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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 17 Documents
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Search results for , issue "EULER: Volume 11 Issue 1 June 2023" : 17 Documents clear
Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary Kurniasari Abram; Novianita Achmad; Muhammad Rezky Friesta Payu; Nurwan Nurwan; Djihad Wungguli; Asriadi Asriadi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.17364

Abstract

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.
Simulasi Harga Opsi Call Asia Dengan Suku Bunga Tidak Konstan Isti Kamila; Ani Andriyati
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.20061

Abstract

In the financial world, the thing that is interesting for investors today is to predict a reasonable Asian Call Option price that does not cause the seller or buyer of the option to experience losses. The constant interest assumption is more often used by previous research as an assumption in predicting the price of Asian Call Options. This is not in line with the fact that interest rate movements are not constant. The use of incorrect assumptions will affect the accuracy of prediction results. In overcoming this problem, this study aims to predict the price of Asian Call Options with non-constant interest rates using Monte Carlo simulation. The non-constant interest rate model used is Cox-Ingersoll-Ross (CIR) because this model produces positive interest rates. This study begins with a screening of Normally distributed interest rate data. The data is used to determine the parameters of the CIR interest rate model. Next, an Asian Call Option price simulation with non-constant interest rates was carried out and ended by analyzing a graph of the Asian Call Option price simulation results with non-constant interest rates.  The simulated price result of the Asian Call Option with non-constant interest rates converged at the value of $170.82. Based on the price chart of Asian Call Options with different strike prices, the larger the strike price causes, the larger the Asian Call Option price, which corresponds to the price characteristics of the Asian Call Option. In addition, by extending the maturity period, the price of Asian Call Options with non-constant interest rates is greater according to the price characteristics of Asian Call Options. 
Model for Coupling Scheme and its Impact on Neurons Behaviour Afifurrahman Afifurrahman
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.19964

Abstract

Collective oscillations is typical phenomena observed in the systems biology including neurons. Investigating the mechanisms for which it occurs in neural networks evokes a significant interest among neuroscientists. From mathematical point of view, the coupling schemes rule the neuron’s behaviours ranging from microscopic to macroscopic scales. This paper aims to study the impacts of coupling schemes in a minimal network of two fully coupled identical oscillators (e.g., neurons). We proceed with the research by employing the numerical approach and time-series analysis. We consider both Kuramoto-like oscillator and Leaky integrate-and-fire neuron as the objects of study. In the former case, we found the phase of two oscillators are perfectly locked and stable if their frequency are identical, as stated by the main theorem. In the latter case, the membrane potentials of two neurons are perfectly synchronized, characterized by the same firing rate, due to the effect of excitatory delta pulses.
Uji Performa Prediksi Gempa Bumi di Jawa Timur dengan Artificial Neural Network Muhammad Aji Permana; M Faisal
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.19291

Abstract

East Java Province is an area directly adjacent to the Eurasian and Indo-Australian plate subduction zones, this has resulted in East Java province being an area prone to earthquakes. Predictions regarding the frequency of earthquake occurrences are very interesting to study. This needs to be done in order to increase our preparedness in an effort to reduce the risk of earthquakes. Research on earthquake prediction has been carried out, one of which is the artificial neural network method. The purpose of this study is to obtain the best network architecture that is applied to the data on the frequency of earthquake occurrences per month in East Java Province. Data on earthquake occurrences come from the BMKG Nganjuk Geophysics Station, which was recorded during the 2016-2021 period. The data was then grouped into the total frequency of events per month. The criteria for selecting the best network architecture are carried out by comparing each possible architecture's error values. The test method uses SSE (sum square error) criteria for each architectural model of the artificial neural network. The test results show that the input variation has a significant contribution and a greater correlation than the variation in the number of hidden neurons. The best prediction results are obtained in the model with 9-30-1 architecture with an error value of 0.1958.
Analisis Kausalitas Antara Pendidikan, Kemiskinan, dan PDRB Menggunakan Panel Vector Autoregression Sisilia Jesika Pririzki; Ineu Sulitiana; Adriyansyah Adriyansyah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.19504

Abstract

The condition of education in the Bangka Belitung Islands Province is still far from basic education, with the Average Years of Schooling (RLS) of 7.84 years. Apart from the education side, the number of existing poverty also tends to fluctuate every year. It is the same with the economic picture based on GRDP values which experience inequality between Regencies and Cities in the Bangka Belitung Islands Province. The purpose of this study is to determine the causal relationship between education, poverty, and GRDP. The approach method used is to use the Panel Vector Autoregression (PVAR) method by conducting a Granger causality test. The results of this study are that there is no causality relationship, but has a one-way relationship between poverty and education which has a probability value smaller than α of 5%, namely 0.0246. There is no causal relationship between education and GRDP with probability values of 0.1020 and 0.4706. There is a causal relationship between poverty and GRDP with a probability value for each variable 2x10^-9 and 8x10^-9.
Analisis Dinamik pada Model Matematika SVEIBR dengan Kontrol Optimal Untuk Pengendalian Penyebaran Penyakit Kolera Agusyarif Rezka Nuha; Resmawan Resmawan; Sri Lestari Mahmud; Asriadi Asriadi; Andi Agung; Sri Istiyarti Uswatun Chasanah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.20611

Abstract

Cholera is an infectious disease that attacks the human digestive system and can cause death. This article discusses the research results related to the mathematical model of the spread of cholera in the form of an optimal control system by combining three control strategies: vaccination, quarantine, and environmental sanitation. Pontryagin's maximum principle is applied to obtain optimal conditions based on the control strategy applied. Referring to the optimal conditions set, the model was solved numerically using the Runge-Kutta Order 4 method to describe the theoretical results. The calculation results show that applying the three control strategies in controlling the spread of cholera positively impacts reducing the number of cases of infection so that disease transmission can be discontinued.
Pengembangan E-Modul Berbasis Flip PDF dan Canva pada Materi Transformasi Geometri Muhammad Al Falah Kurniawan; Tri Nova Hasti Yunianta; Kriswandani Kriswandani
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.20222

Abstract

E-module is an electronic version of the module that can be used as a learning tool that contains material, methods, constraints, and ways of evaluating that are designed systematically and attractively to achieve the expected competencies. The aim of this research is develop a valid, practical, and effective e-module based on Flip PDF and Canva on the geometry transformation material. This research is an R D research using the ADDIE (Analyze, Design, Development, Implementation, and Evaluation) model. The subjects of this study were 30 students of class IX SMP Negeri 9 Salatiga. Data collection techniques are observation, questionnaires, and tests. Data analysis used descriptive qualitative and quantitative analysis, Paired t-test, and N-Gain Score. The result of this research includes 1) the validation results of the e-module based on Flip PDF and Canva obtained the results of this e-module as valid as shown by the validation score of 86.155 with 90.35% and included in the "very good" category; 2) the significant of the paired t-test is 0.000 0.05 which means that there was a significant difference between the pretest score (pretest scores is 29,6667) and the posttest score (posttest score is 70,6667); and 3) the N-Gain Score test is 58,8527 (58,9%) with the criteria “effective enough.” Based on these results, it can be concluded that e-module using Flip PDF and Canva for junior high school students are effectively used as means of supporting learning materials.

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