Antonieta DC, Cornelia
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PERANCANGAN SISTEM PEMILIHAN KETUA BEM (BADAN EKSEKUTIF MAHASISWA) BERBASIS E-VOTING DENGAN METODE CRUD SEBAGAI DIGITALISASI ORGANISASI DI BRI INSTITUTE Sitorus, Michael; Antonieta DC, Cornelia
Infotech: Journal of Technology Information Vol 7, No 2 (2021): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i2.122

Abstract

Entering the digital era and the rapid development of technology, the existence of technology is now increasingly advanced and affordable to make it easier for humans to carry out various activities. Now humans can be helped well in carrying out various activities such as selecting the Chairperson of the Student Executive Board (BEM) using e-voting. The problem in this research is that the election of the head of the BEM still uses a simple information delivery medium, namely in the form of sheets of paper for sending the vision and mission and also for selecting candidates. This of course becomes less than optimal and less efficient, especially in the Covid-19 pandemic situation which requires 98 percent of universities to implement distance learning. The purpose of this research is to create an E-Voting-Based BEM Chair Election system using the PHP programming language and MySql database. The method used is Create, Read, Update, Delete (CRUD). As a result, this system will help universities to realize organizational digitization, especially at BRI Institute as a technology and business-based university.
IMPLEMENTATION OF K-MEANS ALGORITHM FOR CLUSTERING OF COVID-19 VACCINATION IN EAST JAVA WITH ORANGE Sitorus, Michael; Antonieta DC, Cornelia; Larasati, Cyntia
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.827 KB) | DOI: 10.34288/jri.v4i3.188

Abstract

Entering the era of the Covid-19 pandemic, the government has intensively implemented a vaccination program until now. Covid-19 vaccination programs are implemented to strengthen the immune system, reduce the risk of infection, reduce the severe effects of the virus, and achieve herd immunity. In the implementation, the Covid-19 vaccination is regulated by the regional government in each province with a policy that requires vaccinating Covid-19 twice for everyone with specific criteria supported by movements to wear masks, use hand sanitizers, and diligently wash hands and contact tracing of positive cases. This study aims to demographically cluster the implementation of vaccinations in all areas of East Java province in 2021. The method used in conducting this clustering is the K-Means algorithm using tools, namely Orange. 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.