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Research in the Mathematical and Natural Sciences

rmns
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Published by Cv. Scimadly Publishing

ISSN : - EISSN : 28286804 DOI : https://doi.org/10.55657/rmns

Core Subject : Science, Education,

Computer Science & IT Education Mathematics

Research in the Mathematical and Natural Sciences (RiMaNs) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in their research. RiMaNs disseminate 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, Natural Sciences and its applications. The scope of the articles published in this journal deals with a broad range of mathematics and natural sciences topics, including Mathematics, Applied Mathematics, Statistics and Probability, Applied Statistics, Mathematics Education, Mathematics Learning, Computational Mathematics, Science and Technology, Computer Science, Artificial Intelligence, Optimization.

Arjuna Subject : Matematika - Matematika (Lain-Lain)

Articles 50 Documents

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Analisis Kestabilan Model SITR pada Penyebaran Penyakit Hepatitis A dengan Vaksinasi Sidik, Amelia Tri Rahma; Sari, Lia Nanda; Ismail, Apon
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

In this article, the SITR Model for the spread of Hepatitis A by Vaccination is discussed. This study aims to analyze the stability of the model for the spread of hepatitis A disease around the points, interpret the model that has been formed by performing numerical simulations, and determine the effect of vaccination and treatment on the human population infected with hepatitis A. indicated by (T1) is stable and the endemic fixed point indicated by (T2) is stable. Based on the simulation obtained from each class (S, I, T, R) for R0<1, it shows that the population dynamics is (0.13,0,0,0.87) of the total population. Meanwhile, for R0>1 with a basic reproduction number, it shows the population dynamics of each class (S, I, T, R) that is (0.12,0.0056,0.0053,0.85) of the total population.

Penjadwalan Mata Pelajaran Menggunakan Integer Nonlinear Programming Mile, Abdul Rasyid; Katili, Muhammad Rifai; Nurwan, Nurwan
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Timetabling is one of the problems faced by large numbers of institutions, including schools. In this paper, this timetabling problem is mathematically modeled using Integer Nonlinear Programming to optimize the result with the non-linear objective function or constraint function. The model was implemented to solve the timetabling problem in one of Madrasah Tsanawiyah Islamic junior high school in Gorontalo. The result effective solutions in the form of subject and instructor timetabling that overcome the obstacles are obtained. To better the timetabling, supplementary teachers are still required for some subjects.

Model Integer Linear Programming pada Optimisasi Distribusi Logistik di Daerah Bencana Kasim, Miranti H.; Djakaria, Ismail; Yahya, Lailany
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Logistics distribution in disaster-affected areas includes the delivery of relief goods (food, medicine, and clothing) using three types of vehicles with different carrying capacities for each vehicle. In distributing relief goods, unfulfilled requests can occur in disaster-affected areas. This problem can be modeled in the form of integer linear programming because there is a variable that must be an integer value to minimize unfulfilled demand for all types of relief goods at each point of demand. The branch and bound method can solve this problem's integer linear programming model. The next model is simulated using the LINGO 11.0 programming language. The simulation results show that the system can be considered feasible to use. Thus, the vehicle allocation is also obtained in each period with distribution costs from the point of supply to the point of demand. This distribution process lasts for four periods by showing a change in the number of unfulfilled requests. In the last period, there was no more unfulfilled demand for aid to obtain optimal results.

Model Matematika SEIPRS Penyebaran Penyakit Pneumonia dengan Pengaruh Vaksinasi dan Pengobatan Beta, Muhammad Afrizal; Mokoginta, Karmila; Nadiyyah, Ana
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Pneumonia is an infection or acute inflammation located in the lung tissue and is caused by several microorganisms, such as bacteria, viruses, parasites, fungi and even exposure to chemicals or physical damage. In this article, we discuss the SEIPRS mathematical model on the spread of pneumonia. The SEIPRS mathematical model is formed from five interacting populations, namely the Susceptible population is healthy individuals but susceptible to pneumonia which is denoted by S, the Exposed population is latent individuals or exposed to pneumonia which is denoted by E, the Infected population is individuals infected with pneumonia which is denoted by I, and the treatment population is infected individuals who are given treatment denoted by P, and the recovered population is the recovered population denoted by R. In this article, the search for equilibrium points in the SEIPRS mathematical model and stability analysis is carried out. The analysis in this model produces two equilibrium points, namely the equilibrium point without disease at the condition R0<1, the endemic equilibrium point R0>1, and the basic reproduction number (R0) as the threshold value for the spread of disease. In this study, simulations were carried out with variations in parameter values to see population dynamics. Population results show that increasing rates of vaccination and treatment can reduce the rate of spread of pneumonia.

Deskripsi Hasil Belajar Matematika Siswa di SMP Muhammadiyah Tolangohula Kue, Hawai Abas; Badu, Syamsu Qamar; Resmawan, Resmawan; Zakiyah, Siti
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

This study aims to describe students' mathematics learning outcomes in the even semesters of the 2019/2020 school year. This research was conducted at SMP Muhammadiyah 1 Tolangohula using a descriptive method involving 19 students as research samples. The data obtained from the mathematics learning outcomes of class VII students who took the even semester exam where the test was presented in the form of objective questions and essays involving several indicators: (1) knowledge, (2) understanding, (3) application and (4) analysis. Then described in the form of mean , median (Me), mode (Mo), histogram and percentage. The results showed that students' mathematics learning outcomes in even semesters were in a very low category with the percentage in the very low category as much as 84.21%, as much as 0% in the low category, as much as 10.53% in the medium category, as much as 0% in the high category. and there are as many as 5.26% in the very high category.

Aplikasi Algoritma Floyd-Warshall untuk Mengoptimalkan Distribusi Listrik di PLN Kota Gorontalo Usman, Susanti; Wiranto, Ifan; Nurwan, Nurwan
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

This research deals with the application of the Floyd-Warshall algorithm and Floyd-Warshall plus in the optimization of electricity distribution network routes in Gorontalo City. The route optimization begins by representing the power poles and cable lengths into a graph. The graph used is a weighted graph where the road (related to the length of the cable) is represented as a weighted side and the electric pole is represented as a point. This graph consists of a set of electric poles totalling 40 points and a set of roads (cable lengths) totalling 46 sides. The results showed that the shortest path of the electricity distribution network is and the minimum cable network length is 9,040 m.

Hubungan Antara Gaya Belajar Dengan Kemampuan Kognitif Matematika Pada Materi Lingkaran di SMP Negeri 2 Limboto Une, Dewi Fatmawaty; Hulukati, Evi; Ismail, Yamin; Abdullah, Abdul Wahab; Usman, Kartin
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

This research is survey research using correlation techniques whics aims to determine the correlation between learning styles and cognitive ability on circle material. This research was conducted at grade VIII students of Junior High School SMP Negeri 2 Limboto, Gorontalo regency, 2017/2018 academic year with a sample of 119 students. Data collection techniques were carried out using questionnaires and test. The questionnaire is to obtain learning style data, while the test is to obtain students’ cognitive ability data on circle material. Further, the hypothesis is tested using regression and correlation analysis. Based on the results of data analysis, it is shown that there was a positive correlation between learning styles and cognitive ability on circle material at grade VIII of Junior High School SMP Negeri 2 Limboto, Gorontalo regency. The contribution of learning styles given to students’ cognitive ability on circle material is 9.14%. This value shows the influence given by the learning style of students’ cognitive ability. The result provides information that the lack of selecting and understanding of each student’s learning style influences the level of cognitive abilities, especially on circle material even though the contribution is given is 9.14%.

Penerapan Model Pembelajaran Quantum Teaching untuk Meningkatkan Aktivitas dan Hasil Belajar Matematika Siswa Sekolah Dasar Andrian, Firma
Research in the Mathematical and Natural Sciences Vol. 1 No. 2 (2022): May-October 2022
Publisher : Scimadly Publishing

The purpose of this study was to determine the increase in student activity and learning outcomes in mathematics subjects after applying the Quantum Teaching. The research method used in this research is Classroom Action Research. The data collection technique used is observation to observe student learning activities while to see the increase in learning outcomes using tests. The data analysis technique used is qualitative data analysis and quantitative data analysis. Qualitative data analysis techniques were used to analyze student learning activities during the learning process. While the quantitative data analysis technique was used to analyze the score acquisition of the student learning activity observation sheet and student learning test results by calculating the average acquisition of each cycle. The results showed that the application of the Quantum Teaching provided an increase in student activity and learning outcomes. Learning activity in cycle 1 was 63.99% which then increased in cycle 2 by 79.35%. As for student learning outcomes in cycle 1 and cycle 2 of 100%.

Operasi Cross-Union pada Koleksi Himpunan Koteri Majority Arsal, Armayani; Ningsih, Setia
Research in the Mathematical and Natural Sciences Vol. 1 No. 2 (2022): May-October 2022
Publisher : Scimadly Publishing

Coterie is a collection of sets called quorum which satisfies that any two sets have a non-empty intersection and are not property contained in one another. Based on topology, there are many types of coterie, for example, majority coterie. The majority coterie is a type of coterie with more availability than others to solve the problem of a distributed system. There are two types of majority coterie, dominated and non-dominated. The coterie join algorithm is an easy way to construct a new coterie with sizes larger quorum. In this study, we define a union operation for a majority coterie, called a cross-union operation. Then we prove that by using this algorithm, a new coterie is non-dominated if and only if the initial coteries are non-dominated.

Penerapan Simulasi Monte Carlo untuk Pengukuran Value at Risk (VaR) Ningsih, Setia; Arsal, Armayani
Research in the Mathematical and Natural Sciences Vol. 1 No. 2 (2022): May-October 2022
Publisher : Scimadly Publishing

The purpose of this study was to determine the measurement of value at risk (VaR) in Islamic stocks using the Monte Carlo simulation. The population used in this study are companies whose shares are listed on the Jakarta Islamic Index (JII). For the selection of samples using purposive sampling with the criteria of selecting companies engaged in the mining sector, namely ADRO, ANTM, INCO and PTBA. The results showed that the difference in VaR values in each replication was caused by differences in the results of each simulation carried out, but the results were not different. far from each other because the parameters used in the simulation are the same. Therefore, in order to stabilize the results, the average value of the resulting VaR is taken. Based on the calculation results, the average value obtained is Rp. 1.132.721 at a 95% confidence level in a period of one day.

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Contact Name
Resmawan

Contact Email
resmawan@ung.ac.id

Phone
+6285255230451

Journal Mail Official
editorial.rimans@gmail.com

Editorial Address
Jl. Jenderal Sudirman No. 65, Kota Gorontalo 96115, Gorontalo, Indonesia

Location
Kota gorontalo,

Gorontalo

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Resmawan

Contact Email resmawan@ung.ac.id

Phone +6285255230451

Journal Mail Official editorial.rimans@gmail.com

Editorial Address Jl. Jenderal Sudirman No. 65, Kota Gorontalo 96115, Gorontalo, Indonesia

Location Kota gorontalo, Gorontalo INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Resmawan

Contact Email
resmawan@ung.ac.id

Phone
+6285255230451

Journal Mail Official
editorial.rimans@gmail.com

Editorial Address
Jl. Jenderal Sudirman No. 65, Kota Gorontalo 96115, Gorontalo, Indonesia

Location
Kota gorontalo,

Gorontalo

INDONESIA