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A Robust Data Envelopment Analysis for Evaluating Technical Efficiency of Indonesian High Schools

Jurnal Pendidikan IPA Indonesia · Vol. 7 No. 1 (2018) · pp. 114–121

DOI
10.15294/jpii.v7i1.9883
ISSN
2089-4392, 2339-1286
Published
2018-04-03
Publisher
Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores. However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. Besides, it is a powerful approach to estimate technical efficiency when outliers contaminate the data set. Statistical data from general senior secondary schools in the period 2015/2016 is analyzed, using 34 provinces as decision-making units (DMUs), with eight input and six output variables. The results indicate that the average efficiency score of Indonesia’s major political subdivisions in managing high school education is 0.936. Furthermore, as many as 32.35 percents of provinces achieve efficient performances, with an efficiency score equal to one, while 17 provinces have above average efficiency scores. The results also indicate that efficiency scores from robust data envelopment analysis provide better accuracy. Overall, application of robust data envelopment analysis (RDEA) is appropriate for measuring the efficiency of provincial performance in organizing secondary education.

Keywords

Collaboration network of the authors

14 authors · 22 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan
  • Universiti Malaysia Terengganu
  • Universitas Nahdlatul Ulama Indonesia
  • Sebelas Maret University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Gamantyo HendrantoroInstitut Teknologi Sepuluh Nopember1
Achmad MauludiyantoAffiliation unknown1
Mauridhi Hery PAffiliation unknown1
Alfonsus Julanto EndhartaAffiliation unknown1
Adi SoeprijantoInstitut Teknologi Sepuluh Nopember1
Ismit MadoInstitut Teknologi Sepuluh Nopember1
Muhamad Safiih LolaUniversiti Malaysia Terengganu1
Salsalia Nor FatimahUniversitas Nahdlatul Ulama Indonesia1
Kartika Chrysti SuryandariSebelas Maret University1
Sahlan SahlanAffiliation unknown1
Sartiah YusranAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/nju/index.php/jpii/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A Robust Data Envelopment Analysis for Evaluating Technical Efficiency of Indonesian High Schools</dc:title>
	<dc:creator>Mahmudah, U.</dc:creator>
	<dc:creator>Suhartono, S.</dc:creator>
	<dc:creator>Rohayana, A. D.</dc:creator>
	<dc:subject xml:lang="en-US">DEA; efficiency;robust;outliers</dc:subject>
	<dc:description xml:lang="en-US">The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores. However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. Besides, it is a powerful approach to estimate technical efficiency when outliers contaminate the data set. Statistical data from general senior secondary schools in the period 2015/2016 is analyzed, using 34 provinces as decision-making units (DMUs), with eight input and six output variables. The results indicate that the average efficiency score of Indonesia’s major political subdivisions in managing high school education is 0.936. Furthermore, as many as 32.35 percents of provinces achieve efficient performances, with an efficiency score equal to one, while 17 provinces have above average efficiency scores.  The results also indicate that efficiency scores from robust data envelopment analysis provide better accuracy. Overall, application of robust data envelopment analysis (RDEA) is appropriate for measuring the efficiency of provincial performance in organizing secondary education.</dc:description>
	<dc:publisher xml:lang="en-US">Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)</dc:publisher>
	<dc:contributor xml:lang="en-US">Ministry of Education and Culture of Republic of Indonesia</dc:contributor>
	<dc:date>2018-04-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://journal.unnes.ac.id/nju/jpii/article/view/9883</dc:identifier>
	<dc:identifier>10.15294/jpii.v7i1.9883</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Pendidikan IPA Indonesia; Vol 7, No 1 (2018): March 2018; 114-121</dc:source>
	<dc:source>2089-4392</dc:source>
	<dc:source>2339-1286</dc:source>
	<dc:source>10.15294/jpii.v7i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/nju/jpii/article/view/9883/7631</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Jurnal Pendidikan IPA Indonesia</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
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