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All Journal Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Chandra, Danil
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Computer Science & IT Decision Sciences, Operations Research & Management

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PENERAPAN BREADTH FIRST SEARCH UNTUK MENGELOLA KEUANGAAN DENGAN MENENTUKAN KARAKTERISTIK INVESTASI INDIVIDU Chandra, Danil; Ramaningtyas, Amalia Tri; Hakim, Lukman
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1561

Abstract

Investment is an activity to manage finances to achieve their financial dreams. Investing has its own challenges for each individual. In general, people are very hesitant to invest for fear of loss or usury. One way to avoid losses from investing is to know the characteristics of self-investment. In this study, a website-based application was designed to identify the investment character. To recognize the characteristics of research data needed as application knowledge to make decisions. Breadth First Search (BFS) can search for characters that match the knowledge data that has been planted. Through this research, it can be seen that BFS has a sufficient level in recognizing and classifying characters. The accuracy rate of BFS in recognizing characteristics and providing related explanations obtained from the test is 91.6%
PENERAPAN BREADTH FIRST SEARCH UNTUK MENGELOLA KEUANGAAN DENGAN MENENTUKAN KARAKTERISTIK INVESTASI INDIVIDU Chandra, Danil; Ramaningtyas, Amalia Tri; Hakim, Lukman
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1057.39 KB) | DOI: 10.54367/jtiust.v6i2.1561

Abstract

Investment is an activity to manage finances to achieve their financial dreams. Investing has its own challenges for each individual. In general, people are very hesitant to invest for fear of loss or usury. One way to avoid losses from investing is to know the characteristics of self-investment. In this study, a website-based application was designed to identify the investment character. To recognize the characteristics of research data needed as application knowledge to make decisions. Breadth First Search (BFS) can search for characters that match the knowledge data that has been planted. Through this research, it can be seen that BFS has a sufficient level in recognizing and classifying characters. The accuracy rate of BFS in recognizing characteristics and providing related explanations obtained from the test is 91.6%
Co-Authors Lukman Hakim Ramaningtyas, Amalia Tri