MODEL PENGURANGAN KADAR ALERGEN INHALAN DEBU RUMAH BERBASIS PENGELOLAAN DAN KARAKTERISTIK LINGKUNGAN INTERNAL RUMAH PADA PENDUDUK PERKOTAAN
Abstract: This studyis aimed
at designing a model to reduce allergen inhalant level onhouse dust based on
domestic environment management and characteristics in urban community. In this
descriptive analytic study, houses whose occupants were infected by atopic
respiratory diseases in Malang Regency were treated as the population. Using
cluster random sampling, 40 houses from six urban districts were taken as the
sample. Two types of variables were covered in this study; they were latent
variables and latent sub-variables. The former consisted of eight domestic environment
variables: education-economy, house dust management skill, house
infrastructure, occupant characteristics, physical environment, chemical dust
environment, biotic environment, and house dust allergen inhalant sources.
Meanwhile, the latter covered all the variables treated as indicators in every
latent variable. This model of allergen
inhalant reduction level is a structural model designed through
multidimensional relationships among eight latent variables that have been
theoretically and empirically developed. The relationship model between every
latent variable and its indicator(s) was reflectively arranged. The structural
model was analyzed using SmartPLS, a varian-based Structural Equational
Modeling (SEM) approach. The procedures of the analysis were adapted from
Wiyono’s (2011) and Jogiyanto’s (2009). The findings revealed that a
significant structural model was achieved when the multidimensional
relationships among the eight latent variables were directly and indirectly
arranged. This significant structural model of allergen inhalant reduction
level illustrated three hierarchical relationship levels. At the first level,
the house dust allergen inhalant sources variable was only directly
influencedby the biotic environment. The second level was maintained when the
biotic environment variable was directly influenced by the physical and
chemical environments, while the other four latent variables were indirectly
influenced. At the third level, the house dust chemical variable was directly
influenced by the house infrastructure and occupant characteristics, while the
house dust management skill and education-economy variables were indirectly
influenced.
Penulis: Ainur Rofieq
Kode Jurnal: jpbiologidd140221
