Pemelajaran Mesin untuk Pengendalian Mutu pada Proses Produksi Tekstil Tradisional
DOI:
https://doi.org/10.26593/jrsi.v13i1.7173.165-174Kata Kunci:
pengendalian mutu, industri tekstil tradisional, machine learning, digitalisasiAbstrak
Industri tekstil UMKM biasanya bersifat padat karya dan traditional sehingga sulit bersaing di era transformasi digital. Penelitian ini berfokus untuk menerapkan teknologi machine learning pada proses pengendalian mutu dalam industri tekstil tradisional. Untuk itu, akan dirancang teknologi berbasis computer vision yang dapat melakukan identifikasi dan klasifikasi kain selama proses produksi berlangsung. Model machine learning diterapkan pada aplikasi berbasis web dan mobile yang mudah digunakan oleh pekerja industri padat karya. Sebagai metode validasi, dilakukan juga studi kasus di kota Bandung Indonesia untuk menguji keefektifan algorima dalam manufaktur tekstil. Penelitian ini menggabungkan teknologi informasi yang dapat mengoptimalkan produksi, meningkatkan kualitas produk, dan meningkatkan daya saing. Model machine learning dalam penelitian ini menunjukkan akurasi yang tinggi, berkisar antara 75% hingga 100% dalam berbagai kondisi pencahayaan di lingkungan manufaktur tekstil sesungguhnya sehingga dapat diterapkan dalam pengendalian kualitas.
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