Classification of Underdeveloped Regions in Indonesia Using Decision Tree Method

Bambang Widjanarko Otok, Rusdi Hidayat, Zumarsiyah Mahsyari, Siti Halimah Sa’diyah, Dimas Achmad Fadhila

Abstract

Underdeveloped regions categorized as the districts where their communities and areas are relatively less developed than other regions on a national scale. There are six criterias used to identify the underdeveloped problems, i.e. the economy, human resources, financial capability, infrastructure, accessibility, and regional characteristics. One of the methods to find the underdeveloped region clssified district was using the Village Potential Data (PODES) issued by BPS. PODES data is regional data emphasized on the description of regional situation. The coverage of PODES in 2014 and the activities were carried out on all administrative areas of village level throughout Indonesia. In this research, classification analysis was using decision tree conducted to the districts/cities in Java. The used data was secondary data obtained from BPS in the form of PODES data. This method provided 100% accuracy in classifying the underdeveloped regions in Java. After obtaining the classification result, we could find out the most significant factor that affect the region to be classified is an underdeveloped region. By knowing that significant indicator, this research could give the recommendation to the government to focus on handling it and developing regions in Indonesia rightly on target.

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Paper Citation


in Harvard Style

Otok B., Hidayat R., Mahsyari Z., Sa’diyah S. and Fadhila D. (2018). Classification of Underdeveloped Regions in Indonesia Using Decision Tree Method.In Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS, ISBN 978-989-758-348-3, pages 879-883. DOI: 10.5220/0007553308790883


in Bibtex Style

@conference{icps18,
author={Bambang Widjanarko Otok and Rusdi Hidayat and Zumarsiyah Mahsyari and Siti Halimah Sa’diyah and Dimas Achmad Fadhila},
title={Classification of Underdeveloped Regions in Indonesia Using Decision Tree Method},
booktitle={Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,},
year={2018},
pages={879-883},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007553308790883},
isbn={978-989-758-348-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,
TI - Classification of Underdeveloped Regions in Indonesia Using Decision Tree Method
SN - 978-989-758-348-3
AU - Otok B.
AU - Hidayat R.
AU - Mahsyari Z.
AU - Sa’diyah S.
AU - Fadhila D.
PY - 2018
SP - 879
EP - 883
DO - 10.5220/0007553308790883