FISABILILLAH, M. FAIZA ZAHMI (2026) SISTEM PENDUKUNG KEPUTUSAN PENGELOLAAN STOK BARANG BERBASIS RULE-BASED DECISION MAKING DENGAN PENDEKATAN FUZZY LOGIC PADA TOKO SEMBAKO RAOSTEA ALFAZA. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Inventory management is one of the key factors in maintaining the operational continuity of retail businesses. Raostea Alfaza Grocery Store still manages its inventory based on the owner's experience and observations, which may lead to overstock, stockout, and increased losses due to products approaching their expiration dates. This study aims to design and develop a web-based Decision Support System (DSS) using the method to generate inventory management recommendations based on sales levels and product expiration dates. Fuzzy Logic is employed as a fuzzification process to transform numerical sales and remaining shelf-life data into linguistic categories before being processed using IF–THEN rules. The system was developed using the Laravel Framework with PostgreSQL as the database management system. The research stages consisted of requirements analysis, system design, implementation, and system testing using the Black Box Testing method. The results show that the system is capable of processing sales and expiration data to generate inventory management recommendations, including product restocking, maintaining stock levels, providing promotions or discounts for products approaching expiration, and postponing purchases of products with low sales. The testing results indicate that all system functions operated according to the specified requirements. The implemented system assists store owners in generating consistent inventory management recommendations based on the predefined rule base and can be used as a decision support tool for small-scale retail businesses. Keywords: Rule-Based Decision Making, Decision Support System, Fuzzy Logic, Inventory Management, Sales Level, Expiration Date, Laravel. Pengelolaan stok barang merupakan salah satu faktor penting dalam menjaga kelancaran operasional usaha ritel. Toko Sembako Raostea Alfaza masih melakukan pengelolaan stok berdasarkan pengalaman dan pengamatan pemilik sehingga berpotensi menyebabkan kelebihan stok (overstock), kekurangan stok (stockout), serta meningkatnya risiko kerugian akibat barang yang mendekati masa kedaluwarsa. Penelitian ini bertujuan merancang dan membangun Sistem Pendukung Keputusan (Decision Support System) berbasis web menggunakan metode Rule-Based Decision Making untuk menghasilkan rekomendasi pengelolaan stok berdasarkan tingkat penjualan dan masa kedaluwarsa produk. Logika Fuzzy digunakan sebagai proses fuzzifikasi untuk mengelompokkan nilai tingkat penjualan dan sisa masa kedaluwarsa ke dalam kategori linguistik sebelum diproses menggunakan aturan IF–THEN. Sistem dikembangkan menggunakan Framework Laravel dan PostgreSQL sebagai sistem manajemen basis data. Tahapan penelitian meliputi analisis kebutuhan, perancangan sistem, implementasi, serta pengujian menggunakan metode Black Box Testing. Hasil penelitian menunjukkan bahwa sistem mampu mengolah data penjualan dan masa kedaluwarsa menjadi rekomendasi pengelolaan stok berupa restok, mempertahankan stok, pemberian promosi atau diskon pada produk yang mendekati masa kedaluwarsa, serta penundaan pembelian produk dengan tingkat penjualan rendah. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan kebutuhan yang telah ditentukan. Implementasi sistem mampu membantu pemilik toko dalam menghasilkan rekomendasi pengelolaan stok secara konsisten berdasarkan basis aturan yang telah dirancang sehingga dapat digunakan sebagai pendukung pengambilan keputusan pada usaha ritel skala kecil. Kata kunci: Rule-Based Decision Making, Sistem Pendukung Keputusan, Logika Fuzzy, Manajemen Persediaan, Tingkat Penjualan, Masa Kedaluwarsa, Laravel.
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