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Journal of Mathematics UNP
Core Subject : Science, Education,
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.
Articles 404 Documents
Model Matematika Penyebaran Online Compulsive Buying Disorder Lovira Puspita; Arnellis Arnellis
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14338

Abstract

ABSTRACT Online compulsive buying disorder is a disorder of impulse control when shopping online, so that a person becomes uncontrollable when shopping online and is done repeatedly with a large number of purchases and not so useful. The purpose of this study is to analyze the mathematical model of the spread of online compulsive buying disorder. The method used is the descriptive method. Based on the analysis of the mathematical model of the spread of online compulsive buying disorder, one equilibrium point was obtained, where all eigenvalues of the Jacobi matrix were negative, so that the equilibrium point of the mathematical model of the spread of online compulsive buying disorder was stable asymptotic. This suggests that the spread of online compulsive buying behavior will go towards the equilibrium point over time.     
Penggunaan Semivariogram pada Metode Ordinary Kriging untuk Mengestimasi Curah Hujan di Kabupaten Kuantan Singingi Esil Metra; Dewi Murni
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14724

Abstract

In a measurement of  rainfall data, not all points are gauges because of a limitation. So the Meteorology, Climatology and Geophysics Agency (BMKG) only builds rain gauge posts in areas considered to have potential and can represent the surrounding area. Given these limitations, a method is needed to estimate rainfall data outside the observation post area, namely a geostatistical method called ordinary kriging. Ordinary Kriging is a method for estimating a non-sampled value based on the sampled values around it. By using an experimental semivariogram model compared to several theoretical semivariograms (Exponential, Gaussian, and Spherical) and selecting one of the best semivariogram models to estimate the value to be searched, so that optimal estimation results are obtained. In this study, estimated rainfall in Kuantan Singingi Regency in February 2023 where the results obtained are the average rainfall in each sub-district, which is 220.3827 mm, while the estimated rainfall in each village is 217.180. So that Kuantan Singingi Regency is an area with moderate rainfall.
Optimasi Rata-rata Produksi Jagung di Kabupaten Limapuluh Kota Menggunakan Pemrograman Kuadratik Metode Wolfe Sari Fitri; Helma Helma
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14216

Abstract

This research was an experimented research that purpose to form a mathematical model for optimizing average corn production in Fifty Cities District with the constraint that the harvested area should not be more than the planted area and solve the model with the Wolfe quadratic programming method. The model of mathematical in the research was a model by formed nonlinear using the method of least squares. Then use the Wolfe method to form a new linear objective function and constraints in the form of Karush Kuhn-Tucker conditions. The results showed that the optimal average corn production in Fifty Cities District was 49.00456 tons/Ha with an optimal corn harvest area of 656.256 Ha.
Kajian Analisis Faktor pada Faktor yang Mempengaruhi Produksi Padi di Nagari Cupak Kabupaten Solok Rohadatul Aisy; Devni Prima Sari
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14213

Abstract

Solok district is the largest rice producing center in West Sumatra, known as "Bareh Solok", with most of the population working as farmers. Increased production is influenced by factors such as land area, labor, seeds, fertilizers, capital, pesticides, and irrigation. These seven factors are interconnected and related to each other, so the purpose of this study was to determine the factors that influence rice production in Nagari Cupak, Gunung Talang District, Solok Regency. The type of research used is applied research. This study has a sample of 89 respondents. Furthermore, in the analysis using factor analysis method. The results of this study indicate that the first factor consists of land area, labor, seeds and pesticides. The second factor consists of fertilizer, capital and pesticide variables
MODEL DEPENDENSI HARGA-HARGA KOMODITAS EKSPOR UNGGULAN INDONESIA MENGGUNAKAN PENDEKATAN COPULA Riri Sesiati; Jose Rizal; Yulian Fauzi
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14860

Abstract

  The export of non-oil and gas leading commodities (palm oil, rubber and cocoa) contributes the largest state revenue. Copula is used to model the dependency between two variables that have different marginal distributions. The data to be used is secondary data from the Commodity Futures Trading Supervisory Agency (BAPPEBTI) starting from January 1, 2018 - February 28, 2020 for the period before the Covid-19 pandemic and March 1, 2020 - November 26, 2021 for the period after the Covid-19 pandemic. The dependency of the two variables to be measured is the price of palm oil, rubber and cocoa before and after the start of the Covid-19 pandemic in Indonesia. The Copula that will be used are Joe, Gumbel, Frank, Gaussian, Clayton, and Student's t. The best Copula model obtained for palm oil and rubber dependencies is the Joe Copula, while palm oil and cocoa and cocoa rubber dependencies are the Clayton Copula.  
Model Matematika Penyebaran Penyakit Infeksi Saluran Pernapasan Akut (ISPA) Berdasarkan Lokasi Anatomi Akibat Bakteri Streptococcus Pneumoniae Diana Leris; Media Rosha
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14330

Abstract

Streptococcus pneumoniae is a bacterium that attacks the human respiratory tract. Streptococcus pneumoniae bacteria cause respiratory diseases in the form of pneumonia, otitis media, sinusitis, sepsis, peritonitis, and abscesses. The purpose of this study was to establish, analyze, and interpret the mathematical model of the spread of Acute Respiratory Infections (ARI) based on the anatomical location of the Streptococcus pneumoniae bacteria. In the mathematical population formation model, the human population is divided into six population groups: susceptible, exposes, sinusitis infections, otitis media infections, pneumonia infections, and recovered.  An analysis of the stability of the system around the equilibrium point produces two points, namely, disease-free points, which will be asymptotically stable if βπ<μ(μ+ε+ρ). While the endemic point of the desease will be asymptotically stable if βπ-μ(μ+ε+ρ>0.
Aplikasi Machine Learning Untuk Forecasting Nilai Overall Equipment Effectiveness Pada Industri Manufaktur Aufatus Syakira Mardhatillah; Dina Agustina
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14283

Abstract

Manufacturing productivity is determined by machine performance. The problem that occurs in production machines is the occurrence of downtime so that the machine does not work optimally. One of the engine performance indicators is OEE. forecasting of the OEE value is needed so that manufactures can take action so they can maintain engine performance. The purpose of this research was to see the results of forecasting OEE value with machine learning linear regression algorithms and see the value of model evaluation with MAPE. The results of the study using training data and testing data obtained a multiple regression model with the variable y is OEE, the intercept coefficient is , and slope coefficient of the availability and performance variables is  and . The model evaluation results are in the range<10%, meaning that the accuracy results had excellent forecasting model.
Optimasi Jumlah dan Lokasi Tempat Perhentian Bus (TPB) Trans Padang Koridor V dengan Model Set Covering Problem Sari, Engla Diva; Rosha, Media
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.14974

Abstract

Trans Padang is a bus managed by the Padang City government since 2014. One of the corridors on the Trans Padang bus is corridor V uses a Bus Stop. However, the existence of TPB Trans Padang corridor V is not optimal. The purpose of this research is to determine the optimal number and location of TPB is to use The Set Covering Problem Model. The data sought is the location where there may be crowds. Then the data is validated using the Cochran Q-Test so that the data becomes a point of request. Next, a set of cover problem will be made and will be solved with the Enumerasi Implicit method. The results of processing using the Enumersi Implicit method obtained that the optimal TPB was 26 TPB, with the addition of TPB locations in 10 locations, is RSU Bunda BMC Padang, Simpang Sawahan, Simpang Lubeg, Erick Minimarket, Pitameh Garden, Budiman Cengkeh, Hoya Cengkeh, MR DIY Banda Buek, Dalas Swalayan, dan MTS AL FATAH.
Pengendalian Persediaan Bahan Baku Keripik Balado Salsabila Menggunakan Metode Silver Meal Heuristic Adinda, Viola; Helma, Helma
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15083

Abstract

Inventory is a factor that decides the smoothness of production and sales so inventory must be controlled to produce minimum costs. The problems that occur in the Keripik Balado Salsabila Business are the use of erratically raw material supplies and the absence of raw material control, so a method is needed to deal with these issues. The research purpose is to compare the total inventory of raw materials between company policies and the method of Silver Meal Heuristic. The benefits of this method are to control inventory and reduce inventory costs. In controlling inventory, the data that is calculated is the five main raw materials for Keripik Balado, including cassava, oil, chili, salt, sugar and lime. The results obtained using the Silver Meal Heuristic method indicated savings in raw material inventory costs of IDR3.829.000 with a total efficiency of 16%. Thus, the method of Silver Meal Heuristic is better to use because it produces a smaller total inventory cost compared to company policy.
Aplikasi Machine Learning dalam Prediksi Harga Saham Jakarta Islamic Index (JII) Menggunakan Metode Support Vector Regression Faiza, Lala Nur; Agustina, Dina
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15110

Abstract

Investment is the process of allocating money into an asset with the goal of generating future profits. Investing in stocks generates higher returns but has a high risk as well. Therefore, the fluctuations in stock prices are very important so that investors need to analyze stock prices when making an investment. This study aims to apply machine learning in stock price prediction using the Support Vector Regression (SVR) method. JII stock data for the months of December 2021 to November 2022 were used in this study. Predicting stock prices is one of the processes in this research's data analysis processusing the Support Vector Regression (SVR) and then using RMSE to evaluate the model. The conclusions of this study indicate that SVR can be implemented as a method for predicting stock prices with the smallestRMSE values for ANTM, BRIS, and BRPT shares of0.0004.