IMPLEMENTATION OF K-MEANS ALGORITHM FOR CLUSTERING OF COVID-19 VACCINATION IN EAST JAVA WITH ORANGE

نویسندگان

چکیده

Entering the era of Covid-19 pandemic, government has intensively implemented a vaccination program to date. The aims boost immune system, reduce risk transmission, and severe impact virus achieve group immunity. In its implementation, is regulated by regional in each province with policy that requires be vaccinated twice for everyone who meets certain criteria. This study cluster implementation all areas East Java 2021. method used conducting this clustering K-Means algorithm. From results study, division or regions into three clusters were C1 area lowest vaccination, namely Pasuruan Regency, C2 moderate Kediri City, C3 highest area, Surabaya City. obtained based on algorithm can as input Provincial evaluating vaccination.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm

Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...

متن کامل

An Improved K-Means with Artificial Bee Colony Algorithm for Clustering Crimes

Crime detection is one of the major issues in the field of criminology. In fact, criminology includes knowing the details of a crime and its intangible relations with the offender. In spite of the enormous amount of data on offenses and offenders, and the complex and intangible semantic relationships between this information, criminology has become one of the most important areas in the field o...

متن کامل

Ranking and Clustering Iranian Provinces Based on COVID-19 Spread: K-Means Cluster Analysis

Introduction: The Coronavirus has crossed geographical borders. This study was performed to rank and cluster Iranian provinces based on coronavirus disease (COVID-19) recorded cases from February 19 to March 22, 2020. Materials and Methods: This cross-sectional study was conducted in 31 provinces of Iran using the daily number of confirmed cases. Cumulative Frequency (CF) and Adjusted CF (ACF)...

متن کامل

Enhanced Clustering Based on K-means Clustering Algorithm and Proposed Genetic Algorithm with K-means Clustering

-In this paper targeted a variety of techniques, tactics and distinctive areas of the studies that are useful and marked because the crucial discipline of information mining technologies. The overall purpose of the system of statistics mining is to extract beneficial facts from a large set of information and changing it right into a shape that is comprehensible for in addition use. Clustering i...

متن کامل

Parallel Implementation of Genetic Algorithm using K-Means Clustering

-----------------------------------------------------------------ABSTRACT-------------------------------------------------------The existing clustering algorithm has a sequential execution of the data. The speed of the execution is very less and more time is taken for the execution of a single data. A new algorithm Parallel Implementation of Genetic Algorithm using KMeans Clustering (PIGAKM) is...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal Riset Informatika

سال: 2022

ISSN: ['2656-1735', '2656-1743']

DOI: https://doi.org/10.34288/jri.v4i3.401