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Dive into the research topics where Department of Information Systems 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
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A Digital Microscopy System and New Sputum Dataset for Deep Learning-based Tuberculosis Detection
Wulandari, S. A., Muqtadiroh, F. A., Yuniarno, E. M., Ketut Eddy Purnama, I. & Purnomo, M. H., 2026, In: International Journal of Intelligent Engineering and Systems. 19, 3, p. 443-454 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing factors influencing flood preparedness among Jakarta residents: A multilayer perceptron artificial neural network based on protection motivation theory
Grahani, B. P., Flores, F. P., Prasetyo, Y. T., Cahigas, M. M. L., Nadlifatin, R. & Gumasing, M. J. J., Jan 2026, In: Environmental Development. 57, 101358.Research output: Contribution to journal › Article › peer-review
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Bridging BPM and Sustainability Journeys in Navigating Sustainability Paradoxical Tensions
Nurkasanah, I. & Van Looy, A., 2026, Business Process Management: Responsible BPM Forum, Process Technology Forum, Educators Forum - BPM 2025 RBPM, PT, and Educators Forum, Proceedings. ER, M., Gal, A., Grisold, T., Santoro, F., Weske, M., Dijkman, R. M., Karastoyanova, D., Aysolmaz, B., Bandara, W. & Revoredo, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 66-71 6 p. (Lecture Notes in Business Information Processing; vol. 565 LNBIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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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