PENERAPAN ALGORITMA K-MEANS PADA CLUSTERING VAKSINASI COVID-19 DAERAH JAWA TIMUR

MICHAEL SITORUS; CORNELIA ANTONIETA .DC.; CYNTIA LARASATI

Michael Sitorus Institut Teknologi dan Bisnis Bank Rakyat Indonesia http://orcid.org/0000-0002-4408-4280
Cornelia Antonieta.DC. Institut Teknologi dan Bisnis Bank Rakyat Indonesia http://orcid.org/0000-0002-5046-6103
Cyntia Larasti Institut Teknologi dan Bisnis Bank Rakyat Indonesia http://orcid.org/0000-0001-7328-9739

Keywords: covid-19, Vaccination, Cluster, K-Means

Abstract

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

Downloads

Download data is not yet available.

Author Biographies

Michael Sitorus, Institut Teknologi dan Bisnis Bank Rakyat Indonesia

Michael Sitorus is a descendant of the Batak tribe from Indonesia. He was born in Medan City. He has a computer science education background. He has already completed his Master's Degree Computer Science. He has experienced teaching at several well known universities in Jakarta-Indonesia, such as University of Indonesia, BRI Institute, Poltekkes Ministry of Health Jakarta 1, and University of Satya Negara Indonesia. He is also an IT & Business Digital Expert who experience working in industry Digital Business Technology and as a consultant IT since 2017. He also has the Best Moderator Award by the Indonesian Ministry of Cooperatives and Small & Medium Enterprises / Best Moderator in 2021. In addition, Global Chatbot Competition (GCC) For Digital Business by Vocational University of Indonesia (UI) and AI4IMPACT - QERA / 2nd Place & Favorite 1 – 2 in 2021, and Chatbots Finance Datathon (Indonesia - Online Competition) by Business Indonesia - Singapore Association (BISA) & AI4IMPACT 1st Place, 2, and 3 in 2020. He has also been awarded the Best Lecturer Category with the Most Teaching Materials by the BRI Innovate Awards 2020 / Best Lecturer. Currently still active as a Lecturer, Consultant, and Master Trainer at the Ministry of Communication and Information of the Republic of Indonesia (KOMINFO).

Cornelia Antonieta.DC., Institut Teknologi dan Bisnis Bank Rakyat Indonesia

Cornelia Antonieta, DC. is an undergraduate student in Information Systems (Digital Banking) at BRI Institute who received a full scholarship from the Aliansi Peguruan Tinggi BUMN (APERTI BUMN) for her study period.

Her interest in public speaking, UI/UX, and social media has made Cornelia active as a speaker in several webinars, participating in UI/UX competitions, and participating in several volunteering activities as a social media management team or social media ambassador during her studies. So that he received an award as an Outstanding Student (MAPRES) BRI Institute 2021 and became a representative of BRI Institute in the Selection of Outstanding Student (MAPRES) LLDIKTI III DKI Jakarta 2021.

Cyntia Larasti, Institut Teknologi dan Bisnis Bank Rakyat Indonesia

Cyntia Larasati is an undergraduate student in Information Systems (Digital Banking) at BRI Institute.

Interested in UI/UX and business makes Cyntia active in several UI/UX and Business Model Canvas Competitions.
Not only that, he also actively joins several volunteers. He has been awarded the top 500 teams in the Indonesia Digital Tribe, Runner Up, and the Best Innovation UI/UX Competition at Hology 4.0.