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

Abstract

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.

VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation

“…This paper uses scientific articles to review as a study case. In general, the publication of scientific articles requires several stages: article submission, review process, and the announcement of review results: whether the article deserves to be published, should be revised or must be rejected [17]. The article publication consumes a relatively long time.…”

“…MCDM is divided into two approaches: single and hybrid. Single approach uses a particular method such as Analytic Hierarchy Process (AHP) [6]- [9], Data Envelopment Analysis (DEA) [10]- [13], Elimination at Choix Traduisant La Realite (ELECTRE) [14]- [16], Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) [17]- [19], Analytic Network Process (ANP) [20]- [22], and Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia (VIKOR) [23]- [26]. On the other hand, the hybrid approach combines more than one of a single method; for instance, the combination of AHP and VIKOR will be discussed in this study.…”

Technique for Order Preference by Similarity to Ideal Solution as Decision Support Method for Determining Employee Performance of Sales Section

“…Computer-based word is a keyword, because it is almost impossible to build a DSS without using a computer as a tool, especially for storing data and managing models. Here are the characteristics and capabilities of decision support systems obtained from various references [20], [34], [35]: a. Decision Support System Characteristics 1) Support all organizational activities 2) Support multiple interacting decisions 3) Can be used repeatedly and is constant 4) There are two main components, namely data and models 5) Use both external and internal data 6) Have the ability of What-if Analysis and Goal Seeking Analysis 7) Using some quantitative models b.…”

“…One method of decision support system that can be applied is TOPSIS method that apply the concept of completion with Fuzzy Multi Criteria Decision Making [14], [15]. Fuzzy Multi Criteria Decision Making is a decision making process contained in the TOPSIS method considering several alternatives and criteria in a fuzzy situation [16]- [20].…”

A Novelty of Data Mining for Promoting Education based on FP-Growth Algorithm

“…Association rule is one method that aims to find patterns that often appear among many transactions, where each transaction consists of several items so that this method will support the recommendation system through the discovery of patterns between items in transactions that occur [16], [19]- [21].…”