JIKA (Jurnal Informatika)
Vol 5, No 1 (2021): JIKA (Jurnal Informatika)

PERHITUNGAN ESTIMASI WAKTU PADA PRODUKSI BARANG DENGAN MENERAPKAN ALGORITMA NAIVE BAYES KLASIFKASI (STUDI KASUS PT. HASIL RAYA INDUSTRIES)

Wijayanti, Rima Rizqi (Unknown)
Abdurrasyid, Abdurrasyid (Unknown)



Article Info

Publish Date
28 Feb 2021

Abstract

PT. Hasil Raya Industries is a company engaged in the manufacture of plastic gods such as bottles of packaging. During this time there is difficulty in calculating the estimated duration of the product work. Because the calculation of estimation is still manual, not well recorded and not accurate. To support the estimation of production time, a web-based system is designed to solve the problem. The authors apply the Naive Bayes algorithm based on Data Demand Goods and Production Data Data at PT. Hasil Raya Industries to give solution in finding time estimation at work of goods production This application can run well and can produce information as expected. By using the application time of production of goods, PT.Hasil Raya Industries can directly receive reports of estimation results of production time.   

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Journal Info

Abbrev

jika

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Penlitian dan Pengabdian Masyarakat merupakan Tolak Ukur aktivitas Dosen Perguruan Tinggi, berdasarkan hal tersebut maka dengan ini program studi teknik informatika di Universitas Muhammadiyah Tangerang menyediakan lahan untuk penerbitan jurnal penelitian yang dilakukan oleh dosen. Jurnal ini ...