133257 PENERAPAN METODE FUZZY SUGENO DALAM PENCOCOKAN PAKAIAN BERBASIS WEB
Abstract
Dalam era fashion digital, pengguna sering mengalami kesulitan dalam memilih kombinasi pakaian yang sesuai dengan karakteristik pribadi dan jenis acara. Penelitian ini mengembangkan sistem rekomendasi pakaian berbasis web dengan menerapkan metode Fuzzy Sugeno yang mampu menangani ketidakpastian serta subjektivitas preferensi pengguna. Sistem ini mengubah variabel linguistik seperti jenis kelamin, usia, warna kulit, gaya berpakaian, dan acara menjadi nilai numerik untuk menghasilkan rekomendasi yang adaptif.
Metodologi penelitian meliputi pengumpulan data dari dataset fashion open-source di Kaggle, perancangan sistem menggunakan PHP dan MySQL, serta pengujian menggunakan metode black box testing. Proses inferensi fuzzy—yang terdiri dari fuzzifikasi, evaluasi rule, dan defuzzifikasi—menghasilkan nilai output (Z) yang menunjukkan tingkat kecocokan pakaian. Hasil penelitian menunjukkan tingkat kesesuaian mencapai 82%, yang membuktikan bahwa metode Fuzzy Sugeno efektif dalam mengolah data tidak pasti dan menghasilkan keputusan yang mendekati persepsi manusia
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