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Contact Name
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
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
Aplikasi Stepping Stone Method (SSM) dalam Pengoptimalan Biaya Transportasi Pengiriman Barang di PT. Selatanjaya Aditama Perkasa Meidiani Sandra; Dony Permana
Journal of Mathematics UNP Vol 3, No 2 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.004 KB) | DOI: 10.24036/unpjomath.v3i2.4679

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Abstract - A company distributors usually have constraint to delivery of the goods to the shop or the supermarket. These limitations include the delivered goods must be timely, demand for goods in the store can't be delivered in a single shipment or in the once a time. Therefore it needs a method of transportation to solve this problem. This research aims to know the completion of delivery of the goods on the transportation problem. The method used is the Least Cost Method is one method of transport that produce solutions of the initial shipping costs and Stepping Stone Method is one of the advanced method that can optimize the costs of delivery of the goods. The data used in this research is secondary data originating from PT. Selatanjaya Aditama Perkasa in March2018. By using both of these method    retrieved 10,71% cost reduction. This cost is the optimum cost of delivery of the goods due to the cost of shipping goods to PT Selatanjaya Aditama Perkasa in March 2018 is Rp. 12,602,400.
Implementasi Logika Fuzzy Metode Tsukamoto dalam Menentukan Tingkat Resiko Terkena Serangan Jantung Puti Andam Dewi; Yusmet Rizal
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v5i4.11109

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Abstract—A coronary artery is a system of blood vessels that supplies oxygen and nutrients to the heart muscle. If there is narrowing, blood flow to the heart will decrease and cause a heart attack. This situation will not occur if you avoid the factors that trigger heart attacks. The formulation of the problem is how to determine the level of risk of having a heart attack using the Tsukamoto method of fuzzy logic. The purpose of this study was to find out how to determine the level of risk of having a heart attack using the Tsukamoto method of fuzzy logic. This research is an applied research with the population is patients who seek treatment at the cardiac clinic of Semen Padang Hospital, while the sample is outpatient cardiac clinic Semen Padang Hospital. The type of data is secondary data consisting of age, blood pressure, blood sugar and total blood cholesterol data. The results of this study are the level of risk of having a heart attack in the outpatient cardiac clinic at Semen Padang Hospital. By substituting all the values of the triggering factors, the risk of heart attack is obtained.Keywords—Heart Attack, Influencing Factors, Fuzzy Logic, Tsukamoto Method
Penerapan Metode ARIMA untuk Meramalkan Harga Emas Terhadap Mata Uang Dolar Amerika Serikat NA Mentacem; Arnellis Arnellis; Yenni Kurniawati
Journal of Mathematics UNP Vol 4, No 1 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.116 KB) | DOI: 10.24036/unpjomath.v4i1.6274

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Abstract–Gold is one of precious metals group which has high value and often to be used as a investment object. Meanwhile, United States Dollar (USD) is the most stable currency among all of currencies in the world at this time. Gold and USD are the best investment object for keep our wealth from inflation. Based on these facts, it is necessary to forecast the price of gold in USD. The forecasting method that is used in this research is ARIMA method. The goal of this research is to get the prediction of gold price in USD in the future based on the price of gold from year 2009 to 2016 .The result of this research indicates that the ARIMA (1,1,1) model as the best model for forecasting. The complete equation is. Based on this model, the gold price in 2017 is going to increase. The prediction of gold’s price in January 2017 is USD 1,128 for every an ounce gold, and the price of gold in December is predicted will be at the point USD 1,171 for an ounce. Keywords–Gold Price, United States Dollar, ARIMA, Invesment
Analisis Sensitivitas Model Black-Litterman Menggunakan Treynor Ratio pada Portofolio Saham Puja Ermiati; Devni Prima Sari
Journal of Mathematics UNP Vol 7, No 1 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.47 KB) | DOI: 10.24036/unpjomath.v7i1.10370

Abstract

Investment is an activity that can not separate from return and risk, so that forming portfolio is important to risk minimizing and profit optimizing. One of way to optimizing portfolio is using Black-Litterman model. This model is model that combine equilibrium return by CAPM eith investor’s views about return an asset. Purpose of this research are to form Black-Litterman model with tau calibration and measure the best portfolio performance with treynor ratio. This research used secondary data stock in LQ-45 index during August 2019-January 2020. Selecting portfolio by selecting high return expected CAPM are CPIN, WIKA, ADRO and CTRI. Forming portfolio using Black-Litterman model by  calibration so obtain the best measure performance by Treynor Ratio are 0,12142 with =1 and potfolio return 0,26445
Analisis Konjoin pada Pengukuran Preferensi Mahasiswa FMIPA UNP dalam Memilih Smartphone Sismita Sari; Suherman Suherman; Minora Longgom Nasution
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.705 KB) | DOI: 10.24036/unpjomath.v6i2.11567

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Abstract – Currently, the smartphone comes with a variety of attributes, such as RAM, camera, battery, display and prices vary. The variety of smartphones make consumers can choose the desired product. Based on these problems, then the problem formulation in this research is what most influential attributes against the preferences of FMIPA UNP’s students in choosing a smartphone. The population of this research are all students of FMIPA UNP with sample as much as 190 respondents. In this research, the data used is primary data. Data analysis techniques used are Conjoint Analysis. From the results of data analysis, retrieved the importance attribute for each attribute RAM, camera, battery, display, and consecutive registration 37,402%, 12,342%, 9,623%, 7,772%, and 32,862%. Based on the importance of these attributes retrieved conclusion that attribute that most influences the referrers students of FMIPA UNP in choosing a smartphone is the attribute of the RAM.               Keywords – smartphone, preferences, attributes, conjoint analysis
Analisis Kualitas Pelayanan Kesehatan Puskesmas Inderapura Kecamatan Pancung Soal Kabupaten Pesisir Selatan dengan Menggunakan Analisis Faktor Elfemi Syafitri; Helma Helma
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.864 KB) | DOI: 10.24036/unpjomath.v5i1.8901

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Abstract–Services are the activities of a person, to serve the process of fulfilling the needs of both directly and indirectly. The aim of this research is to find out how the quality of Inderapura Public Health Center health services. The type of the research used in this study is applied research and uses primary data which are gotten from the results of filling out the questionnaires. The population in this study were all residents of Inderapura Pancung Soal Subdistrict of 26,495 people with 100 samples. The sampling technique used is Non Probability Sampling, by means of Accidental Sampling. The results of the study were measured using 5 dimensions of public service quality namely: direct evidence, reliability, responsiveness, assurance and empathy. Based on the five variables used, the health services that provided by Inderapura Public Health Center staff were seen from the highest level of respondents feeling satisfied in Inderapura Public Health Center health services. This is shown from the results of the description of the study which is at 93.1%. The quality of the health service can be caused by internal and external factors Keywords–Service Quality, Puskesmas, Accidental Sampling, Factor Analysis.
Penerapan Pohon Rentang Minimum pada Graph dalam Segmentasi Citra Silvia Alvini; Armiati Armiati; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.555 KB) | DOI: 10.24036/unpjomath.v6i2.11568

Abstract

Abstract – Image segmentation is the process of separating the object from the background or of other objects that are not a concern, so the object can be processed for the other purposes. Along with the development of technology in digital image processing application, the segmentation process becomes increasingly necessary. The results of the segmentation must be accurate so that any error does not happen in the interpretation of information from an image. This article discussed the application of the minimum spanning tree on a graph in a segment of an image. This method is able to separate an object from the background so that it produces binary image, which is in this case, the object that being the focus is set in white, while the background is black or otherwise. The whole processes were done by using the Matlab R2013a. Keywords – graph, minimum spanning tree, image segmentation, digital image
Analisis Faktor-Faktor yang Mempengaruhi Produksi Jeruk di Kenagarian Kototinggi Kecamatan Gunuang Omeh Kabupaten 50 Kota Menggunakan Regresi Linear Berganda leni rahayu; meira parma dewi
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.093 KB) | DOI: 10.24036/unpjomath.v4i3.7185

Abstract

Abstract–The production centre of oranges in 50 Kota Regency, Kototonggi Subdistrict. The production of oranges has a fluctuation every year.Thei purposei is to observe the most signifikant factor which influences the production of the oranges at Kototinggi Subditrict, Gunuang Omeh District, 50 Kota Regency. The instrument was a questionnaire given directly to 100 orange farmers in Kototinggi Subdistrict and the data included primary data. The analysis used is multi linier regresion analysis. The most significant factors of oranges production in Kototinggi Subdistrict are farming land area (x1) , amount of fertilizer (x3),  amount of pesticide (x4),  diseases and pest (x5) with the level of error 10 %Keywords–Orange, Multiple Linear Regression Analysis, Factor of Production
Pembentukan Portofolio Optimal dengan Model Markowtz dan Two-Fund Theorem pada Saham LQ-45 di Bursa Efek Indonesia Febriani Febriani; Media Rosha
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.544 KB) | DOI: 10.24036/unpjomath.v5i4.11095

Abstract

bstract — Inflation is an increase in the level prices continually. The impact of inflation can beovercome by investing capital or resources carried in an asset with the expectation of obtaining profits in the future which is called investment. Portfolio is a set of several assets to reduce of risk. One of the way to form an optimal portfolio is Markowitz Model using Two-Fund Theorem that can present a portfolio of the smallest risk according to investor preferences. The purpose of this research is to determine the composition of optimal portfolio and proportion of fund from each stock in optimal portfolio.This research used secondary which is consist of 42 samples in LQ-45 during February-July 2019. The result of analysis 42 samples there are 7 stock to form an optimal portfolio with the proportion of them. They are BBRI 43.91%, BRPT 24.08%, EXCL 14.75%, INTP 0.35%, JSMR 8.75%, MNCN 3.57%, WIKA 4.59%.Keywords — optimal portfolio, markowitz model, two-fund theorem.
Analisis Faktor-Faktor yang Berpengaruh Terhadap Produksi Kakao Menggunakan Regresi Linear Berganda di Kenagarian Petok Selatan, Kecamatan Panti, Kabupaten Pasaman Syahri Fitri; Helma Helma
Journal of Mathematics UNP Vol 4, No 2 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.511 KB) | DOI: 10.24036/unpjomath.v4i2.6320

Abstract

Abstract–Cocoa is one of Indonesia’s export commodities. In Sumatera Barat Province, the most potential region for cocoa production is Pasaman District. Unfortunatelly,  in 2018 cocoa production in Pasaman showed a significant decrease. This research is conducted  for finding out the cause of such decrease of cocoa production. The research was located in the village of Petok Selatan, Sub-district of Panti, Pasaman District. The data of this research is primary data where there are 115 questionnaires given directly to cocoa farmers in the village of Petok Selatan. The data having been obtained were analyzed by using multiple linear regression analysis. The result of the research shows that the factors of land area (x1), the amount of fertilizer (x3), the number of labor (x4), and the control of pests (x5) were the factors that most significantly influence cocoa production in the village of Petok Selatan, Sub-district of  Panti, Pasaman District.Keywords–Cocoa, Multiple Linear Regression Analysis, Factor of Production.