Journal of Mathematics UNP
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
13 Documents
Search results for
, issue
"Vol 6, No 2 (2021): Journal Of Mathematics UNP"
:
13 Documents
clear
<![CDATA[Regresi Probit dan Penerapannya pada Penentuan Faktor-faktor yang Mempengaruhi Kelulusan Mahasiswa pada Suatu Mata Kuliah (Suatu Studi Kasus pada Perkuliahan Analisis Real di Jurusan Matematika FMIPA UNP Selama Pembelajaran Daring) ]]>
<![CDATA[Sri Jelita Putri]]>;
<![CDATA[Helma Helma]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (200.721 KB)
|
DOI: 10.24036/unpjomath.v6i2.11566
<![CDATA[Abstract — Real Analysis is a course that emphasizes verification and skills in analyzing statements, so it becomes difficult for most students. With the online lecture system, the success of learning in this course will also has an impact on students. The purpose of this study was to determine the shape of the model, the factors that influence the student graduation, and the factors that have the greatest chance of graduating a student of the Mathematics Department of Mathematics and Natural Sciences in UNP in studying the Real Analysis course during online lecture using probit regression analysis. The data analysis used was the estimation of probit regression parameters, the significance test of the model using the G test, the significance test of the parameters using the Wald test, selecting the best model, interpreting the model and calculating the probability of passing students from the best model. Based on the research of the independent variables that affect the graduation of Mathematics Department students of Mathematics and Natural Sciences in UNP in studying Real Analysis courses during the implementation of online lecture is the background factor. Keywords — Probit Regression Analysis, Real Analysis, Student Graduation]]>
<![CDATA[Faktor-Faktor yang Mempengaruhi Produksi Jagung di Desa Kayu Gadang Menggunakan Analisis Regresi Linier Berganda ]]>
<![CDATA[Ceng Sri Yunita]]>;
<![CDATA[Helma Helma]]>;
<![CDATA[Minora Longgom Nasution]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (99.594 KB)
|
DOI: 10.24036/unpjomath.v6i2.11552
<![CDATA[Abstract –The village of Kayu Gadang is one of the villages in the subdistrict of South PesisirRegency silk economy society resting on farming corn. But the community does not yet have enough information about the factors that affect corn production such as land area, the distance to the source of the water, the land length of the trunks, width and fertilizer so that cause less productive corn production results obtained community which is around 602,549 tonnes by 2015 that should more than 605,352 tons in 2014. Based on the above issues, then the formulation of the problem in this research are factors that affect the production of any corn in the village of Kayu Gadang SouthPesisirRegency. The purpose of this research is to know what a linear multiple regression model and the factors that affect the production of maize in the village of Kayu Gadang South Pesisir Regency. Keywords –kayu gadang, the production of corn, multiple linear regression analysis]]>
<![CDATA[Analisis Korelasi Kanonik Hubungan Lingkungan Pendidikan terhadap Prestasi Belajar ]]>
<![CDATA[Riski Dwi Rianto Putra]]>;
<![CDATA[Atus Armadi Purta]]>;
<![CDATA[Riry Sriningsih]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (215.542 KB)
|
DOI: 10.24036/unpjomath.v6i2.11571
<![CDATA[Abstract – The learning achievement is the result of learning achieved in the form of value. Environmental education is one of the factors that influence learning achievement. To see the relationship between environmental education with student achievement SMP Lanud Padang used statistical analysis canonical correlation analysis. Canonical correlation analysis is used to see the relationship between dependent variables with independent variables. The results showed that the relationship between environmental education with student achievement class VII Space Lanud Padang can not be known, because the analysis could not proceed to the stage interpretation of the canonical variables. However, based on the value of the P-Value between environmental variables and the variables education learning achievement can be seen learning achievement is affected by a significant educational environment, including PAI, PKN, Indonesian and English. And school environments have the most impact on student learning in junior high presatasi Space Lanud Padang. Keywords – Learning achievement, environmental education, canonical correlation analysis]]>
<![CDATA[Algoritma Genetika pada Optimasi Persoalan Knapsack 0/1 ]]>
<![CDATA[Abdullah Husein]]>;
<![CDATA[Dewi Murni]]>;
<![CDATA[Meira Parma Dewi]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (183.925 KB)
|
DOI: 10.24036/unpjomath.v6i2.11551
<![CDATA[Abstract – The problem of 0/1 Knapsack is an issue in the selection of objects from the set of objects that each object have a decision "selected" or "not selected". The decision to choose a object is prioritized by the weight and profit of these objects, for example, to maximize profits or minimize costs. The main issue of this problem, it take to many processes and time to find the optimum solution. Therefore, we need a method and a program to find aproximate solutions to this problem so that decisions can be made quickly with fixed gain maximum profit. The purpose of this study is to obtain an efficient way to finding the optimum solution of this problem. Optimization method that used in this research is genetic algorithm, while the program is made in Python programming language. Based on this research, it is known that the genetic algorithm is able to obtain the optimum solution knapsack problem in a fairly short time.Keywords – 0/1 knapsack problem, finding the optimal solution, genetic algorithm]]>
<![CDATA[¬¬¬Pemodelan Matematika Penyebaran Penyakit Covid-19 dengan Menggunakan Model SIRS ]]>
<![CDATA[Maghfira Izzani Afwan]]>;
<![CDATA[Helma Helma]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (662.805 KB)
|
DOI: 10.24036/unpjomath.v6i2.11560
<![CDATA[Abstract — Covid-19 is a collection of viruses that infect the respiratory system and cause death. Covid-19 is transmitted through a liquid splash that is released when an infected individual coughs, sneezes or talks. Prevention of Covid-19 transmission can be done by not making contact with infected people, because there is a possibility that patients who have recovered from Covid-19 will be infected again due to a decreased immune system in the body. The purpose of this study was to determine the form of a mathematical model in the spread of the Covid-19 disease using the SIRS model and interpret the results of the analysis from the mathematical model. The method used is to analyze the conditions related to the problem so that it can be done to form a mathematical model of the spread of the Covid-19 disease. Based on the results of the analysis, the spread of the Covid-19 disease is influenced by the level of transmission due to contact with people infected with Covid-19, the presence of immigrants entering Indonesia from countries infected with the Covid-19 disease and a decreased immune system in people who are infected with Covid-19 has recovered from the Covid-19 disease.Keywords — Mathematical Model, SIRS Model, Covid-19Abstract — Covid-19 is a collection of viruses that infect the respiratory system and cause death. Covid-19 is transmitted through a liquid splash that is released when an infected individual coughs, sneezes or talks. Prevention of Covid-19 transmission can be done by not making contact with infected people, because there is a possibility that patients who have recovered from Covid-19 will be infected again due to a decreased immune system in the body. The purpose of this study was to determine the form of a mathematical model in the spread of the Covid-19 disease using the SIRS model and interpret the results of the analysis from the mathematical model. The method used is to analyze the conditions related to the problem so that it can be done to form a mathematical model of the spread of the Covid-19 disease. Based on the results of the analysis, the spread of the Covid-19 disease is influenced by the level of transmission due to contact with people infected with Covid-19, the presence of immigrants entering Indonesia from countries infected with the Covid-19 disease and a decreased immune system in people who are infected with Covid-19 has recovered from the Covid-19 disease. Keywords — Mathematical Model, SIRS Model, Covid-19]]>
<![CDATA[Model Matematika Penyebaran Virus Komputer dengan Eksistensi Programmer Virus ]]>
<![CDATA[Meri Mulyani]]>;
<![CDATA[Media Rosha]]>;
<![CDATA[Riry Sriningsih]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (166.954 KB)
|
DOI: 10.24036/unpjomath.v6i2.11570
<![CDATA[Abstract – On the article discussed the mathematical model SIRI (Susceptible, Infected, Recovered, and Infected) to describe the propagation behavior of computer virus under existence virus programmer. Based on the analysis, model has two the equilibrium points that are disease-free equilibrium point and endemic equilibrium point. Existence and stability of the equilibrium point was determined by the basic reproductive number. Disease-free equilibrium point always there and stable if the basic reproductive number is smaller than one, whereas endemic equilibrium point exists and stable only if the basic reproductive number is greater than one. Based on these results and a parameter analysis, the numerical simulation to illustrate the analytic results obtained.Keywords – Mathematical Model, Virus Programmer, Equilibrium Point, Stability, Basic Reproductive Number]]>
<![CDATA[Model Matematika Persediaan Barang karena Adanya Kerusakan dengan Tingkat Permintaan Eksponensial dan Partial Backlogging ]]>
<![CDATA[Iswarnedi Iswarnedi]]>;
<![CDATA[Muhammad Subhan]]>;
<![CDATA[Riry Sriningsih]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (476.308 KB)
|
DOI: 10.24036/unpjomath.v6i2.11555
<![CDATA[Abstract – Inventory control by companies is needed to ensure of customers’s demand. Optimal order quantity is a model that uses for counting the optimal total of an item, which could be bought or produced to minimize the costs, both in terms of supplies and processing order purchase. The purpose of this research is to form the inventory model for deteriorating item with exponential demand rate. The method is descriptive method by analyzing the theories which are relevant to the problem. Finally, we get the model form and numerical example that is given to illustrate the model.Keywords– mathematical model, inventory, exponensialdemandrate,deterioration,partialbacklogging]]>
<![CDATA[Model Matematika Pengaruh Lingkungan Terhadap Dinamika Jumlah Populasi Pejudi ]]>
<![CDATA[Rozi Wahyudi]]>;
<![CDATA[Media Rosha]]>;
<![CDATA[Riry Sriningsih]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (142.326 KB)
|
DOI: 10.24036/unpjomath.v6i2.11569
<![CDATA[Abstract – The article discussed mathematical model of the environmental influences to dynamics of gambler population. This research was started with forming mathematical model of the environmental influences to dynamics of gambler population in non-linear differential equations system. Based on analysis model, there are two types of equilibrium point that are free equilibrium point of gambler and endemic equilibrium point. Existence and stability of the equilibrium points are determined by the basic reproduction number. By analyzing the model, obtained the stability of each equilibrium points.Keywords – mathematical model, gambler, equilibrium, stability, basic reproductive number]]>
<![CDATA[Peramalan Ekspor Minyak Kelapa Sawit Indonesia Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown ]]>
<![CDATA[Istima Istima]]>;
<![CDATA[Media Rosha]]>;
<![CDATA[Meira Parma Dewi]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (233.232 KB)
|
DOI: 10.24036/unpjomath.v6i2.11554
<![CDATA[Abstract – Palm oil is one of the non oil and natural gas export commodities in Indonesia that has a high economic value and becomes one of the country’s foreign exchange earner. The increase of the world market needs of palm oil will certainly affect export activities. Therefore, the exports of palm oil for the next few years need to be predicted so that the government can make planning and do appropriate actions. The method used was the Tripel Exponential Smoothing Method Type Brown. This method is a one parameter quantitative forecasting method for time series data that are quadratic trend. The forecast accuracy measure used was Mean Square Error (MSE) to determine the ideal parameter. The forecast model obtained was . The forecast of the exports of Indonesian palm oil in 2015 to 2019 were between 24.509,329 thousand tons to 33.563,659 thousand tons. Keywords – forecasting, export, palm oil, tripel exponential smoothing method type brown]]>
<![CDATA[Penentuan Akar Persamaan Tak Linier Menggunakan Metode Prediktor-Korektor Halley ]]>
<![CDATA[Khairil Amri]]>;
<![CDATA[Minora Longgom Nasution]]>;
<![CDATA[Riry Sriningsih]]>
<![CDATA[ Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP ]]>
Publisher : <![CDATA[UNIVERSITAS NEGERI PADANG ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (431.01 KB)
|
DOI: 10.24036/unpjomath.v6i2.11558
<![CDATA[Abstract-Nonlinear equation which is difficult to solve by analysis, but it can be solved using approach of variety of numerical methods, for instance Newton-Raphson and Halley Methods. However, the methods are not guaranteed to be convergent. Predictor Corrector Halley's method is one of the method that appear from the advantages and disadvantages of Newton-Raphson and Method of Halley. This method uses the Newton-Raphson Method as predictor and Halley's Method as corrector. It has a higher order and more efficient from Newton-Raphson and Halley methods. The advantage of this method has a higher convergence that has sixth-order convergence so that the step of the iteration is fewer. Next,an algorithm of this method is used to determine the root approximations of nonlinear equations.Key Words-Non Linear Equations, Newton Method, Halley Method, Prediktor Corector Halley Method, Algorithm.]]>
