Page 24 - Proceeding The 2nd International Seminar of Science and Technology : Accelerating Sustainable Innovation Towards Society 5.0
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nd
               The 2  International Seminar of Science and Technology
               “Accelerating Sustainable innovation towards Society 5.0”
               ISST 2022 FST UT 2022
               Universitas Terbuka
               of  various  diseases,  one  of  which  is  Dengue  Haemorrhagic  Fever
               (DHF).
               There have been several studies related to the K-Means method that
               have been carried out, including Yunita [9], with the title Application of
               Data  Mining  K-Means  Clustering  Algorithm  in  New  Student
               Admissions. In this study, three clusters were formed, with the first
               cluster of 195  items, the second cluster of 271  items and the third
               cluster of 50 items. The results of this study are used as one of the
               bases for decision making to determine strategies to promote each
               existing study program [9]. Furthermore, the related research was also
               carried out by Fatmawati [10] with the title Application of Rapidminer
               with  K-Means  Cluster  in  Areas  Infected  with  Dengue  Hemorrhagic
               Fever (DHF) Based on Province. The results obtained that there were
               4 provinces with high-level clusters (C1), 13 provinces with medium
               level (C2), and 17 provinces with low-level clusters (C3) [9].  Another
               relevant  research  was  conducted  by  Darmansah  and  Wardani  [16]
               with the title Analysis of the Spread of Corona Virus Transmission in
               Central Java Province using the K-Means Grouping, with the results
               found that C0 there are 18 cities/regencies, C1 there is 1 city/regency
               and C2 there are 16 cities/regencies at the level of the spread of the
               corona virus in Central Java province [11].
               In this study, the K-Means method will group the areas in East Lombok
               Regency according to the level of dengue disease cases so that they
               are appropriately and quickly targeted in the prevention and control of
               dengue disease. Where in this case it will visualize the results of the
               cluster analysis of dengue disease spread in East Lombok Regency
               using K-Means with variables in the number of dengue sufferers, the
               number of health facilities and population density in each district in
               East Lombok Regency.

               2   METHODOLOGY
               2.1  Data Mining
               Data mining is the process of obtaining useful information from a large
               database warehouse [12].  Data mining can also be interpreted as the


               ISST 2022 – FST Universitas Terbuka, Indonesia              3
               International Seminar of Science and Technology “Accelerating Sustainable
               Towards Society 5.0
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