Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JIKA (Jurnal Informatika)
Arry Akhmad Arman
Institut Teknologi Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Model Penentuan Urgensi Perbaikan Tower Menggunakan Metode MOORA Abdurrasyid Abdurrasyid; Teguh Aryo Nugroho; Didik Fauzi Dakhlan; Arry Akhmad Arman; Dimitri Mahayana
Jurnal Informatika Vol 6, No 1 (2022): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v6i1.5496

Abstract

Quality control can suppress or reduce the volume of errors and repairs in the future where it can also minimize costs incurred by the company if later there is damage. These activities must be carried out carefully and effectively so that the results obtained are in accordance with the initial objectives. In fact, the implementation of equipment quality control activities in the field at PT. Indonesia Comnets Plus SBU Regional Sumbagsel is still done manually so it is not practical and takes a lot of time. This research is a design science research (DSR) by making a decision support system to help determine the quality of equipment in the field and determine the level of urgency for repairs to the tower that suffered the most damage using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) Method. The accuracy results obtained in the implementation of this method are 100%
Generic Solution Architecture Design of Regulatory Technology (RegTech) Benny Firmansyah; Arry Akhmad Arman
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 2: June 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i2.4533

Abstract

Regulatory Technology, or RegTech, uses new technology that assists the financial industry, such as FinTech and banks, in meeting regulatory compliance. RegTech automates various regulatory compliance activities that were previously manual, such as regulatory interpretation and regulatory reporting, amidst the challenges of the increasing volume of regulations and operational data. Some cutting-edge technologies discovered at RegTech include big data analytics, artificial intelligence, machine learning, robotic process automation, and cloud computing. Although very dominant in the financial industry, RegTech solutions have the potential to be applied in other regulated industries besides finance. Several studies have explored the potential for applying RegTech in industries other than finance, such as charitable organizations, real estate marketplace, pharmaceuticals, and healthcare. Therefore, this study aims to design a generic RegTech solution architecture so that it can be adopted and applied in various regulated industries achieve regulatory compliance more efficiently. Based on the evaluation results, the proposed architecture can be applied in an industrial environment other than financial to be considered generic. Furthermore, an evaluation of the comparison of regulatory compliance business processes without and by implementing RegTech can produce a time efficiency of 95.16%. These results show that RegTech solutions can achieve regulatory compliance more efficiently.
Co-Authors Abdurrasyid, Abdurrasyid Benny Firmansyah Didik Fauzi Dakhlan Dimitri Mahayana Teguh Aryo Nugroho