OPTIMALISASI PENJUALAN DENGAN MENENTUKAN TATA LETAK PRODUK PADA MINIMARKET MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

Nurhayati Nurhayati; Angga Juledi; Budianto Bangun

doi:10.37600/tekinkom.v8i2.1788

Nurhayati Nurhayati Universitas Labuhanbatu
Angga Juledi Universitas Labuhanbatu
Budianto Bangun Universitas Labuhanbatu

DOI: https://doi.org/10.37600/tekinkom.v8i2.1788

Abstract

Product layout is a crucial factor in enhancing customer convenience and sales effectiveness in minimarkets. The minimarkets targeted in this study still face challenges such as customer difficulty finding products and a high reliance on employees for product location inquiries. This situation indicates that product layout is suboptimal‚ potentially reducing customer satisfaction and hindering sales potential. Therefore‚ this study aims to optimize product layout based on historical sales data and the characteristics of each product category‚ utilizing the Simple Additive Weighting (SAW) method as a decision support system. The SAW method was used to evaluate five alternative product categories: refrigerated products‚ basic necessities‚ snacks‚ personal care‚ and ready-to-eat (RTE) products‚ based on five main criteria: specific placement costs‚ risk of damage‚ product turnover‚ profit margin‚ and demand stability. The research process included criteria weighting‚ decision matrix normalization‚ and preference score calculations to determine product placement priorities. The calculation results show that RTE Products (TP5) obtained the highest preference value of 0.96‚ followed by snacks (TP3) with a value of 0.91‚ personal care (TP4) with 0.90‚ basic necessities (TP2) with 0.86‚ and cold products (TP1) with 0.76. Interpretation of these results shows that RTE Products and snacks are categories with the highest sales potential and placement efficiency so they deserve to be prioritized in strategic areas of minimarkets. Meanwhile‚ cold products are ranked last because they require high placement costs and have a greater risk of damage. Thus‚ the SAW method is proven to be effective in providing more measurable and data-based product layout recommendations.

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