CD Tesis
Analisis Preferensi Migrasi Dan Bermukim Ke Perumahan Di Wilayah Pinggiran Kota Pekanbaru
This study aims to determine what factors are the most dominant in influencing migration preferences and settling into housing in the suburban area of Pekanbaru City. The research method used in this study is a survey research method, by taking a sample of 400 respondents from the village of Rimbo Panjang, Tambang District and Karya Indah Village, Tapung District, Kampar Regency who had migrated and lived to the sample area for a maximum of the last 5 years. The variables proposed are the conditions of the residential environment, the availability of city facilities, the accessibility and availability of employment, the ease of credit and housing prices, as independent variables, regional development expectations as an intervening variable and migration and residence preferences as the dependent variable. Collecting the data on the six variables using questionnaires and direct interviews, and to measure the data using a lickert scale questionnaire. Furthermore, SEM analysis was carried out using the AMOS version 24.
From the results of the study, it was found that the magnitude of the influence of each variable on migration and living preferences with regional development expectations as an intervening variable in the suburbs of Pekanbaru City was consecutively: the total effect of the availability of city facilities was 0.250, the total effect of expectations and regional development is 0.245, the total effect of accessibility and availability of employment is 0.152, the total effect of credit convenience and housing prices is 0.118 has a significant effect on migration and living preferences with a probability value of below 5%. While the total effect of residential environmental conditions is not significant with a probability value of above 5%.
The results of the study using SPSS version 23 software obtained an Adjusted R Square value of 0.625, meaning that the variation of the independent variables affected the variation of migration and residence preferences, amounting to 62.5%, the remaining 37.5% was influenced by variations in other independent variables that were not included in the model.
Keywords : residential preference; residential environment; city facilities availability; accessibility and employment; credit and housing prices; expectations
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