results in classifying
factors that increase online business income, especially if the relationship
pattern in the data is relatively linear and the model assumptions are met.
date: 2025-05-21
date_type: published
pages: 67
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Faiqotul Muna, NIM.: 21106010040  (2025) PERBANDINGAN MODEL REGRESI LOGISTIK BINER DAN METODE CLASSIFICATION AND REGRESSION TREES (CART) (STUDI KASUS: STATUS PENINGKATAN PENDAPATAN USAHA ONLINE PADA TAHUN 2020 TERHADAP TAHUN 2019 DI DIY).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/71770/1/21106010040_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/71770/2/21106010040_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf