Classification of Scout Skills Using Naive Bayes Algorithm

Abstract

In the development of skills and skills of students Scout often finds the problem is the difficulty of developing the
skills of learners caused by mistakes in determining the skills dominated by learners. How you can do it to solve that
problem is by making a class determination or classification of areas of expertise controlled by the learner. This
study aims to build a system to determine the inner class Scout skills area using Naïve Bayes algorithm for Scout
Coach to determine the area of expertise of learners. So Scout Coach can develop the skills of learners in
accordance with the areas of expertise that are owned optimally. Assessment criteria used are the values of General
Knowledge, Scout Knowledge, Sign Language (Password, Morse, Semaphore), Node Bond, Pioneering, and Hasta
Karya. All assessment criteria are used numerically. The resulting classification is the students who are included in
the class Intelligence (Intelligence), Physical (Strength), or Creativity. The results of this study is a program that can
perform calculations to determine skill class scout field. The Scouting Skill Classification Program using the Naïve
Bayes Algorithm has been tested and its accuracy or accuracy is 100%.