Optimization Neural Network of Election of Investment Sector and Mapping of The Best Investment Are in The Terrible Area

Abstract

Abstract The problem of this is still very interested domestic and foreign investors to invest in remote areas of Indonesia (3T) Disadvantaged, Outermost, Frontline whereas 3T Region has a very promising potential from various sectors. The purpose of this paper is to see what is best and best for investments that will provide positive results for both foreign and domestic investors. The analytical process used is the neural network and sensitivity analysis used to predict and determine what is most likely to be done investment. The results of the analysis in this paper are from the sector which analysed that is the sector of Hotel and Tourism Industry, Trade and Retail Sector, The most profitable E-commerce, Infrastructure and Construction, Plant and Agriculture business in 3T area is 1. Infrastructure & Construction, with value output 0.8269 2. Factory & Agriculture with output 0.7995 3. Hotels and Industries with output 0.7688 4 Retail trade & sector with output 0.82695. Ecommerce and Business with output 0.0261 Furthermore from 5 Regions which are sampling 3T area that is Aceh Singkil, Nias, South Nias, Coastal west Lampung, Mentawai Islands, Potential area for investment is 1. Five.8219 2. Mentawai with output 0.8021 3.West Lombok with output 0.7719 4.Nias with output 0.7072 and 5.South Nias with output 0.0272.