Analisis Faktor yang Mempengaruhi Kepuasan Pembeli di Kopi Kenangan Menggunakan Metode Regresi Logistik Biner

This study aims to analyze various factors that affect buyer satisfaction with Kopi Kenangan. The method used in this study is the binary logistic regression method using SPSS. The number of samples was 68 consumers who came directly to Kopi Kenangan, with the variables used being product, packaging, price, service quality, cleaness/comfort, waiting time, discount, and interior/exterior design. Sample collection was carried out through filling out a survey form filled out by 68 buyer consumers who came directly to Kopi Kenangan. The results of the survey are outlined in Microsoft Excel and then data normalization is carried out. For Independent Variable data in the form of Text will be converted to binary numbers which means it is represented by numbers between 0 to 1, while for Dependent Variables it will be converted to 0 and 1. Independent Variable data consists of product, packaging, price, services, cleanliness/ comfort, waiting time, discount, and interior/ exterior design. The Data Dependent Variable is Satisfactory. From the results of the study, it can be concluded that the factors that affect buyer satisfaction are the variables of product, discount, and interior/exterior design. The variables of packaging, price, services, cleanliness/comfort, and waiting time did not significantly affect buyer satisfaction at Kopi Kenangan. With data accuracy of 89.7%. From the results of the assessment of the equation above, it can be concluded that there are 59 consumers who have a Satisfactory value and 9 consumers who do not have a Satisfactory value.

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Publication Details

Journal
Jurnal Syntax Admiration
Published
2024-08-16
DOI
https://doi.org/10.46799/jsa.v5i8.1376
Citations
1
Primary Topic
SMEs Development and Digital Marketing
Type
article
Field-Weighted Citation Impact
1.71
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article

Analisis Faktor yang Mempengaruhi Kepuasan Pembeli di Kopi Kenangan Menggunakan Metode Regresi Logistik Biner

Setiyanto Agus, Jerry Heikal, Aditya Mohamad, Bangkit Widhi Raharjo
1 citations
Jurnal Syntax Admiration
SMEs Development and Digital Marketing
1.71
article

Analisis Faktor yang Mempengaruhi Kepuasan Pembeli di Kopi Kenangan Menggunakan Metode Regresi Logistik Biner

Setiyanto Agus, Jerry Heikal, Aditya Mohamad, Bangkit Widhi Raharjo
article en
1 citations

Abstract

This study aims to analyze various factors that affect buyer satisfaction with Kopi Kenangan. The method used in this study is the binary logistic regression method using SPSS. The number of samples was 68 consumers who came directly to Kopi Kenangan, with the variables used being product, packaging, price, service quality, cleaness/comfort, waiting time, discount, and interior/exterior design. Sample collection was carried out through filling out a survey form filled out by 68 buyer consumers who came directly to Kopi Kenangan. The results of the survey are outlined in Microsoft Excel and then data normalization is carried out. For Independent Variable data in the form of Text will be converted to binary numbers which means it is represented by numbers between 0 to 1, while for Dependent Variables it will be converted to 0 and 1. Independent Variable data consists of product, packaging, price, services, cleanliness/ comfort, waiting time, discount, and interior/ exterior design. The Data Dependent Variable is Satisfactory. From the results of the study, it can be concluded that the factors that affect buyer satisfaction are the variables of product, discount, and interior/exterior design. The variables of packaging, price, services, cleanliness/comfort, and waiting time did not significantly affect buyer satisfaction at Kopi Kenangan. With data accuracy of 89.7%. From the results of the assessment of the equation above, it can be concluded that there are 59 consumers who have a Satisfactory value and 9 consumers who do not have a Satisfactory value.

Jurnal Syntax AdmirationVol. 5(8)
Bakrie University (ID)
Openalex Percentile: Top 15%
SMEs Development and Digital Marketing
1.71
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