UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
-
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Laboratory of Data Engineering and Business Intelligence is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Research output
-
Machine Learning-Based Models of Industrial Predictive Emissions Monitoring Systems: Framework of Accuracy and Computational Efficiency Trade-Offs With Life Cycle Cost Analysis
Winarto, R., Anggraeni, W. & Purnomo, M. H., 2026, In: IEEE Access. 14, p. 21181-21199 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimizing Gas Sensor Array in an Electronic Nose Using Firefly Algorithm with VGG-1D for Cookie Cooking Level Classification
Aulia, D., Rivai, M., Purnomo, M. H., Yuniarno, E. M., Anggraeni, W. & Aulia, S., 28 Feb 2026, In: International Journal of Intelligent Engineering and Systems. 19, 2, p. 687-706 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptation in communication technology utilization: caring for individuals with chronic conditions in South Asia during the Covid-19 pandemic
on behalf of the CLIC Caregiver Study Group, 2025, In: Journal of Communication in Healthcare. 18, 2, p. 122-133 12 p.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
-
Sepuluh Nopember Institute of Technology Researchers Broaden Understanding of Machine Learning (Machine Learning-Based Models of Industrial Predictive Emissions Monitoring Systems: Framework of Accuracy and Computational Efficiency Trade-Offs ...)
Purnomo, M. H. & Anggraeni, W.
27/02/26
1 item of Media coverage
Press/Media
-
Data from Institut Teknologi Sepuluh Nopember Provide New Insights into Engineering (Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits)
Yuniarno, E. M., Purnomo, M. H. & Anggraeni, W.
18/08/25
1 item of Media coverage
Press/Media