Penerapan Breadth First Search untuk Mengelola Keuangaan dengan Menentukan Karakteristik Investasi Individu

Authors

  • Danil Chandra Bunda Mulia
  • Amalia Tri Ramaningtyas Universitas Bunda Mulia Jakarta
  • Lukman Hakim Universitas Bunda Mulia Jakarta

DOI:

https://doi.org/10.54367/jtiust.v6i2.1561

Keywords:

Investasi, Breadth First Search, Pencarian Pohon Biner

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%

Author Biographies

Danil Chandra, Bunda Mulia

<br data-mce-bogus="1">

Amalia Tri Ramaningtyas, Universitas Bunda Mulia Jakarta

<br data-mce-bogus="1">

Lukman Hakim, Universitas Bunda Mulia Jakarta

<br data-mce-bogus="1">

References

A. V. D. Sano, “Sistem Pakar Berbasis Web untuk Pengenalan Dini terhadap Karakter Investasi Individu,” ComTech Comput. Math. Eng. Appl., vol. 3, no. 1, pp. 281–290, 2012.

N. Putri and H. Rahyuda, “Pengaruh tingkat financial literacy dan faktor sosiodemografi terhadap perilaku keputusan investasi individu,” E-Jurnal Ekon. dan Bisnis Univ. Udayana, vol. 6, no. 9, pp. 3407–3434, 2017.

L. Hakim and H. Seruni, “Indikasi Penyimpangan Laporan Keuangan Akademik Universitas XYZ Menggunakan Algoritma Greedy dan K-Means,” J. RESTI (Rekayasa Sist. Dan Teknol. Informasi), vol. 2, no. 1, pp. 301–306, 2018.

A. Carabelli and M. Cedrini, “The economic problem of happiness: Keynes on happiness and economics,” in Forum for Social Economics, 2011, vol. 40, no. 3, pp. 335–359.

D. Kahneman and A. Deaton, “High income improves evaluation of life but not emotional well-being,” Proc. Natl. Acad. Sci., vol. 107, no. 38, pp. 16489–16493, 2010.

D. Kartini, “Pengaruh Financial Literacy dan Faktor Demografi Terhadap Keputusan Investasi Mahasiswa,” 2018.

S. W. Hati and W. S. Harefa, “Analisis Faktor-Faktor yang Mempengaruhi Minat Berinvestasi di Pasar Modal Bagi Generasi Milenial,” J. Appl. Bus. Adm., vol. 3, no. 2, pp. 281–295, 2019.

I. P. Sonya and P. Prihandoko, “Analisis Web Scraping untuk Data Bencana Alam dengan Menggunakan Teknik Breadth-First Search terhadap 3 Media Online,” J. Ilm. Inform. Komput., vol. 21, no. 3, 2017.

A. P. Rustiaria, “Pengaruh pengetahuan keuangan, sikap keuangan, dan tingkat pendidikan terhadap perilaku pengelolaan keuangan keluarga.” Stie Perbanas Surabaya, 2017.

M. Hayati, “Investasi Menurut Perspektif Ekonomi Islam,” Ikonomika, vol. 1, no. 1, pp. 66–78, 2016.

E. G. Masala, I. P. Saputro, and R. T. B. Turang, “PERBANDINGAN ALGORITMA BREADTH FIRST SEARCH DAN DEPTH FIRST SEARCH PADA GAME MUMMY MAZE DELUXE,” J. Ilm. Realt., vol. 14, no. 2, pp. 143–148, 2018.

Y. A. Pratama and E. Junianto, “Sistem Pakar Diagnosa Penyakit Ginjal dan Saluran Kemih dengan Metode Breadth First Search,” J. Inform., vol. 2, no. 1, 2015.

Morgans Financial Limited, “Wealth Management Risk Profile Questionnaire Confidential Document,” pp. 1–13, 2017, [Online]. Available: https://www.morgans.com.au/morgans-assets/PDFs/Rebranded forms and brochures/Wealth Management Risk Profile Questionnaire.pdf?la=en.

Downloads

Published

2021-12-14

Issue

Section

Artikel