ANALYSIS AND APPLICATION DEVELOPMENT OF DECISION SUPPORT SYSTEM OF BOND INVESTMENT RECOMMENDATIONS WITH FUZZY ANALYTICAL HIERARCHY PROCESS (FUZZY AHP) METHOD
Amalia Sharfina Sulwan (a), Siti Komsiyah (b) , Viska Noviantri (c)

(a),(b),(c)
Mathematics Department
School of Computer Science, Bina Nusantara University Jakarta, Indonesia 11480

Abstract

This research applies Fuzzy-Analytical Hierarchy Process (AHP) method in determining the best government bond to be invested and make a web application which is easy to be accessed by various circles. By Fuzzy-AHP method, the criteria and sub-criteria that can influence decision making in bond investments will be calculated the weight of each criterion and sub-criteria to find the most important criteria and sub-criteria to be considered in choosing bonds and to support the best decision in the selection of bond series of products for investment. The purpose of this application and research is to facilitate customers in choosing bond products with various criteria and conditions and also encouraging customers to actively engage in bond transactions in case at BCA that will impact on the increase in fee-based income. The result is the criteria in bond investment are currencies, investment returns, and investor capability. It can be concluded from this research that customers pay more attention to investment yield criteria than currency and investor^s ability with 58.8% weight and the most considered sub-criteria are hold time (40.582%) and Yield/YTM (23.226%).

Keywords: Decision Support System - investment -Fuzzy AHP - recommendation of bonds

Topic: Mathematics