Claim Missing Document
Check
Articles

Found 12 Documents
Search
Journal : Journal of Mathematics UNP

Risiko Klaim Asuransi Jiwa Menggunakan Regresi Cox Disti Harlin; Minora Longgom Nasution; Yenni Kurniawati
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 (752.536 KB) | DOI: 10.24036/unpjomath.v6i1.11547

Abstract

Abstract – Life insurance is one of term for the transfer of risk. The main function of life insurance is as a transfer of risk from the insured to the insurer. Because that function, insurance company are required to determine the factors influencing and know the probability where at a certain time the insured will be many taking insurance claim. The right analysis for this problem is a cox regression model, because this analysis relates to someone survival situasion and the time as main factor. The result of this study indicate that the factors  that affect the risk of insurance claim are factors sex and type of work. Opportunity risk of the insured event occurs by female is    times than the insured event by male. Then the risk of the insured event occurs by outdoor times than the insured event by indoor.Keywords – Life Insurance, Klaim,  Cox Regression.  
Karakteristik Pemerataan Pendidikan Kabupaten/Kota di Provinsi Sumatera Barat dengan Aanalisis Biplot Elza Vinora; Irwan Irwan; Yenni Kurniawati
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 (461.269 KB) | DOI: 10.24036/unpjomath.v4i2.6302

Abstract

Abstract – Distribution of education in Sumatera Barat has become one of the priotities in the development of human resources. But until now, education in Sumatera Barat is still not evenly distributed. This can be see from the low of Participation Rough figures in certain areas as well as uneven distribution of theachers and educational fasilities. The purpose of this research is to provide information to local authorities about the state of education in local region to produce an appropriate policy regarding development of educational infrastructure and teachers distribution. Biplot is a graphic technique that presents together information about the object of observation and variabels in one plot. In this research, the three biplots is for elementary school education, junior high schools and high schools. Based biplot display, educational equity District / City in West Sumatra for all levels of education has not been evenly distributed.
Faktor-Faktor yang Mempengaruhi Kemiskinan di Sumatera Barat Menggunakan Metode Analisis Jalur Deska Warita; Dewi Murni; Yenni Kurniawati
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 (644.417 KB) | DOI: 10.24036/unpjomath.v6i1.11546

Abstract

Abstract – Poverty is a problem that until now has not been resolved by the government in Indonesia. West Sumatra is one of the provinces in Indonesia that did not escape from poverty. Formulation of the problem of this research are the factors that influence significantly poverty in West Sumatra and how much influence these factors against poverty in West Sumatra. Data were taken in 2013 in West Sumatra books in Figures 2014. This research in the form of research by using path analysis method, a method that can analyze the factors that influence directly and indirectly to poverty. Factors that affect directly poverty is unemployment and education, whereas the factors that influence indirectly poverty is education and GDP.Keywords – path analysis, poverty, factors that affect poverty.
Peramalan Jumlah Konsumsi Daging Sapi Indonesia Dengan Menggunakan Metode ARIMA M Fathoni Arnas; Helma Helma; 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 (194.515 KB) | DOI: 10.24036/unpjomath.v4i1.6273

Abstract

Abstract–Each year the consumption of beef in Indonesia is rising, but not followed by the high production of beef in the country. A shortage of beef production which cause the price of beef rises so it can’t beef affordable of society. Therefore be required estimate to amount of beef consumption in Indonesia. This is useful so that the Government can estimate of the consumption of beef is coming so that the Government try to satisfy the supply of beef consumption. One Forecasting method of used is ARIMA method. That formulation of the problem is "How Forecasting the amount of Beef consumption of Indonesia to 12 months ahead, from January 2016 until December 2016 with ARIMA method?” The results obtained from this research was getting Models ARIMA for the real level of 5% and 10% with each form of the equation is and . Keywords–ARIMA Method, Forecasting, BeefConsumption
Analisis Kovariansi pada Rancangan Acak Lengkap dengan Peubah Pengiring Berganda Menggunakan Pendekatan Matriks Wimmi Sartika; Lutfian Almash; Yenni Kurniawati
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 (601.176 KB) | DOI: 10.24036/unpjomath.v2i1.1965

Abstract

Abstract ––  The analysis of covariance is a statistical analysis  that combine the analysis of variance and regression analysis. Analysis of covariance is another technique of analysis that is used for improving the precision of an experiment. Suppose that in an experiment with a respon  variable  there is another variable, say covariate . This variable X can’t be controlled by experiment and linearly with  variable  . The purpose of this research to explaine the source of variation from analysis of covariance in design random complete with multiple covariates use matrix. For analyzing this research, that is analyzed sum squares and products for each source of variations. The result of this research , the source of variations contain error, total, and treatment. There is influence of regression that explaine covariates. Thus, this research also include hypothesis testing to know there is  influence of treatment with respons. Keywords –– Matrix, design random complete, regression analysis, covariate variable,  and analysis of covariance.
Faktor-Faktor yang Mempengaruhi Angka Kematian Akibat Kecelakaan Lalu Lintas di Sumatera Barat Menggunakan Analisis Jalur Hadiyanti Riskha; Arnellis Arnellis; Yenni Kurniawati
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 (249.571 KB) | DOI: 10.24036/unpjomath.v4i2.6316

Abstract

Abstract – Traffic accidents are a problem that needs serious attention given the enormous losses incurred. West Sumatra is one of the provinces in Indonesia which has a fairly high accident rate. The problems of this study are the factors that influence significantly the mortality rate from traffic accidents in West Sumatra as well as how big the influence of these factors on the level of fatalities in West Sumatra. Data taken from the 2009-2012 in the Central Bureau of Statistics and West Sumatra police data. This research method using path analysis, a method that can analyze the factors that directly and indirectly to the death rate from traffic accidents. Factors that influence the mortality rate due to accidents directly is the number of accidents, while the factors that affect poverty indirectly the number of violations and the roads are damaged.Keywords – path analysis, accident, factors that affect accident.
Pengklasifikasian Penerimaan Beasiswa Bidikmisi FMIPA UNP Tahun 2016 dengan Menggunakan Metode Classification and Regression Trees Elfin Innaka Hamidah; Yenni Kurniawati
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 (943.38 KB) | DOI: 10.24036/unpjomath.v3i2.4676

Abstract

Abstract­ – This study discussed about classification of Bidikmisi Scholarship Recipient. The classification was used by Classification and Regression Trees (CART) to college students who proposed Bidikmisi in Mathematics and Natural Sciences Faculty of State University of Padang at 2016. The purpose of this research is to determine characteristic of college student recipient and not recipient of Bidikmisi Scholarship based on seven variable that influence. Optimally Trees was obtained with choose the best separator based on maximal improvement values. Optimally trees was produced four variable, father’s occupation, mother’s occupation, Father’s Income, and building area. Characteristic of college student who bidikmisi recipient was parent’s occupation as farmer or etc. (as like as unemployment, the taxi bike, construction laborers, etc.) and father’s income  one million. While characteristic of college student that not bidikmisi recipient were Father’s occupation as civil servants, employees, entrepreneurship, or fisherman.
Optimasi Rute Pengiriman Produk dengan Meminimumkan Biaya Transportasi Menggunakan Metode Saving Matrix di PT. DEF Elfiani Sarian Bur; Dewi Murni; Yenni Kurniawati
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 (374.575 KB) | DOI: 10.24036/unpjomath.v4i2.6300

Abstract

Abstract–Decreasing water of systim water supplier factory represents difference the distribution value with consumption value. This case is used as a benchmark to the efficiency of the distribution system by the development of system water supplier factory. This cases can cause disadvantages to the systim water supplier factory. Therefore in the next few years, this case needs to be forecasting  that the systim water supplier factory  has plans  and appropriate action in order to the minimaze it. This research is to obtain  a forecasting model and predict decreasing water of system water supplier factory Padang Panjang city in2015 until 2019. The forecasting method used is triple exponential smoothing of brown type. The parameter α is used 0.128 which gives the value of Mean Square Error (MSE), that the smallest is 8.0892145076 ×1010. Forecasting of decreasing water system water supplier factory from 2015 to 2019 ranged from  1402382,354m3to1757709,053m3 . Keywords – Water decrease, Forecasting, Exponential Smoothing Triple Brown Type, Mean Square Error (MSE).
Pendugaan Data Hilang Menggunakan Metode Connected EM-AMMI dalam Bahasa R Siskha Maulana Basrul; Atus Amadi Putra; Yenni Kurniawati
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 (545.184 KB) | DOI: 10.24036/unpjomath.v2i1.1961

Abstract

Abstract –The Multilocation experiment, complete data are estimated with AMMI (Additive Main Effect and Multiplicative Interaction). But, if data in the research is not complete, then it can not be analysis with AMMI. The method can be use in estimator of unbalance data is “ The Method of Connected EM-AMMI with R”. The purpose of estimator from unbalance data with connected EM-AMMI in R is for knowing the procedures of estimator unbalance data in R. The source of data is in the research is the harvest’s result of rice in four cities’s West Sumatra. After that, we get 1.25 % Mean Absolute Percentage Error (MAPE). It shows that the estimator of unbalance data with using connected EM-AMMI’s method. Keywords – AMMI,  connected EM-AMMI, unbalance data, MAPE.
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

Abstract

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
Co-Authors Abdullah Herman Aditya, Muhammad Fadhil Aditya Admi Salma Afifa Lufti Insani AL Rezki Ivansyah Alya Aufa, Wafiq Amelia Susrifalah Anang Kurnia Anggara, Rudi Anggi Adrian Danis Anita Fadila Anjelisni, Nining Annisa Ramadhani Aprotama, Celsy Ardhi, Sonia Ardiyatul Putri Arnellis Arnellis arrahmi, nailul Atus Amadi Putra Aulia Wanda Aulia, Yuke Aurumnisva Faturrahmi Baehaqi Berliana Nofriadi Bimbim Oktaviandi Celsy Aprotama Chairina Wirdiastuti Cindy Caterine Yolanda Darwas Deska Warita Devi Yopita Sipayung Dewi Murni Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Diva Aliyah Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Eujenniatul Jannah Fachri Dermawan Fadhil Irsyad, Muhammad Fadhilah Fitri Fahmi Amri, Fahmi Fashihullisan Fatimah Depi Susanty Harahap Fayyadh Ghaly Fayza Annisa Febrianti Febiola Putri, Febi Fitri, Fadhilah Fitri, Fitri Hayati fitri, silfia wisa Ghaly, Fayyadh Hadiyanti Riskha harelvi, dhea afrila Harpidna, Riska Harpidna Hary Merdeka Helma Helma Helma Helma Hendrawan, Muhammad Hendri, Jhon Ihsan Dermawan Irwan Irwan Khairani, Putri Rahmatun Kristi, Elizabeth Kusman Sadik Lutfian Almash M Fathoni Arnas Manja Danova Putri Marvero, Andre Maya Ifra Shobia Meira Parma Dewi Minora Longgom Nasution Muhammad Arief Rivano Mukhti, Tessy Octavia NA Mentacem Natasya Dwi Ovalingga, natasyalinggaa Nonong Amalita Nugroho, Handi Wilujeng Oktaviani, Bernadita Permana, Dony permana, yazid Prida Nova Sari Putra, Dio Afdal Putri Yeni, Dicha Putri, Fadhira Vitasha Rahma, Dzakyyah rahmad revi fadillah Revina Rahmadani Riady, AD Risnawati Risnawati Rizki Amalia, Annisa Rizkiah, Niswatul Ronald Rinaldo Rosa Salsabila Azarine Salma, Admi Salsabilla Khairani Sasmita, Riza Sepniza Nasywa Septrina Kiki Arisandi Silvia Triana Siskha Maulana Basrul Siti Nurhaliza Sondriva, Wilia SRI RAHAYU Sri Wahyuni Susrifalah, Amelia Syafriandi Syafriandi Syafriandi Syafriandi Tessy Octavia Mukhti Tsani, Nahda Maesya Wimmi Sartika Windi Dwi Saputra Wita, Wita Resfi Ananta Yunistika Ilanda Zamahsary Martha Zilrahmi, Zilrahmi