Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)

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The Geospatial Job Placement Model Using Decision Tree Based on Mobile Application in Indonesia

Authors
B. Susetyo, I. Nurhayati, I. Purnahayu, P. Eosina
Corresponding Author
B. Susetyo
Available Online 6 March 2020.
DOI
10.2991/assehr.k.200303.076How to use a DOI?
Keywords
competency, job competitiveness, decision tree, profile matching, Geospatial workforce
Abstract

The development of the geospatial industry is increasing, hence the quality of geospatial information supplies and various technologies and workforce competencies are needed. At present, geospatial and labour in the field of geographic information system have a variety of features in the midst of global, regional and international competition. Therefore, the government will continue to improve competitiveness and workforce in this field through appropriate policies, regulations and training. The geospatial industry requires workers who are reliable and competent in their fields. The research objective is to create a decision model of GIS job positions that are in accordance with the needs of the geospatial industries. The decision tree model is used in the analysis based on pre-requisite of each GIS Job Position. The results of the study indicate that not all of respondent fulfil the pre-requisite of job positions, but approximately 95.4% is matching. The benefits of this model make self-evaluation for every geospatial workforce to get certificate of competency, especially in GIS fields.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
6 March 2020
ISBN
978-94-6252-918-2
ISSN
2352-5398
DOI
10.2991/assehr.k.200303.076How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - B. Susetyo
AU  - I. Nurhayati
AU  - I. Purnahayu
AU  - P. Eosina
PY  - 2020
DA  - 2020/03/06
TI  - The Geospatial Job Placement Model Using Decision Tree Based on Mobile Application in Indonesia
BT  - Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)
PB  - Atlantis Press
SP  - 315
EP  - 319
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200303.076
DO  - 10.2991/assehr.k.200303.076
ID  - Susetyo2020
ER  -