TY - JOUR
T1 - Level alert classification of dengue hemorrhagic fever cases in DKI Jakarta with the implementation of the random forest algorithm
AU - Dzakwan, Ikhwanul Ghazy
AU - Hertono, Gatot Fatwanto
AU - Aldila, Dipo
AU - Handari, Bevina Desjwiandra
N1 - Funding Information:
This research is supported by Publikasi Terindeks Internasional (PUTI) 2020 Research Grant No: NKB-1011/UN2.RST/HKP.05.00/2020 from Universitas Indonesia. The data in this paper are provided by Jakarta Health Office, Central Bureau of Statistics, and Meteorological, Climatological, and Geophysical Agency.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/3/29
Y1 - 2021/3/29
N2 - In 2007, the capital district, DKI Jakarta had one of the worst floods that submerged nearly 60% of the area. One of the causes was heavy rainfall. Two months after the incident, the Governor of DKI Jakarta stated that the capital district was affected by an outbreak of dengue fever. From these two incidents, there are some indications of dengue hemorrhagic fever cases related to weather. In this research, a random forest classification algorithm was used to build a model that could classify the level alert of dengue fever for each district in DKI Jakarta into three categories: safe, moderately safe, and unsafe. The results and the accuracy of the classification model for the level alert of cases of dengue hemorrhagic fever for East Jakarta, North Jakarta, South Jakarta, Central Jakarta, and West Jakarta are 94.51%, 86.81%, 81.32%, 80.22%, and 80.22% respectively.
AB - In 2007, the capital district, DKI Jakarta had one of the worst floods that submerged nearly 60% of the area. One of the causes was heavy rainfall. Two months after the incident, the Governor of DKI Jakarta stated that the capital district was affected by an outbreak of dengue fever. From these two incidents, there are some indications of dengue hemorrhagic fever cases related to weather. In this research, a random forest classification algorithm was used to build a model that could classify the level alert of dengue fever for each district in DKI Jakarta into three categories: safe, moderately safe, and unsafe. The results and the accuracy of the classification model for the level alert of cases of dengue hemorrhagic fever for East Jakarta, North Jakarta, South Jakarta, Central Jakarta, and West Jakarta are 94.51%, 86.81%, 81.32%, 80.22%, and 80.22% respectively.
UR - http://www.scopus.com/inward/record.url?scp=85103915665&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1821/1/012027
DO - 10.1088/1742-6596/1821/1/012027
M3 - Conference article
AN - SCOPUS:85103915665
VL - 1821
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012027
T2 - 6th International Conference on Mathematics: Pure, Applied and Computation, ICOMPAC 2020
Y2 - 24 October 2020
ER -
