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INDONESIA
ARRUS Journal of Mathematics and Applied Science
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767922     EISSN : 28073037     DOI : https://doi.org/10.35877/mathscience.v1i1
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Mathematics Physics
Aim: To drive forward the fields related to Applied Sciences, Mathematics, and Its Education by providing a high-quality evidence base for academicians, researchers, scholars, scientists, managers, policymakers, and students. Scope: The focus is to publish papers that are authentic, original, and plagiarism free and should in interest of society and the world.
Arjuna Subject : Umum - Umum
Articles 2 Documents
 1 
Search results for , issue "Vol. 5 No. 2 (2025)" : 2 Documents clear
The Analysis Of Mathematical Connection Ability In Two-Variabel Linear Equation System Based On Self Regulated Learning Of Students In VIII Grade Of Mts Negeri 1 Kota Makassar Musfira, Nur Fadillah; Arsyad, Nurdin; Rusli, Rusli; Musa, Hastuty; Rahman, Abdul
ARRUS Journal of Mathematics and Applied Science Vol. 5 No. 2 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4088

Abstract

This study aims to analyze students' mathematical connection skills based on self-regulated learning in solving math problems in the Two-Variable Linear Equation System material. This research is qualitative research with a descriptive approach. The subjects in this study were class VIII MTs Negeri 1 Makassar City consists of two students for each level of high, medium, and low self-regulated learning. The research instrument used consisted of the main instrument, namely the researchers, and also the supporting instruments, namely a self-regulated learning questionnaire, a mathematical connection ability test, and an interview guide. The results showed that: (1) subjects who had high self-regulated learning met three indicators of mathematical connection, namely being able to recognize and use ideas in mathematics and understand the interrelationships of these ideas, and being able to recognize and apply mathematics in contexts in other fields of study. And able to relate mathematics in daily life. (2) subjects who have moderate self-regulated learning only meet two indicators of mathematical connections, namely being able to recognize and use ideas in mathematics and understand the interrelationships of these ideas, and being able to recognize and apply mathematics in the context of daily life. (3) Subjects who have low self-regulated learning, namely subjects R1 and R2 were unable to fulfill the three indicators of mathematical connection. Subject R1 was only able to fulfill one indicator of mathematical connection, while subject R2 did not fulfill any indicator of mathematical connection.
Implementation of Support Vector Regression (SVR) and Double Exponential Smoothing (DES) for Forecasting BRI Stock Prices Meliyana, Sitti Masyitah; Aidid, Muhammad Kasim; Rahmadhani, Amaliyah
ARRUS Journal of Mathematics and Applied Science Vol. 5 No. 2 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4282

Abstract

This study aims to forecast the closing stock prices of BRI using Support Vector Regression (SVR) and Double Exponential Smoothing (DES) methods. The data used in this research is secondary data obtained from the Yahoo Finance website, covering the period from January 2020 to November 2023. The analytical steps using the SVR method involve selecting the optimal model by applying Grid Search Optimization to various kernels (linear, polynomial, radial, and sigmoid). The best-performing model was found to be the radial kernel with parameters ε = 0.1, C = 100, and γ = 10, yielding a Mean Absolute Percentage Error (MAPE) of 0.2431%, which was then used for forecasting. For the DES method, the steps involved parameter determination and minimizing the MAPE value, followed by smoothing calculations and forecasting. The optimal parameters obtained were α = 0.89 and β = 0.01, resulting in a MAPE value of 1.4832%. Based on the comparison of MAPE values, it can be concluded that the SVR method with a radial kernel (ε = 0.1, C = 100, γ = 10) provides the most accurate forecasts for BRI closing stock prices, with the lowest MAPE of 0.2431%.

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