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Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
Published by Universitas Negeri Gorontalo
ISSN : 20879393     EISSN : 27763706     DOI : -
Core Subject : Science, Education,
Computer Science & IT Mathematics
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in the research. Euler disseminates new research results in all areas of mathematics and their applications. Besides research articles, the journal also receives survey papers that stimulate research in mathematics and its applications. The scope of the articles published in this journal deal with a broad range of mathematics topics, including: Mathematics Applied Mathematics Statistics and Probability Applied Statistics Mathematics Education Mathematics Learning Computational Mathematics Science and Technology
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Volume 13 Issue 1 April 2025" : 15 Documents clear
Optimal Control for a COVID-19 and Tuberculosis Co-Infection Model with Asymptomatic COVID-19 Carriers Rizka, Sailah Ar; Ayu, Regina Wahyudyah Sonata; Ainurrofiqoh, Dewi Ika; Sari, Merysa Puspita; Kholifia, Nadia
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.31076

Abstract

This study applies optimal control theory to a deterministic co-infection model of COVID-19 and tuberculosis (TB) with asymptomatic COVID-19 carriers, who are assumed to be less infectious. The optimal control strategy aims to minimize intervention costs and reduce infections by implementing five control measures, including prevention and vaccination of COVID-19, treatment of both symptomatic and asymptomatic COVID-19-infected individuals, treatment of COVID-19 and active TB co-infected individuals, and prevention of treatment failure in active TB cases. Pontryagin's minimum principle is used to characterize the necessary conditions for optimal control in reducing infections. Numerical results demonstrate the effectiveness of the optimal control strategy in suppressing diseases. The incremental cost-effectiveness ratio (ICER) for different combinations of control measures is evaluated, showing that the intervention strategy performs best when all control measures are used.
Perbandingan Metode Triple Exponential Smoothing Additive dan Additive Parameter Damped untuk Peramalan Indeks Harga Konsumen Wawo, Rohelio Yoel; Salaki, Deiby Tineke; Komalig, Hanny Andrea Huibert; Hatidja, Djoni; Paendong, Marline Sofiana; Manurung, Tohap
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.30928

Abstract

The purpose of this study is to compare the TES Additive and TES Additive Parameter Damped methods to forecast the Consumer Price Index (CPI) of Manado City. The data used are secondary data in the form of CPI from the Central Statistics Agency of North Sulawesi, covering the period from January 2020 to December 2023. The forecasting accuracy indicators used are Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results of the analysis show that the TES Additive method has better performance in forecasting the CPI of Manado City compared to TES Additive Damped Parameter. This is because the MAPE value in the TES Additive method testing data is smaller, indicating a higher accuracy of the forecasting results. The CPI prediction for 2024 shows a stable upward trend every month. This increase is expected to be driven by economic activity that is starting to recover after the pandemic, increased public consumption, and seasonal inflation approaching religious holidays and the end of the year. The highest CPI value is predicted to reach 117.32 in December 2024.
Systematic Literature Review on the Application of Mathematics, Statistics, and Computer Science in Wildfire Analysis Najib, Mohamad Khoirun; Nurdiati, Sri
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.31000

Abstract

Wildfires pose a significant threat to ecosystems, human settlements, and air quality, making accurate prediction and analysis crucial for disaster mitigation. Traditional statistical methods often struggle with the vast and complex nature of wildfire data, necessitating advanced mathematical, statistical, and computational approaches. This study presents a systematic literature review of wildfire analysis techniques, focusing on trends from 2000 to 2025. By analyzing 6,498 articles using the PRISMA framework, we identify the most widely applied methods, such as correlation, regression, classification, clustering, and artificial neural networks, while highlighting underutilized yet promising techniques such as copula, fuzzy inference, image recognition, quantile mapping, and empirical orthogonal function (EOF). The findings reveal an increasing shift toward interdisciplinary, data-driven approaches, with a significant increase in high-impact publications over the last decade. We emphasize the need for further exploration of advanced methodologies to enhance wildfire prediction models and improve decision-making in fire-prone regions. This review bridges computational innovations with environmental challenges, this study provides a roadmap for future research in wildfire analysis and management.
Pemodelan Bahaya Gempa Bumi Deterministik Berbasis Mikrotremor Berdasarkan Skenario Sesar Opak dan Dengkeng: Studi Kasus Kecamatan Depok, Sleman-Yogyakarta Trisnowati, Yuni Dwi; Maharani, Yohana Noradika; Budi Nugroho, Arif Rianto; Kusumayudha, Sari Bahagiarti; Suharsono, Suharsono
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.31079

Abstract

The Subdistrict of Depok, with the largest population in Sleman Regency, is a region that drives economic, social, and cultural development. This growth further increases the risk of earthquakes, given the presence of the active Opak and Dengkeng Faults. Therefore, an earthquake hazard analysis using the worst-case scenario from the Opak and Dengkeng Faults is necessary for disaster mitigation efforts. This study aims to model deterministic earthquake hazards based on microtremor data using the worst-case scenario from the Opak and Dengkeng Faults. A geophysical approach is employed in this research by applying the Horizontal-to-Vertical Spectral Ratio (HVSR) method based on microtremor measurements. The HVSR method characterizes local site effects that influence ground shaking during an earthquake. The earthquake hazard analysis at the ground surface is conducted using the Deterministic Seismic Hazard Analysis (DSHA) method, considering local site effects based on microtremor measurement data. The DSHA results indicate high Peak Ground Acceleration (PGA) values, primarily due to the influence of the Opak and Dengkeng Faults, which suggest a significant risk of damage. The findings of this study can serve as input for spatial planning and disaster risk reduction management, particularly in Depok District, Sleman Regency, Special Region of Yogyakarta.
Time Series Modeling with Intervention Analysis to Evaluate of COVID-19 Impact on the Stock Markets in Indonesia and Global Dani, Andrea Tri Rian; Putra, Fachrian Bimantoro
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.31081

Abstract

The COVID-19 pandemic began in December 2019 and led to significant disruptions in global financial markets. This study investigates the impact of the pandemic on stock indices in Indonesia (IHSG), the United States (DJI), and South Korea (KOSPI) using intervention analysis with a step function, which is designed to model permanent shifts in time series data following external shocks. Unlike traditional models such as ARIMA that assume data continuity, intervention models, particularly those using step functions, are highly suitable for assessing long-term economic disruptions and structural breaks caused by pandemics. This research uses daily stock price index data from January 10, 2019, to May 8, 2020, obtained from Yahoo Finance. The step function identifies the point of sustained change triggered by the initial COVID-19 outbreak and subsequent market reactions. The analysis shows that the pandemic caused significant and persistent declines across all observed indices. IHSG recorded its sharpest drop on March 26, 2020, while DJI and KOSPI experienced similar downward trends from March to April 2020. The forecasting performance of the intervention model was excellent, with Mean Absolute Percentage Error (MAPE) values of 0.72% for IHSG, 0.87% for DJI, and 0.82% for KOSPI, demonstrating high accuracy in modeling stock market behavior during crisis conditions.

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