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Logit And Complementary Log-Log Modeling (Case Study: Factors Influencing Birth Control Use in Papua 2017) Sasmita, Riza; Yenni Kurniawati; Sri Wahyuni; Celsy Aprotama
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/358

Abstract

Research was conducted to determine the factors that influence the use of family planning in Papua Province in 2017. Indonesia has the 4th largest total population in the world, facing the challenge of a fairly high and uncontrolled population growth rate, which can have an impact on the welfare of the community, especially Papua Province. This study used secondary data from the 2017 SDKI. The population of this study was all women of childbearing age in the province of Papua. The research was conducted using logit logistic regression and cloglog logistic regression methods and took the best model to analyze the factors affecting family planning use in Papua Province. The results showed that the cloglog logistic regression model proved to be the best model based on AIC and accuracy. The accuracy of this cloglog logistic regression model is 78.54%. With the results of the cloglog logistic regression analysis, it was found that there was a relationship between region of residence, husband's education, and wife's education. The odds of a woman who has a husband with more than a junior high school education having an unmet need for family planning is 1.688 times higher than a woman who has a husband with less than a junior high school education. The odds of a woman with a junior high school education or above having an unmet need for family planning is 0.496 times higher than a woman with less than a junior high school education.
Analysis of MSMEs Growth Post Pandemi Covid-19 in Medan Sasmita, Riza; Batubara, Chuzaimah; Kamilah, Kamilah
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 6, No 2 (2022): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v7i1.8249

Abstract

The purpose of this research is to determine the impact of the COVID-19 pandemic on small and medium-sized enterprises (SMEs) in the city of Medan, as well as solutions and measures to improve SMEs after the pandemic. This investigation employs a descriptive qualitative case study methodology. Documentary research, interviews, observations, and the distribution of questionnaires were used in this study to acquire data from Medan City MSME managers. The data analysis employed is a qualitative-interactive analysis comprised of three concurrent strands of activity: data reduction, data presentation, and conclusion. This study demonstrates the effects of COVID-19 on the development of small and medium-sized enterprises in Medan. In 2018, there were 1,664 MSMEs; in 2019, there will be 1,072. In 2019, the number of MSMEs in Medan City decreased by 594, or 34.5%, because COVID-19 affected all industries, including MSMEs. There were 1,040 MSMEs in 2020. This year, the number of small and medium-sized enterprises (SMEs) in Medan City decreased by 32, or 0.2%, due to the continued prevalence of the COVID-19 virus. There will be 1,179 SMEs in 2021. In 2021, the number of small and medium-sized enterprises will increase by 139, or 14.0%. Faced with the ongoing COVID-19 pandemic, small and medium-sized businesses (SMBs) in Medan City are innovating their product marketing, particularly through the use of digital marketing.