FACTORS INFLUENCING THE PURCHASE OF NIPAH FRUIT PRODUCTS: A MULTIPLE LINEAR REGRESSION ANALYSIS
FACTORS INFLUENCING THE PURCHASE OF NIPAH FRUIT PRODUCTS: A MULTIPLE LINEAR REGRESSION ANALYSIS
Felix Hisarma Lumban Gaol
Program Studi Agribisnis, Fakultas Pertanian, Universitas Samudra, Aceh
Cut Gustiana
Program Studi Agribisnis, Fakultas Pertanian, Universitas Samudra, Aceh
Supristiwendi
Program Studi Agribisnis, Fakultas Pertanian, Universitas Samudra, Aceh
DOI: https://doi.org/10.19184/jsep.v17i2.43874
ABSTRACT
Difficulties to develop into a problem that often occurs for business owners due to a lack of understanding of the factors that cause consumer behavior in the level of purchasing a product. This study aims to analyze the factors that influence the purchase of processed nipah fruit products at Bu Fitriani's nipah fruit soup business in Gampong Timbang Langsa, Langsa Baro District, Langsa City. The study used a causal design. The data collection method uses primary data and secondary data which are qualitative and quantitative in nature with the questionnaire measurement scale being a Likert scale. The population is all consumers and the sample was selected as many as 60 respondents using the incidental sampling method. The data analysis method uses multiple linear regression which is processed using IBM SPSS Statistic 22. The results showed a positive and significant effect of location, price perception, lifestyle and service on the level of purchase. Meanwhile, the diversity of products has a negative and insignificant effect on the level of purchase, which will later become an evaluation material to be improved so that the business can develop again in the future.
Keywords: factors that influence, product purchase, multiple linear regression.
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Published
31-03-2024
Issue
Vol. 17 No. 1
Pages
17-28
License
Copyright (c) 2024 Jurnal Sosial Ekonomi Pertanian (J-SEP)
How to Cite
Gaol, F. I. L., Gustiana, C., & Supristiwendi. 2024. Factors Influencing The Purchase of Nipah Fruit Products: A Multiple Linier Regression Analysis. J-Sep, 17(1), pp.17-28. https://doi.org/