Teacher Performance Assesment Application using Naive Bayes Classifier Method

International Symposium on Materials and Electrical Engineering 2017

材料科学;电工学

Findawati, Y.^1 ; Taurusta, C.^1 ; Widiaty, I.^2 ; Nandiyanto, A.B.D.^3

Jurusan Informatika, Universitas Muhammadiyah Sidoarjo, Jl. Raya Gelam No. 250, Candi, Sidoarjo, Jawa Timur, Indonesia^1

Family Welfare Education Department, Universitas Pendidikan Indonesia, Indonesia^2

Chemistry Education Department, Universitas Pendidikan Indonesia, Indonesia^3

关键词: Data sample;    Data testing;    Feasibility assessment;    Naive Bayes classifiers;    Probability classifier;    Sample data;    Service orientation;    Training data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/384/1/012047/pdf
DOI  :  10.1088/1757-899X/384/1/012047

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this study to determine the classification of teacher performance feasibility is by using naive bayes Classifier method. The input data comes from teacher data SMPN 1 Jabon Sidoarjo. The teacher data sample will be used as training data and data testing. The Naive Bayes classifier is a simple probability classifier that applies Bayes's theorem.In this study, the feasibility assessment of teacher performance there are 8 criteria there are Service Orientation, Integrity, Commitment, Discipline, Cooperation, Teaching, Certification and Diploma. The output classification is the feasibility of teacher performance. The system is developed using under the programming language PHP and MySQL. Data used is 46 data which divided in two data that is training data as much 36 data and 10 data as test data. Tests on sample data with real data indicate the suitability of 90%.