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Universitas Hasanuddin
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Analysis of The Influence of The Marketing Mix on The Satisfaction of Patients with Type 2 Diabetes Miletus Installation at Hajj General Hospital, Makassar

Salsabila S.S.

Pharmacognosy Journal

Q3
Published: 2023Citations: 4

Abstract

Marketing mix is a set of marketing tools used by companies to achieve marketing objectives. The marketing mix consists of nine components, namely product, price, place, promotion, people, process, physical evidence, performance, and strength. This study aims to determine the effect of the marketing mix on patient satisfaction with type 2 diabetes mellitus inpatient installations in public hospital in the Hajj area of Makassar, the type of research used was an analytical survey with a quantitative approach using cross sectional. The sample in this study was type 2 diabetes mellitus patients in the inpatient installation at the Hajj area general hospital as many as 81 people who were obtained by the probability sampling method, collecting data using a questionnaire instrument. Processing data using the Chi-Square test and multivariate logistic regression analysis. Based on the results of the study, there is an influence between the process (Process). Promotion, Place, and Power on patient satisfaction with type 2 diabetes mellitus in inpatient installations. The results of the multivariate analysis showed that the most dominant variable was placed (exp β = 19,093). The conclusion of several influential variables that are most related to patient satisfaction with the marketing mix, namely the place variable, which is the most important factor in patient satisfaction. It is hoped that the Haji Makassar Hospital will pay more attention to the services needed by the community in general, especially the location in terms of the number of rooms, parking and waiting rooms that are more adequate.

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10.5530/pj.2023.15.90

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Marketing mixSciences
Promotion (chess)Sciences
Customer satisfactionSciences
MarketingSciences
MedicineSciences
Multivariate analysisSciences
HajjSciences
Logistic regressionSciences
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BusinessSciences
GeographySciences
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