Sa’adatar Rohmah, Nilna
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Machine Learning Approach to Predict the Dengue Cases Based on Climate Factors Nasir, Muhammad; Aldillah Wulandhari, Shobiechah; Tenrisau, Dhihram; Haris Ibrahim, Muhammad; Rahastri, Ajeng; Sa’adatar Rohmah, Nilna; Surya, Asik; Thohir, Burhanuddin; Aryani, Desfalina; Firdaus Kasim, Muhammad
Window of Health : Jurnal Kesehatan Vol 7 No 2 (April 2024)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.1428

Abstract

Dengue is a global health issue threatening public health, particularly in developing countries. Effective disease surveillance is critical to anticipate impending outbreaks and implement appropriate control responses. However, delays in dengue case reporting are frequent due to human resource shortfalls. Improved outbreak predictive capacity also requires additional input on vector presence and abundance, which is currently not captured in the surveillance platform. Thus, we developed a prototype AI application, “Dengue Forecasting", that leverages machine learning methods in filing the dengue case report and incorporates dengue vector and climatic parameters. This application simplifies the recording of dengue cases, vector abundance (Angka Bebas Jentik/ABJ), and selected climatic variables (sun exposure, temperature, humidity, wind speed, and precipitation) in Bandung City. The relevant data were extracted from Indonesia’s Ministry of Health and the Meteorological, Climatological, and Geophysical Agency. The entire process, from developing the model to deployment, was conducted under R programming language version 4.2.2 using packages (caret, shiny.io). The linear regression model demonstrated the highest precision (RMSE= 268.32 and MAE= 164.1) in predicting the dengue cases and outbreaks. We also applied this to the application deployment. “Dengue Forecasting” has the potential to assist policymakers at the district level, complementing Dengue EWARS, in anticipating and mitigating dengue outbreaks, especially in Bandung City.
Investigation of Food Poisoning Outbreak in X Senior High School in Bantul District, Indonesia 2024 Reza Firdaus, Muhammad; Sa’adatar Rohmah, Nilna; Aryanto, Samsu; Satria Wiratama, Bayu
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3rd MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Abstract

Background : On 7th October 2024, the Bantul District Health Office received reports that students, parents, and teachers at X Senior High School were sick with similar symptoms, suspected after consuming food at the “Character Strengthening” activity. Objective : This investigation aimed to confirm and describe the outbreak for control measures. Research Methods : Active case finding and a 1:1 case-control study were conducted. Cases were defined as people who experienced gastrointestinal symptoms after consuming food during the event on 6th October 2024. Data on characteristics, food consumption, and environment were collected using a questionnaire via Google Forms. Food samples were tested at BLKK Yogyakarta laboratory. Data were analyzed descriptively and statistically (chi-square). Results : Of 150 people, 91 (60.67%) were identified as cases. Cases were 80.22% female, 60.44% aged 10-18, and 56.04% students. The majority of symptoms were diarrhea (80.22%), abdominal pain (59.34%), and weakness (26.37%). The outbreak occurred on 6th-7th October 2024, with an average incubation period of 10.35 hours (1.00-21.55 hours). Stir-fried chicken gizzards and liver had the highest risk, students who consumed this food were 6.4 (95% CI: 2.1-23.3) times more likely to become cases. Improper cooking processes and poor hygiene practices were identified as risk factors. Laboratory tests confirmed Bacillus cereus in the Stir-fried chicken gizzards and liver. Conclusion : There was a food poisoning outbreak in X Senior High School on 6th-7th October 2024 caused by Stir-fried chicken gizzards and liver contaminated by Bacillus cereus. Improper cooking processes and poor hygiene cause contamination. The food handler’s knowledge of hygiene and sanitation during cooking needs improvement