As One of the finalists for National Outstanding Student Selection 2019, Annisa Dewi Nugrahani Hopes She Can Give the Best for Unpad

[, 1/7/2019] Universitas Padjadjaran Faculty of Medicine student Annisa Dewi Nugrahani is chosen to be one of the finalists for the National Outstanding Student Selection (Pilmapres) 2019 held by the Directorate General of Learning and Student Affairs, Ministry of Research, Technology, and Higher Education of the Republic of Indonesia.

Annisa Dewi Nugrahani (Photo: Tedi Yusup)

Annisa is chosen as a finalist in the bachelor program after passing initial assessment by the judges. For the next step, Annisa will take part in the final assessment taking place, West Java on 23-26 July 2019.

“Alhamdulillah I’m happy to maintain Unpad’s title as a finalist for the National Pilmapres. Aside from feeling happy, I also have a responsibility to give the best for Unpad,” told Annisa when she was met at the Unpad Public Communication Office, Friday (28/6).

According to Annisa, her participation in the Pilmapres is due to the support given by all parties. She also hopes that she can add to Unpad’s achievements from the previous years in the National Pilmapres.

“I hope I can give the best for Unpad and everyone who has helped me. I hope the results will be better than the previous years,” hoped Annisa.

To take part in the nationals, Annisa is currently preparing herself. Other than practicing to present her research, Annisa also keeps adding on her general knowledge of current issues.

Annisa is chosen with her research titled “Tuberculosis Diagnostic Method and Its Resistance Through Colorimetric Censor with Gold Nanoparticle Base Integrated to M-Health”. In her research, Annisa suggested a tuberculosis diagnostic method that is faster, more practical, and more accurate.

“I suggested to detect tuberculosis with colorimetric censor,” told Annisa.

Other than being able to detect tuberculosis faster, she hopes the method will also be able to accurately detect tuberculosis patients with drug resistance. That way, it can be handled faster.

“The purpose is to make diagnosis faster with more practicality and accuracy, so that people who are suspected to suffer from tuberculosis can be handled faster with effective treatment according to the diagnosis,” said Annisa.

The method offered by Annisa is also integrated with a digital application so the data produced can be more detailed.

“In the software we will upload a photo, the software will automatically analyze how many TB bacteria exist, if there is resistance or not, then the results can be reported to the patient or be kept for further research,” she hoped.

Report by Artanti Hendriyana.
Translated by Dinda Ayu Maharani

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