TY - GEN
T1 - A meta confirmatory factor analysis of the underdeveloped areas in the Java Island
AU - Otok, Bambang Widjanarko
AU - Suharsono, Agus
AU - Purhadi,
AU - Standsyah, Rahmawati Erma
AU - Azies, Harun Al
N1 - Publisher Copyright:
© 2021 Author(s).
PY - 2021/9/28
Y1 - 2021/9/28
N2 - Underdeveloped areas are regencies whose territories and communities are less developed than other regions at the national level. The regions of Java island are faster-developing areas than other areas outside of Java, but there are still areas in Java that are classified as underdeveloped areas. The backwardness of the area is measured based on six main criteria, namely economy, human resources, infrastructure, regional financial capacity, accessibility, and regional characteristics. This research can be carried out by compiling a model on the influencing factors of underdeveloped areas with the meta-analysis CFA TSSEM approach. The results of this study show that the analysis of the structural model can be accepted to explain the underdevelopment of areas in Java based on the result the Goodness of Fit Indicates, it is the RMSEA < 0.008 so it can be confirmed that the indicators used in infrastructure variables, HR variables, and regional characteristic variables are suitable to be used to measure the underdeveloped areas in Java.
AB - Underdeveloped areas are regencies whose territories and communities are less developed than other regions at the national level. The regions of Java island are faster-developing areas than other areas outside of Java, but there are still areas in Java that are classified as underdeveloped areas. The backwardness of the area is measured based on six main criteria, namely economy, human resources, infrastructure, regional financial capacity, accessibility, and regional characteristics. This research can be carried out by compiling a model on the influencing factors of underdeveloped areas with the meta-analysis CFA TSSEM approach. The results of this study show that the analysis of the structural model can be accepted to explain the underdevelopment of areas in Java based on the result the Goodness of Fit Indicates, it is the RMSEA < 0.008 so it can be confirmed that the indicators used in infrastructure variables, HR variables, and regional characteristic variables are suitable to be used to measure the underdeveloped areas in Java.
UR - http://www.scopus.com/inward/record.url?scp=85116823017&partnerID=8YFLogxK
U2 - 10.1063/5.0059540
DO - 10.1063/5.0059540
M3 - Conference contribution
AN - SCOPUS:85116823017
T3 - AIP Conference Proceedings
BT - 6th International Conference on Basic Sciences 2020, ICBS 2020
A2 - Sutapa, I. Wayan
A2 - Elim, Hendry Isaac
A2 - Seumahu, Cecilia Anna
A2 - Batkunde, Hermanus
A2 - Matdoan, Muh. Yahya
A2 - Joris, Shielda Natalis
A2 - Maahury, Mirella Fonda
PB - American Institute of Physics Inc.
T2 - 6th International Conference on Basic Sciences 2020, ICBS 2020
Y2 - 4 November 2020 through 5 November 2020
ER -