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July 28, 2022 19:07

Through Social Media, ITS Doctors Can Predict the Number of DHF Cases

Oleh : adminwebits | | Source : its.ac.id
Dr Wiwik Anggraeni SSi MKom berhasil meraih gelar doktor dalam Sidang Terbuka Promosi Doktor Teknik Elektro ITS

Dr. Wiwik Anggraeni SSi MKom won a doctorate in the ITS Electrical Engineering Doctoral Promotion Open Session.

ITS Campus, ITS News – Dengue Hemorrhagic Fever (DHF) during the Covid-19 pandemic is still endemic in various regions in Indonesia. Through her research on creating a system for calculating DHF cases in Indonesia, Dr. Wiwik Anggraeni SSi MKom won her doctorate in the Open Session of Doctoral Promotion for the Doctoral Program in Electrical Engineering Institut Teknologi Sepuluh Nopember (ITS), Wednesday (27/7).

Wiwik explained that this dissertation was motivated by cases of dengue fever in several areas in Indonesia that did not match the data on the computer and the conditions in the field. This is because people tend to look for information on a symptom of a disease through the internet. “From this digital footprint, we can use it to predict the number of dengue cases in an area,” she explained.

Dr Wiwik Anggraeni SSi MKom saat mempresentasikan disertasinya tentang memanfaatkan media sosial untuk memprediksi jumlah kasus DBD di Indonesia

Dr. Wiwik Anggraeni SSi MKom, when presenting her dissertation on using social media to predict the number of dengue cases in Indonesia.

In her dissertation entitled Representations from Social Media, Internet Queries, and Surveillance Data to Predict the Number of Dengue Hemorrhagic Fever Cases using the WHAI Model, Wiwik created a combined modeling system of the Decomposition system and Bidirectional Long Short Term Memory (BiLSTM) called the WHAI model system.

Wiwik said that the merging of the two systems was carried out so that the mapping and prediction of the number of dengue cases were more accurate and actual. In addition, the WHAI model system works by combining certain variables such as the number of social media activities related to dengue disease, the number of detected dengue cases, the amount of rainfall, humidity, wind speed, and direction, and weather temperature.

This ITS Information Systems Department lecturer continued that the final data processed from these variables will be compared with case data on the number of reported dengue cases. If the data obtained from the WHAI model system are the same or close to the same, then the WHAI model system is successful in predicting the number of DHF cases. “It was found that Malang Regency and Surabaya City are areas that are prone to DHF,” said Wiwik.

Foto bersama sekaligus pemberian ucapan selamat kepada Dr Wiwik Anggraeni SSi MKom oleh para penguji dan Ketua Sidang Terbuka Promosi Doktor Teknik Elektro ITS

Group photo as well as congratulation to Dr. Wiwik Anggraeni SSi MKom by the examiners and the Chair of the ITS Electrical Engineering Doctoral Promotion Open Session

The research for the dissertation is located in Malang Regency and Surabaya City. Wiwik said that the reason for choosing Malang Regency as a research location was because the area was quite large and added with various geographical conditions. To be able to provide more varied data results. “Meanwhile, Surabaya was chosen as one of the research sites in big cities,” she explained.

Wiwik conveyed that the idea for the name of the WHAI model system was taken from the acronym of the name Wiwik Anggraeni and three other researchers as well as promoters in this doctoral session, namely Prof. Dr. Ir Mauridhi Hery Purnomo MEng, Dr. Eko Mulyanto Yuniarti ST MT, and Reza Fuad Rachmadi ST MT Ph.D. “This research is a development of the same previous research related to DHF,” said the woman from Madiun.

In its application, the WHAI model system has begun to be implemented at the Surabaya City Health Office. Wiwik hopes that the WHAI model system can be used not only for dengue fever but also to anticipate other outbreaks. “I hope this research can be useful to help people’s health,” said Wiwik. (ITS Public Relation/far)

 

Reporter : Regy Zaid Zakaria

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