APLIKASI WEB BERBASIS ALGORITMA K-NEAREST NEIGHBOUR UNTUK MENENTUKAN KLASIFIKASI BARANG STUDI KASUS: PERUM PERURI
Kata Kunci:
Kode barang, K-Nearest Neighbor, Aplikasi saran, PHPAbstrak
Penentuan nomor identifikasi dan nama barang berdasarkan kategori yang telah ada menjadi sangat rumit ketika
sudah terdapat lebih dari ratusan kategori dan jenisnya. selama ini pengguna hanya dapat menebak nomor
identifikasi kategori dan jenisnya dengan cara melihat tetangga terdekat secara manual di dalam database
berdasarkan nama barang baru tersebut. Maka dari itu dibuat aplikasi berbasis web ini dengan menggunakan
bahasa pemrograman PHP. Dimana proses untuk menentukan penomoran barang baru serta kategorinya
menggunakan pendekatan pembelajaran data dan data mining dengan algoritma K-nearest neighbor.
Berdasarkan penelitian dan pengujian, aplikasi ini dapat menghasilkan efesiensi waktu yang cukup baik.
Pengguna akan mendapatkan saran kode barang baru hanya dalam waktu 1 menit.
Kata Kunci: Kode barang, K-Nearest Neighbor, Aplikasi saran, PHP
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