ANALISA PREDIKSI AKURASI DAN KLASIFIKASI ADMINISTRASI MANUFAKTUR

• HAFIFAH BELLA NOVITASARI
• 14002265

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ABSTRAK

ABSTRAK

 

 

Nama                 :      Hafifah Bella Novitasari

NIM                  :      14002265

Program Studi   :      Ilmu Komputer

Jenjang              :      Strata Dua (S2)

Konsentrasi       :      Data Mining

Judul Tesis        :      “Analisa Prediksi Akurasi dan Klasifikasi Administrasi Manufaktur”

 

 

Setiap perusahaan perlu memiliki manajemen waktu yang baik untuk memenuhi persyaratan pelanggan. Salah satu proses yang perlu diperhatikan adalah proses administrasi manufaktur. PT Cedefindo sebagai cosmetics contract manufacturing, dala menjalankan bisnisnya tentu perlu melakukan perencanaan yang baik untuk meningkatkan kepercataan pelanggan. Tujuan dari penelitian ini adalah untuk melakukan prediksi akurasi dan klasifikasi administrasi manufaktur dengan menggunakan atribut-atribut administrasi dari proses pengajuan pembelian, kedatangan, sampai kesiapan bahan baku dan bahan kemas. Analisa prediksi akurasi dilakukan menggunakan algoritma Regresi Linier, sedangkan untuk klasifikasi dilakukan dengan membandingkan algoritma K-Nearest Neighbor, C4.5 dan Naive Bayes. Hasil Regresi Linier menunjukkan nilai MAE sebesar 0.002 dengan atribut FKB PM dan Siap PM menjadi atribut yang paling berpengaruh pada proses administrasi manufaktur. Untuk hasil klasifikasi menunjukkan bahwa K-Nearet Neighbor dengan Cross Validation merupakan algoritma terbaik dengan akurasi sebesar 97,76%.

 

Kata kunci:

Manufaktur, Data Mining, Klasifikasi, Regresi Linier

KATA KUNCI

Analisis,Prediksi

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