Authors :
Bandung Prihanto; Catherine Olivia Sereati; Maria A. Kartawidjaja; Marsul Siregar
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/zt5dx4zw
DOI :
https://doi.org/10.5281/zenodo.8126484
Abstract :
The presence of the internet network which is
getting faster and the digital world which is growing
rapidly in various fields have a very big influence on
every aspect of human life, not limited to people who are
related, especially jobs in the field of information
technology but also outside the field of information
technology. The massive development of the digital
ecosystem and the entry of the industrial era 4.0 means
that more and more data is available on the internet. A
large amount of data available then raises various
problems in terms of how to process and analyze data so
that this data can be useful in human life both within the
scope of individuals or companies and in the fields of
education, health and so on. With the concept of
Machine Learning technology, problems in processing
and analyzing large amounts of data can be solved more
quickly when compared to doing it manually by humans.
The more data that is processed, the performance of
Machine Learning in conducting analysis will increase.
In this analysis process, the determined algorithm also
affects the performance of Machine Learning. The
Author will use Google's services in this research,
namely Google Colaboratory. Then the Author will also
compare the use of two algorithms, XG Boost, and
Support Vector Machine, as well as carry out the feature
selection process.
Keywords :
Machine learning, pearson, xg boost, support vector machine, employee turnover.
The presence of the internet network which is
getting faster and the digital world which is growing
rapidly in various fields have a very big influence on
every aspect of human life, not limited to people who are
related, especially jobs in the field of information
technology but also outside the field of information
technology. The massive development of the digital
ecosystem and the entry of the industrial era 4.0 means
that more and more data is available on the internet. A
large amount of data available then raises various
problems in terms of how to process and analyze data so
that this data can be useful in human life both within the
scope of individuals or companies and in the fields of
education, health and so on. With the concept of
Machine Learning technology, problems in processing
and analyzing large amounts of data can be solved more
quickly when compared to doing it manually by humans.
The more data that is processed, the performance of
Machine Learning in conducting analysis will increase.
In this analysis process, the determined algorithm also
affects the performance of Machine Learning. The
Author will use Google's services in this research,
namely Google Colaboratory. Then the Author will also
compare the use of two algorithms, XG Boost, and
Support Vector Machine, as well as carry out the feature
selection process.
Keywords :
Machine learning, pearson, xg boost, support vector machine, employee turnover.
