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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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Penaksiran Suhu Ruangan Pada Termometer dengan Menggunakan Inverse Regression Hesty Fadilah; Helma Helma
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract— Temperature measurements using a thermometer sometimes produce higher or lower output than that actual value. This research aims to determine the suitability of the thermometer with the conditioned room temperature to find out the predicted temperature value from the thermometer measurement. In this case the room temperature is conditioned according to the need and then the temperature is measured using a thermometer simultaneously. A total of 40 measurement data were then analyzed statistically using the inverse regression method. Based on the results of the study it can be seen that the suitability of the thermometer to the conditioned room temperature ( with a confidence level of 95%. Keywords—Thermometer, Actual Value, Output Value, Inverse Regression.

Model Matematika Jumlah Pemakai Narkoba dengan Program Rehabilitasi Eli Yuliza; Media Rosha; Riry Sriningsih
Journal of Mathematics UNP Vol 2, No 1 (2014): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract–In the number of drug users in Indonesia each year has increased very significantly, so this problem should be addressed immediately.Currently, the government has organized rehabilitation program that is expected to reduce the number of drug users in the future. To predict the number of drug users, can be done by creating a mathematical model of the number of drug users. Mathematical model number of drug users in rehabilitation programs dividing the population into four groups of individuals: the group of susceptible individuals for drug use, drug user groups of individuals, groups of individuals are rehabilitated, and a group of individuals who have stopped using drugs. Mathematical model that formed were analyzed by looking at the stability, the analysis of mathematical models obtained two types of fixed points. In the number of drug users is affected by four parameters: the level of interaction between individuals prone to drug use by individual drug users, the level of individual drug users to be individuals who stop using drugs, and individual level drug offenders to be rehabilitated individuals. Keywords–Drugs, mathematical model, fixed point.

Matriks Peluang Transisi Fuzzy Time Series Markov Chain untuk Peramalan Kurs Riyal dengan Rupiah iin aini fitri; dony permana
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract –Currency rates are one of important indicators in a contry’s ecomony. The value of a country’s currency always fluctuation in value against another country’s currency at any time. Data that used in this research are currency rates data between Riyal and Rupiah. It got from the official website of Bank Indonesia This research goal is to predict the currency rate between Riyal and Rupiah in the future with Markov Chain Fuzzy Time Series method. The result of this research based on kurs data processing in the form of transition opportunities between state are the exchange rate on the first day there is an interval 1, then the probability of the next day the exchange rate is in the interval 1 is 0.8000 and the probability of the next day the exchange rate is in the interval 2 is 0.2000, while being at intervals 3,4,5,6,7,8 is 0, and so onKeywords: Currency Rate, Forecasting, Fuzzy Time Series Markov Chain Method

Analisis Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka di Sumatera Menggunakan Metode Multivariate Adaptive Regression Spline (MARS) Liska Andani; Dewi Murni
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

bstract— Open Unemployment Rate (OUR) is defined as the percentage ratio of the number of open unemployment to the total labor force. In 2018, for 5 provinces in Sumatra, those are the provinces of Riau Islands, Aceh, Riau, North Sumatra and West Sumatra, the OUR value was relatively high and exceeded the OUR value in Indonesia, which was 5.34 percent. This study aims to look at the significant factors that influence OUR in Sumatra in 2018 at the best model obtained with research data in the form of secondary data obtained from the BPS-Statistics and analyzed using the Multivariate Adaptive Regression Spline (MARS) method. The best model obtained is the result of a combination of BF= 28, MI= 2, MO= 4 with the Generalized Cross Validation (GCV) value of 0,09413 as the minimum GCV value and the factors that influence the OUR, those are the independent variables X1, X2, X4, X6, and X7 with R 2 adj of 81.4 percent and factors that did not affect the independent variable were the number of households (X3) and the average expenditure per capita a month for food (X5).Keywords— open unemployment rate, MARS, GCV.

Analisis Portofolio Optimal Menggunakan Model Indeks Tunggal pada Saham Indeks IDX30 Periode Agustus 2017 – Juli 2018 Afdal Afdal; Media Rosha
Journal of Mathematics UNP Vol 4, No 1 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – This article discuss about optimal portofolio formation using single index model. On the optimal portofolio formed will be determined proportion of funds to be invested. This study was conducted on stocks incorporated into the IDX30 index during observation period August 2017 – July 2018. Data in this study are secondary data, obtained from Yahoo Finance and Indonesian Banks. Sample used was 27 stocks using the purposive sampling technique. Result of analysis on 27 IDX30 stocks, obtained 3 stocks that formed the optimal portofolio that is BBCA, ANTM, and PWON with the proportion each of funds is 89,8845921%, 8,9483672%, and 1,1670408%. Keywords: Investation, Optimal Portofolio, Single Indeks ModelAbstrak – Artikel ini membahas pembentukan portofolio optimal saham dengan model indeks tunggal. Pada portofolio optimal yang terbentuk ditentukan proporsi dana untuk diinvestasikan. Penelitian dilakukan pada saham yang tergabung ke dalam IDX30 selama periode pengamatan Agustus 2017 – Juli 2018. Data pada penelitian adalah data sekunder yang diperoleh dari Yahoo Finance dan Bank Indonesia. Sampel penelitian adalah 27 saham, dengan menggunakan teknik purposive sampling. Hasil analisis terhadap 27 saham IDX30, didapat tiga saham yang membentuk portofolio optimal, yaitu: BBCA, ANTM, dan PWON dengan masing – masing proporsi dananya adalah; 89,8845921%, 8,9483672%, dan 1,1670408%. Kata Kunci: Investasi, Portofolio Optimal, Model Indeks Tunggal

Analisis Regresi Linear Berganda Untuk Melihat Faktor Yang Berpengaruh Terhadap Kemiskinan di Provinsi Sumatera Barat Rahmadani Agung Prasetyo; Helma Helma
Journal of Mathematics UNP Vol 7, No 2 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Poverty was one of the sources of problems that indirectly affect development, followed by the problem of unemployment and interrelated inequalities. Changes in the poor population are quite volatile at West Sumatra. This caused by many factors. This study goals to find out the factors that cause significant fluctuations in poverty at West Sumatra. The research was conducted using the concept of applied research which was opened with a literature study followed by data collection. The results of the study in the form of a model of certain things / events that have a significant influence on the poverty level of the research area obtained through multiple linear regression analysis are :y ̂=203399+0,05178x_1-1040x_4+815x_6Thus, the factors that significantly affect the poverty level of the study area are population (x_1), human development index (x_4) and life expectancy (x_6) with an error rate of 5%.ABSTRAK (10 PT)

Model Matematika Penyebaran Penyakit Tungro pada Tanaman Padi dengan Vektor Wereng Hijau Nephotettix virescens Dwi Shinta Kumala Ningsih; Dewi Murni
Journal of Mathematics UNP Vol 6, No 4 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Tungro is a disease of rice plants caused by Rice Tungro Spherical Virus (RTSV) and Rice Tungro Bacilliform Virus (RTBV). The green leafhopper Nephotettix virescens is a vector of this disease. The purpose of this study was to determine the form of a mathematical model of the spread of tungro disease by using predators to control its spread and interpret the results of the analysis. The form of the mathematical model is SEI-SIP. This research is a basic or theoretical research. The results of model analysis obtained two fixed points free of disease and two fixed points endemic to spread of tungro. The stability analysis resulted in R_0 which interpreted that the high rate of disease transmission, vector suction power and the transition rate from exposed to infected would result in an outbreak of disease, low predator mortality and high predation rates would reduce the spread of tungro

Modifikasi Cadangan Premi Prospektif pada Asuransi Jiwa Seumur Hidup Joint Life Menggunakan Metode New Jersey Zulfadri Zulfadri; Arnellis Arnellis; Muhammad Subhan
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Basically the insurance company requires a reserve fund to pay compensation in the event of a claim. Not a few life insurance companies that incur losses beacuse can’t to pay compensation to participants of the insurance. These circumstances can be anticipated if the insurance company has the reserves that have been prepared and it accounted appropriately. One of the methods used to calculate the premium reserve is New Jersey. These method is derived from the formula of prospective reserves. The calculation of the value of reserves method using New Jersey begins by determining the cash value annuity, then calculate the net single premium, and annual net premium , proceed with the counting of net premium advanced and reserves end of the year-t. These method stated that value a reserve premium in the first year is zero, so that insurance companies can use the premium for the need insurance.Keywords – Premium Reserves, New Jersey Method, Prospective, Life Insurance, Joint Life

Penentuan Harga Opsi Jual Amerika dengan Menggunakan Metode Gerak Brown Geometri Yuli Andari Wulan; Dony Permana
Journal of Mathematics UNP Vol 3, No 2 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract– An option is a contract that gives the owner the right to buy or sell a number of instruments that relied upon the contract at a certain price and within the time period specified. There are two types of options that are known, namely call option and put option. Based on execution time, options can be divided into two types, namely the European type options and option types are American. The purpose of this research that is shaping the American Option pricing formula by using the method of geometric Brownian motion. The steps undertaken in this research is studying price movements of stocks, models, and interpret the options pricing models are selling America. Option price is affected by the movement of the stock price, strike price, volatility, the average rate of return (return) stock price, risk-free interest rate, and time to maturity..

Peramalan Jumlah Produksi Daging Sapi Provinsi Sumatera Barat Menggunakan Metode Pemulusan Eksponensial Ganda Tipe Holt Septri Novita; Arnellis Arnellis
Journal of Mathematics UNP Vol 5, No 2 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract — Beef is one of the sources of animal protein that is able to fulfill human nutritional needs. Beef production in West Sumatera Province comes from slaughterhouses, modern or traditional abattoirs. The purpose of this study is make a forecasting model for the amount of beef production in the province of West Sumatera that using the Holt type double exponential smoothing method and predict the amount of beef production based on the model that formed. Data takes from the data of beef production’s amount in the province of West Sumatera from 2005 until 2018 obtained from the Department of Animal Husbandry and Animal Health of West Sumatera’s Province. The method used is the method of Holt Type Double Exponential Smoothing, parameter α and ɣ minimize MSE is 0,9 and 0,1. The result of the forecast beef production in the province of West Sumatera from 2019 until 2023 in a row is 20.644,40 ton, 20.892,66 ton, 21.140,93 ton, 21.389,19 ton, dan 21637,45 ton. Keywords — Forecasting, Double Eksponential Smoothing Type Holt, Beef Production.

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Contact Name
Defri Ahmad

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defri_math@fmipa.unp.ac.id

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+6281374333545

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defri_math@fmipa.unp.ac.id

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

Location
Kota padang,

Sumatera barat

INDONESIA