Determining the Formulation of Mosquito Repellent Production Raw Materials Using Simple Additive Weighting (SAW)

Authors

  • Bayu Priyatna Department of Information System, Universitas Buana Perjuangan Karawang, Indonesia
  • Agustia Hananto Department of Information System, Universitas Buana Perjuangan Karawang, Indonesia
  • Arip Solehudin Department of Information System, Universitas Singaperbangsa Karawang, Indonesia
  • April Lia Hananto Department of Information System, Universitas Buana Perjuangan Karawang, Indonesia
  • Nono Heryana Departement of Informatic, Universitas Singaperbangsa Karawang, Indonesia

Keywords:

Decision Support System, Simple Additive Weighting (SAW), Selection of Raw Materials

Abstract

Fumakilla Nomos is committed to manufacturing domestic insecticides, namely insect repellents. The raw materials used include various materials where the material is taken from nature. Because of that, the obstacles are the unstable quality of raw materials, the availability of raw materials is uncertain, and the distance between the suppliers of raw materials is quite far. So we need a decision support system for selecting raw materials using the Simple Additive Weighting (SAW) algorithm to find the best alternative formulations in choosing raw materials. This method is used to rank the alternatives of each raw material that can be used, where the highest value will be the best alternative result. The results of manual and application calculations show that the best alternative is alternative 1 with a value of 1.360, the highest value of the five alternative formulas. This application is expected to help the effectiveness and efficiency of companies in determining raw materials that are experiencing problems by making several alternatives for each raw material.

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Research Stage

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Published

17.05.2023

How to Cite

Priyatna, B. ., Hananto, A. ., Solehudin, A. ., Hananto, A. L. ., & Heryana, N. . (2023). Determining the Formulation of Mosquito Repellent Production Raw Materials Using Simple Additive Weighting (SAW). International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 482–489. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2873

Issue

Vol. 11 No. 6s (2023)

Section

Research Article

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