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All Journal Media Statistika Jurnal Pendidikan Sains Jurnal Inovasi Pendidikan Kimia Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Tadris Kimiya Orbital: Jurnal Pendidikan Kimia Journal of Natural Science and Integration JURNAL EKSAKTA PENDIDIKAN (JEP) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Pembelajaran Sains Pelita Eksakta Journal of Educational Chemistry (JEC) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika BIOCHEPHY: Journal of Science Education Indo-MathEdu Intellectuals Journal Journal of Mathematics UNP Arfak Chem: Chemistry Education Journal Jurnal Pendidikan, Sains dan Teknologi UNESA Journal of Chemical Education UNP Journal of Statistics and Data Science Journal of Chemistry Education and Integration Jurnal Akademika Kimia Indonesian Journal of Statistics and Its Applications

Yenni Kurniawati

Jurusan Matematika, FMIPA Universitas Negeri Padang

Author-ID : 5414925

Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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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

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

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

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

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

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

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

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

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

Faktor yang Mempengaruhi Kualitas IPK Mahasiswa di Jurusan Matematika FMIPA UNP Menggunakan Regresi Logistik Prida Nova Sari; Yenni Kurniawati; Nonong Amalita
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Grade Point Academic (GPA) is a standard of university student academic achievement. In job competition, college graduates required to be more creative to develope their potential. GPA is one form of self-potential required by companies headhunter. The achievement of a high GPA is expected to facilitate the college graduates to get a job. The factors that affect GPA is why choose math major, college entrance, father’s occupation, mother’s occupation status, maintenance, residence condition, travel time to campus, length of study, completeness reference books, active organizationsi, and history of serious illness. If the dominant factor known, then GPA can be maximized. Therefore, formulation of the problem in research is how the logistic regression model to identify factors that affect the quality of GPA student majoring in Mathematics in State University of Padang. Factors affecting the quality of GPA student majoring in Mathematics in State University of Padangare father’s occupation, completeness reference books and history of serious illness.Keywords – GPA, Self-Potential, Logistic Regression Analysis.

Prediksi Persediaan Minyak Bumi Menggunakan Model Dinamis Distribusi Lag, Dinamis Autoregressive , dan Autoregressive Distribusi Hary Merdeka; Helma Helma; Yenni Kurniawati
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Energy security is the availability of energy sources that are not disconnected at an affordable price. Problems that occur in energy security in Indonesia is an imbalance in the production of petroleum consumption in Indonesia. Therefore the aim of this study to predict the oil supplies for several years later. Based on the results obtained from the model distribution autoregressive lag model . a petroleum supplies, petroleum consumption in the two previous periods, and oil production earlier period. From the model can be predicted that oil supplies in 2014 and 2015 respectively amounting to 3.112.002 and 3.335.348 terajoule. This model depicts the predictions of inventory that is influenced by petroleum consumption in the two previous periods and production of petroleum in the previous period amounted to 98.28%. Keywords – Energy security, lag distributiondynamic models, dynamicautoregressive, distribution autoregressive lag, ARDL.

Co-Authors Abdullah Herman Admi Salma Afifa Lufti Insani Ahmad, Nur Jahan AL Rezki Ivansyah Alya Aufa, Wafiq Amelia Susrifalah Anang Kurnia Anggara, Rudi Anggi Adrian Danis Anita Fadila Annisa Ramadhani Annisa Rizki Amalia Aprotama, Celsy Ardhi, Sonia Ardiyatul Putri Arnellis Arnellis arrahmi, nailul Atus Amadi Putra Aulia, Yuke Aurumnisva Faturrahmi Berliana Nofriadi Bimbim Oktaviandi Celsy Aprotama Chairina Wirdiastuti Cindy Caterine Yolanda Darwas Deska Warita Devi Yopita Sipayung Dewi Murni Dewi, Sari Tirta dhea afrila harelvi Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Diva Diva Aliyah Diyanti, Wafika Rahma Djamaluddin, Safrijal Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Fachri Dermawan Fadhil Irsyad, Muhammad Fadhilah Fitri Fadzliana, Nanda Fahmi Amri, Fahmi Fashihullisan Fatimah Depi Susanty Harahap Fayyadh Ghaly Fayza Annisa Febrianti Febi Febiola Putri Fitri, Fadhilah Fitri, Fitri Hayati fitri, silfia wisa Ghaly, Fayyadh Hadiyanti Riskha Handayani, Laras Dyaz Harpidna, Riska Harpidna Hary Merdeka Helma Helma Helma Helma Hendrawan, Muhammad Hendri, Jhon Ihsan Dermawan Irwan Irwan Khairani, Putri Rahmatun Kusman Sadik Lina, Ejma Rukma Lutfian Almash M Fathoni Arnas Manja Danova Putri Marvero, Andre Maya Ifra Shobia Meira Parma Dewi Minora Longgom Nasution Muhammad Arief Rivano Muhammad Fadhil Aditya Aditya Mujakir Mujakir Mukhti, Tessy Octavia Mulyani, Suci NA Mentacem Nabillah, Marwana Natasya Dwi Ovalingga, natasyalinggaa Nonong Amalita Oktaviani, Bernadita Permana, Dony permana, yazid Prida Nova Sari Putra, Dio Afdal Putri Amalia Azzahra Putri Yeni, Dicha Putri, Fadhira Vitasha Putri, Rihani Himtari Rahma, Dzakyyah rahmad revi fadillah Rahmah, Ati Rahmawati, Santri Ramadani, Dea refelita, fitri Revina Rahmadani Riady, AD Rizkiah, Niswatul Ronald Rinaldo Rosa Salsabila Azarine Rosya, Aljeneri Safitri, Natasya S. Salma, Admi Sari, Ceria Purnama Sari, Nurhikmah Sasmita, Riza Sepniza Nasywa Septrina Kiki Arisandi Siregar, Erlina Azmi Siskha Maulana Basrul SRI RAHAYU Sri Wahyuni Suci Rahmadani Susrifalah, Amelia Syafriandi Syafriandi Syafriandi Syafriandi Tessy Octavia Mukhti Tsani, Nahda Maesya Wimmi Sartika Windi Dwi Saputra yenti, elvi Yunistika Ilanda Zamahsary Martha Zilrahmi, Zilrahmi

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