Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Jurnal Infra
Siana Halim
Program Studi Teknik Industri
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Aplikasi Pemetaan Penyakit Demam Berdarah di Surabaya dengan Metode Neural Network Multilayer Perceptron Ivan Enrico Widodo; Andreas Handojo; Siana Halim
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dengue fever is a disease that caused by dengue virus. This virus is transmitted into human body through mosquito bites, aedes aegypti and aedes albopictus. This kind of mosquito are mostly found in subtropical and tropical regions, including in Indonesia. Almost every year, cases of dengue fever occur in Indonesia. Government’s effort to prevent dengue fever have been carried out. Following the development of technology, the government began to save patient data through their own health institution, the community health centers.However, the stored data cannot produce useful information instantly. The data must go through series of processes first before it can become informastion. Data processing methods that can be used are neural network. Because neural network have one function that is prediction. Then, the prediction data can be entered into a digital map for the mapping process. Mapping with digital map that have colors and display the level of sufferers can be said to produce useful information. The result of this program is a website that can display maps in the form of digital map, with data obtained based on prediction results using neural network method. So that later this website can help the government to take preventive measures againts dengue fever.
Aplikasi Website Pemetaan Penyakit Demam Berdarah Menggunakan Metode Geographically Weighted Regression untuk Memprediksi Tingkat Penyebarannya di Surabaya Holiyed Hadi; Andreas Handojo; Siana Halim
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dengue Fever is the one of the most popular endemic illness in Indonesian.. In early 2019, East Java was recorded as the province with the most Dengue Fever cases in Indonesia, because of that the prevent action is needed to reduce the Dengue Fever cases in East Java. But, due to limitations to get East Java data, this research uses Surabaya data as a model, because it has more complete data.The aim of this research is mapping the Dengue Fever with Geographically Weighted Regression (GWR) method that give a local weighted in every independence variable such as rainfall, the number of rainy day in a year, temperature, and humidity, so that can give the more accurate output to prevent Dengue Fever in future.The Output of this research is Mapping with color that based on the distribution rate of  Dengue Fever in every puskesmas area in Surabaya, along with mapping the weights of each independent variable to determine which independent variable influences the determination of dengue fever patients in every puskesmas area in Surabaya. So that area, can do a prevent action from the output of this research.
Co-Authors Andreas Handojo Holiyed Hadi Ivan Enrico Widodo