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THE INFLUENCE OF STORE ATMOSPHERE ON CONSUMER PURCHASING DECISIONS AT THE EIGER STORE: (Study on the Eiger Store at Setia Budi Street, Medan) Iqbal, Khairul; Siregar, Onan Marakali
JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS Vol. 2 No. 1 (2022): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jhssb.v2i1.414

Abstract

This study seeks to explore how Store Atmosphere influences consumer purchase decisions on Eiger Store Setia Budi, Medan. This study's population consisted of customers of the Eiger Store Setiabudi Medan. The samples taken were 96 respondents. The data was obtained by distributing the questionnaires. Data analysis was done by Simple linear analysis and instrument tests in the form of validity, reliability, and classical assumption tests in the form of normality and heteroscedasticity tests, as well as hypothesis testing utilizing the T test and coefficient of determination test. According to the findings of this study, the Store Atmosphere has a positive and significant influence on purchasing decisions. This is evident from the 0,540 value of the regression coefficient for the variable Store Atmosphere (X). The t value of the Store Atmosphere (X) variable was 6,299 with a significance level of 0,000, as determined by researchers using a partial test (T-Test) to test the null hypothesis. The value of t table (df = 96 - 2) is 1,985, therefore t statistic > t table (6,299 > 1,985) and it can be concluded that the Store Atmosphere variable has a significant influence on purchase decisions, as indicated by the significant value 0,000 < 0,050.
Pressure Drop Analysis of Turbine Housing Model with Circular Sliced Pipe for Micro Hydropower Generation Abduh, Moh; Orfa, Lourina Evanale; Sulianto, Sulianto; Iqbal, Khairul
Aceh International Journal of Science and Technology Vol 13, No 2 (2024): August 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.2.37998

Abstract

Energy independence is a government program aiming to meet society's energy needs evenly. Steps to increase energy independence in the new and renewable energy sector include hydro-energy generation. One of the important components of a hydro generator is the penstock pipe and turbine housing, which channels water and then pushes and drives (spins) the turbine with the flow of water to produce electrical energy. The turbine housing flow design innovation must provide a function as an optimal fluid conductor by minimizing the resistance that occurs when fluid flows towards the turbine housing and rotates the turbine optimally. The scope of this research includes analysis of the phenomenon of energy loss flowing in circular pipe slices in hydroelectric power plant turbine housings with influencing factors such as friction, turbulence, and flow resistance, as well as measuring the pressure drop in circular pipe slices. The model developed is a circular slice bend with angles of 180 degrees, 270 degrees, 360 degrees, and 450 degrees, taking into account the optimal curvature ratio (R/D) of 3.5. Based on previous research, 90-degree wedge bends with many slices (n_(90-degree)) 4 to 6 or 4 and pressure drop coefficient (C_(pd-th)) obtained 180-degree (0.333 0.200), 270-degree (0.445 0.277), 360-degree (0.527 0.339), 450-degree (0.587 0.390) with a bend length L, an elevation reduction angle and a 1.5D upstream-downstream elevation difference to avoid contact between the upstream and downstream bends. The results obtained from this research are the slice modules that can be used and the resistance coefficient values that arise from the slice modules. The more slices selected according to the angle of inclination chosen, the smoother the resulting circular bend shape and the lower the resistance value, but the work will be more difficult. The most optimal slice module is the number of slices that allow its implementation, and the resistance coefficient is small. By knowing the optimal resistance coefficient value, the resulting pressure drop can be predicted to maximize the thrust to rotate the turbine.