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Defri Ahmad
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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 313 Documents
Fuzzy Time Series Markov Chain dalam Meramalkan Nilai Tukar Mata Uang (Kurs) Antara Ringgit Malaysia dengan Rupiah Poppy Mangkunegara; Yerizon Yerizon
Journal of Mathematics UNP Vol 5, No 3 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.057 KB) | DOI: 10.24036/unpjomath.v5i3.10602

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Abstract— Currency exchange rates (exchange rates) can affect the economic stability of a country. Each country conducts international relations, one of which is Indonesia and Malaysia, namely Indonesia's export activities to Malaysia. This study aims to determine the accuracy rate of forecasting with MAPE and to determine the exchange rate (exchange rate) in the next period using the Fuzzy Time Series Markov Chain. This research is applied research with secondary data taken from the official website of Bank Indonesia. By converting the exchange rate data into linguistic values and then transferring it to a fuzzy logic group to determine the markov chain transition matrix, the forecast results can be obtained. The results of processing exchange rate data using the Fuzzy Time Series Markov Chain method obtained prediction accuracy reaching 96.78% of the actual data with a MAPE value of 3.22% and the forecast results on May 4 2020 amounting to IDR 3,468. Keywords—currency exchangerate, forecasting, markov chain fuzzy time series method.
MENENTUKAN FORMULASI ASURANSI JIWA DWIGUNA MENGGUNAKAN HUKUM HELIGMAN-POLLARD DENGAN KASUS MULTIPLE LIFE Wanari Intan Dwi Putri; Muhammad Subhan; Dewi Murni
Journal of Mathematics UNP Vol 3, No 1 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.492 KB) | DOI: 10.24036/unpjomath.v3i1.4669

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Abstract – One of the problems that can happen to the insurance company is the inability of the company to pay compensation to the insurance participants in the event of a claim. For that, it takes a formulation of premium calculation so that the premium value can be calculated properly. Calculation of net premium using Heligman-Pollard law. The calculation of premiums by using Heligman-Pollard law begins with creating mortalitaas tables, making the cash value of dual-purpose annuity insurance with dependents for n years, calculating net periodic premiums on dual life insurance with multiple life cases, calculating annual net premiums on dual-life insurance with multiple cases life. By using this Heligman-Pollard law, insurance premiums will be grouped into 3 age groups on the new mortality table.
ANALISIS CLUSTER COVID-19 DI SUMATERA BARAT DENGAN METODE NON-HIRARKI (K-MEANS) Afridho Afnanda; Arnellis Arnellis
Journal of Mathematics UNP Vol 6, No 3 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.567 KB) | DOI: 10.24036/unpjomath.v6i3.11818

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COVID-19 has spread and has become a pandemic in almost all of the world, including in Indonesia. In Indonesia, this virus was first announced on March 2, 2020, until March 14 to 27, 2020, a total of 77,261 cases were identified. In an effort to stop the spread of COVID-19, the Indonesian government has made several policies that are expected to suppress the spread of this virus. Cluster analysis is a technical class, used to classify objects or cases into relatively homogeneous (same) groups called clusters. The type of data used is secondary data on COVID-19 in districts/cities of West Sumatra Province obtained from the West Sumatra Provincial Health Office and the COVID-19 task force website, where the data obtained is cumulative data from March 2020 to July 14, 2021. Optimization the number of K clusters using the elbow method to produce K=3, the results of the K-means cluster analysis with the number of K=3 concluded that the distance of members in the cluster is low and the distance between clusters is large
Peramalan Produksi Ikan Laut di Kabupaten Pesisir Selatan Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown Rimpi Oktaria; Dewi Murni; 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 (365.673 KB) | DOI: 10.24036/unpjomath.v4i2.6319

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Abstract – Indonesia is a maritime country that has a lot of potential wealth of the sea, one of them is fish production. In West Sumatra, Pesisir Selatan is one of the Region that have a lot of fish production. It is beneficial for the local government to increase the GDP. Therefore, Pesisir Selatan marine fish production for the next few years needs to be foreseen for the government to make planning and appropriate action so the local revenue and foreign exchange could be improved. The purpose of this research was to obtain a forecasting model and predict fish production of Pesisir Selatan in 2015 until 2019. The forecasting method used is triple exponential smoothing method of Brown type. Based on the research results, it is estimated the Pesisir Selatan fish production for 2015 to 2019 has increased.Keywords  –  Fish Production, Forecasting, Tripel Exponential Smoothing, Brown Type
Metode Cutting Plane dan Analisis Sensitivitas pada Optimasi Keuntungan Penjualan Usaha Kue Putu Asli M*R Moni Sarisa; Dewi Murni
Journal of Mathematics UNP Vol 7, No 3 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.12 KB) | DOI: 10.24036/unpjomath.v7i3.13016

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The M*R Original Putu Cake business is located in Balingka village, IV Koto District, Agam Regency, West Sumatra. This business produces three types of putu cakes, namely white baked putu, black baked putu, and steamed putu. The purpose of this study is to determine the optimal amount of production using the cutting plane method and to determine the range of changes that can be made to the production factors using sensitivity analysis. The result gives, the optimal production quantities of white baked putu, black baked putu, and steamed putu are 9.998 packs, 4.835 packs, and 3.000 packs, respectively. Meanwhile, through sensitivity analysis, it is concluded that changes in production factors will not affect the optimal solution as long as it is within the range of the maximum upper limit and minimum lower limit according to the calculated output.
Faktor – faktor yang Mempengaruhi Persalinan Berdasarkan Umur Kehamilan dengan Menggunakan Analisis Regresi Logistik Melly Kurniawati; Media Rosha; Nonong Amalita
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.054 KB) | DOI: 10.24036/unpjomath.v6i1.11557

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Abstract – Childbirth is a natural event experienced by a mother. Based on interviews in September 2015 were conducted in the mother house who have experienced childbirth said that the mother gave birth at 29 weeks gestational age infant’s organ is not mature enough, and the baby eventually died. The aim of this study was to determine the form of the logistic regression model, factors that significant and  opportunity of the each factors that significantly affect childbirth based on gestational age. The results were obtained form the logistic regression model that describes the factors that affect childbirth based on gestational age. Who the significance factor are history of childbirth, anemia, and hypertension. Opportunity mother had a history of preterm childbirth, anemia, and hypertension the opportunity of the mother will experience premature childbirt is 0.999.     Keywords: Childbirth, Logistic Regression, Probability
Analisis Tingkat Kepuasan Pelanggan Terhadap Pelayanan Coffeeshop (Studi Kasus pada Coffeeshop Bacarito Kopi di Padang) Putri Rahmania Sari; Suherman Suherman
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 (730.813 KB) | DOI: 10.24036/unpjomath.v5i1.8912

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Abstract —This research was conducted because it has quite high competitiveness of Coffeeshop in Padang so that it is necessary to consider the quality of service which is one way to retain old customers and attract new customers. The quality of service consists of empathy, responsiveness, reliability, tangible and assurance. This studyaaims.to-determine the-level0of customer-satisfaction and service quality-of Coffee Bacarito Coffeeshop. The number of samples=of this-study were 96 customers-from Bacarito Coffee Coffeeshop. The data analysis using the Customer Satisfaction Index (CSI) method. The Customer Satisfaction Index value were obtained 81.87%. The services provided by the Coffee Bacarito Coffeeshop get good overall good overall results so it can be categorized as meeting the expectations of its consumers. This illustrates that Coffeeshop customers are very satisfied with the quality of service performance that Coffeeshop provides. The service that needs to be improved are the responsiveness of employees in dealing with customer complaints, the reliability of Coffeeshop Bacarito Coffee in the open-closed schedule on time, also raise the awareness of customers feedback.Keywords — Customer Satisfaction Index, Coffeeshop Bacarito Kopi, Customer Satisfaction
Penerapan Metode Analytical Hierarchy Process dalam Analisis Profil Badan Usaha Milik Negara Tempat Kerja bagi Lulusan Program Studi Matematika Suci Rizka Welza Putri; Minora Longgom Nasution; Muhammad Subhan
Journal of Mathematics UNP Vol 2, No 1 (2014): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.875 KB) | DOI: 10.24036/unpjomath.v2i1.1962

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Abstract The goal of this research is to know about main criteria that is considered by the graduate of Mathematics Study Program, Faculty of Mathematics and Science, State University of Padang in choosing a job in Badan Usaha Milik Negara (BUMN) using Analytical Hierarchy Process (AHP) method. The data is collected from opinion of respondents which is the September 2012 period graduates in pairwise comparison questionnaire form using Saaty’s scale (1-9). The main result of this research is the graduate is more consider about their carrier in the future (31,2%) in the BUMN Persero that they choose, then followed bysalary, image and placement. Then the other one shows that Pertamina (34,5%) is  the first priority as a job choice, followed by Perusahaan Listrik Negara, Telkom, Garuda Indonesia, Bank Tabungan Negara, Pos Indonesia, Asuransi Jasa Raharja, and the last one is Pembangunan Perumahan. Keywords Analytical Hierarchy Process, priority, job choice
Optimasi Produksi Tanaman Padi dan Jagung di Kabupaten Pesisir Selatan Menggunakan Metode Fungsi Penalti Eksterior Emmelia Safani; Devni Prima Sari
Journal of Mathematics UNP Vol 5, No 3 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.028 KB) | DOI: 10.24036/unpjomath.v5i3.10593

Abstract

Abstract — Planted area, harvested area, and the average production of rice and maize in Pesisir Selatan Regency in 2010-2018 fluctuated, thus affecting agricultural conditions and the economy of the community and government. Therefore, it is necessary to have an optimal planting area, harvest area, and average production of rice and maize. The purpose of this study was to determine the form of a mathematical model and the results of the solution to optimize the production of rice and maize in Pesisir Selatan Regency with the exterior penalty function method. This research method explains the basic concept of the n-order polynomial regression method for the mathematical model of nonlinear programming problems and solving nonlinear programming problems with the exterior penalty function method. The exterior penalty function method converts a constrained nonlinear problem into a constrained one. The data used are secondary data obtained from the publication of the Puasat Statistics Agency for Pesisir Selatan Regency in 2010-2018. The optimal result of the exterior penalty function method for rice plant area is 66.667 Ha, the planted area of maize is 16.667 Ha, and the average total production of rice and maize is 236,56 Kw/Ha. Keywords — Production of Rice and Corn, Polynomial Regression Method, Exterior Penalty Function Method.
Penerapan Metode Mamdani dalam Menentukan Tingkat Resiko Gizi Buruk Ibu Hamil di Puskesmas Pemancungan Dini Kamala Sari; muhammad subhan
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 (916.371 KB) | DOI: 10.24036/unpjomath.v3i2.4675

Abstract

Abstract –Assessment of nutritional status is very important during pregnancy, because it greatly affects the health of the mother and fetus. To reduce mistake in nutritional assessment and the lack of certainty to find out how much the level of risk of malnutrition in pregnant women, fuzzy logic can be used. This study uses the Mamdani  method with the affirmation of the centroid method. There are three variables used in this study which is mid upper arm, hemoglobin and weight gain. The result of this study of eighteen pregnant women obtain ten at high risk, three at moderate risk, and five people at low risk.

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