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

Clara Hetty Primasari (Information System Department, Universitas Atma Jaya Yogyakarta)
Retantyo Wardoyo (Computer Science and Electronics Department, Universitas Gadjah Mada)
Anny Kartika Sari (Computer Science and Electronics Department, Universitas Gadjah Mada)

International Journal of Advances in Intelligent Informatics
Vol 4, No 1 (2018): March 2018

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.