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All Journal Indonesian Journal of Electrical Engineering and Computer Science JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Rizal Isnanto
Universitas Diponegoro
Computer Science & IT Electrical & Electronics Engineering Engineering

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Big five personality with fuzzy approach to feasibility assessment and loan determination for peer-to-peer lending Iwan Purwanto; Rizal Isnanto; Aris Puji Widodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i3.pp1770-1786

Abstract

Bad credit is an uncollectible receivable because the debtor has difficulty repaying. In May 2023, the number of loans will increase by 3.36%. This is due to the inaccuracy of creditors in assessing prospective debtors. Several methods of valuation of prospective debtors have been widely used, but the use of the test big five personality (TBFP) method for the assessment of prospective debtors has not been found. This study will use TBFP as an input variable that will be calculated using fuzzy-Mamdani. The output of the system is in the form of a recommended percentage (%) of the loan amount. This research needs to be done to provide an assessment of prospective debtors to be more objective so that bad credit problems can be reduced. The results of this study are taken into consideration to be used as input in assessing prospective debtors that are more appropriate so that it has an impact on increasing income. For the community can increase business activities. For the government to help people’s economic activities. Our research still needs to be developed by adding variables such as the financial condition of prospective debtors, psychological values, and loan history. Apart from that, it is necessary to carry out an in-depth study regarding recommendations for loan amounts for bad credit
ANALYSIS OF UNIVERSITY HELPDESK INFORMATION TECHNOLOGY GOVERNANCE USING COBIT 2019 AND FUZZY AHP Syinsyina Arifa; Rizal Isnanto; Rinta Kridalukmana
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 8 No. 2 (2023)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v8i2.176

Abstract

University Helpdesk as an information system service provider provided by PTIPD University assists students, staff, and lecturers in solving problems using information systems and networks, as well as updating information online and offline. Based on the Regulation Minister of Religion of the Republic of Indonesia Number 17 of 2013 to improve the quality of university delivery and services, and GUG (Good University Governance) implementation, governance framework is needed to align the vision, mission, and objectives. IT governance framework covering management, operational, maintenance, monitoring, and evaluation processes. The analysis of IT governance with COBIT 2019 resulted in the preparation of recommendations based on the mapping of the domain (area) of the 2019 COBIT design factors. These recommendations are needed for an analysis of the maturity level of PTIPD university helpdesk information technology governance. The research data were taken from annual reports and Key Performance Indicators, observations, and interviews. Based on Design Factors 1-11 to determine domain area, the result is needing improved governance perspective APO12-Managed Risk and DSS05-Managed Security Services. The focus area is risk management and service security management in terms of data and information. The expected ability level is at level 4, while the current ability level analysis is at level 2, the gap level analysis is 2 levels different. The result is to get 12 recommendations and 2 main recommendations using the Fuzzy-AHP method based on the weighting of the criteria of Regulation number 12 of 2012 the management of information technology in university.
Co-Authors Aris Puji Widodo Iwan Purwanto Rinta Kridalukmana Syinsyina Arifa