CLASSIFICATION OF SCOUT SKILL USING NAÏVE BAYES CLASSIFIER ALGORITHM

  • Rizky Yudha Pramudhika Universitas Bhayangkara Surabaya
  • Rifki Fahrial Zainal Universitas Bhayangkara Surabaya
  • Rani Purbaningtyas Universitas Bhayangkara Surabaya
Keywords: Scout, Scout skill, Classification, Naïve Bayes Classifier

Abstract

Developing the skill and ability of Scout member often meet some problem, that is the difficulty caused by the error in determining of which skill is owned by the Scout member. The way to solve the problem is to decide the class or classification of the Scout Ability class owned by the Scout member. This research is going to build a system to classify the Scout skill class using Naïve Bayes algorithm to help the Scout master decide the Scout skill class owned by the Scout member. So that, the Scout master could develop the Scout skill suitable with the skill class owned by the Scout member optimally. Criteria used in this research are the scores of General Knowledge, Scouts Knowledge, Sign Languages (Code, Morse, Semaphore), Rope and Knotting, Pioneering, and Handicraft. The type of all of the criteria used are numerical. The result of the classification is the participant involved in Intelligence class, Physical class, or Creativity class. The result of this research is a program which has ability to decide the Scout skill class. The Scout Skill Classification using Naïve Bayes Algorithm program has been tested and the accuracy reached 100%.

Published
2017-08-29
Section
Articles