PEMANFAATAN NAIVE BAYES METHOD UNTUK MENGIDENTIFIKASI KONDISI USUS BESAR (COLON) BERBASIS IRIDOLOGI

DARMAWAHYUNI, ANNISA and Erwin, Erwin and Effendi, Rusdi (2012) PEMANFAATAN NAIVE BAYES METHOD UNTUK MENGIDENTIFIKASI KONDISI USUS BESAR (COLON) BERBASIS IRIDOLOGI. Undergraduate thesis, Sriwijaya University.

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Abstract

Based on iridology, human iris could give information on the colon. Colon was associated with the human digestive system related to diet and excretion of the body's systems. Software development (computerized) was needed to identify the condition of the colon through the iris image. In this Software, the method that used was a Nai've Bayes Method. This method use the pixels on the iris image in accordance with the maximum frequency, and then calculate the probability of each category. This method generated a probability value of each pixel image of the iris that had been trained, then use for testing. The result from testing would provide the maximum probability that describe certain categories of colon conditions. Iris image database used is Ubiris V.l. Image database was a collection of grayscale images with size 200x150 px. The result of this thesis has an error of 37.5%, with 25 data of accurate and 15 data of inaccurate from 40 training images as whole. Therefore, it could concluded that the process of Identification of the iris testing to determine the condition of colon yields accuracy of 62.5%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Iridologi, Naive Bayes Method, Usus Besar (Colon), Ubiris V.l
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Ichlasyah Aisyah
Date Deposited:	11 Sep 2024 05:41
Last Modified:	11 Sep 2024 05:41
URI:	http://repository.unsri.ac.id/id/eprint/157117

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