Analisis dan Implementasi Metode Fuzzy Tsukamoto Berbasis Web untuk Menentukan Jumlah Produksi Sepatu Berdasarkan Tingkat Permintaan Pasar dan Ketersediaan Bahan Baku di PT KMK Global Sports

Authors

  • Mafrokhah Mafrokhah Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Pamulang

DOI:

https://doi.org/10.52362/jmijayakarta.v6i4.2681

Keywords:

Sistem Pendukung Keputusan, Fuzzy Tsukamoto, Perencanaan Produksi, Permintaan Pasar, Bahan Baku

Abstract

PT KMK Global Sports adalah perusahaan manufaktur alas kaki yang menghadapi ketidakpastian dalam menentukan jumlah produksi akibat fluktuasi permintaan pasar dan ketersediaan bahan baku. Keputusan produksi yang sangat bergantung pada pertimbangan manajerial dan pemrosesan data yang terpisah dapat mengurangi konsistensi dalam perencanaan. Penelitian ini bertujuan untuk mengimplementasikan metode Fuzzy Tsukamoto dalam sistem pendukung keputusan berbasis web guna menentukan jumlah produksi alas kaki, serta mengevaluasi fungsionalitas dan konsistensi perhitungan aplikasi yang dikembangkan. Penelitian ini menggunakan pendekatan pengembangan sistem deskriptif dengan metode *Evolutionary Prototyping*. Data diperoleh melalui observasi, wawancara, dan catatan historis terkait produksi. Model ini menggunakan permintaan pasar dan inventaris bahan baku sebagai variabel input, serta jumlah produksi sebagai variabel output. Setiap variabel input direpresentasikan oleh tiga himpunan fuzzy, yang menghasilkan sembilan aturan *IF-THEN*. Proses inferensi menggunakan operator MIN untuk memperoleh nilai α-predikat, diikuti dengan penentuan nilai *crisp* z dan defuzzifikasi menggunakan metode rata-rata terbobot (*weighted-average*). Aplikasi diimplementasikan menggunakan Laravel dan MySQL serta diuji melalui *Black Box Testing* dan validasi perhitungan manual. Untuk input uji berupa permintaan sebesar 3.800 unit dan inventaris sebesar 17.000 unit, sistem menghasilkan rekomendasi produksi sebanyak 6.151 unit. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengintegrasikan data permintaan, inventaris, parameter fuzzy, aturan, dan perhitungan produksi ke dalam proses pendukung keputusan yang terstruktur.

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Published

2026-11-01

Issue

Vol. 6 No. 4 (2026): JMI Jayakarta (December 2026)

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