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All Journal Jurnal Studi Guru dan Pembelajaran JISA (Jurnal Informatika dan Sains)
Bambang Suharjo
Universitas Pertahanan
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Analysis of Internet Network Technology Online Training for Indonesian Navy Information Technology Employees Using Hierarchical Clustering Suhirwan Suhirwan; Bambang Suharjo
Jurnal Studi Guru dan Pembelajaran Vol. 4 No. 2 (2021): May - August
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jsgp.4.2.2021.1229

Abstract

During the covid-19 pandemic, all institutions had a high dependency on information technology. Network strength is very important. Thus, an internet network technology course was conducted for information technology personnel of the Indonesian Navy. The training is conducted online. Studied learning success is associated with the initial data held, namely rank, gender, work experience in the field, previous education and learning activities, and age of participants. The data was clustered with the final test results to determine the clustering of training results and these factors. Based on the clustering it can be stated a good grouping of learning success in this pandemic period. From the 75 personnel data, we could made 5 clusters. Recommendation for internet network tools online training, especially in internet network technology, is that the participants of the course should have experience in internet and network, young and have good education level at least high school.
K-Means Cluster Analysis of Sex, Age, and Comorbidities in the Mortalities of Covid-19 Patients of Indonesian Navy Personnel bambang suharjo; Muhammad Satria Utama Utama
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.869

Abstract

Covid-19 disease is still ongoing. It is necessary to do intensive research related to age, sex and congenital diseases so that management can be better planned. The research was conducted using data from Indonesian Navy personnel and their families, retired Indonesian Navy and their families. This study used k-means clustering for data grouping of Indonesian Navy personnel based on age, sex and congenital disease characteristics. The results of the k-means cluster clustering show that the k = 2 cluster has not been able to provide an explanation of the relationship between age, sex and comorbidity with the risk of death due to Covid-19. However, in the cluster with k = 3, it turns out that deaths due to Covid-19 are related to old age, men, even though there is no congenital disease. Meanwhile, using the k = 4 cluster, it is increasingly clear that deaths due to Covid-19 are closely related to old age, both men and women, with comorbidities.
Co-Authors Muhammad Satria Utama Utama Suhirwan, Suhirwan