cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Saluky
Contact Email
luke4line@gmail.com
Phone
+6285173250534
Journal Mail Official
info@etunas.com
Editorial Address
Etunas Sukses Sistem Kantor Sekretariat Jl. Flamboyan 1 F2.34 Griya Caraka Kedawung, Kab Cirebon, Jawa Barat, Indonesia, 45153 Email: info[@]etunas.com
Location
Kab. cirebon,
Jawa barat
INDONESIA
International Journal of Smart Systems
Published by Etunas Sukses Sistem
ISSN : -     EISSN : 29865263     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
International Journal of Smart Systems with eISSN: 2986-5263 is a peer-reviewed journal as a media for publishing research results that support the development of cities, villages, sectors, and other systems. The International Journal of Smart Systems is published by Etunas Suskes Sistem and is published every three months (February, May, August, and November). This journal is expected to be a forum for the publication of research results from practitioners, academics, and related interested parties. The scope of the system discussed is attached but not limited; Smart System System engineering Artificial Intelligence (AI) Technology Machine Learning & Deep Learning Internet of Things Big data Computer Vision Natural Language Processing Smart city security Smart infrastructure Smart Health Smart Education Robots process automation (RPA) etc.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1 Documents
 1 
Search results for , issue "Vol. 1 No. 4 (2023): November" : 1 Documents clear
Investment Optimization with Nonlinear Equation Solving Camilla, Aida Dwi; Febiyanti, Shintya Sukma; Rika Aprilia
International Journal of Smart Systems Vol. 1 No. 4 (2023): November
Publisher : Etunas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijss.v1i4.61

Abstract

Investment optimization is one of the important topics in the world of finance that aims to maximize profits with minimal risk. Mathematical approaches, particularly through the solution of nonlinear equations, have become an effective method of aiding investment decision-making. This article discusses the development of an investment optimization model that uses nonlinear equation solving techniques to determine optimal asset allocation. In this study, a nonlinear equation is used to describe the relationship between various investment variables, such as profit level, risk, and asset allocation. Using this approach, investors can find optimal solutions that meet their investment goals, whether in conservative, moderate, or aggressive scenarios. The methodology used involves historical data analysis, mathematical model formulation, and the application of numerical algorithms to solve the nonlinear equations. The results show that the solution of nonlinear equations is able to provide a more precise solution than traditional methods, such as linear programming or simple heuristic. This approach not only improves accuracy in determining the optimal portfolio, but also provides flexibility in dealing with dynamic market conditions. The proposed model allows sensitivity analysis to variable changes, allowing investors to make more informative and adaptive decisions. Investment optimization with the solution of nonlinear equations is a significant innovation in the field of finance, which not only supports investment efficiency but also opens up opportunities for the development of more complex investment models. This article is expected to be a reference for academics and practitioners in applying a mathematical approach for optimal portfolio management.

Page 1 of 1 | Total Record : 1

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 1 No. 4 (2023): November Vol. 1 No. 3 (2023): August Vol. 1 No. 2 (2023): May Vol. 1 No. 1 (2023): February