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All Journal RAGAM: Journal of Statistics and Its Application
Dewi Anggraini
Universitas Lambung Mangkurat
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health

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Journal : RAGAM: Journal of Statistics and Its Application

 1 
PENERAPAN MANOVA DALAM ANALISIS HUBUNGAN ANTARA LUAS WILAYAH DENGAN CAKUPAN VAKSINASI COVID-19 DI PROVINSI KALIMANTAN SELATAN Muhammad Fadhil Rasyidin; Dewi Anggraini; Hidayatullah Muttaqin
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11331

Abstract

In Indonesia, the problem with the spread of COVID-19 is 1.35 million with 1.17 million recovered and 36,721 deaths as of March 5, 2021. From the data on the spread of COVID-19, it can be seen from the length of time that has passed, the number of cases has increased. Sinovac (CoronaVac) is a vaccine for COVID-19 produced by the Sinovac company, using inactivated virus technology or utilizing attenuated viruses. The coverage of vaccines for dose 1 and dose 2 in South Kalimantan Province is low compared to other provinces, even though South Kalimantan Province is a province that is classified as having the smallest area among other provinces included in Kalimantan Island. The purpose of the study was to find out the relationship between area and coverage of COVID-19 vaccination in South Kalimantan Province. This study uses One-Way Manova because it analyzes one predictor variable, in the form of area and three response variables simultaneously, in the form of COVID-19 vaccination coverage based on the vaccination target category: health human resources, public officers and the elderly. The results of the study using the One-Way MANOVA method showed the Pillai's Trace value of 0.020. The results of the multivariate significance test obtained by Wilk's Lambda   so that it rejects  which means that the significant model or area () has an influence on vaccination coverage (). Based on alleged multivariate regression model and the results of the MANOVA test, both are directly proportional, namely there is a significant relationship that area area has an influence on COVID-19 vaccination coverage. Large areas have vaccination coverage that tends to be low when compared to small areas. Vaccination distribution for a small area can be said to be more efficient than other broad categories and for elderly vaccine recipients, it is lower than the category of vaccine recipients for public officials and health human resources
ANALISIS FAKTOR UNTUK PEMBENTUKAN INDEKS KESEHATAN IBU DI PROVINSI KALIMANTAN SELATAN Noorsa'adah Noorsa'adah; Nur Salam; Dewi Anggraini
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11489

Abstract

Maternal health is an important health problem because mothers are the printers of the next generation. Maternal health can describe the quality of the child to be born, so maternal health is very important to pay attention to. In Indonesia, the government has made various efforts to improve maternal health, which is still far from being expected. In this improvement effort, it is necessary to have a measure that can be used to monitor and evaluate the health development carried out, especially in the Province of South Kalimantan. Therefore, this study aims to establish a measure that can be used to describe maternal health through a composite index approach. The formation of the composite index is carried out using a technique offered by the Organization for Economic Co-Operation and Development (OECD), namely using factor analysis. Factor analysis was conducted to reduce indicators that were not significant in describing maternal health. Furthermore, the composite index formed is used to group districts/cities to make it easier to set priorities for maternal health development in South Kalimantan Province. Based on factor analysis results, the final indicators used to form the maternal health index amounted to 24 of the 30 initial indicators. After that, from the formation of the maternal health index using the composite index, it was found that the best maternal health was dominated by the cities of Banjarbaru and Banjarmasin. Meanwhile, the worst maternal health index is in Hulu Sungai Selatan District. Keywords:  Maternal Health , Composite Index, Factor Analysis.
Co-Authors Hidayatullah Muttaqin Muhammad Fadhil Rasyidin Noorsa'adah Noorsa'adah Nur Salam