APLIKASI PEMBACA SMS UNTUK SISTEM PEMESANAN BELANJA PADA ONLINE SUPERMARKET DENGAN LEVENSHTEIN DISTANCE

• Main Authors: , EMA FITRIANA, , Ir. Lukito Edi Nugroho, M.Sc., Ph.D.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2014
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/130080/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70492
• Institution: Universitas Gadjah Mada

High mobility in Indonesian society lead lifestyle changes that wants everything to be practical, including to how people fulfill their daily needs. Online supermarket can be a solution, one that is eMart Indonesia. As progress continues, there are some problems appear, one of which is the number of customers who do not order directly through the website but they order through SMS one. However, there is no application that can read the SMS messages to determine the desired items. This research builds a web based aplication that can extract information from SMS messages so that it can be expressed as a direct order from customer without having an order manually through the existing website. This application will take the value of the quantity and the name of each item ordered without giving specific writing formats to the user. Determination of goods is done with the method of strings matching using Levenshtein Algorithm. But SMS message is a the raw data that contains not only the information required, so it needs to be cleaned by using preprocessing data method prior to matching strings. The result shows high success rate based on testing SMS data obtained from writing pattern SMS order survey. This application is a solution for the online supermarket for goods ordering process through the medium of SMS