Predictive Index The Incidence Of Tuberculosis Children In South Kalimantan Province

The research objective to formulate predictive index of Tuberculosis Children in South Kalimantan province. Research methods combined mixed methods with a combination of research model Sequential Exploratory Design qualitative approach to support quantitative and centered on quantitative Sugiono 2012 case control design. The number of qualitative sample was 16 respondents to interviews and 48 respondents for FGD. The number of quantitative research sample was 216 consisted of 62 cases and 154 controls. Qualitative sampling by purposive sampling and quantitative Multi-stage Cluster random sampling on 3 stages. The analysis technique used is descriptive qualitative and Confirmatory Factor Analysis Confirmatory Factor Analysis measure the latent of variables by using path analysis path analysis with the program Linear Structural Relationships LISREL. The results showed a positive effect on the socio-cultural environment and significantly associated with the incidence of Tuberculosis Children. While the physical environment of the house positively and significantly with biological environments and the incidence of Tuberculosis Children and immunization and nutrition status of children positively and significantly to the incidence of Tuberculosis of the Child as well as to the biological environment positive and significant effect on the incidence of TB Children. Formulation Predictive Index of Tuberculosis Children in South Kalimantan province. is index 019 Physical Environment Home 044 053 Biological Environment Social Environment Culture 019 Status Immunization and Child Nutrition. The results of all the R-square value indicates that all of the R-square values 0.5. This means that a predictive model of TB Kids index has met the required Goodness of Fit. New findings from research of this dissertation are 1. Research Variable of social networks social support and collective efficacy were associated with the incidence of Tuberculosis Children. 2. Produce Predictive Index Tuberculosis Children in South Kalimantan Province.