ANALISIS PENGARUH HARGA, LOKASI, BANGUNAN DAN LINGKUNGAN TERHADAP KEPUTUSAN KONSUMEN MEMBELI RUMAH
Abstract
The aim of research to determine the effect together no variables influence the price, the location, the building and the environment to the consumer decision to buy a house in Rainbow Housing Grand Residence in Balikpapan.
Results of analysis with simultaneous testing obtained the F-count equal to 94.937, while F table 2.45 with 95% confidence level (α = 0.05), the F-count = 94.937> F-table = 2.45 at sig 0.000 < 0.05 and obtained correlation coefficient (R) = 0.876 This value means that there is a strong correlation between variables influence price variable (X1), location (X2), Building (X3), Environment (X4) against Decision buy (Y) residential house Rainbow Grand Residence Balikpapan because of the correlation coefficient (R) = 0.876 nearing 1. While the magnitude of the coefficient of determination (R ²) = 0.768 indicates that the contribution of variables influence price variable (X1), location (X2), Buildings (X3 ), Environment (X4) against Decision buy (Y) house in a residential Rainbow Grand Residence Balikpapan amounted to 76.8% and the remaining 23.2% is contributed by other variables not enter the analysis of this research by obtaining these values means that the first hypothesis that the variable price, location, building, and environment together have an influence on consumer decision to buy a house in Rainbow Housing Grand Residence in Balikpapan proven true and accepted.
The test results are Partial known that variable location (X2) the dominant influence on the variable The decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan with the results of the correlation coefficient partial (r) of 0.486 and a value of t count = 5.964 > t sig = 1.96 at the table was 0.001 <0.05, which means there is significant influence variable location (X2) to variable The decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan. The hypothesis that variables influence the dominant location of the Decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan proven.
Keywords: variable Price, Location, Building, Environment and Decisions Buy
Results of analysis with simultaneous testing obtained the F-count equal to 94.937, while F table 2.45 with 95% confidence level (α = 0.05), the F-count = 94.937> F-table = 2.45 at sig 0.000 < 0.05 and obtained correlation coefficient (R) = 0.876 This value means that there is a strong correlation between variables influence price variable (X1), location (X2), Building (X3), Environment (X4) against Decision buy (Y) residential house Rainbow Grand Residence Balikpapan because of the correlation coefficient (R) = 0.876 nearing 1. While the magnitude of the coefficient of determination (R ²) = 0.768 indicates that the contribution of variables influence price variable (X1), location (X2), Buildings (X3 ), Environment (X4) against Decision buy (Y) house in a residential Rainbow Grand Residence Balikpapan amounted to 76.8% and the remaining 23.2% is contributed by other variables not enter the analysis of this research by obtaining these values means that the first hypothesis that the variable price, location, building, and environment together have an influence on consumer decision to buy a house in Rainbow Housing Grand Residence in Balikpapan proven true and accepted.
The test results are Partial known that variable location (X2) the dominant influence on the variable The decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan with the results of the correlation coefficient partial (r) of 0.486 and a value of t count = 5.964 > t sig = 1.96 at the table was 0.001 <0.05, which means there is significant influence variable location (X2) to variable The decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan. The hypothesis that variables influence the dominant location of the Decision to buy (Y) house in a residential Rainbow Grand Residence Balikpapan proven.
Keywords: variable Price, Location, Building, Environment and Decisions Buy
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