CLASSIFICATION OF SCOUT SKILLS USING NAIVE BAYES ALGORITHM

RIZKY YUDHA PRAMUDHIKA, RIFKI FAHRIAL ZAINAL, RANI PURBANINGTYAS

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%. Keywords: Classification, Naïve Bayes, Java, Scouting


References


Aditya, Muhammad. (2013), Klasifikasi Calon Pendonor Darah dengan Metode Naïve Bayes Classifier,

Brawijaya University, Malang.

Agung Baktiar, Yoga. (2013), Implementasi Metode Naïve Bayes untuk Klasifikasi Kenaikan Grade Karyawan

Pada Fuzzyfikasi Data Kinerja Karyawan(Studi Kasus PT PJB UP Brantas), Brawijaya University, Malang.

Anugroho, Prasetyo. (2011), Klasifikasi Email Spam dengan Metode Naïve Bayes Classifier Menggunakan

Java Programming, State Electronic Polytechnic of Surabaya-Institute of Technology Sepuluh November,

Surabaya.

Bob Sunardi, Andri. (2014), Boyman, Ragam Latih Pramuka, Ninth Print, Nuansa Muda, Bandung.

Bustami. (2012), Penerapan Algoritma Naïve Bayes Untuk Mengklasifikasi Data Nasabah Asuransi,

Malikussaleh University, Banda Aceh.

Distiawan Trisedya, Bayu. (2009), Klasifikasi Dokumen Menggunakan Algoritma Naïve Bayes dengan

Penambahan Parameter Probabilitas Parent Category, Indonesia University, Jakarta.

Fahrurozi, Ahmad, (2014), Klasifikasi Jenis Kayu Dengan Menggunakan Naïve Bayes Classifier, Institute of

Technology Sepuluh November, Surabaya.

Hamzah, A. (2012), Klasifikasi Teks dengan Naïve Bayes Classifier (NBC) untuk Pengelompokan Teks Berita

dan Abstract Akademis, Institute of Science and Technology AKPRIND, Yogyakarta.

Natalius, Samuel. (2011), Metoda Naïve Bayes Classifier dan Penggunaannya pada Klasifikasi Dokumen,

Institute of Technology Bandung, Bandung.

Prasetyo, Eko. (2012), Data Mining Konsep dan Aplikasi Menggunakan Matlab, Ed.1, Andi, Yogyakarta.

Ridwan, Mujib et al. (2013), Penerapan Data Mining untuk Evaluasi Kinerja Akademik Mahasiswa

Menggunakan Algoritma Naïve Bayes Classifier, Brawijaya University, Malang.

Rozaq, Abdur. (2013), Klasifikasi Dokumen Teks Berbahasa Arab Menggunakan Algoritma Naïve Bayes,

Institute of Technology Sepuluh November, Surabaya.

Saleh,Alfa. (2015),Implementasi Metode Klasifikasi Naïve Bayes dalam Memprediksi Besarnya Penggunaan

Listrik Rumah Tangga, Potensi Utama University, Medan.

Satria,Danil.(2009),Gerakan Pramuka Indonesia,https://id.wikipedia.org/wiki/Gerakan_Pramuka_Indonesia,

accessed at March 24, 2016.

Septian Nugroho, Yuda. (2014), Data Mining Menggunakan Algoritma Naïve Bayes untuk Klasifikasi

Kelulusan Mahasiswa Universitas Dian Nuswantoro, Dian Nuswantoro University, Semarang.


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