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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) International Journal of Economics, Business and Accounting Research (IJEBAR)
Andrew Andrew
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Mathematics Other

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SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN SEPEDA MOTOR MENGGUNAKAN METODE ELECTRE Andrew Andrew; Desi Arisandi; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.249 KB) | DOI: 10.24912/jiksi.v8i1.11261

Abstract

This system is built to help candidate of motorcycle buyers to determine which motorcycle is fit for them depending on criteria and their needs. This system uses 9 criteria in purchasing a motorcycle and uses the ELECTRE (Elimination Et Choix Traduisant La Realite) method to produce the best alternative of motorcycle for candidate of motorcycle buyers. The result of making this system are taken based on the average score obtained from the results of the questionnaire distributed to 7 testers. The average score is 40 out of a maximum score of 50 or in percentage is  80%. The accuration of ELECTRE method applied to the system is 100%. From this score, it concludes that  application ELECTRE method in this application can quite help candidate of motorcycles buyers to determine best options of motorcycle to be purchased according to their criteria and needs
DETECTING FRAUDULENT OF FINANCIAL STATEMENTS USING FRAUD S.C.O.R.E MODEL AND FINANCIAL DISTRESS Andrew Andrew; Candy Candy; Robin Robin
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 1 (2022): IJEBAR
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v5i4.4394

Abstract

The problem of fraud in financial statements is a global problem that has crossed borders of time and country. This research was created to prevent fraud by detecting financial statements listed on the Indonesia Stock Exchange (IDX). The fraud detection tools used in this research are F-S.C.O.R.E and Financial Distress. S.C.O.R.E stands for Stimulus, Capability, Opportunity, Rationalization, and Ego, which are supporting variables in detecting fraud. The research results show that Stimulus, Capability, and Financial Distress effectively detect fraud. Fraud detection in the research concluded that companies that have strong indications of committing fraud are companies categorized in industrials in the IDX Industrial Classification.
Co-Authors Candy, Candy Desi Arisandi Manatap Dolok Lauro, Manatap Dolok Robin Robin