An integrated AHP-TOPSIS framework for determination of leading industrial sectors

Authors

  • Dina Rahmayanti Universitas Andalas
  • Yumi Meuthia Universitas Andalas
  • Justin Albin Universitas Andalas
  • Ahmad Hafizh Ministry of Industry and Trade of West Sumatra Province

DOI:

https://doi.org/10.30656/jsmi.v5i2.3823

Keywords:

Leading industry, Decision making, AHP, TOPSIS

Abstract

This study aims to determine the leading industry in Padang Pariaman Regency, West Sumatera, Indonesia, based on data from the Central Statistics Agency and expert opinion on the Regency Industrial Development Plan. This research combines qualitative and quantitative techniques. This study uses four experts opinions consisting of three governments and one academician. The criteria and sub-criteria are determined based on the locally adapted National Industrial Development Master Plan. The method used in this study is a combination of the Multi Criteria Decision Making (MCDM) method, which integrates the Analytical Hierarchy Process (AHP) to calculate the weights and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the order of priority. The top five leading processing industries were selected the food industry, the leather or footwear industry, the chemical industry, the apparel industry, and other processing industries.

References

X. Bai. J. Chen. and P. Shi. “Landscape urbanization and economic growth in China: Positive feedbacks and sustainability dilemmas.†Environ. Sci. Technol.. vol. 46. no. 1. pp. 132–139. Jan. 2012. doi: https://doi.org/10.1021/es202329f.

Badan Pusat Statistik Kabupaten Padang Parimanan. “Kabupaten Padang Pariaman Dalam Angka 2020.†2020. Available: https://padangpariamankab.bps.go.id/publication/2020/04/27/66eb65a6a2d046b577c18ab5/kabupaten-padang-pariaman-dalam-angka-2020.html

M. S. Nazir. M. M. Nawaz. and U. J. Gilani. “Relationship between economic growth and stock market development.†African J. Bus. Manag.. vol. 4. no. 16. pp. 3473–3479. 2010. Available: https://academicjournals.org/journal/AJBM/article-abstract/229B23621149

D. Su and Y. Yao. “Manufacturing as the key engine of economic growth for middle-income economies.†J. Asia Pacific Econ.. vol. 22. no. 1. pp. 47–70. Jan. 2017. doi: https://doi.org/10.1080/13547860.2016.1261481.

S. Suharman. M. Nugroho. M. W. M. Asha. and H. W. Murti. “Inovasi. Teknologi dan Peningkatan Daya Saing Industri.†Pros. Semin. Nas. Has. Litbangyasa Ind. II. vol. 1. no. 1. pp. 137–148. 2018. Available: http://litbang.kemenperin.go.id/pmbp/article/view/4469.

E. K. Zavadskas and Z. Turskis. “Multiple criteria decision making (MCDM) methods in economics: An overview.†Technol. Econ. Dev. Econ.. vol. 17. no. 2. pp. 397–427. 2011. doi: https://doi.org/10.3846/20294913.2011.593291.

C. Kahraman, Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. Springer US, 2008. Available: https://books.google.co.id/books?id=s2GOmBVdXYoC

M. Aruldoss. T. M. Lakshmi. and V. Prasanna Venkatesan. “A Survey on Multi Criteria Decision Making Methods and Its Applications.†Am. J. Inf. Syst.. vol. 1. no. 1. pp. 31–43. 2013. Available: http://pubs.sciepub.com/ajis/1/1/5/.

M. L. Bell, B. F. Hobbs, and H. Ellis, “The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners,†Socioecon. Plann. Sci., vol. 37, no. 4, pp. 289–316, 2003, doi: https://doi.org/10.1016/S0038-0121(02)00047-2.

H. Akay and M. Baduna Koçyiğit. “Flash flood potential prioritization of sub-basins in an ungauged basin in Turkey using traditional multi-criteria decision-making methods.†Soft Comput.. vol. 24. no. 18. pp. 14251–14263. Sep. 2020. doi: https://doi.org/10.1007/s00500-020-04792-0.

R. Raei and M. Bahrani Jahromi. “Portfolio optimization using a hybrid of fuzzy ANP. VIKOR and TOPSIS.†Manag. Sci. Lett.. vol. 2. no. 7. pp. 2473–2484. Oct. 2012. doi: https://doi.org/10.5267/j.msl.2012.07.019.

A. Sanayei. S. Farid Mousavi. and A. Yazdankhah. “Group decision making process for supplier selection with VIKOR under fuzzy environment.†Expert Syst. Appl.. vol. 37. no. 1. pp. 24–30. Jan. 2010. doi: https://doi.org/10.1016/j.eswa.2009.04.063.

S. Unver and I. Ergenc. “Safety risk identification and prioritize of forest logging activities using analytic hierarchy process (AHP).†Alexandria Eng. J.. vol. 60. no. 1. pp. 1591–1599. Feb. 2021. doi: https://doi.org/10.1016/j.aej.2020.11.012.

M. Punniyamoorty. P. Mathiyalagan. and G. Lakshmi. “A combined application of structural equation modeling (SEM) and analytic hierarchy process (AHP) in supplier selection.†Benchmarking. vol. 19. no. 1. pp. 70–92. Feb. 2012. doi: https://doi.org/10.1108/14635771211218362.

A. Görener. K. Toker. and K. Uluçay. “Application of Combined SWOT and AHP: A Case Study for a Manufacturing Firm.†Procedia - Soc. Behav. Sci.. vol. 58. pp. 1525–1534. Oct. 2012. doi: https://doi.org/10.1016/j.sbspro.2012.09.1139.

E. Suroso, W. Satyajaya, H. Al Rasyid, and T. P. Utomo, “Kajian penentuan komoditas unggulan dalam pengembangan teknologi agroindustri rakyat di Kabupaten Tulang Bawang,†Inov. Pembang. J. Kelitbangan, vol. 4, no. 01, pp. 22–36, 2016. Available: https://jurnal.balitbangda.lampungprov.go.id/index.php/jip/article/view/6

A. N. Rukmana. R. Amaranti. and M. A. Shakira. “Penetapan Potensi Unggulan Kecamatan Di Kabupaten Bandung.†J. Res. Technol.. vol. 6. no. 1. pp. 23–32. 2020. Available: https://www.journal.unusida.ac.id/index.php/jrt/article/view/137

E. N. Homer, A. D. Wicaksono, and F. Usman, “Penentuan Jenis Klaster industri di Kawasan Industri Arar Kabupaten Sorong Berdasarkan Metode Delphi dan Analytical Hierarchi Process (AHP),†Indones. Green Technol. J., vol. 5, no. 1, pp. 16–23, 2016. Available: https://igtj.ub.ac.id/index.php/igtj/article/view/159.

B. Vahdani. S. M. Mousavi. and R. Tavakkoli-Moghaddam. “Group decision making based on novel fuzzy modified TOPSIS method.†Appl. Math. Model.. vol. 35. no. 9. pp. 4257–4269. Sep. 2011. doi: https://doi.org/10.1016/j.apm.2011.02.040.

F. Torfi. R. Z. Farahani. and S. Rezapour. “Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives.†Appl. Soft Comput. J.. vol. 10. no. 2. pp. 520–528. 2010. doi: https://doi.org/10.1016/j.asoc.2009.08.021.

T. L. Saaty and L. G. Vargas, Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, vol. 175. Boston, MA: Springer US, 2012. doi: https://doi.org/10.1007/978-1-4614-3597-6.

J. qiang Wang. Y. xi Cao. and H. yu Zhang. “Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers.†Cognit. Comput.. vol. 9. no. 6. pp. 827–842. 2017. doi: https://doi.org/10.1007/s12559-017-9493-1.

Downloads

Published

2021-12-31

Issue

Vol. 5 No. 2 (2021)

Section

Research Article

License

All articles in Jurnal Sistem dan Manajemen Industri can be disseminated provided they include the identity of the article and the source of the article Jurnal Sistem dan Manajemen Industri. The publisher is not responsible for the contents of the article. The content of the article is the sole responsibility of the author

Creative Commons License

Jurnal Sistem dan Manajemen Industri is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
“An integrated AHP-TOPSIS framework for determination of leading industrial sectors”, j. sist. manaj. ind., vol. 5, no. 2, pp. 115–124, Dec. 2021, doi: 10.30656/jsmi.v5i2.3823.
Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1-10 of 38

You may also start an advanced similarity search for this article.