Analysis Iterative algorithms Dichotomizer (ID3): The Satisfaction Study in Computer Laboratory Ibnu Rasyid Munthe 1 , Sumitro Sarkum 2 , Volvo Sihombing 3 ibnurasyidmunthe@gmail.com 1 , ,sumitro.ulb@gmail.com 2 ,volvo_lecture@yahoo.co.id 3. Akademi Manajemen Informatika Labuhan Batu 1,2,3 Abstract. The purpose of this article to explore the information level of student satisfaction in a computer laboratory. This study was used algorithms Iterative Dichotomizer (ID3) to represent the concepts in the form of a decision tree, the existance a decision tree to produce a good algorithm training data to help decide the completation of good problems in laboratory facilities. The research method was used the Cross Industry Process For Data Mining (CRISP-DM). RapidMiner as an application in the making of a decision tree ( Decision Tree ) and test level data of the student’s satisfaction. The Result of of student’s satisfaction in a computer laboratory facilities were processed on a Rapid miner has been constructed a decision tree. The Decision trees were tested used the Confusion Matrix to produce value accuracy of the decision tree. The sample was used a students of AMIK Labuhanbatu and the results showed that student satisfaction in a computer laboratory facilities about 92.86%. The value Precision of the decision tree for student satisfaction in the computer laboratory facilities AMIK Labuhan Batu about 91.18% by a positive class: Satisfied. The value recall of a decision tree for student satisfaction in the computer laboratory facilities AMIK Labuhan Batu about 100.00% by a positive class: Satisfied and produce AUC value about: 0933 0133 +/- (micro: 0933) (positive class: Satisfied) Average Value AUCbetween 0 9 0 - 0 1 0 with a classification of Very Good. Keyword: Decision Tree, Iterative Dichotomize (ID3), (CRISP-DM), Rapidminer 1 Introduction To showed the satisfaction of both the products and services were in the assessment of the characteristic of product or service, or the product itself, which provides consumers the level of excitement related to the fulfillment of the needs of consumers. The Customer satisfaction is feeling happy or disappointed who emerged after comparing the performance (yield) of the product thought to the expected performance [1], In this case the customer / consumer is a student at an institution of higher education, so if A student feel a satisfied with the value given by the laboratory facilities (computer products) and supporting facilities of the laboratory, it is very likely students are recommended to the environment to select campus good in the provision of facilities will become a natural promotion to increase new student to join at the campus. Iterative algorithms Dichotomizer (ID3) for make a decision tree so that can be extracted knowledge of the problems that occurred. The ID3 algorithm is the learning useful because it 178 ICASI 2018, April 23-24, Medan, Indonesia Copyright © 2018 EAI ISBN: 978-1-63190-162-1