FAKTOR YANG MEMENGARUHI LAMA STUDI MAHASISWA (STUDI KASUS : MAHASISWA PROGRAM SARJANA FAKULTAS MIPA UNIVERSITAS UDAYANA)

This research aims to determine the factors that influence the length of college student study. The method used in this research is Multiple Classification Analysis (MCA). Multiple Classification Analysis (MCA) is a technique for examining the relationship between several independent variables and one dependent variable in the context of an additive model. MCA aims to determine how much influence the independent variables jointly have on the dependent variable and to find out how much influence each independent variable has on the dependent variable either by considering or ignoring the influence of other independent variables. MCA is designed for independent variables measured on a categorical scale, while the dependent variables are measured on a ratio or interval scale. Based on the results of this research, it was found that the factors that influence the length of college student study are gender, area of origin of school, and status of school.

Authors

Institutions

Publication Details

Journal
E-Jurnal Matematika
Published
2024-08-31
DOI
https://doi.org/10.24843/mtk.2024.v13.i03.p461
Primary Topic
Educational Research and Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FAKTOR YANG MEMENGARUHI LAMA STUDI MAHASISWA (STUDI KASUS : MAHASISWA PROGRAM SARJANA FAKULTAS MIPA UNIVERSITAS UDAYANA)

I GUSTI AYU MADE SRINADI, MADE SUSILAWATI, NI PUTU ROSANA PRAMUDITA IRDIAR
E-Jurnal Matematika
Educational Research and Methods
article

FAKTOR YANG MEMENGARUHI LAMA STUDI MAHASISWA (STUDI KASUS : MAHASISWA PROGRAM SARJANA FAKULTAS MIPA UNIVERSITAS UDAYANA)

I GUSTI AYU MADE SRINADI, MADE SUSILAWATI, NI PUTU ROSANA PRAMUDITA IRDIAR
article en

Abstract

This research aims to determine the factors that influence the length of college student study. The method used in this research is Multiple Classification Analysis (MCA). Multiple Classification Analysis (MCA) is a technique for examining the relationship between several independent variables and one dependent variable in the context of an additive model. MCA aims to determine how much influence the independent variables jointly have on the dependent variable and to find out how much influence each independent variable has on the dependent variable either by considering or ignoring the influence of other independent variables. MCA is designed for independent variables measured on a categorical scale, while the dependent variables are measured on a ratio or interval scale. Based on the results of this research, it was found that the factors that influence the length of college student study are gender, area of origin of school, and status of school.

E-Jurnal MatematikaVol. 13(3)
Udayana University (ID)
Openalex Percentile: Top 75%
Educational Research and Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FAKTOR YANG MEMENGARUHI LAMA STUDI MAHASISWA (STUDI KASUS : MAHASISWA PROGRAM SARJANA FAKULTAS MIPA UNIVERSITAS UDAYANA) — I GUSTI AYU MADE SRINADI, MADE SUSILAWATI, et al. · E-Jurnal Matematika (2024) | TGRS Research Map | TGRS