Classification of the Mainstay Economic Region Using Decision Tree Method

The development of the region cannot be separated from the concept of economic growth and the determination of the mainstay region as a regional center that is expected to have a positive impact on economic growth to the surrounding regions. In fact, the determination of the mainstay region is a dif...

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Main Authors: Ismanto, Heru (Author), Azhari, Azhari (Author), Suharto, Suharto (Author), Arsyad, Lincolin (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-12-01.
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042 |a dc 
100 1 0 |a Ismanto, Heru  |e author 
100 1 0 |e contributor 
700 1 0 |a Azhari, Azhari  |e author 
700 1 0 |a Suharto, Suharto  |e author 
700 1 0 |a Arsyad, Lincolin  |e author 
245 0 0 |a Classification of the Mainstay Economic Region Using Decision Tree Method 
260 |b Institute of Advanced Engineering and Science,   |c 2018-12-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13177 
520 |a The development of the region cannot be separated from the concept of economic growth and the determination of the mainstay region as a regional center that is expected to have a positive impact on economic growth to the surrounding regions. In fact, the determination of the mainstay region is a difficult thing to do. Some cases of the determination of the mainstay region are mostly on the basis of the prerogative rights of the policy makers without carefully seeing the achievements of the development of a region. The objective of this study is to develop a classification model of the mainstay economic region using computational techniques. The decision tree methods of NBTree and J48 are used in this study and combined with Klassen typology. The results of this study show that J48 algorithm has better accuracy than NBTree in the formation process of decision tree. The accuracy of J48 is higher than NBTree i.e. 68.96%. The comparative result of the classification of the mainstay economic region between Klassen and J48 shows that there is a shift in the class position of the development quadrant. In Klassen classification, there are three regions that are categorized into the mainstay regions with advanced development and rapid growth (K1). Meanwhile, J48 results show that there is no region categorized into K1. However, the mainstay economic region on J48 is based on the level of development with the level below K1, i.e. K2. J48 classification results show that there are ten regencies that are categorized into the mainstay economic regions, namely Biak, Regency of Jayapura, Jayawijaya, Kerom, Merauke, Mimika, Nabire, Ndunga, Yapen, and the Municipality of Jayapura. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Computer Science 
690 |a Mainstay Region, Klassen, Decision Tree, NBTree, J48. 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: December 2018; 1037-1044 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13177/9900 
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