@thesis{thesis,
		author={Abdurrasyid  Abdurrasyid and Agtriadi  Herman Bedi and Putri  Raras Wismajani},
		title ={PERHITUNGAN ESTIMASI WAKTU PADA PRODUKSI BARANG DENGAN MENERAPKAN ALGORITMA NAIVE BAYES KLASIFKASI (STUDI KASUS PT. HASIL RAYA INDUSTRIES)},
		year={2018},
		url={http://156.67.221.169/4510/},
		abstract={PT. Hasil Raya Industries is a company engaged in the manufacture of
plastic goods 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 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.}
		}