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Journal of Mathematics UNP

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Published by Universitas Negeri Padang

ISSN : 23551658 EISSN : 28073460 DOI : http://dx.doi.org/10.24036/unpjomath.v7i3.12564

Core Subject : Science, Education,

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

Journal of Mathematics UNP is a journal to publish article from student researches in UNP Mathematics study program, and we also kindly accept other article from outside of our study program related to Mathematics: consists of publication in Algebra, Analysis, Combinatoric, Geometry, Differential Equations, Graph and/or Mixed Mathematics Applications: consists of publication in Application of Differential Equations, Mathematics Modelling, Mathematics Physics, Mathematics Biology, Financial Mathematics, Application of Graph and Combinatorics, Optimal Control, Operation Research, and/ or Mixed Statistics: consists of publication on Development and/ or Application of statistics in various aspects.

Arjuna Subject : Matematika - Matematika (Lain-Lain)

Articles 404 Documents

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Model Matematika Dinamika Penyakit Pneumonia dengan Carriers windi jelita; Defri Ahmad
Journal of Mathematics UNP Vol 7, No 1 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Pneumonia disease is an infIammatory disease of the lungs (alveoli) caused by the bacterium Streptococcus pneumonia. When the body's immune system decreases, Streptococcus pneumonia will multiply and cause damage. Individuals colonized with Streptococcus pneumonia act as reservoirs for disease transmission. In Indonesia this disease is an endemic disease. In this study, a mathematical model is presented to describe the population of pneumonia in infants and toddlers. The purpose of this study was to determine the form of a mathematical model on the spread of disease, to know the results of the analysis and interpretation of the results of the analysis of the mathematical model of the spread of pneumonia with carriers. This research begins by determining the variables, parameters and assumptions related to the problem. The model that has been formed will then be analyzed. From the analysis obtained two fixed points, namely disease-free and endemic. From the results of the analysis, it was also obtained that the rate of individual contact could increase the spread of the spread of infected and infected individuals who were resistant to the body while being able to carry the spread of pneumonia

Optimalisasi Portofolio Saham dengan Simulasi Monte Carlo untuk Pengukuran Value at Risk (VaR) Sarah Hardiana; Muhammad Subhan; Dewi Murni
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Value at Risk (VaR) is the one of statistical measurement tools that measures the maximum expected loss from an investment on the certain confidence level and certain time period on normal market condition. One of the method to determine VaR value is Monte Carlo Simulation Method. The purpose of this paper is forming the optimal portfolio with VaR value. The type of reseaech is applied research using secondary data that is daily closing price stock LQ-45 about 6 months. The steps are determine the parameters, simulating the return value randomly, and calculate VaR value average. Based the result generated the optimal portfolio at the rate of return specified and by the smallest VaR value.Keywords – Portfolio, Value at Risk (VaR), Monte Carlo Simulation, stock

Faktor Yang Mempengaruhi Tingkat Pengembalian Kredit Pada Program Simpan Pinjam Kelompok Perempuan (SPP) Menggunakan Analisis Regresi Logistik Biner Julinda Lestari; Media Rosha
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract–Simpan Pinjam Kelompok Perempuan (SPP) is one of the PNPM-MPd programs that lend capital to women's groups to improve household economy. The research is conducted to determine some factors that significantly influence the level of credit repayment in the SPP program in Padang Sago Subdistrict. We use a primary data obtained from interviews by using questionnaire. The questionnaire consisted of 12 questions were distributed to 50 respondents who made SPP credit payments in September 2019. The analysis method used in this study is binary regression with the rate of credit repayment as dependent variables. The regression parameters are estimated by using MLE technique, the model is constructed by using backward elimination method, and interpreted by using odds ratio. Based on the result we acquire two independent variables that are significantly affect to the rate of credit repayment i.e the loan amount and the short-term credit refund period. Keywords–Simpan Pinjam Kelompok Perempuan (SPP), credit repayment rate, binary logistic regression

Penerapan Pewarnaan Titik pada Graf dalam Penyusunan Lokasi Duduk Menggunakan Algoritma Greedy Berbantuan Microsoft Visual Basic 6.0 Halimah Turosdiah; Armiati Armiati; Meira Parma Dewi
Journal of Mathematics UNP Vol 2, No 1 (2014): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Graph colouring has been applied in various problems. Graph colouring in particular vertex colouring is also applicable for arranging seat location. The arranging of seat location in many events is very concerned. Because it can avoiod rottenness that possibly happen. Vertex colouring for arranging seat location is started with representating participant’s seat as vertex and participant’s seat that adjacent with right or left or front or behind it is connected by edge, so that participant’s seat which adjacent is not placed by participant’s from the same school. Greedy algorithm will be used in this arranging of seat location that applied later in Microsoft Visual Basic 6.0 software. From the testing of program obtained that the program of arranging seat location has made exact solution where participant’s from the same school is not adjacent sit. Keywords – Vertex colouring, Arranging seat location, Greedy algorithm

Faktor-Faktor yang Menentukan Pendapatan Asli Daerah pProvinsi Sumatera Barat Menggunakan Analisis Regresi Data Panell cici amelia; helma helma
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract–Original Local Government Revenue(OLGR) is a component of regional financial resources collected under the laws and regulations in the area. It increased in each Regency / City of West Sumatra Province when 2008 to 2017, but may decreased in certain years. This research discusses about the factors that determine the Original Local Government Revenue(OLGR) of West Sumatra Province. The data used in this research obtained from the publication of the West Sumatra Central Bureau of Statistics (CBS) which supported by each Regency / City in 2008 to 2017. Results of the research that used regression analysis are data panel factor local tax (x2)(x2) and issued by the local government (x4) to be the most determining factor for OLGR in group I. Factors in population (x1), local tax (x2), regional retribution (x3) and local government (x4) are the most determining factors for OLGR in groups II. Local tax factor (x2), regional retribution (x3), local government (x4) and economic growth rate (x5) are the factors that most determine OLGR for group III. Keywords–OLGR, Panel Data Regression Analysis, Fixed Effect Model, Hausman Thest.

Aplikasi Metode Single Index dalam Pembentukan Portofolio Optimal dari Indeks Saham LQ – 45 Muhammad Hafizh Ekaputra; Media Rosha
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract — Investment is the activity of placing a number of funds at the present time with the aim of obtaining future benefits. The problem faced by investors is determining which stocks to choose in order to get maximum profit. Steps taken in order to get maximum profit is to form an optimal portfolio. The purpose of this study is to form an optimal portfolio of stocks incorporated in LQ-45 in the period August 2018 - July 2019 and determine the proportion of funds for each member of the optimal portfolio formed using the single index method. This study uses secondary data obtained from Yahoo Finance and Bank Indonesia. Purposive sampling is the sampling technique used. There are 41 stocks that still survive during the obser. vation period. The results of the analysis obtained from 41 LQ-45 stocks are that there are four stocks that are included in the optimal portfolio, namely; ADHI, EXCL, MNCN and TLKM with each proportion of funds of 4.081944%, 9.9706955%, 3.1884027%, and 82.7589578%.Keywords --- investation, portofolio, single index method

Analisis Portofolio Optimal Menggunakan Metode Multi Objektif pada Saham Jakarta Islamic Index Efriandi Dwi Septyanto; Media Rosha
Journal of Mathematics UNP Vol 4, No 1 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract- Multi-Objective method for portfolio is a portfolio that is aimed to minimize the risks and maximize the expected return at the same time.The multi-objective optimization can be solved with scalarization which is a standard technique to find the optimum points for each optimization vector problems.The purpose of the research is to find out how to build optimal portfolios with optimization method of Multi-Objective and to know the proportion of their respective shares of the selected Jakarta Islamic Index in the optimal portfolio. The steps were taking the data of the stock prices of the companies that have been selected, calculating the expected return and variance-covariance of the return for each stocks, calculating the value of the portfolio of each stocks, and calculating the value of expected return of a portfolio that is formed using the method of Multi objective. The research results obtained optimal portfolios which was measured using coefficient k=10 with the capital sharing that was invested stock to ASII, CPIN,CTRA, EXCL, ICBP, PTBA, SMGR, and TLKM with proportion stock are 18,61%, 29,60%, 0,30%, 0,44% , 28,70%, 6,91%, 7,92%, dan 7,52%. Keywords: Multi Objective Methods, shares of JII, Optimal Portfolio

Rekomendasi Pemilihan Smartphone Menggunakan Metode TOPSIS Deva Eliza; Defri Ahmad
Journal of Mathematics UNP Vol 7, No 1 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Smartphone is one of electronic devices in the form of communication tool which in this time the development following market demand. There are many kind of smartphone in the market with various criteria such as price, storage, ram, front camera, main camera and processor. This matter cause many consumers confuse to choose smartphone they will buy, it because there are various type, specification, and price offered when someone make decisions to purchase smartphone. Many consumers always mistakenly choose smartphone according to their need can't be denied. So that smartphone recommendation election be required. The purpose of this research are to know which criteria would be priority of the best smartphone election and to know recommendation in smartphone election based on alternative and criteria selected. The method which can be used to solve smarphone selection problem is Technic for Order Preference by Similarity to Ideal Solution (TOPSIS). The best smartphone recommendation based on budget range is Oppo A52, midranger is Vivo V20 2021, flagship is Asus Zenfone 6 ZS630KL, premium is Xiaomi Mix Alpha.

Metode Partial Least Square (PLS) untuk Menganalisis Kepuasan Pengunjung Terhadap Pelayanan Kantor Camat Koto Tangah Kota Padang Nadia Liaf Putri; Dewi Murni
Journal of Mathematics UNP Vol 6, No 4 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Partial Least Square (PLS) method is methods used to analyze visitor satisfaction. Analysis of visitor satisfaction is useful for an agency in an effort to improve the quality of services provided. The purpose of this study was to determine the form of the PLS model in analyzing visitor satisfaction with the services of the Koto Tangah sub-district office and to determine the effect of service quality on visitor satisfaction. The variable used is the visitor satisfaction variable is namely tangibles, reliability, responsiveness, assurance, and empathy. The steps of data analysis carried out were designing a structural relationship model, making measurement models, evaluating structural models and testing hypotheses. Based on the analysis that has been done, it shows that the service quality variable has a positive and significant influence on visitor satisfaction. In the PLS method, the structural equation is obtained, Satisfaction = 0.087 Tangibles + 0.103 Reliability + 0.371 Responsivess + 0.052 Assurance + 0.445 Empathy + ε.

Model Matematika SIK Penyebaran Penyakit Kaki Gajah (Filariasis) Wellni Praliska; Arnellis Arnellis; Suherman Suherman
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstrak –The spread of parasitic diseases is a significant threat in the areas of health, social, and economic. One example of the spread of infectious diseases caused by parasites is elephantiasis disease. Elephantiasis disease is an infectious disease caused by filarial worms with the type of Brugaria malayi, Brugaria timori, and Whucereria bancrofti. Elephantiasis disease makes the mosquito as a vector in the spread. To model the spread of the elephantiasis disease (Filariasis), an analysis of the theory that is relevant to the issue is conducted. Furthermore, forming a mathematical model, and then specifying a fixed point and analyse the stability of a fixed point, as well as the interpretation of the results of the analysing of the stability of a fixed point of a mathematical model of the spread of the disease to the elephantiasis disease (Filariasis).Keywords – Mathematics Models, Filariasis, stability theory

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Defri Ahmad

Contact Email
defri_math@fmipa.unp.ac.id

Phone
+6281374333545

Journal Mail Official
defri_math@fmipa.unp.ac.id

Editorial Address
Jl. Prof. dr. Hamka Air Tawar Barat Padang

Location
Kota padang,

Sumatera barat

INDONESIA