HUBUNGAN PENATAAN BARANG PAJANGAN (WINDOW DISPLAY) DENGAN PEMBELIAN TIDAK TERENCANA (IMPULSE BUYING) PADA MAHASISWA UNIVERSITAS NEGERI JAKARTA DI MATAHARI DEPARTEMENT STORE, MALL ARION JAKARTA TIMUR

Masitoh, Siti (2016) HUBUNGAN PENATAAN BARANG PAJANGAN (WINDOW DISPLAY) DENGAN PEMBELIAN TIDAK TERENCANA (IMPULSE BUYING) PADA MAHASISWA UNIVERSITAS NEGERI JAKARTA DI MATAHARI DEPARTEMENT STORE, MALL ARION JAKARTA TIMUR. S1 thesis, Universitas Negeri Jakarta.

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Abstract

Siti Masitoh. Relationships of Window Display With Impulse Buying At the Jakarta State University Students In Matahari Department Store Arion Mall, East Jakarta. Skripsi, Jakarta. Program Study Commerce Education. Faculty of Economics. Jakarta State University, May 2016. The method used the survey method with the correlational approach. The sampling technique used is purposive technique (purposive sampling). The population is UNJ students who shopped to the Sun Arion Mall in ≤ 3 months, female, age 17-25 years. Based on the initial survey that researchers do, didapatlah population of 89 students. Results of reliability for the variable X is 0.807 and for the variable Y is 0884. questionnaire using Likert scale models. Before the instrument is used, tested the construct validity of the two variables. The process is done by analyzing the validity of the data. 24 statements variable arrangement of items on display (window display) valid point as many as 18 items and 6 eggs dropped. While 46 statement unplanned purchase decision variable (impulse buying) a valid point as much as 36 grains and 10 grains dropped. Test requirements analysis that estimates the error normality test regression of Y on X with the test Liliefors produce the greatest Lhitung Ltabel = 0.0461 for N = 89 with a significance level of 0.05 is 0.093. Lhitung <Ltabel. It can be concluded the data were normally distributed. The resulting linear regression equation is Y = 48.37 + 1.13 X. Of significance test of correlation produces Fhitung = 125.15 and Ftabel = 3.95. so Fhitung> Ftabel it can be concluded that the regression model is significant, followed by regression linearity test produces Fhitung = 0.4446 and Ftabel = 1.67. so Fhitung <Ftabel it can be concluded that the model is a linear regression equation. Hypothesis test results with the formula of Pearson product moment correlation r xy = 0.768 yield, regression significance test is then performed by using test t = 11.118 and t table at a significance level of 0.05 with df = 87 at 1,665. Then there are positive and significant relationship between variables X with Y. variable calculation results conclude that there are positive and significant relationship between the arrangement of items on display (window display) with unplanned purchasing decisions (impulse buying) with a coefficient of determination obtained of 59.00 % variation unplanned purchasing decisions (Y) is determined by the arrangement of items on display (X) the rest is determined by other factors.

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