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Journal : Journal of Mathematics UNP

Analisis Regresi Logistik Biner pada Faktor-faktor yang Mempengaruhi Kesediaan Masyarakat Nagari Paninjauan untuk Divaksinasi Covid-19 Febrianti Febrianti; Helma Helma
Journal of Mathematics UNP Vol 8, No 1 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i1.13376

Abstract

The Covid-19 vaccination rate in Nagari Paninjauan, Agam Regency is still relatively low. Some of the factors that cause it include congenital diseases, fear of side effects, effectiveness of vaccines, and halalness of vaccines. The purpose of this study was to identify the factors that influence people's willingness to be vaccinated. The population in this study amounted to 500 respondents. The sample in this study amounted to 83 respondents obtained using the Cluster Random Sampling method. The community's willingness to be vaccinated against covid-19 as a variable (Y) and science (X_1), worries(X_2 ), hoaxes (X_3), application of health protocols (X_4), profession (X_5), coercion for work (X_6), age (X_7),  gender (X_8) as the independent variable in the model fit. The results showed that the binary logistic regression model which is π(x)=(exp (-17,171+2,760x_1-2,813x_3+3,778x_7+3,546x_8 ))/(1+exp⁡((-17,171+2,760x_1-2,813x_3+3,778x_7+3,546x_8 )), where science, hoaxes, age, and gender have a significant effect on people's willingness to be vaccinated against covid-19..
Analisis Regresi Linear Berganda Untuk Melihat Faktor Yang Berpengaruh Terhadap Kemiskinan di Provinsi Sumatera Barat Rahmadani Agung Prasetyo; Helma Helma
Journal of Mathematics UNP Vol 7, No 2 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (212.442 KB) | DOI: 10.24036/unpjomath.v7i2.12777

Abstract

Poverty was one of the sources of problems that indirectly affect development, followed by the problem of unemployment and interrelated inequalities. Changes in the poor population are quite volatile at West Sumatra. This caused by many factors. This study goals to find out the factors that cause significant fluctuations in poverty at West Sumatra. The research was conducted using the concept of applied research which was opened with a literature study followed by data collection. The results of the study in the form of a model of certain things / events that have a significant influence on the poverty level of the research area obtained through multiple linear regression analysis are :y ̂=203399+0,05178x_1-1040x_4+815x_6Thus, the factors that significantly affect the poverty level of the study area are population (x_1), human development index (x_4) and life expectancy (x_6) with an error rate of 5%.ABSTRAK (10 PT)
Analisis Profil dan Penerapannya Pada Suatu Telaah Produksi Kapulaga di Sumatera Barat Zainuriadi Zainuriadi; Helma Helma
Journal of Mathematics UNP Vol 8, No 1 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i1.12882

Abstract

Cardamom is one of the potential commodities in the international market. Cardamom is a valuable spice plant that can be used in various ways, where the price of dried cardamom is among Rp.90,000 to Rp.110,000 per kilogram. According to horticultural fixed figures, the harvested area of cardamom increased to 857,190 hectares in 2000-2006 and then decreased to 541,290 hectares from 2007-2010.Therefore, a comparison of productive land area with the amount of cardamom production in West Sumatra is needed using profile analysis. The profile analysis compared the average land area values of cardamom production and production using parallel tests, squeezed tests and level tests. The results obtained are the average area of productive land and the amount of production in the districts of Padang Pariaman, Agam, Lima Puluh Kota, Pasaman, West Pasaman, Padang City, Padang Panjang, Bukit Tinggi and Payakumbuh aligned, squeezed and level, so it can be said that the use of productive land in the area is optimal.
Analisis Pengendalian Persedaa Kayu dengan Metode Economic Order Quantity (EOQ) di PT. Sumber Tata Citra Mandiri (STCM) Mega Nurhalizah; Helma Helma
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 (292.826 KB) | DOI: 10.24036/unpjomath.v7i3.12987

Abstract

Inventory control of raw materials is one of the primary factors that should be conveyed out by a company. The main goal of a company is to get a high profit by minimizing the cost of the production process. PT. Sumber Tata Citra Mandiri is a manufacturing company that produces plywood. To find out the optimal wood inventory control at PT. Sumber Tata Citra Mandiri, one of the methods used is Economic Order Quantity (EOQ). In view of  results of the study, it was found that the optimal supply of wood in 2021 is 3401.34 m3 with a request recurrence of multiple times in a single year, safety stock is 476.80 m3, and the company makes reorder points at an inventory level of 1319.93 m3 and total the cost of wood supplies according to company policy is Rp. 789.593.600 while the EOQ method is Rp. 544.214.614 so that a savings of Rp. 245.378.986 of the cost of wood supplies according to PT. Sumber Tata Citra Mandiri and companies can consider using the EOQ method in controlling their raw material inventory.
Analisis Faktor-faktor yang Mempengaruhi Jumlah Kelahiran di Jorong Ngungun Menggunakan Analisis Diskriminan Rahmi Biuty Riva Hani; Helma Helma
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 (589.961 KB) | DOI: 10.24036/unpjomath.v6i3.11924

Abstract

Birth is one of the factors causing the increase in population. The high number of births will lead to uncontrolled economic growth of the country so that many people experience poverty. The purpose of this study was to determine the shape of the discriminant equation and the factors that most influence the number of births in Jorong Ngungun by using discriminant analysis. The data analysis carried out is to determine the correlation between variables, perform principal component analysis, perform cluster analysis, form discriminant analysis equations, test the significance of the discriminant function, test the independent variables that distinguish groups, test the validity of discriminant analysis, and interpret the results of the analysis. Based on the research, the independent variables that most influence the number of births in Jorong Ngungun are the number of family members in one family card and the amount of income in one month.
Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Gender (IPG) Provinsi Sumatera Barat Menggunakan Analisis Regresi Data Panel Ira Elisa; Helma Helma
Journal of Mathematics UNP Vol 7, No 2 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.385 KB) | DOI: 10.24036/unpjomath.v7i2.12666

Abstract

Gender differences are closely related to human development. Where gender is not the main determinant to achieve gender equality in human development which is the main focus in this regard. An index that is used to measure human success in seeing disparities that occur based on gender is often referred to as the Gender Development Index (GDI). The important objective of this research is to form a model that best describes the factors that have the most significant influence on the Gender Development Index (GDI) of West Sumatra Province in 2017-2020 with panel data regression analysis. At the significance level of 5% the factors that have a significant effect are the average length of schooling and at the significance level of 15% the factors that have a significant effect are the expectation of school years and the level of labor force participation rate.
PEMODELAN CONTRACEPTIVE PREVALENCE RATE (CPR) DI SUMATERA BARAT MENGGUNAKAN PENDEKATAN REGRESI NONPARAMETRIK SPLINE Jihad Lillah; Helma Helma
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 (1100.188 KB) | DOI: 10.24036/unpjomath.v6i3.11936

Abstract

This study aims to identify the factors that influence the percentage of CPR and to model the pattern of the relationship between CPR and the factors thought to influence it using a nonparametric spline regression approach. The spline regression used has an optimum knot point with a minimum CGV value of three knot points. Based on the results of parameter testing, it is known that the factors that affect the percentage of CPR are the percentage of the poor people, the percentage of women aged 15 years and over with the highest education being small from junior high school, the percentage of women aged 15 years and over who are included in the workforce and the percentage of the number of family planning service posts. This nonparametric spline regression model has a coefficient of determination (R2) is  96.14%.
Bootstrap Aggregating Multivariate Adaptive Regression Splines (Bagging MARS) dan Penerapannya pada Pemodelan Produk Domestik Regional Bruto (PDRB) di Provinsi Sumatera Barat Tika Mijayanti; Helma Helma
Journal of Mathematics UNP Vol 6, No 4 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.957 KB) | DOI: 10.24036/unpjomath.v6i4.12233

Abstract

Increased economic growth can help a region's economy grow and demonstrate that the government is capable of improving the welfare of its citizens. The rate of economic growth may be measured by gross regional domestic product (GRDP). This look at turned into performedto decide the factors that maximum effect GDRBinside the province of West Sumatera from 2015 to 2019 using Bootstrap Aggregating Multivariate Adaptive Regression Splines (Bagging MARS). The best model with the lowest GCV value is 7,36868 with BF=8, MI=3 and MO=0 as a combination. Then Bagging was carried out on the initial dataset with 50 Bootstrap replications to obtain the smallest GCV of 5,256292. Based on this, the smallest GCV value obtained from Bagging MARS is smaller than the MARS method. Meaning that the Bagging method can lessen the GCV value and increase accuracy. So that the factors that maximum influence GRDP in the province of West Sumatera are Regional Original Income.
Pengelompokan Jumlah Kecelakaan Lalu Lintas di Padang Menggunakan Analisis Cluster dengan Metode Non-Hirarki (K-Means) Tiara Angela Hanami; Helma Helma
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14491

Abstract

Traffic Accidents in August and July 2016. Traffic accidents in West Sumatra Province, especially in Padang City, are relatively high. Based on data from the Central Statistics Agency of Padang City, the number of traffic accident cases has increased from 2016-2021. This study aims to make a pattern in recognizing the characteristics of traffic accidents in the Padang City to minimize the increase in the frequency of accidents in the following year. This type of research is applied research. The result showed that optimizing clusters using the elbow method produced 4 clusters with categories: the first cluster included relatively high traffic accidents in 2021; the second cluster includes groups that have relatively moderate numbers in 2018 and cause material losses in 2021; the third cluster is relatively low, namely material losses in 2016 and 2018; the fourth cluster of very low traffic accidents in July and August 2016.