relation: https://digilib.uin-suka.ac.id/id/eprint/21305/
title: PERANCANGAN SISTEM PENGOLAHAN CITRA DIGITAL UNTUK  MENENTUKAN BOBOT SAPI MENGGUNAKAN METODE CANNY EDGE  DETECTION
creator: AHMAD MUSTAFID, NIM. 12650021
subject: Tehnik Informatika
description: Cow cattle has a high economic value and its important in the life of society.  Generally, determining the price of cow agreed by negotiation between the seller  and the buyer, not based on the weight of cow is sold. In the fact, it seemed that  there has no tool to calculate the weight of cow in practical and accurate,  therefore they still use the calculation manually and approximately for finding the  weight of cow. In other that this research tries to create a digital image processing  system using android device for determining the weight of a cow in practical and  accurate using Canny edge detection method.  The first way, the researcher is looking for the most accurate formula to  determine the weight of cow, and then making the system design process. After  the design has been made, we perform the processing with the help of OpenCV to  determine where the best edge detection is. In next step is performing unit  conversion and proposing some algorithms to find the body length and chest girth,  therefore can be calculated the weight of cow in the image.  The result of analysis determining the weight of cow using Schoorl and  Modification formula has the error/deviation values of weight of 16.87 % for  Schoorl formula and 10.58 % for Modification formula. The result of analysis  preprocessing showed that scenario 3 (Median blur and canny) get the best result.  The calculation result, image does not have difference significantly, it has the  accuracy factor statistically with error of 8.15 % for the body length and 4.10%  for chest girth. Digital image processing application that was built can determine  the weight of cow or the heavy cow with the value relative deviation (error) of  8.97 % toward Modification formula.
date: 2016-06-28
type: Thesis
type: NonPeerReviewed
format: text
language: en
identifier: https://digilib.uin-suka.ac.id/id/eprint/21305/2/12650021_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: en
identifier: https://digilib.uin-suka.ac.id/id/eprint/21305/1/12650021_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   AHMAD MUSTAFID, NIM. 12650021  (2016) PERANCANGAN SISTEM PENGOLAHAN CITRA DIGITAL UNTUK MENENTUKAN BOBOT SAPI MENGGUNAKAN METODE CANNY EDGE DETECTION.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.