Challenging Analytic Data Opportunities in Smart Health with Algorithm (Study Case: Bumi Medika Ganesha ITB)

  • Aristyo Hadikusuma Telkom University
  • Anung Asmoro Telkom Indonesia
  • Joko Rurianto Telkomsel, Indonesia
Abstract views: 151 , 714 downloads: 107
Keywords: component, k-mean


Weka is a tool to help the data science to clustering data. Weka has feature K-means which help clustering data to spesific analysis. Clustering analysis is a technique for categorizing and dividing objects into groups. Each object has certain characteristics. Because the data has a lot of variety and quantity,By using this K-Means algorithm the patient temperature data already obtained will be grouped into several clusters. Grouping of data by clustering is expected to be a strategy for decision making.


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How to Cite
Hadikusuma, A., Asmoro, A., & Rurianto, J. (2023). Challenging Analytic Data Opportunities in Smart Health with Algorithm (Study Case: Bumi Medika Ganesha ITB). Indonesia Journal on Computing (Indo-JC), 8(2), 1-7.
Computational and Simulation