cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Resmawan
Contact Email
resmawan@ung.ac.id
Phone
+6285255230451
Journal Mail Official
euler@ung.ac.id
Editorial Address
Department of Mathematics, 3rd Floor Faculty of Mathematics and Natural Sciences, Universitas Negeri Gorontalo Jl. Prof. Dr. Ing. B. J. Habibie, Tilongkabila, Kabupaten Bone Bolango 96119, Gorontalo, Indonesia
Location
Kota gorontalo,
Gorontalo
INDONESIA
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 188 Documents
 13   14   15   16   17 
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.
Forecasting Zakat Potential in BAZNAZ East Java Using the ARIMAX Method with Calendar Variation Effects Sari, Lia Puspita; Hamid, Abdulloh; Khaulasari, Hani
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31456

Abstract

Zakat is a Muslim act of worship that is related to wealth and is one of the instruments used in economic development so that it can solve the problem of poverty. According to the Central Statistics AgencyZakat is an Islamic obligation related to wealth distribution and functions as a key instrument in economic development, particularly in alleviating poverty. According to the Central Statistics Agency, East Java had the highest number of poor people in Indonesia in 2023. BAZNAS (Badan Amil Zakat Nasional) plays a strategic role in managing zakat funds to support poverty reduction efforts. Accurate information on zakat potential is crucial for ensuring the effective management and distribution of zakat. This study aims to model, evaluate the accuracy, and forecast the zakat potential at BAZNAS East Java untuk Januari sampai dengan Desember 2024 using the Autoregressive Integrated Moving Average with Exogenous (ARIMAX) Variables method. ARIMAX extends the ARIMA model by incorporating exogenous variables. In this study, the exogenous variables used are a deterministic trend and a Hijri calendar dummy variable representing the month of Ramadan, The results show that the best-performing model is ARIMAX([12],1,1), with a MAPE value of 18%, indicating a reasonably accurate forecast. The zakat potential for the next 12 months is projected to remain relatively stable, with a significant increase of IDR 6,674,988,827.25 expected in April 2024. This spike coincides with the month of Ramadan, when Muslims customarily pay zakat fitrah and zakat mal.
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.
Analisis Kemampuan Berpikir Kritis dan Penalaran pada Soal Open Ended: Dampak Model Problem Based Learning dan Model Discovery Learning Mujahidah, Mujahidah; Nursalam, Nursalam; Suharti, Suharti; Majid, Ahmad Farham; Angriani, Andi Dian
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31332

Abstract

Critical thinking and reasoning skills are essential cognitive aspects that must be developed in mathematics education to address the demands of the 21st century. This study aimed to analyze the differences in students’ critical thinking and reasoning abilities in solving open-ended problems through the implementation of Problem-Based Learning and Discovery Learning models. A quantitative approach was used, employing an experimental method with a factorial design. The sample consisted of two groups of students, each receiving a different treatment, with a total of 58 participants. The research instrument was a set of open-ended essay questions. Data were analyzed using univariate t-tests and multivariate mean difference tests. The findings indicated no significant difference in critical thinking skills between students taught with the two learning models. However, a significant difference was found in reasoning ability, as well as a simultaneous difference in both critical thinking and reasoning between the groups.
Penerapan Regresi Conway Maxwell Poisson untuk Mengatasi Overdispersi pada Jumlah Kematian Bayi di Provinsi Jawa Barat Santi, Vera Maya; Kamil, Adine Ihsan; Ladayya, Faroh
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31356

Abstract

Infant Mortality Rate (IMR) is a key public health indicator reflecting the social, economic, environmental, and healthcare service quality conditions of a population. In 2023, West Java recorded the highest number of infant deaths in Indonesia. These data are count-type in nature and are commonly analyzed using Poisson regression. However, due to the frequent occurrence of overdispersion, the Poisson method becomes less appropriate. As an alternative, the Conway-Maxwell Poisson (CMP) regression is employed, offering greater flexibility in handling violations of the equidispersion assumption. This study aims to apply CMP regression to address overdispersion in the number of infant deaths in West Java Province using the Maximum Likelihood (ML) estimation method. The data used in this study comprise the total number of infant deaths in 2023 across 27 districts and cities in West Java Province. The ML parameter estimation analysis shows that the dispersion parameter values obtained from the CMP and Poisson models are 10.92 and 126.49, respectively. In terms of model evaluation criteria, the CMP model yields an AIC of 402.455 and BIC of 415.41, whereas the Poisson model shows an AIC of 4183.46 and BIC of 4195.12. These results indicate that the CMP model outperforms the Poisson model in handling infant mortality data. Furthermore, four variables are found to be statistically significant in explaining the number of infant deaths in West Java Province, namely the percentage of antenatal care coverage (K4), the number of health facilities by district/city, the percentage of households with clean and healthy living behavior (PHBS), and the percentage of neonatal asphyxia complications, with a significance level of alpha = 5%.
(σ,τ)-derivasi pada Ring Grup Waluyo, Ridho; Faisol, Ahmad; Fitriani, Fitriani
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31564

Abstract

Derivations play a fundamental role in ring theory and have been extensively studied and generalized, including to (σ, τ)-derivations, which involve endomorphisms σ and τ. While many studies have focused on (σ, τ)-derivations in prime, semiprime, or commutative rings, explicit constructions and investigations of such derivations in group rings remain limited. This paper constructs several concrete examples of (σ, τ)-derivations on group rings and explores their algebraic properties. The approach provides systematic illustrations and characterizations of derivations in noncommutative ring structures based on groups, thereby contributing to the development of derivation theory in group ring contexts.
Analisis Regresi Logistik Biner dan Random Forest untuk Prediksi Faktor-Faktor Stunting di Pulau Jawa Yuniarsyih R.A, Rizqi Dwi; Muhadi, Rizqi Annafi; Fitrianto, Anwar; Silvianti, Pika
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31680

Abstract

This study aimed to compare the performance and variable identification capabilities of Binary Logistic Regression and Random Forest models in classification analysis. The results showed that both methods consistently identified variables X1, X3, and X4 as the most influential factors in predicting outcomes. However, Binary Logistic Regression also identified variable X6 as statistically significant, which was not reflected in the Random Forest model. In terms of model performance, Random Forest outperformed Binary Logistic Regression across all evaluation metrics, including accuracy, precision, sensitivity, specificity, and balanced accuracy. These findings suggested that Random Forest was more effective in handling complex data structures and delivering optimal classification results, while Binary Logistic Regression excelled in providing deeper interpretability of variable relationships. Therefore, the choice of method should have aligned with the analytical objectives, and combining both approaches could have yielded more comprehensive insights.
Mathematical Modeling of Cholera Transmission Capturing Vaccine Effect and Age Structure Using Homotopy Perturbation Method Kolawole, Mutairu K.; Adebayo, Segun R.
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31580

Abstract

This research presents a detailed mathematical model for cholera transmission, incorporating age structure and vaccine effects. The model is analysed using mathematical methods to examine the disease-free and endemic equilibria, positivity, existence, uniqueness, and well-posedness of the epidemic model. The basic reproduction number is calculated, helping to assess cholera's transmission potential and the effectiveness of interventions. Local stability analyses around the disease-free and endemic equilibria provide insights into the system's behavior under different conditions, while global stability analyses determine the long-term behavior of the epidemic. Sensitivity analysis, conducted using the homotopy perturbation method, evaluates how variations in model parameters affect disease dynamics. By integrating age structure and vaccination into the model, the study explores how demographic factors influence cholera control strategies. The model's uniqueness is mathematically proven, ensuring the reliability of the results. Overall, this research advances the understanding of cholera dynamics, offering insights for designing sustainable and effective public health interventions to control the disease by health practitioners.

Page 15 of 19 | Total Record : 188

 13   14   15   16   17 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Volume 13 Issue 3 December 2025 Volume 13 Issue 2 August 2025 Volume 13 Issue 1 April 2025 Volume 12 Issue 2 December 2024 EULER: Volume 12 Issue 1 June 2024 EULER: Volume 11 Issue 2 December 2023 EULER: Volume 11 Issue 1 June 2023 EULER: Volume 10 Issue 2 December 2022 EULER: Volume 10 Issue 1 June 2022 EULER: Volume 9 Issue 2 December 2021 EULER: Volume 9 Issue 1 June 2021 EULER: Volume 8 Issue 2 December 2020 EULER: Volume 8 Issue 1 June 2020 EULER: Volume 7 Issue 2 December 2019 EULER: Volume 7 Issue 1 June 2019 More Issue