Garuda - Garba Rujukan Digital

Regresi Probit dan Penerapannya pada Penentuan Faktor-faktor yang Mempengaruhi Kelulusan Mahasiswa pada Suatu Mata Kuliah (Suatu Studi Kasus pada Perkuliahan Analisis Real di Jurusan Matematika FMIPA UNP Selama Pembelajaran Daring) Sri Jelita Putri; Helma Helma
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract — Real Analysis is a course that emphasizes verification and skills in analyzing statements, so it becomes difficult for most students. With the online lecture system, the success of learning in this course will also has an impact on students. The purpose of this study was to determine the shape of the model, the factors that influence the student graduation, and the factors that have the greatest chance of graduating a student of the Mathematics Department of Mathematics and Natural Sciences in UNP in studying the Real Analysis course during online lecture using probit regression analysis. The data analysis used was the estimation of probit regression parameters, the significance test of the model using the G test, the significance test of the parameters using the Wald test, selecting the best model, interpreting the model and calculating the probability of passing students from the best model. Based on the research of the independent variables that affect the graduation of Mathematics Department students of Mathematics and Natural Sciences in UNP in studying Real Analysis courses during the implementation of online lecture is the background factor. Keywords — Probit Regression Analysis, Real Analysis, Student Graduation

Faktor-Faktor yang Mempengaruhi Produksi Jagung di Desa Kayu Gadang Menggunakan Analisis Regresi Linier Berganda Ceng Sri Yunita; Helma Helma; Minora Longgom Nasution
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract –The village of Kayu Gadang is one of the villages in the subdistrict of South PesisirRegency silk economy society resting on farming corn. But the community does not yet have enough information about the factors that affect corn production such as land area, the distance to the source of the water, the land length of the trunks, width and fertilizer so that cause less productive corn production results obtained community which is around 602,549 tonnes by 2015 that should more than 605,352 tons in 2014. Based on the above issues, then the formulation of the problem in this research are factors that affect the production of any corn in the village of Kayu Gadang SouthPesisirRegency. The purpose of this research is to know what a linear multiple regression model and the factors that affect the production of maize in the village of Kayu Gadang South Pesisir Regency. Keywords –kayu gadang, the production of corn, multiple linear regression analysis

Faktor Penyebab Penyakit Hipertensi di Klinik BALAD Kota Pariaman dengan Menggunakan Analisis Faktor Retno Zuliani Okta; Helma Helma
Journal of Mathematics UNP Vol 3, No 1 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract - This study discusses about the factors of causing hypertensive by using factor analysis methods in Clinic BALAD of Pariaman City. BALAD Clinic of Pariaman city cares for hypertension patients which always increases every year from 2015 until 2017. This study aims to determine the factors that cause hypertension at the BALAD Clinic including age, heredity, exercise, smoking, food and drink, and psychological. This type of research is applied research using primary data. The population in this study all patients who suffer from hypertension August 2017 - April 2018 in Clinical BALAD many as 170 people. Sampling with accidental sampling means that samples taken by chance encountered in the clinic BALAD. Based on the results of research known that the factors of causing hypertension in Clinic BALAD is a factor built by food and psychological variables and factors built by variables of descent and smoking.

Peramalan Jumlah Penumpang Kereta Api Indonesia (Persero) Divisi Regional II Sumatera Barat Menggunakan Metode ARIMA Tisa Revina Dewi; Helma Helma; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – PT. Kereta Api Indonesia (Persero) Regional Division II West Sumatera is currently facing the problem of carrying capacity that doesn’t meet the increasing passenger capacity. Therefore, will be made forecasting the number of train passengers for the future, so that the PT. Kereta Api can prepare the necessary facilities. The purpose of this study was to obtain a forecasting model and forecast the number of train passengers starting from the month of August 2015 until July 2016. The methods used are ARIMA method. After going through the stage of model identification, assessment and testing parameters, as well as the diagnostic phase, the obtained ARIMA(0,1,1)(0,1,1)12 as a suitable model for predicting the number of railway passengers with the model Yt = 243,6 + Yt-1 + Yt-12 –Yt-13 + et – 0,7689 et-1 – 0,8271 et-12 + (0,7689 x 0,8271) et-13 .Keywords – PT. Kereta Api, The Number of Passengers, Forecasting, ARIMA MethodAbstract – PT. Kereta Api Indonesia (Persero) Regional Division II West Sumatera is currently facing the problem of carrying capacity that doesn’t meet the increasing passenger capacity. Therefore, will be made forecasting the number of train passengers for the future, so that the PT. Kereta Api can prepare the necessary facilities. The purpose of this study was to obtain a forecasting model and forecast the number of train passengers starting from the month of August 2015 until July 2016. The methods used are ARIMA method. After going through the stage of model identification, assessment and testing parameters, as well as the diagnostic phase, the obtained ARIMA(0,1,1)(0,1,1)12 as a suitable model for predicting the number of railway passengers with the model Yt = 243,6 + Yt-1 + Yt-12 –Yt-13 + et – 0,7689 et-1 – 0,8271 et-12 + (0,7689 x 0,8271) et-13 . Keywords – PT. Kereta Api, The Number of Passengers, Forecasting, ARIMA Method

¬¬¬Pemodelan Matematika Penyebaran Penyakit Covid-19 dengan Menggunakan Model SIRS Maghfira Izzani Afwan; Helma Helma
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract — Covid-19 is a collection of viruses that infect the respiratory system and cause death. Covid-19 is transmitted through a liquid splash that is released when an infected individual coughs, sneezes or talks. Prevention of Covid-19 transmission can be done by not making contact with infected people, because there is a possibility that patients who have recovered from Covid-19 will be infected again due to a decreased immune system in the body. The purpose of this study was to determine the form of a mathematical model in the spread of the Covid-19 disease using the SIRS model and interpret the results of the analysis from the mathematical model. The method used is to analyze the conditions related to the problem so that it can be done to form a mathematical model of the spread of the Covid-19 disease. Based on the results of the analysis, the spread of the Covid-19 disease is influenced by the level of transmission due to contact with people infected with Covid-19, the presence of immigrants entering Indonesia from countries infected with the Covid-19 disease and a decreased immune system in people who are infected with Covid-19 has recovered from the Covid-19 disease.Keywords — Mathematical Model, SIRS Model, Covid-19Abstract — Covid-19 is a collection of viruses that infect the respiratory system and cause death. Covid-19 is transmitted through a liquid splash that is released when an infected individual coughs, sneezes or talks. Prevention of Covid-19 transmission can be done by not making contact with infected people, because there is a possibility that patients who have recovered from Covid-19 will be infected again due to a decreased immune system in the body. The purpose of this study was to determine the form of a mathematical model in the spread of the Covid-19 disease using the SIRS model and interpret the results of the analysis from the mathematical model. The method used is to analyze the conditions related to the problem so that it can be done to form a mathematical model of the spread of the Covid-19 disease. Based on the results of the analysis, the spread of the Covid-19 disease is influenced by the level of transmission due to contact with people infected with Covid-19, the presence of immigrants entering Indonesia from countries infected with the Covid-19 disease and a decreased immune system in people who are infected with Covid-19 has recovered from the Covid-19 disease. Keywords — Mathematical Model, SIRS Model, Covid-19

Faktor-Faktor yang Menyebabkan Obesitas Berisiko pada Mahasiswa Matematika FMIPA UNP Menggunakan Analisis Faktor Siska Novita Sari; Helma Helma; Muhammad Subhan
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract - Obesity is a disorder characterized by the accumulation of fat tissue in the body excessively. Obesity can happen to anyone, including students. Many impacts of diseases that can attack is coronary heart disease, diabetes mellitus, hypertension and other dangerous diseases. Objectives for the review identify factors causing obesity. This research is done student of studies program mathematics Faculty of Mathematics and Science (FMIPA) Department State University of Padang (UNP), data was collected through questionnaires deplopment with respondents as many 32 people were processed using factor analyze. From the analyze of the data can be obtained five new factors.Keywords - Factor analyze, Obesity, the impact of obesity diseaseAbstract-Obesity is a disorder characterized by the accumulation of fat tissue in the body excessively. Obesity can happen to anyone, including students. Many impacts of diseases that can attack is coronary heart disease, diabetes mellitus, hypertension and other dangerous diseases. Objectives for the review identify factors causing obesity. This research is done student of studies program mathematics Faculty of Mathematics and Science (FMIPA) Department State University of Padang (UNP),data was collected through questionnaires deplopment with respondents as many 32 people were processed using factor analyze. From the analyze of the data can be obtained five new factors. Keywords- Factor analyze, Obesity, the impact of obesity disease

Faktor-Faktor yang Mempengaruhi Meningkatnya Kadar Gula Darah Pasien di Klinik Fanisa Kota Pariaman dengan Menggunakan Analisis Faktor farah khamsatul hasanah; Helma Helma
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract—Diabetes mellitus type 2 is a type of diabetes mellitus that is commonly found. Diabetes mellitus type 2 is a threat to human health in indonesia and the world, one of them is Pariaman city, specially in Fanisa Clinic. People with diabetes mellitus in Fanisa Clinic have increased from to year. The purpose of this research is to find out the factors influence th increasing of diabetics sugar blood Fanisa Clinic in Pariaman city. In this research used primary data, where there were 70 questioners given to the diabetics mellitus type 2 in Fanisa Clinic. The data having been obtained were analyzed by using factor analysis. The result of this research from 6 variables as age (x1), body mass index (x2), food supply (x3), medication compliance (x4), physic activity (x5) and, stress (x6), 5 variable obtained an reduced be chance two factors. The first factor influence by age variable and physic activity, meanwhile second factor influence by body mass index ,food supply and medication compliance. Keywords—Diabetes Mellitus, Blood Sugar Level , Factor Analisys.

Pengaruh Volume Terhadap Harga Saham pada Trading Activities PT. BCA Tahun 2017 dengan Menggunakan Metode Theil Arshie Nur Aisyah; Helma Helma
Journal of Mathematics UNP Vol 3, No 2 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract− The relationship between the volume and stock price is used as a reference by investors in buying and selling stock. But many of the novice investors don’t know the relationship between stock prices and volumes, resulting in errors in conducting stock transactions. Research was conducted to see the effect of volume on stock prices by using the theil method to match the regression line. This study produced a regression model. The slope coefficient of the regression model, 95% will be between 11.92799 to 24.91132 and the determination coefficient is 0.99530761 which indicates that 99.53% of the volume can explain stock prices while the rest is influenced by other variables not included in the model.

Faktor-Faktor yang Menentukan Pendapatan Asli Daerah pProvinsi Sumatera Barat Menggunakan Analisis Regresi Data Panell cici amelia; helma helma
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract–Original Local Government Revenue(OLGR) is a component of regional financial resources collected under the laws and regulations in the area. It increased in each Regency / City of West Sumatra Province when 2008 to 2017, but may decreased in certain years. This research discusses about the factors that determine the Original Local Government Revenue(OLGR) of West Sumatra Province. The data used in this research obtained from the publication of the West Sumatra Central Bureau of Statistics (CBS) which supported by each Regency / City in 2008 to 2017. Results of the research that used regression analysis are data panel factor local tax (x2)(x2) and issued by the local government (x4) to be the most determining factor for OLGR in group I. Factors in population (x1), local tax (x2), regional retribution (x3) and local government (x4) are the most determining factors for OLGR in groups II. Local tax factor (x2), regional retribution (x3), local government (x4) and economic growth rate (x5) are the factors that most determine OLGR for group III. Keywords–OLGR, Panel Data Regression Analysis, Fixed Effect Model, Hausman Thest.

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.

Title

Found 10 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 10 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 10 Documents
Search