The Influence of Religiosity Toward Universitas Islam Indonesia Students Nationalism Using Structural Equation Modeling and Loglinear Model

DOI

10.2991/assehr.k.200129.147How to use a DOI?

Keywords

loglinear model, nationalism, religiosity, SEM, students

Abstract

The motivation of this research is to analyse the level of religiosity towards nationalism of Universitas Islam Indonesia (UII) students. In fact, lately, the issue of nationalism has sometimes been confronted with religiosity. This research wants to emphasize that UII is a university that promotes religion and nationality. Historical facts have talked a lot about it. The purpose of this research is to analyse the relationship between religiosity and nationalism. Data assembling uses a questionnaire method filled by new students. Data analysis utilizes Structural Equational Modelling (SEM) and Loglinear Model. SEM is a general statistical modelling technique which is widely used in behavioural sciences. Loglinear Model is a statistical method to study the relationship between more than two discrete variables. This statistical data analysis model is used to achieve the research objectives. The result is that religious variables show a positive trend. It also indicates that the more religious student the lower the nationalism. Vice versa, the best religious dimension in contributing to nationalism is obedience to parents and teachers. The most positive variable contributing to nationalism is showing unity. There is one important note that is noteworthy that there are still 2 out of 7 total indicators that show negative trends.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jaka Nugraha
AU  - Shubhi Mahmashony Harimurti
AU  - Muhammad Muhajir
PY  - 2020
DA  - 2020/02/06
TI  - The Influence of Religiosity Toward Universitas Islam Indonesia Students Nationalism Using Structural Equation Modeling and Loglinear Model
BT  - Proceedings of the 3rd International Conference on Learning Innovation and Quality Education (ICLIQE 2019)
PB  - Atlantis Press
SP  - 1192
EP  - 1204
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200129.147
DO  - 10.2991/assehr.k.200129.147
ID  - Nugraha2020
ER  -