Tri Mulyani

• As a Staff in the Data and Internationalization Unit at the Faculty of Medicine, Universitas Padjadjaran, I manage data reporting systems to support internationalization initiatives and research projects. My role involves analyzing complex datasets, ensuring data accuracy through quality assurance processes, and providing insights for decision-making. I collaborate with cross-functional teams to enhance research outcomes and facilitate student exchange programs with global partners like Radboud University. Additionally, I handle international student documentation and provide technical support for international collaborations and research programs.

• Company Overview: Develop and maintain the organization's databases for counseling and psychosocial support for MSM, FSWs, Waria, and PWIDs populations to enhance adherence to ART
• The study on HIV Early Test and Treat in Indonesia, known as the HATI Study, was a collaborative initiative involving research centers, government bodies, NGOs, and stakeholders, aimed at finding solutions for HIV management in Indonesia
• Develop and maintain the organization's databases for counseling and psychosocial support for MSM, FSWs, Waria, and PWIDs populations to enhance adherence to ART
• The study on HIV Early Test and Treat in Indonesia, known as the HATI Study, was a collaborative initiative involving research centers, government bodies, NGOs, and stakeholders, aimed at finding solutions for HIV management in Indonesia

Develop field-based investigations for the HPAI H5N1 poultry outbreak data storage and retrieval systems using electronic data capture. Design and troubleshoot database issues, and implement database recovery procedures and safety protocols. Supervise the daily activities of the database teams, ranging from surveyors and quality control personnel to data entry staff.

US-Indonesia Influenza Collaborative Study: Conducted in collaboration with the West Java Departments of Animal Husbandry and Health, this study involves field-based investigations into the HPAI H5N1 poultry outbreaks.

Interpreting otitis media and its sequelae in children 6–15 years of age data, analyzing results using statistical techniques. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.