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All Journal Jurnal Minfo Polgan (JMP) SISTEMIK : Jurnal Ilmiah Nasional Bidang Ilmu Teknik
Rimba Krisnha Sukma Dewi
Universitas Teknologi Bandung
Computer Science & IT Engineering Library & Information Science Mathematics Social Sciences

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Role of ChatGPT as an Innovative Tool for Data Analysis and Market Trend Prediction in Business Information Systems Muhamad Malik Mutoffar; Sri Kuswayati; Tarsinah Sumarni; Rimba Krisnha Sukma Dewi; Erni Nurjanah
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

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Abstract

The advancement of information and communication technology has fundamentally transformed the business landscape. Businesses are increasingly reliant on data to make effective, market-oriented decisions. Within the context of business information systems, ChatGPT can be utilized as an innovative tool to optimize data analysis processes, provide deeper market insights, and even make predictions about future trends. The aim of this research is to explore and test the potential of ChatGPT as an innovative tool in analyzing data and predicting market trends within the context of business information systems. This research employs a literature review approach with a qualitative methodology and descriptive analysis. Data were obtained from Google Scholar for the period of 2003-2024. The study results indicate that in an era where data has become the most valuable asset for companies, the ability to analyze and understand data effectively is key to success. In this context, the role of ChatGPT as an innovative tool for data analysis and market trend prediction in business information systems becomes highly significant. ChatGPT possesses the capability to comprehend and process human language with a high level of complexity, thus enabling it to harness data in various beneficial ways for companies.
Penerapan Metode Bagi Dua dan Algoritma Spiral Dinamik dalam Penentuan Solusi Sistem Persamaan Non-Linier Diyah Wijayati; Rimba Krisnha Sukma Dewi
SISTEMIK (Jurnal Nasional Ilmu Teknik) Vol 14 No 1 (2026): SISTEMIK : Jurnal Ilmiah Nasional Bidang Ilmu Teknik
Publisher : Universitas Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53580/sistemik.v14i1.202

Abstract

Finding or determining the solution of an equation, either a linear equation or a non-linear equation, is a process of finding or determining the value of an independent variable so that if its value is substituted into the equation, it produces a value of zero. The solution of the equation is called the roots of the equation or zero values. There are three ways or methods to solve the equation, the first is analytic method, the second is numerical method, and the third is using numerical approach method of metaheuristic algorithm. Analytical method is a method of solving mathematical models by applying familiar algebraic formulas, while numerical methods and metaheuristic algorithms are used if the mathematical model used is complex and difficult to solve using analytical methods. Solutions obtained using analytical methods are called true solutions, while solutions from numerical methods and metaheuristic algorithms are approximations or approximate solutions. Although the solution from using numerical methods or metaheuristic algorithms is an approximate solution, we can make this approximate solution as accurate as possible so that the difference or error from the true solution is very small. In this study, the two methods used to solve non-linear equations are the bisection method and the numerical approximation method using the dynamic spiral metaheuristic algorithm. The aim of this research is to find the roots of non-linear equations using two numerical approximation methods. Keywords : Solution; Non-Linear Equation; Numerical Methods.
Co-Authors Diyah Wijayati Erni Nurjanah Mutoffar, Muhamad Malik Sri Kuswayati Tarsinah Sumarni