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All Journal International Journal of Global Operations Research Journal of Ageing And Family
Firdaus, Syahrul
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Health Professions Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health

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Continued Immunization By Mothers in Children Aged 18 Months Through the Role of Health Workers in Puskesmas Curug Kota Serang Firdaus, Syahrul; Purnawa, Rachmadi; Widiyaningsih, Cicilia
Journal of Ageing And Family Vol 3, No 1 (2023): Journal of Ageing And Family
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM Universitas Respati Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/joaf.v3i1.4151

Abstract

Background: Immunization is one of the most effective health interventions in the world and can save millions of lives. However, in the world there are still more than 19 million children who have not been vaccinated or whose vaccinations are incomplete so that it can cause these children to be very susceptible to disease risk, even though immunization will increase the child's immune system. The purpose of the study was to analyze and explain the influence of predisposing factors (knowledge, education, mother's occupation, husband's support and participation of health workers) on the provision of follow-up immunization to children aged 18 months at the Curug Health Center in Serang City in 2021. Methods: Using a quantitative approach with a cross sectional design. A sample of 101 respondents. Data analysis was carried out using univariate analysis, which describes the frequency distribution, bivariate analysis to determine the relationship between variables and multivariate analysis with linear regression analysis. The results of this study found that there was a relationship between knowledge, education, work, husband's support and communication and services of health workers with the provision of further immunization for children aged 18 months at the Curug Health Center in Serang City in 2021. The most dominant variables were the communication and service variables of health workers. It is hoped that the Curug Health Center can provide counseling or education about the importance of providing immunizations to patients, especially mothers who have toddlers on a regular basis. Keywords: Provision of follow-up immunization to children aged 18 months, knowledge, education, work, husband's support and communication and services.
Prediction Of Asteroid Hazard Distance Through Earth's Orbit Using K-Neirest Neighbor Method Firdaus, Syahrul; Witanti, Wina; Melina; Hadiana, Asep Id
International Journal of Global Operations Research Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i2.373

Abstract

The National Aeronautics and Space Administration (NASA) is the U.S. government agency that is responsible forspace program. NASA observes objects in space, including asteroids. Asteroids are small, rocky objects that orbit thesun with irregular shapes and are also called planetoids. The Government agencies observe space objects includingasteroids. In terms of the infinite number of objects in space that will cross Earth's orbit, prediction is needed todetermine the danger and its level when they are crossing Earth's orbit. Prediction is a process to know what willhappen in the future which is aimed to find out the approximate asteroids that will cross the earth in the future. In thisstudy, data mining classification techniques and the K-Nearest Neighbor algorithm are used to create a predictionsystem for the threat of asteroids while crossing the earth. Classification is a grouping by classifying items intodesignated class labels, building a classification model from the data set, building a model that is used to predict futuredata. To determine the distance of the asteroid's threat throughout the earth, data mining classification techniques andthe K-Nearest Neighbor algorithm are used. The results are 57.71% accuracy, 54.89% precision, 81.42% recall, and47.45% missclassification rate.
Co-Authors Hadiana, Asep Id Mastariyanto Perdana Melina Nurzal, Nurzal Purnawa, Rachmadi Rozi Saferi, Rozi Widiyaningsih, Cicilia Wina Witanti