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All Journal International Journal of Management Science and Information Technology (IJMSIT)
Satrio Danuasmo
University Bina Bangsa Getsempena
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Information Technology of Credit Collaterals That Will Be Auction Based on Google Maps Satria Prayudi; Mukhroji Mukhroji; Rossiana Ginting; Rahmat Sufri; Satrio Danuasmo
International Journal of Management Science and Information Technology Vol. 2 No. 2 (2022): July - December 2022
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v2i2.772

Abstract

Collateral is an asset owned by the borrower that is promised to the lender if the borrower is unable to repay the loan. If the borrower defaults, the lender can have the collateral at the beginning of the loan. The lack of dissemination of information, and the lack of informativeness of the media for delivering information on credit collateral that will be auctioned off to the general public has resulted in low competitiveness among buyers of collateral to be auctioned off. To solve this problem, an approach is needed in delivering information that is informative and on target. The purpose of this study is to increase prospective buyers, thereby triggering competitiveness against nominal bid prices, the process of delivering information to be more efficient and effective by implementing new innovations in advertising credit collateral information that will be auctioned. The methodology used in this paper is a Mind Map, flowmap and S.W.O.T analysis by developing a Geo-Location application for Credit Collateral that will be auctioned. By using this application, the company's revenue growth increases compared to not using the application.
Co-Authors Mukhroji Mukhroji Rahmat Sufri Rossiana Ginting Satria Prayudi