GWR analysis is an expansion of a global regression analysis that generates parameter estimators to predict each point or location where the data is observed and collected. This analysis can accommodate spatial influence in an estimation of the regression model. One of the important issues that arise in GWR modeling is the non-constant variety between observations. Bayesian GWR analysis (BGWR) is considered as one of the best solutions to address the problems that arise in GWR modeling. Through the Bayesian approach, observations that potentially generate a non-constant variety can be detected and weighted directly so as to reduce their effect on model parameter estimation. In this study, the weights used are the adaptive Gaussian Kernel function, where the resulting bandwidth varies for each location of observation. This weighting is applied to compare the estimation results of GWR and BGWR model parameters. The results of the analysis show that the BGWR model is better than the GWR model in explaining the variables of literacy rate (%), percentage of households with joint latrine (%), and percentage of households receiving poor rice (%) to district poverty level in West Java Province. This is shown based on the Mean Square Error (MSE) value that is used as the model goodness criterion. The MSE value for the BGWR model is less than MSE for the GWR model of .

Keywords: spatial, bayesian, Geographically Weighted Regression, adaptive gaussian kernel, non-constant variance, poverty

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I Gde Wayan Asmarabawa, Sumarno, Abdul Hakim, and Luqman Hakim

Warship of the Republic of Indonesia (KRI) is the main tool of weapons systems (or called Alutsista) of the Navy in carrying out its main tasks. With such a vast territory of NKRI, KRI is a very important means of military transportation in securing the territorial sea territory to the Exclusive Economic Zone of Indonesia from the threat of countries or parties who wish to disrupt the NKRI from or by sea. Besides, KRI is an area of ​​”extra ordinary territory” so that it has a role as state territory in diplomatic provisions between countries. Seeing the strategic role of KRI in securing and upholding the sovereignty of NKRI in the sea, it is necessary to have a high alert operational alert, so that able to present every time at sea. The presence of KRI in the sea of ​​course must be supported by professional personnel with physical and mental condition and excellent health, supported by the condition of KRI is reliable, so as to carry out the main task maximally. In carrying out its main task, because it is in an exclusive and closed environment, KRI sailing takes a relatively long time, so it can cause psychological distress and depression for his crew. The purpose of this research is to know the influence among variables of Global Military Competition, State Finance, State/People’s Expectation, Selection of KRI Commander, Education Pattern for Navy Officers, Facilities and Infrastructure, Standard Operational Procedures, Monitoring and Evaluation System, Doctrine Enforcement and Environmental Health in KRI on Environmental Leadership KRI. In addition, the purpose of this study also found the most appropriate model in realizing Environmental Leadership in KRI. To know the causal relationship or relationship pattern among variables, then the technical analysis used in the research that is using Structural Equation Modeling (SEM). Based on the results obtained, the conclusion of this research explains that the Environmental Leadership in KRI requires the selection of good KRI Commander through fit and proper test, Education Pattern of Navy Officers who give cargo about environmental health, Completeness of SOP, Facilities and Infrastructure adequate, Monitoring And Clear Evaluation, Continuous Doctrine Enforcement, and Understanding and commitment on maintaining environmental health.

Keywords:environmental leadership, KRI, Structural Equation Modeling (SEM)

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