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Journal : Sinkron : Jurnal dan Penelitian Teknik Informatika

E-Voting Optimization For Head Of Community Unit (RW) Election with WAPT Testing Samudi, Samudi; Brawijaya, Herlambang; Widodo, Slamet
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.581 KB) | DOI: 10.33395/sinkron.v3i2.10057

Abstract

This conventional election has several weaknesses, including difficulties in determining the validity of ballots, the process of counting ballots is slow. From the above problems, the authors propose to design and build a system to carry out elections using information technology called Electronic Voting. The method in this study uses the waterfall method which consists of the stages of needs Communication, Planning, Modeling, Construction, dan Deployment. The results of this study are to produce elections held with the District E-Voting.
The K-Medoids Clustering Method for Learning Applications during the COVID-19 Pandemic Samudi, Samudi; Widodo, Slamet; Brawijaya, Herlambang
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10649

Abstract

A disease that is currently widespread today is caused by the spread of the coronavirus disease or what is commonly called COVID 19. This virus is very dangerous to health because it attacks organs in the human body from various sources, either from the air or direct touch. With the existence of COVID 19, it has an impact on all countries, especially the State of Indonesia, which consists of various islands, which are also affected by the COVID 19 virus. So that the central government takes a policy to carry out social distancing to every one to break the chain of spreading this virus, with this social distancing it has an impact on all activities that occur every day. As an impact on the learning process that usually takes place in class, it turns into online learning that uses several supporting applications in the learning process during the COVID 19 pandemic. With online learning from various applications, it attracts researchers to research with the K-Medoid Clustering Algorithm in using applications during the pandemic COVID 19.