@thesis{thesis,
		author={Luqman  Luqman and Prastisiya  Maya Devita and Siregar  Affandi},
		title ={Rancang Bangun Aplikasi Pemesanan Makanan Menggunakan Barcode Tiket dan Prediksi Penjualan dengan Metode Regregsi Linier},
		year={2019},
		url={http://156.67.221.169/4406/},
		abstract={The purpose of this research is to help overcome the problems that happened in train passengers who going to order meals by creating food ordering application based on android and make selling predictions on the next trip using linear regression method, which is one of prediction technic that will describe the relation between at least one or more independent variables and one dependent variable to predict the value of dependent variable in relation with the value of certain independent variables. This study used the number of passengers as a causative factor variable and the number of previous sales as an effect variable. Based on the results of data analysis using data on 30 days, it obtained the linear regression equation Y = -51.342 + 0.35849X with the Standart Error Estimate test of 6.06023.}
		}