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All Journal Media Statistika Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) JURNAL EKSAKTA PENDIDIKAN (JEP) Eksakta : Berkala Ilmiah Bidang MIPA Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika Journal of Mathematics UNP UNP Journal of Statistics and Data Science

Yenni Kurniawati

Jurusan Matematika, FMIPA Universitas Negeri Padang

Author-ID : 5414925

Agriculture, Biological Sciences & Forestry Astronomy 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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Upaya Peningkatan Kemampuan Analisis Data Penelitian Menggunakan Software Statistik Bagi Guru-Guru Matematika SMA Kabupaten Pesisir Selatan Syafriandi, Syafriandi; Amalita, Nonong; Kurniawati, Yenni
JURNAL EKSAKTA PENDIDIKAN (JEP) Vol 2 No 1 (2018): JEP : Jurnal Eksakta Pendidikan
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Scientific publication is one of teacherâs duty to increase their rank, form III/b to III/c. Base on interview with Senior High School teachers at Pesisir Selatan regency, we know that difficult for them to produce scientific publication caused by their ability on choosing data analysis technique which relevant to their case, teachers cannot use the statistical software because its not familiar for them, and they have low quality in interpreting data analysis result. To solve the problems, we offer a workshop of data analysis on scientific writing using statistical software. The target audiences of this workshop is a Group of Teachers on Mathematics Major (MGMP) in Pesisir Selatan. In this workshop, participants are given the basic concept and how to write a scientific writing, basic concept of statistics, and introduction to statistical software i.e. Minitab and SPSS. Beside that, with practical work, the participants learn how to use statistical software and interpretate the data analysis result. Result of the workshops are (1) increasing the ability of participants skills on analysis the data using statistical software and interpretate it.

A COMPARISON OF POLYTOMOUS MODEL WITH PROPORTIONAL ODDS AND NON-PROPORTIONAL ODDS MODEL ON BIRTH SIZE CASE IN INDONESIA Kurniawati, Yenni; Kurnia, Anang; Sadik, Kusman
MEDIA STATISTIKA Vol 14, No 1 (2021): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.14.1.79-88

The proportional odds model (POM) and the non-proportional odds model (NPOM) are very useful in ordinal modeling. However, the proportional odds assumption is often violated in practice. In this paper, the non-proportional odds model is chosen as an alternative model when the proportional odds assumption is not violated. This paper aims to compare Proportional Odds Model (POM) and Non-Proportional Odds Model (NPOM) in cases of birth size in Indonesia based on the 2017 Indonesian Demographic and Health Survey (IDHS) data. The results showed that in the POM there was a violation of the proportional odds assumption, so the alternative NPOM model was used. NPOM had better use than POM. The goodness of fit shows that the deviance test failed to reject H0, and the value of Mac Fadden R2 is higher than POM. The risk factors that have a significant influence on all categories of birth size are the residence and gender of the child.

Workshop on Using Microsoft Excel for Processing Student’s Mark for Primary School’s Teacher Meira Parma Dewi; Yenni Kurniawati
Pelita Eksakta Vol 1 No 1 (2018): Pelita Eksakta Vol. 1 No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol1-iss1/14

Selama ini dalam mengolah nilai siswa menggunakan cara manual mengakibatkan pekerjaan menjadi sulit dan tidak efisien dalam waktu. Dalam penggunaan program Microsoft Office Excel ini diharapkan mampu memberikan kemudahan dalam menghitung ataupun mengolah nilai rapor siswa, baik untuk bapak dan ibu guru maupun wali kelas. Dalam penggunaan program Office Excel ini maka bapak dan ibu guru serta wali kelas menjadi mudah dalam mengolah nilai setiap mata pelajaran tanpa harus menunggu bantuan dalam pengolahan nilai. Diadakannya pelatihan ini maka bapak dan ibu guru di SDN 16 AIR TAWAR TIMUR PADANG terampil dalam mengoperasikan salah satu program aplikasi yaitu Microsoft Office Excel dalam menghitung nilai siswa ataupun pengolahan yang digunakan untuk nilai rapor.

PENERAPAN IMPORTANCE PERFORMANCE ANALYSIS DALAM MENILAI KEPUASAAN STAKEHOLDER TERHADAP KINERJA PKL MAHASISWA D3 STATISTIKA Yenni Kurniawati; Nonong Amalita; Syafriandi Syafriandi
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 18 No. 01 (2017): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Upaya Peningkatan Kemampuan Analisis Data Penelitian Menggunakan Software Statistik Bagi Guru-Guru Matematika SMA Kabupaten Pesisir Selatan Syafriandi Syafriandi; Nonong Amalita; Yenni Kurniawati
JURNAL EKSAKTA PENDIDIKAN (JEP) Vol 2 No 1 (2018): JEP : Jurnal Eksakta Pendidikan
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jep/vol2-iss1/61

Scientific publication is one of teacher’s duty to increase their rank, form III/b to III/c. Base on interview with Senior High School teachers at Pesisir Selatan regency, we know that difficult for them to produce scientific publication caused by their ability on choosing data analysis technique which relevant to their case, teachers cannot use the statistical software because its not familiar for them, and they have low quality in interpreting data analysis result. To solve the problems, we offer a workshop of data analysis on scientific writing using statistical software. The target audiences of this workshop is a Group of Teachers on Mathematics Major (MGMP) in Pesisir Selatan. In this workshop, participants are given the basic concept and how to write a scientific writing, basic concept of statistics, and introduction to statistical software i.e. Minitab and SPSS. Beside that, with practical work, the participants learn how to use statistical software and interpretate the data analysis result. Result of the workshops are (1) increasing the ability of participants skills on analysis the data using statistical software and interpretate it.

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

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

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

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.

Co-Authors Afifa Lufti Insani AL Rezki Ivansyah Amelia Susrifalah Anang Kurnia Andre Marvero Anggi Adrian Danis Anjelisni, Nining Annisa Rizki Amalia Arnellis Arnellis Atus Amadi Putra Aulia, Yuke Aurumnisva Faturrahmi Cindy Caterine Yolanda Deska Warita Dewi Murni dhea afrila harelvi Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Fadhilah Fitri Fahmi Amri Fashihullisan Fayyadh Ghaly Fayza Annisa Febrianti Febi Febiola Putri Fitri, Fadhilah Hadiyanti Riskha Hary Merdeka Helma Helma Helma Helma Ihsan Dermawan Imran, Musthafa Irwan Irwan Khairani, Putri Rahmatun Khairisa Putri, Nadya Kusman Sadik Lutfian Almash M Fathoni Arnas Manja Danova Putri Meira Parma Dewi Minora Longgom Nasution Muhammad Fadhil Aditya Aditya Muhammad Fadhil Irsyad NA Mentacem Nofriadi, Berliana Nonong Amalita Oktaviani, Bernadita Permana, Dony Prida Nova Sari rahmad revi fadillah Salma, Admi Siskha Maulana Basrul Syafriandi Syafriandi Syafriandi Syafriandi Tessy Octavia Mukhti Tessy Octavia Mukhti Wimmi Sartika Yunistika Ilanda Zamahsary Martha Zilrahmi, Zilrahmi

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