DECISION SUPPORT SYSTEM FOR BEST CATERING USING SIMPLE ADDITIVE WEIGHTING METHOD IN PT.YHS

Sembiring.et.all., Falentino (2021) DECISION SUPPORT SYSTEM FOR BEST CATERING USING SIMPLE ADDITIVE WEIGHTING METHOD IN PT.YHS. In: ICCED.

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ICCED 2021 Falen - PAPER ICCED2021-PaperID- 32 Felentino.pdf

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Abstract

Catering is an entrepreneur who serves orders for various kinds of dishes food and drinks for parties or to support the needs of an agency. There are at least fifteen catering businesses scattered around the Cibadak sub-district, this proves that the catering business has a high level of competition. PT. YHS has more than 1,500 employees with busy production conditions, so the need for practical and ready-to- consume food for employees is very important. Since
its establishment in 2007 PT. YHS has changed catering services five times, this continues to be done because management has difficulty in choosing catering services that have criteria according to employee needs, with this ready-to-eat food the problem of cleanliness has the highest risk, therefore this study aims to produce a system. decision support that can assist management in providing the best
catering recommendations based on predetermined criteria using Simple Additive Weighting or SAW as a method. The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative in all attributes. The SAW method requires a decision matrix normalization process (X) to a scale that can be compared with all available alternative ratings. The results of this study are a system that can display the value of each alternative, normalization and preference, from 9 alternative catering and 4 criteria, the highest preference value is obtained with a value of 0.768 which is used as a
candidate for catering that will be selected by the
company. This system uses the PHP programming language and MySQL database.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer > Information System
Divisions: Faculty of Engineering, Computer and Design > Information System
Depositing User: LIU Library Unit
Date Deposited: 29 Sep 2022 07:59
Last Modified: 30 Sep 2022 08:58
URI: http://repository.nusaputra.ac.id/id/eprint/260

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