IDEAS home Printed from https://ideas.repec.org/a/ebi/journl/v1y2024i1p69-77.html
   My bibliography  Save this article

Maximizing Culinary Business Profit with the POM-QM Simplex Method

Author

Listed:
  • Fredy

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

  • Kevin

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

  • Sartito Limba Jaya

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

  • Supenatus Angie

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

  • Nadia Ramayani

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

  • Dudy Effendy

    (Faculty of Economics and Business, Management Study Program, Widya Dharma University Pontianak)

Abstract

Optimizing profit in Micro, Small, and Medium Enterprises (MSMEs) poses a common challenge for owners, particularly in the culinary sector. This study explores the potential application of the simplex method to maximize profits in "Martabak Pak Amir," a Martabak business. Utilizing POM-QM software, the research identifies key variables influencing Martabak business profits, including production costs, selling prices, production time, and profits from three Martabak variants. The simplex method, a linear programming problem-solving approach, iteratively develops solutions to achieve optimal outcomes. Data collected from observations and interviews with Martabak Pak Amir over a two-week period are utilized. The enterprise offers three Martabak variants: chocolate, pandan, and cheese. Through linear programming and simplex method analysis, the optimal calculation reveals that producing the pandan variant three times yields a maximum profit of Rp 8,100,000 monthly, with total monthly sales of Rp 4,764,000 or 397 portions of pandan Martabak sold per month.

Suggested Citation

Handle: RePEc:ebi:journl:v:1:y:2024:i:1:p:69-77
DOI: 10.69725/JEBI
as

Download full text from publisher

File URL: https://analysisdata.co.id/index.php/JEBI/article/download/24/22
Download Restriction: no
File URL: https://analysisdata.co.id/index.php/JEBI/article/view/24
Download Restriction: no
File URL: https://libkey.io/10.69725/JEBI?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebi:journl:v:1:y:2024:i:1:p:69-77. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Agus Dwianto (email available below). General contact details of provider: https://analysisdata.co.id/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.