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Journal of Mathematics UNP
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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Analisis Konjoin Dan Metode Kendall’s W Tentang Preferensi Mahasiswa Jurusan Matematika Fmipa Unp Dalam Memilih Berbelanja Online Amelia, Chairani; Arnellis, Arnellis
Journal of Mathematics UNP Vol 9, No 1 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i1.13623

Abstract

Online shopping is one of the processes of buying and selling goods, services and others online without meeting with sellers and buyers who provide various human needs easily. This study aims to find out how the attribute level combination of the students' liking level and the alignment of the attributes used in the study is carried out. The results in this study indicate that the combination of levels that students prefer most in choosing to shop online are products with good quality, low prices, promotions with discounts and free shipping, satisfactory service and a good reputation. The most important attribute for students of the Mathematics Department of FIMPA UNP in choosing to shop online is the price attribute because it has a very high level of relativity of 46.16%. In the Kendall's W method, it can be seen that there is harmony between the assessments of the respondents and the 5 attributes studied. This is indicated by the statistical value that is greater than the statistical value of the table, namely 61.79824 > 9.488.
Optimasi Hasil Produksi Keranjang Rotan Menggunakan Metode Karush-Kuhn-Tucker (Studi Kasus Rumahan Keranjang Rotan di Desa Buluh Rampai Belasandi, Belasandi; Arnelis, Arnelis
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.15168

Abstract

Optimization aims to obtain extreme values, either maximizing or minimizing a certain function with its limiting factors. This research was conducted in the rattan basket home industry of Buluh Rampai village by taking secondary data. To find out production results and maximum profits based on the availability of raw materials, time, labor and production capital, we use the Karush-Kuhn-Tucker method. This method can determine the optimum value of a constraint function without looking at its linear or nonlinear properties. This method is a development of the Lagrange method with matrix multiplication using the Matlab application. Based on the results of research using the Karush-Kuhn-Tucker method, it was found that the number of weighing rattan baskets produced was 116, 225 small round rattan baskets, 360 large round rattan baskets, and 77 ambungs with a maximum profit of IDR 41,985,313.
Peramalan Jumlah Produksi Jagung Kabupaten Pasaman Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown Destia, Atika; Helma, Helma
Journal of Mathematics UNP Vol 9, No 2 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i2.15814

Abstract

Corn is one of the most important carbohydrate-producing food crops in the world besides wheat and rice. Nowadays, corn has also become an important component of animal feed. Demand for corn continues to increase, responding to this condition, estimates of the amount of corn production in the future are needed. The aim of this research is to form a forecasting model for the amount of corn production in Pasaman Regency using the Brown type triple exponential smoothing method and predict the amount of corn production in Pasaman Regency from 2023-2025 based on the model that has been formed.This type of research is applied research with secondary data collection. In this study secondary data was obtained from the official website of the Pasaman Regency Central Statistics Agency. From the forecasting model, it can be seen that the parameter value α=0.26 can minimize the MSE value so that the forecast results in 2023 are 114,939.6 tons, in 2024 it is 123,762.4 tons, and in 2025 it is 132,762.4 tons.
Klasifikasi Calon Mahasiswa Penerima Beasiswa Baznas Kota Pariaman Menggunakan Metode K-Nearest Neighbor Dhelfiariani, Bestia; Murni, Dewi
Journal of Mathematics UNP Vol 9, No 2 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i2.15408

Abstract

Scholarship is a financial aid provided to students and scholars who face economic constraints. One of the organizations that offers scholarships is the National Amil Zakat Agency (Baznas). The selection process for Baznas scholarship recipients requires a data classification system to assist in the decision-making process. This research aims to analyze the classification results and determine the most optimal level of accuracy. The method used in this research is the k-nearest neighbor. The classification results using k=22 on 41 testing data obtained 37 accurately classified data and 4 misclassified data. Out of the 37 accurately classified data, 17 are students receiving Baznas scholarships, and 20 are students not receiving Baznas scholarships, with the most optimal accuracy rate of 90% (excellent classification).ABSTRAKBeasiswa merupakan bantuan biaya pendidikan yang diberikan kepada siswa maupun mahasiswa yang terkendala secara ekonomi. Salah satu pihak yang memberikan beasiswa adalah Badan Amil Zakat Nasional (Baznas). Proses penyeleksian penerima beasiswa Baznas membutuhkan sistem pengklasifikasian data untuk membantu proses pengambilan keputusan penerima beasiswa Baznas. Penelitian ini bertujuan menganalisis hasil klasifikasi dan mengetahui tingkat akurasi paling optimal. Metode yang digunakan pada penelitian ini yaitu k-nearest neighbor. Hasil klasifikasi menggunakan k=22 pada 41 data testing diperoleh 37 data tepat klasifikasi dan terdapat 4 data tidak tepat klasifikasi. Dari 37 data tepat klasifikasi terdapat 17 data mahasiswa menerima beasiswa dan 20 data mahasiswa tidak menerima beasiswa Baznas dengan tingkat akurasi paling optimal 90% (excellent classification).
Peramalan Jumlah Permintaan Tepung Terigu pada Bahan Baku Roti Menggunakan Metode Triple Exponential Smoothing Brown di Usaha Roti Anggun Farhati, Nia Awra; Murni, Dewi
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.14558

Abstract

Wheat flour is the main raw material in making bread. The amount of demand for wheat flour at Usaha Roti Anggun comes from distributors which will affect the amount of bread production. The purpose of this study is to form a forecasting model for the amount of demand for wheat flour in bread raw materials at Roti Anggun Business using the Brown type triple exponential smoothing method and forecast the amount of demand for wheat flour based on the model formed. The forecasting method used is Brown's Triple Exponential Smoothing with the parameter α which minimizes the MSE is 0.42. The results of forecasting the total demand for wheat flour at Usaha Roti Anggun with the equation model
Implementasi Metode Autoregressive Distributed Lag untuk Memodelkan Pengaruh Indeks Harga konsumen terhadap Inflasi Di Kota Padang Putri, Mona Yulia; Helma, Helma
Journal of Mathematics UNP Vol 9, No 1 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i1.15056

Abstract

 Inflation is defined as a process of rising and falling prices of goods and services, which generally occurs continuously. Inflation in the city of Padang is very volatile, price increases when inflation occurs can be calculated by the Consumer Price Index. The following research aims to build a model and predict inflation in the city of Padang, by applying the Autoregressive Distributed Lag method,is a regression model that substitutes the value of the variable showing the present value and the previous value of the independent variable as one of the explanatory variables. The results of the study show that inflation in the following month is influenced by inflation in the previous month and several groups of Consumer Price Index are also taken into account in this model.  
Mathematical Model of the Effect of Growth Hormone In Glucose Homeostasis Restu, Syaputri Dwi
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.10934

Abstract

Homeostasis is a state in the body of a living being that maintains the concentration of substances in the body. One of the substances in the body that is important to maintain is glucose. Glucose is the main source of energy for body work, which comes from the food consumed by the body. Glucose homeostasis is a condition that maintains or maintains the glucose concentration in the living body to remain stable / constant. This study aims to form a mathematical model that can describe the influence of growth hormone on glucose homeostasis. The model obtained is in the form of a system of differential equations consisting of six equations and three fixed points. The analysis results show that the pathological fixed point (P0) and the physiological fixed point (P1) is stable, while the pre-diabetic fixed point / physiological to pathological (P2) is unstable. 
Analisis Kestabilan dan Kontrol Optimal pada Model Matematika Radikalisasi Wahyuni, Siska; Murni, Dewi
Journal of Mathematics UNP Vol 9, No 1 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i1.15664

Abstract

Radicalization is a process of adopting extremist views that lead to violent acts. Efforts that can be made to eradicate extreme violence are prevention, disengagement and deradicalization. This study aims to determine the mathematical model of radicalization using the susceptible, extremists, recruiters, treatment and Aware model (SERTA),   and to obtain stability analysis results and optimal control of the model. This is a fundamental or theoretical study. According to the model analysis, there are two equilibrium points namely the free and endemic equilibrium points. The stability analysis of the system resulted in a basic reproduction number of 0,012297 for the equilibrium point free and 1,339847 for endemic. The use of Pontryagin’s maximum principle will produce optimal control value is obtained, namely:(u_1 ) ̇=min{1,maks(0,1/c_1  (λ_1-λ_5 )S)},(u_2 ) ̇=min{1,maks(0,1/c_2  [(〖2λ〗_2-λ_4-λ_5 )E+(λ_3-λ_4 )R])},(u_3 ) ̇=min{1,maks(0,1/c_3  (λ_2-λ_5 )δT)}.Numerical simulations show that providing u_1, u_2 and u_3 controls can minimize the number of extremist and recruiter populations and minimize the aware population.
Peramalan Hasil Produksi Padi di Kota Pariaman Menggunakan Metode Autoregressive Moving Average (ARMA) Khairani, Yasyfin Ikrima; Helma, Helma; Winanda, Rara Sandhy
Journal of Mathematics UNP Vol 10, No 1 (2025): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v10i1.16934

Abstract

Rice is the main commodity that supports national food security and fulfills the consumption needs of most of the Indonesian population. Rice production faces many persistent problems, such as yield fluctuations, pest and disease attacks, and environmental changes. One example is the conversion of agricultural areas into residential and industrial areas, which causes rice production to decline. The purpose of this research is to use the Autoregressive Moving Average (ARMA) approach to develop a forecasting model of Pariaman City’s rice production and forecast the results for 2024 in a monthly period. This applied research uses secondary data obtained from the official website of the Pariaman City Statistics Agency. The best forecasting model results are achieved with the ARMA (1,2) model which produces the smallest MSE value of 96.6965. The model form is $$Y_t = 1.00048Y_{t-1} + \varepsilon_t + 0.443\varepsilon_{t-1} + 0.493\varepsilon_{t-2}$$.
Penggunaan Regresi Dummy Untuk Penentuan Faktor-faktor Yang Mempengaruhi Harga Sewa Rumah Kos Simanjuntak, Wanastasya
Journal of Mathematics UNP Vol 10, No 2 (2025): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v10i2.16987

Abstract

Boarding house are a basic necessity that must be owned as a temporary residence for students who wish to continue their studies outside the city or outside the area where they live. This research aims to determine the factors that significantly influence the rental price of a boarding house. This research was applied research, the type of data is primary data with a research instrument in the form of a questionnaire that has been tested for validity and reliability. The population in this study were mathematics department students with 88 respondents as samples. The data analysis used is multiple linear regression analysis, stepwise method, taking into account the influencing factors, namely travel distance, facilities, security and cleanliness as independent variables. Based on the results of the study that the variables that influence boarding house rental price in this study were the safety of the boarding house, the distance from the boarding house to FMIPA and the cleanliness of the boarding house.

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