Performance evaluation of Indonesia's large and medium-sized industries using Data Envelopment Analysis method

Erni Puspanantasari Putri, Sukon Aduldaecha, Bonifacius Raditya Sri Pramana Putra, Agatha Hannabel Avnanta Puteri

Abstract


Performance evaluation is essential for an industry's ability to operate successfully. Efficiency management is becoming crucial and important to enhancing the sustainability of the industry. The industry needs to measure its performance for the following reasons: (i) develop the economy and its operation efficiency in a sustainable way; (ii) supply data for decision-making units (DMUs); and (iii) optimize output using the fewest resources. Performance measurement indicators relate to the performance of the industry itself, such as: added value/cost of production factors, indirect taxes, number of workers, input costs, number of companies, added value/market prices, and production index. The purpose of this research is to measure the performance of large and medium-sized industries (LMIs) in Indonesia. LMIs have a strategic role as the main engine and driver of the economy. Measuring LMI performance is very necessary so that LMI can grow and develop sustainably. Data envelopment analysis (DEA) is a method for measuring performance. DEA is a non-parametric linear programming technique and used to determine comparisons between DMUs with different inputs and outputs. The research results indicate that there are three DMU classification categories, namely: Category 1 (ES = 1), Category 2 (ES = 0.9986-0.9998), and Category 3 (ES = 0.9971-0.9974). The percentages for each category are 50%, 37.5%, and 12.5%.


Keywords


Performance evaluation; Large and medium-sized industries; DEA; DMU; Efficiency score

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References


E. P. Putri, D. Chetchotsak, P. Ruangchoenghum, M. A. Jani, and R. Hastijanti, “Performance Evaluation of Large and Medium Scale Manufacturing Industry Clusters in East Java Province, Indonesia,” International Journal of Technology, vol. 7, no. 7, pp. 1117-1127, 2016, doi: https://doi.org/10.14716/ijtech.v7i7.5229.

BPS, Perusahaan Industri Pengolahan, Badan Pusat Statistik Jawa Timur, 2023, https://jatim.bps.go.id/subject/9/industri.html#subjekViewTab1.

Bappenas, Bappenas: Indonesia Andalkan Industri untuk Capai Pertumbuhan Ekonomi, 2022, https://www.bappenas.go.id/id/berita/bappenas-indonesia-andalkan-industri-untuk-capai-pertumbuhan-ekonomi-bmPfm.

Disperindag, Peran Industri Pengolahan Sebagai Penunjang Ekonomi Disaat Pandemi-19, 2021, https://disperindag.jogjaprov.go.id/peran-industri-pengolahan-sebagai-penunjang-ekonomi-disaat-pandemi19-berita-d554f7bb7be44a7267068a7df88ddd20.

E. P. Putri, “Performance Measurement using DEA-Multipliers Method: A Case Study of Clean Water Companies in Indonesia,” Proceeding of International Exchange and Innovation Conference on Engineering & Sciences (IEICES), Kyushu University, Fukuoka, Japan, vol. 8, pp. 114 – 121, 2022, doi: https://doi.org/10.5109/5909075.

V. Fenyvesa, T. Tarnóczia, K. Zsidó, “Financial Performance Evaluation of Agricultural Enterprises with DEA Method,” Procedia Economics and Finance, vol. 32, pp. 423-431, 2015, doi: 10.1016/S2212-5671(15)01413-6, doi: 10.1016/S2212-5671(15)01413-6.

M. J. Rezaee, M. A. Onari, and M. Saberi, “A Data-Driven Decision Support Framework for DEA Target Setting: An Explainable AI Approach,” Engineering Applications of Artificial Intelligence, vol. 127, no. A, pp. 1-14, 2024, doi: https://doi.org/10.1016/j.engappai.2023.107222.

E. P. Putri and D. Chetchotsak, “Performance Evaluation Using A DEA-Multipliers Model: A Case Study of Small and Medium Sized Enterprises in Thailand,” Proceedings of the 2017 International Conference on Physics, Mechanics of New Materials and Their Applications, Nova Science Publishers, New York, pp. 499-510, 2018,

E. P. Putri and C. Kusoncum, “Performance Evaluation Using PCA-CRS Input Oriented DEA Method: A Case Study of East Java Exports in Indonesia to ASEAN Countries,” Proceedings of the 2019 International Conference on Physics, Mechanics of New Materials and Their Applications, Nova Science Publishers, New York, pp. 445-452, 2020.

S. Giri, P. Paul, and P. Mitra, “Understanding the Performance Measurement of Indian Steel Industry: A DEA Approach,” Materialtodays:Proceeding, vol. 48, no. 5, pp. 1517-1522, 2022, doi: https://doi.org/10.1016/j.matpr.2021.09.424.

N-M T. Nong, “An Application of Delphi and DEA to Performance Efficiency Assessment of Retail Stores in Fashion Industry,” The Asian Journal of Shipping and Logistics, vol. 38, no. 3, pp. 135-142, 2022, doi: https://doi.org/10.1016/j.ajsl.2022.05.001.

E. P. Putri, D. Chetchotsak, M. A. Jani, and R. Hastijanti, “Performance Evaluation Using PCA and DEA: a Case Study of the Micro and Small Manufacturing Industries in Indonesia,” ASR: CMU Journal of Social Sciences and Humanities, vol. 4, no. 1, pp. 37-56, 2017, doi: https://doi.org/10.12982/CMUJASR.2017.0003.

E. P. Putri, Z. Arief, and I. Yuwono, “Performance Evaluation Using Input-Oriented Envelopment DEA Method: A Case Study of Micro and Small Industry in Indonesia” Physics and Mechanics of New Materials and Their Applications (2021- 2022), Nova Science Publishers, New York, pp. 289-304, 2023, doi: 10.52305/QLWW2709.

Kumparan, Pengertian Industri Besar dan Contohnya, 2023, https://kumparan.com/berita-terkini/pengertian-industri-besar-dan-contohnya-21WaEleq8Qt/full.

L. S. Rodrigues, M. dos Santos a, and C. de S. R Junior, “Application of DEA and Group Analysis using K-means; Compliance in the Context of the Performance Evaluation of School Networks,” Procedia Computer Science, vol. 199, pp. 687–696, 2022, doi: https://doi.org/10.1016/j.procs.2022.01.085.

P. Schrobback, K. Schrobback, S. Pascoe, S. McWhinnie, and E. Hoshino, “Spatial and Temporal Fishery Management Assessment using DEA: Case Study of Spanner Crabs in Queensland, Australia,” Fisheries Research, vol. 266, pp. 1–12, 2023, doi: https://doi.org/10.1016/j.fishres.2023.106789.

K. Sekitani and Y. Zhao, “Least-Distance Approach for Efficiency Analysis: A Framework for Nonlinear DEA Models,” European Journal of Operational Research, vol. 306, no. 3, pp. 1296-1310, 2023, doi: https://doi.org/10.1016/j.ejor.2022.09.001.

B. Djordjević, R. Maitra, and B Ghosh, “Environmental Efficiency Assessment of Dublin Port using Two-Stage Non-Radial DEA Model,” Maritime Transport Research, vol. 4, pp. 1-17, 2023, doi: https://doi.org/10.1016/j.martra.2022.100078.

S. Pascoe, T. Cannard, N. A. Dowling, C. M. Dichmont, F. Asche, and L. R. Little, “Use of Data Envelopment Analysis (DEA) to Assess Management Alternatives in the Presence of Multiple Objectives,” Marine Policy, vol. 148, pp. 1-11, 2023, doi: https://doi.org/10.1016/j.marpol.2022.105444.

E. P. Paraschi and L. Poulaki, “Assessing the Performance of Public Service Obligations Air Routes in Greece: A Two-Stage DEA Approach,” Transport Economics and Management, vol. 1, pp. 94-103, 2023, doi: https://doi.org/10.1016/j.team.2023.07.003.

T. N-M Nong, “Performance Efficiency Assessment of Vietnamese Ports: An Application of Delphi with Kamet Principles and DEA Model,” The Asian Journal of Shipping and Logistics, vol. 39, no. 1, pp. 1-12, 2023, doi: https://doi.org/10.1016/j.ajsl.2022.10.002.

S. N-Shirkouhi, M. Tavakoli, K. Govindan, and S. Mousakhani, “A Hybrid Approach using Z-Number DEA Model and Artificial Neural Network for Resilient Supplier Selection,” Expert Systems with Applications, vol. 222, pp. 1-16, 2023, doi: https://doi.org/10.1016/j.eswa.2023.119746.

W.D. Cook and J. Zhu, Data Envelopment Analysis: Modeling Operational Processes and Measuring Productivity, CreateSpace Independent Publishing Platform, 2008.

BPS, Industri Besar dan Sedang, 2023, https://www.bps.go.id/subject/9/industri-besar-dan-sedang.html#subjekViewTab3

E. P. Putri and D. Chetchotsak, “Performance Evaluation Using A DEA-Multipliers Model: A Case Study of Small and Medium Sized Enterprises in Thailand,” Proceedings of the 2017 International Conference on Physics, Mechanics of New Materials and Their Applications, Nova Science Publishers, New York, pp. 499-510, 2018.




DOI: https://doi.org/10.31315/opsi.v17i1.11785

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