KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA

KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA

<p>Improving quality of services to students with a way to do an assessment of the faculty is one way for the Universitas Indraprasta to keep competitive with competitors.</p><p>In addition, the necessary supporting data as a basis for decision-making comes from parts and other age...

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Main Author: Laksana Priyo Abadi
Format: Article
Language:Indonesian
Published: Lembaga Penelitian Universitas Indraprasta PGRI 2016-09-01
Series:Faktor Exacta
Online Access:http://journal.lppmunindra.ac.id/index.php/Faktor_Exacta/article/view/813
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spelling doaj-f467c334fff147dfb36fe50a78df53df2020-11-25T00:20:25ZindLembaga Penelitian Universitas Indraprasta PGRIFaktor Exacta1979-276X2502-339X2016-09-019323724610.30998/faktorexacta.v9i3.813779KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTALaksana Priyo Abadi<p>Improving quality of services to students with a way to do an assessment of the faculty is one way for the Universitas Indraprasta to keep competitive with competitors.</p><p>In addition, the necessary supporting data as a basis for decision-making comes from parts and other agencies so that decision-making process requires a long time. For data analysis, this research using descriptive analysis techniques and instruments used to determine policy priorities is by using the Algoritma C45, Naive Bayes, and Neural Network with WEKA software.</p><p> This research is expected to produce a model that can support decision making in terms of determining a lecturer with the best performance will be stated as outstanding lecturers each year.</p><p> </p><p><strong><em> </em></strong><strong><em>Keywords</em></strong><strong><em>: </em></strong><em>Grade</em><em> </em><em>Decision Support, Algoritma C45, Naive Bayes and Neural Network, lecturer assessment</em></p>http://journal.lppmunindra.ac.id/index.php/Faktor_Exacta/article/view/813
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Laksana Priyo Abadi
spellingShingle Laksana Priyo Abadi
KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
Faktor Exacta
author_facet Laksana Priyo Abadi
author_sort Laksana Priyo Abadi
title KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
title_short KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
title_full KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
title_fullStr KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
title_full_unstemmed KAJIAN PENERAPAN ALGORITMA C4.5, NAIVE BAYES, DAN NEURAL NETWORK DALAM PEMILIHAN DOSEN TELADAN: STUDI KASUS UNIVERSITAS INDRAPRASTA
title_sort kajian penerapan algoritma c4.5, naive bayes, dan neural network dalam pemilihan dosen teladan: studi kasus universitas indraprasta
publisher Lembaga Penelitian Universitas Indraprasta PGRI
series Faktor Exacta
issn 1979-276X
2502-339X
publishDate 2016-09-01
description <p>Improving quality of services to students with a way to do an assessment of the faculty is one way for the Universitas Indraprasta to keep competitive with competitors.</p><p>In addition, the necessary supporting data as a basis for decision-making comes from parts and other agencies so that decision-making process requires a long time. For data analysis, this research using descriptive analysis techniques and instruments used to determine policy priorities is by using the Algoritma C45, Naive Bayes, and Neural Network with WEKA software.</p><p> This research is expected to produce a model that can support decision making in terms of determining a lecturer with the best performance will be stated as outstanding lecturers each year.</p><p> </p><p><strong><em> </em></strong><strong><em>Keywords</em></strong><strong><em>: </em></strong><em>Grade</em><em> </em><em>Decision Support, Algoritma C45, Naive Bayes and Neural Network, lecturer assessment</em></p>
url http://journal.lppmunindra.ac.id/index.php/Faktor_Exacta/article/view/813
work_keys_str_mv AT laksanapriyoabadi kajianpenerapanalgoritmac45naivebayesdanneuralnetworkdalampemilihandosenteladanstudikasusuniversitasindraprasta
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