Open AccessMASEM Infrastructure in Underdeveloped Areas of Java Island
Author(s) -
Bambang Widjanarko Otok,
Agus Suharsono,
Purhadi Purhadi,
Rahmawati Erma Standsyah,
Harun Al Azies
Publication year - 2021
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.56.1.10
Subject(s) - java , merge (version control) , structural equation modeling , government (linguistics) , latent variable , computer science , regional science , econometrics , geography , economics , linguistics , philosophy , machine learning , artificial intelligence , information retrieval , programming language
This article develops a method of modeling meta-analytical structural equations (MASEM) which merge meta-analysis and modeling of structural equations on infrastructural issues in underdeveloped areas of Java Island in Indonesia. The implementation of this research is MASEM modeling using the approach of generalized least squares. The modeling is used to analyze the factors affecting the infrastructure of the underdeveloped areas in the provinces located on Java Island. This study uses three exogenous latent variables (economy, accessibility, and regional characteristics) and one endogenous latent variable (infrastructure). The results of the implementation of this study indicate that the "accessibility factor", which is an indicator of the average distance from the capital/district to access to health services, has a positive and significant effect on the infrastructure of underdeveloped areas of Java Island. This result can be used as a reference for the government in determining policy directions to tackle the problems of underdeveloped areas; in particular, in the infrastructure dimension.