Integrated AHP, Profile Matching, and TOPSIS for selecting type of goats based on environmental and financial criteria

(1) * Clara Hetty Primasari Mail (Information System Department, Universitas Atma Jaya Yogyakarta, Indonesia)
(2) Retantyo Wardoyo Mail (Computer Science and Electronics Department, Universitas Gadjah Mada, Indonesia)
(3) Anny Kartika Sari Mail (Computer Science and Electronics Department, Universitas Gadjah Mada, Indonesia)
*corresponding author


Goat farm businessman should considered environmental and financial criteria in breeding their commodities. The environmental factors are temperature, humidity, rain intensity, and altitude. For financial criteria, used several sub criteria i.e NPV (Net Present Value), ROI (Return On Investment), BCR (Benefit Cost Ratio), PBP (Payback Period), and BEP (Break Event Point) to determine financial feasibility. This research aims to develop a decision support system for selecting type of goat to breed by combining AHP, Profile Matching, and TOPSIS. AHP method was used for calculating the weight, Profile Matching for environment suitability evaluation, and TOPSIS for producing a valid decision that represents the goat expert's decision. The result showed that three methods can be integrated, and an experimental results which was validated by expert show that Bligon goat had the highest preference value (0.8835847). This can be concluded that DSS decision was valid and it successfully represented expert’s consideration.


DSS; Goat; Financial Analysis; Enviroment Analysis



Article metrics

Abstract views : 2141 | PDF views : 459




Full Text



[1] D. W. J. Foeken and S. O. Owuor, “Farming as a livelihood source for the urban poor of Nakuru, Kenya,” Geoforum, vol. 39, no. 6, pp. 1978–1990, Nov. 2008, doi:

[2] C. Devendra and G. B. McLeroy, Goat and sheep production in the tropics. Longman Group, 1982, available at:

[3] T. A. Kusumastuti and B. Susilo, Perkampungan ternak kambing, wahana eduwisata dan sentra produksi di pedesaan (pendekatan ekonomi lingkungan berbsis sistem ekonomi geografis). Yogyakarta: Gadjah Mada University Press, 2014.

[4] M. Wodzicka-Tomaszewska and M. Mastika, Produksi kambing dan domba di Indonesia. Sebelas Maret University Press, 1993.

[5] E. Turban, J. E. Aronson, and T.-P. Liang, Decision support systems and intelligent systems. Pearson/Prentice Hall, 2005.

[6] F. Dweiri, S. Kumar, S. A. Khan, and V. Jain, “Designing an integrated AHP based decision support system for supplier selection in automotive industry,” Expert Syst. Appl., vol. 62, pp. 273–283, Nov. 2016, doi:

[7] C. López and A. Ishizaka, “A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience,” J. Bus. Res., Oct. 2017, doi:

[8] B. Sennaroglu and G. Varlik Celebi, “A military airport location selection by AHP integrated PROMETHEE and VIKOR methods,” Transp. Res. Part D Transp. Environ., vol. 59, pp. 160–173, Mar. 2018, doi:

[9] N. Yıldız and F. Tüysüz, “A hybrid multi-criteria decision making approach for strategic retail location investment: Application to Turkish food retailing,” Socioecon. Plann. Sci., Mar. 2018, doi:

[10] C. Franco, M. Bojesen, J. L. Hougaard, and K. Nielsen, “A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants,” Appl. Energy, vol. 140, pp. 304–315, Feb. 2015, doi:

[11] H. Gupta, "Selection of best hospital for surgery using AHP", IUP Journal Of Operations Management, vol. 14, no. 3, pp. 18-32, 2015, available at:

[12] B. D. Rouyendegh, U. Baç, and T. E. Erkan, “Sector selection for ERP implementation to achieve most impact on supply chain performance by using AHP TOPSIS hybrid method,” Tehnicki Vjesnik/Technical Gazette, vol. 21, no. 5, pp. 933-937, 2014, available at:

[13] L. Ren, J.-T. Liu, J.-J. Ni, and X.-Y. Xiang, “Health evaluation of a lake wetland ecosystem based on the TOPSIS method,” Polish J. Environ. Stud., vol. 23, no. 6, pp. 2183–2190, 2014, available at:

[14] Z. Tharo and A. P. U. Siahaan, “Profile Matching in Solving Rank Problem,” IOSR J. Electron. Commun. Eng., vol. 11, no. 5, pp. 73–76, 2016, doi:

[15] Y. Liu, P. L. Zhang, and H. G. Liu, “Manufacturing Enterprise Suppliers Selection Based on Improved TOPSIS Method,” Appl. Mech. Mater., vol. 602–605, pp. 41–44, Aug. 2014, doi:

[16] E. Eraslan and Y. Tansel İç, “A multi‐criteria approach for determination of investment regions: Turkish case,” Ind. Manag. Data Syst., vol. 111, no. 6, pp. 890–909, Jun. 2011, doi:

[17] Y. Zhang and L. Feng, “Evaluation and optimization of children’s recreational center in urban green public space based on AHP-TOPSIS,” J. Appl. Sci., vol. 13, no. 6, pp. 895–900, Jun. 2013, doi:

[18] O. Žižlavský, “Net present value approach: method for economic assessment of innovation projects,” Procedia - Soc. Behav. Sci., vol. 156, pp. 506–512, Nov. 2014, doi:

[19] E. Wahab, A. Shamsuddin, N. H. Abdullah, and N. A. Hamid, “Users’ satisfaction and return on investment (ROI) for online database library databases: a malaysian technical university perspective,” Procedia - Soc. Behav. Sci., vol. 219, pp. 777–783, May 2016, doi:

[20] D. Ofileanu and S. S. Bumbescu, “The analysis of the factors which influence the change of the breakeven point,” Procedia Econ. Financ., vol. 16, pp. 356–367, Jan. 2014, doi:

[21] T. Wachowicz and P. Błaszczyk, “TOPSIS based approach to scoring negotiating offers in negotiation support systems,” Gr. Decis. Negot., vol. 22, no. 6, pp. 1021–1050, Nov. 2013, doi:

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

International Journal of Advances in Intelligent Informatics
ISSN 2442-6571  (print) | 2548-3161 (online)
Organized by UAD and ASCEE Computer Society
Published by Universitas Ahmad Dahlan
E: (paper handling issues) (publication issues)

View IJAIN Stats

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0