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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
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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 102 Documents
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Analisis Ketersediaan Air dan Keandalan Kulong ST 12 Kecamatan Sungailiat Kabupaten Bangka sebagai Sumber Air Bersih Menggunakan Geographical Information System Sisilia Jesika Pririzki; Hendy Stevanus; Rohil Agatha Lusia; Adriyansyah Adriyansyah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16006

Abstract

The Bangka Belitung Islands experience population growth which continues to increase every year. This population growth causes several problems, including water scarcity. The solution to this problem is to use water as a raw source to meet the need for clean water. The source of this raw water is by utilizing Kulong water. This study aims to find a solution by getting the location of the raw water source, namely Kulong, which has an effective distance from the location of community settlements. In this study, the mapping will be carried out using a Geographic Information System (GIS). The results of this study are that there is Kulong ST 12 which can be used as a source of raw water, and the best model for predicting water availability from 2022-2030 is the SARIMA (3,0,3) (3,1,0)12 model. The availability of water for Kulong ST 12 in 2030 is 10.03 l/s, with a water demand of 4.581 l/s in Surya Timur Village. For Reliability, Kulong ST 12, using the Standard Operating Rule (SOR), is able to supply 100% of the needs of the East Surya Output with a 100% reliability level.
Koneksi Analisis Riil dan Matematika Sekolah: Identifikasi pada Mahasiswa Calon Guru Matematika Khamida Siti Nur Atiqoh; M Hafiz
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16233

Abstract

There is a significant gap between secondary school mathematics and university mathematics courses. This study aims to identify how mathematics education students understand the connection between topics in Real Analysis and school mathematics content. The research method used in this study is a qualitative descriptive method with the research subjects being students who are pre-service mathematics teachers who are taking the Real Analysis course. Data analysis was carried out in 3 stages, namely: data condensation (data reduction), data presentation, and drawing conclusions. Concept-by-concept connections between Real Analysis topics and mathematics in secondary schools are categorized based on Suominen's categorization of mathematical connections. The research findings reveal that pre-service teachers have limitations in identifying the connections between Real Analysis and school mathematics topics. The connections that students identified were limited to general ideas. It is necessary to prepare a structured learning method in the Real Analysis course that can facilitate the gap between university mathematics and school mathematics.
Perbandingan Metode k-Nearest Neighbor, Regresi Logistik Biner, dan Pohon Klasifikasi pada Analisis Kelayakan Pemberian Kredit Shantika Martha; Wirda Andani; Setyo Wira Rizki
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16751

Abstract

Kredit Tanpa Anggunan (KTA) are bank loans given to debtors without asking for guarantees. Some debtors who have made KTA but still need additional loan funds can top up. However, offering this facility to the public cannot be separated from the risk that the debtor and/or other parties fail to fulfill their obligations to the bank. In an effort to assess the feasibility of prospective debtors, banks need decision-making tools so that they can easily and quickly estimate which debtors are able to pay off credit on time (good credit). The tool that is often used is classification. In this study, we will compare 3 classification methods, namely k-nearest neighbor, binary logistic regression, and classification tree, to obtain the best method for analyzing the feasibility of giving KTA top-up. Based on the accuracy value in each method, the classification tree produces the highest accuracy value compared to the other two methods. Thus, for this study, the classification tree is the best method, with an accuracy value of 87.68%. The variables used in the classification tree are DBR, length of service of a debtor, credit limit, type of debtor's occupation, the total income of the debtor, the area where the debtor lives, and the credit period of the debtor is 1 month.
Penerapan Algoritma Welch-Powell Pada Penyusunan Jadwal Perkuliahan di Program Studi Pendidikan Matematika Ririn Mufidatur Rohmawati; M. Ivan Ariful Fathoni; Ismanto Ismanto
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16649

Abstract

Graph theory can be applied in course scheduling. The problem discussed in this study is scheduling courses in the UNUGIRI Mathematics Education Study Program using graph coloring. The purpose of this study is to prevent the occurrence of overlap (cross-over) in the preparation of courses. Good scheduling is a schedule that can be carried out by all related parties in teaching and learning activities. The algorithm used in this study is the Welch-Powell algorithm. The research was conducted using an axiomatic deductive method by deriving existing axioms or theorems, then applied to vertex coloring on the graph representation of the lecture scheduling of the UNUGIRI mathematics education study program. The readiness matrix to teach odd-semester courses is obtained based on the Welch-Powell algorithm. 2022/2023 with six different colors. The six colors represent the scheduling of 26 UNUGIRI Mathematics Education Study Program courses into six days without any cross-over.
Pengaruh Penggunaan Multimedia Interaktif Terhadap Kemampuan Penalaran Matematis Peserta Didik Pada Materi Prisma Khaerani Khaerani; Sumarno Ismail; Franky Alfrits Oroh
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16341

Abstract

This study aims to examine the effect of interactive multimedia on students' mathematical reasoning abilities on prismatic material. This research is a quasi-experimental study with a post-test-only control group design. Students in one of the junior high schools in Gorontalo were the samples in this study, where class VIII-2 was the experimental class, and class VIII-1 was the control class. The experimental class was a class that was given learning treatment using interactive multimedia, and the control class was a class that was given learning treatment using PowerPoint. Data on students' mathematical reasoning abilities were collected by giving tests of mathematical reasoning abilities using questions in the form of descriptions. The data collected was then analyzed descriptively and inferentially. The results of the descriptive analysis obtained are the average mathematical reasoning ability of students in the experimental class is higher than the control class. These results are supported by the inferential analysis, which reveals that interactive multimedia has more effect on students' mathematical reasoning abilities than PowerPoint.
Pengaruh Model Pembelajaran Quantum Teaching Terhadap Hasil Belajar Siswa Pada Materi Operasi Himpunan Rosiana Jupri; Perry Zakaria; Majid Majid; Resmawan Resmawan; Dewi Rahmawaty Isa
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16940

Abstract

This study aims to determine the effect of the Quantum Teaching learning model on student learning outcomes. This research was conducted at a junior high school in Bone Bolango. The research model is an experimental research that uses a posttest control group design consisting of 2 samples, namely, the experimental class and the control class. The sample was selected by a simple random sampling technique involving 24 students for the experimental class and 23 students for the control class. The results showed differences in student learning outcomes taught by the Quantum teaching-learning model and the direct learning model on set operations material. This is indicated by the average value of student learning outcomes in the set operation material of the experimental class is higher than the control class.
Analisis Regresi Robust Estimasi Least Trimmed Square dan Estimasi Maximum Likelihood pada Pemodelan IPM di Pulau Sulawesi Ingka Rizkyani Akolo; Asriyati Nadjamuddin
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 2 December 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i2.16708

Abstract

Sulawesi Island is one of the islands in Indonesia with the second lowest HDI after Papua in 2011-2018, so it is necessary to study more deeply the factors that affect the HDI on Sulawesi Island. One of the methods in modeling is the robust regression method that can be used even though there are outliers in the data. This study aimed to determine the factors that affect HDI in Sulawesi Island using a robust regression model of Least Trimmed Square (LTS) estimation and Maximum Likelihood (M) estimation and to find out the best method for modeling HDI in Sulawesi Island. The robust regression of the LTS estimate has a reasonably high breakdown point value compared to other estimates, while the M-estimate has a high efficiency. The results showed that the factors that affect HDI on the island of Sulawesi are Life Expectancy (UHH), Expected Years of Schooling (HLS), Average Years of Schooling (RLS), and Real Expenditures per capita (PPP). The best model in HDI modeling in Sulawesi Island is a robust regression model with LTS estimation where the standard error is 0.1513, and the R-Square is 99.78%. A very high R-Square value indicates that the ability of the UHH, HLS, RLS, and PPP variables to explain HDI is very good.
Implementasi Long Short Term Memory (LSTM) dan Bidirectional Long Short Term Memory (BiLSTM) Dalam Prediksi Harga Saham Syariah Dian Islamiaty Puteri
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.v11i1.19791

Abstract

The development of the stock market in Indonesia is currently growing quite rapidly. This can be seen based on the number of investors who have increased every year. In 2011, sharia stocks were launched for the first time in Indonesia, and it can be seen that the price of the stock is not always stable or can experience increases or decreases. For investors, a strategy is needed to predict stock prices in order to make the right decisions in investing. In this study, stock prediction was carried out using the Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM) methods. The data used in this study is historical closing price data for three Sharia stocks, namely PT Aneka Tambang Tbk, PT Unilever Indonesia Tbk, and PT Indofood Sukses Makmur Tbk. In building the best predictive model in this study based on tuning parameters such as epoch, batch, neurons, as well as an optimizer and dropout regulation techniques to prevent overfitting of the model. The test results show that from the three stock data used, the smallest MAPE value is obtained in the BiLSTM model. The MAPE values obtained for each stock data in this study are sequentially 2,59%, 1,77%, and 1,05%. Based on the MAPE value criteria, the prediction model is included in the very accurate criteria.
Implementasi Struktur Aljabar Besar Pada Reaksi Kimia: Reduksi – Oksidasi Fakhry Asad Agusfrianto; Yudi Mahatma
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.v11i1.19021

Abstract

Algebraic Hyperstructures is a generalization of the concept of algebraic structure. One of the concepts on algebraic hyperstructures is hypergroups. The concept of hypergroups can be generalized into hypergroupoids, hypersemigroups and -groups.  Hypergroups and their generalization have applications in science fields such as chemistry, biology, and physics. The focus of discussion in this paper is the application of hypergroups and their generalization in the field of chemistry. In basic chemistry, we know chemical reactions called reduction and oxidation (redox) reactions. The purpose of this paper is to analyze the algebraic hyperstructures contained in redox reactions.
Proses Analogi Siswa Sekolah Dasar dalam Mengajukan Masalah Luas Daerah Firdatus Nurlaila; Mohammad Faizal Amir
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.v11i1.20046

Abstract

This study analyzes the analogy process when elementary school students in pose area problems. This research used a qualitative method with a case study approach. The participants in this study were fifth-grade students of SD Negeri 1 Krembung, totaling 53 students. The selection of participants was made purposively. Data were collected using tests, interviews, and observations. Data analysis techniques used data reduction, data presentation, and conclusion drawing. Indicators of analogy process assessment based on Gentner Forbus's theory are retrieval, mapping, abstraction, representation, and evaluation. The results of this study indicate that elementary school students can use analogies in the learning process, but in the analogy process, there are differences between some students. The problems proposed by students are categorized as varied problems and complete processes, varied and incomplete processes, not varied and incomplete processes. In this study, it is suggested that novice elementary school students posing problems should use analogies as a reasoning process so that in posing new problems, they can come up with creative ideas.

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