Harmoko Lubis
Akademi Informatika dan Komputer Medicom, Medan, Indonesia

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Development of agile-based website and field person application for construction project data management Jontinus Manullang; Kamson Sirait; Sartika Dewi Purba; Aditiarno Manik; Harmoko Lubis
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i3.256

Abstract

This research discusses the creation of a website and Field Person application designed to assist the management of construction project data processing. This system allows company leaders to monitor projects in real-time and assist field heads in compiling work reports. The main functions implemented include material management, shopping data, equipment data, work progress data, incoming funds, material usage, material requests, wage requests, and wage payments. This research uses an object-oriented software development methodology with an Agile approach to ensure flexibility and responsiveness to changing user needs, and offers innovative solutions in construction project management by utilizing technology to improve efficiency and accuracy in project data management.
Cryptocurrency Exchange Selection Decision Support System Using Preference Selection Index Dwi Prasetyo; Nining Ariati; Harmoko Lubis; Aswin Akbar
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.148

Abstract

Cryptocurrency trading is a very popular business of buying and selling digital money today. Many investors trade cryptocurrency assets through cryptocurrency exchange platforms in the hope of getting a large profit difference. However, the cryptocurrency trading business is not always favourable for investors as choosing the wrong cryptocurrency exchange can result in huge losses from the trades made. Based on these problems, it is necessary to have a decision support system for selecting the most relevant cryptocurrency exchange to be used as a cryptocurrency trading platform that can increase the chances of investors making profits. The decision support system method used in this research is Preference Selection Index (PSI). The results of the selection of cryptocurrency exchanges using the Preference Selection Index (PSI) method in this study recommend Indodax as the most relevant cryptocurrency exchange used by investors to gain profits in running a cryptocurrency trading business because it gets the highest value (0.893662729) compared to 4 other alternatives.