Organization profile

Organisation profile

Vision Establishing Universitas Indonesia as an independent and superior university that is capable of resolving problems and challenges nationally and globally, as an elite university in South East Asia. Mission 1.To provide quality higher education easily accesible to everyone; 2.Conduct the Tri Dharma (education, research and community service) that is capable to meet the national and global challenges; 3.Create highly intellectual graduates with good virtues that can compete globally; 4.Creating a nurturing academic climate that will support the realization of the university’s vision.

Fingerprint Dive into the research topics where Universitas Indonesia is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Indonesia Medicine & Life Sciences

Therapeutics Medicine & Life Sciences

Industry Engineering & Materials Science

HIV Medicine & Life Sciences

Research Medicine & Life Sciences

Cross-Sectional Studies Medicine & Life Sciences

Neoplasms Medicine & Life Sciences

Health Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Effionora A

Faculty of Pharmacy, Department of Pharmacy

Person: Academic

Ali Abdillah

Faculty of Law, Department of Law

Person: Academic

Arman Adel Abdullah

Faculty of Medicine, Department of Radiology

Person: Academic

Projects 2016 2019

1 Active
1650 Finished

Analisis Peran Sel T Regulator pada Pasien dengan Koinfeksi HIV- TB Aktif dan HIV-TB Laten

Wibowo, H.

Ministry of Research, Technology and Higher Education of Republic of Indonesia

31/12/18 → 30/12/19

Project: Research

Sastra-Budaya Jawa Lintas Masa: Kajian Teks, Tembang, dan Tari

Pudjiastuti, T.

Universitas Indonesia

2/01/18 → 1/01/19

Project: Research

Kinerja: Green Management, Investasi, Struktur Organisasi, dan Workplace Behavior

Nasution, Y.

Universitas Indonesia

1/01/18 → 31/12/18

Project: Research

Research Output 1967 2020

Analysis of Large-Scale Diabetic Retinopathy Datasets Using Texture and Blood Vessel Features

Sarwinda, D., Wibisono, A., Arrumaisha, H., Raihan, Z., Rizky FT, R. N., Pradana, R. P., Hafidh, M. A. & Mursanto, P., 1 Jan 2020, Studies in Computational Intelligence. Springer Verlag, p. 141-155 15 p. (Studies in Computational Intelligence; vol. 850).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Blood vessels

Feature extraction

Textures

Medical problems

Support vector machines