Developing a Decision Support System Model Based on Artificial Intelligence Strategy in Stock Investment for Organisations

Kartanto, Lucky and Nugroho, Mulyanto and Ridwan, M. Shihab (2022) Developing a Decision Support System Model Based on Artificial Intelligence Strategy in Stock Investment for Organisations. International Journal of Mechanical Engineering, 7 (1). pp. 1351-1358. ISSN 0974-5823

Text (SIMILARITY) TURNITIN - DEVELOPING A DECISION SUPPORT SYSTEM MODEL BASED ON ARTIFICIAL INTELLIGENCE STRATEGY IN STOCK INVESTMENT FOR ORGANISATIONS.pdf Download (2MB)

Abstract

Within this fourth industrial revolution, countries have focused on capital markets. Capital markets play a critical role in a country’s economic growth and development. In some states, capital markets have been a trigger for the country's progress, thus meaning that with the development of capital markets there is progress in the economy. Indonesia Stock Exchange (IDX) recorded a surge in investor growth amongst millennials. Currently, millennial stock investors make up 60 percent of the total stock investors on Indonesia Stock Exchange. Some companies in Indonesia are recording the number of individual investors or single investor identification (SID) dominated by young investors. Though this is true, in a study of documents it has been established that 69 percent of Indonesian millennials do not have a stock investment strategy. Upon this, the present study aims to discover a Financial Technology (Fintech)-Based Decision Support System Model for implementation in investing stocks that are effective, efficient and attractive to stock investors. The research applied software found on windows 10 Operating System, specifically using telegram bot account, XAMPP- Apache working as a local server, Software Ami broker, Yahoo Plugins daily Stock, while PHP the stock database used in this research was taken in real-time from yahoo finance. This research concludes that a Decision Support System (DSS) Model for Stock Investment is capable of providing information needed by investors to make wise investment decisions and helps them to create a portfolio in stock investment. This research therefore, proposes that with current Model, comprising an integrated server, Amibroker, and telegram bot assures the investor convenience to access the stock analysis and use both technical analysis and fundamental analysis as major considerations for them to make appropriate and decisive investment decisions. In other words, by using this application, investors can obtain investment strategies that have been planned with minimized risks.

Item Type:	Article
Uncontrolled Keywords:	Decision Support System, Fintech, Investment Decision, Technical and Fundamental Analysis
Subjects:	H Social Sciences > HG Finance > HG1-9999 Finance T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	Artikel Ilmiah HROD
Depositing User:	Staff Perpustakaan Uwika
Date Deposited:	24 Mar 2023 06:56
Last Modified:	24 Mar 2023 06:58
URI:	http://repository.widyakartika.ac.id/id/eprint/3216

Actions (login required)

View Item