Personal profile
Expertise related to 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. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
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A Narrative Review of Normalized Difference Vegetation Index (NDVI)-Based Time-Series Crop Yield Prediction Using Machine Learning and Deep Learning
Kimani, S. M., Muklason, A. & Anggraeni, W., 2026, Proceeding - ISIBER 2026: International Seminar on Intelligent Business and Edge-Computing Research. Wibowo, F. W. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 668-673 6 p. (Proceeding - ISIBER 2026: International Seminar on Intelligent Business and Edge-Computing Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Integration of Fuzzy Matching and Domain Rules for Identifying Bali's Indigenous Banjar-Based Addresses in Last-Mile Delivery Without Predefined Gazetteers
Ansori, M. I., Anggraeni, W. & Vinarti, R. A., Jan 2026, In: Engineering, Technology and Applied Science Research. 16, 1, p. 32276-32284 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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 -
Predicting non-gazetteer residential addresses in Bali using a hybrid fuzzy matching and HRL-DQN framework
Ansori, M. I., Anggraeni, W., Vinarti, R. A. & Wahyudi Sumari, A. D., 15 Jul 2026, In: Expert Systems with Applications. 320, 132192.Research output: Contribution to journal › Article › 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
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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
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Study Data from Sepuluh Nopember Institute of Technology Update Understanding of Dengue Hemorrhagic Fever (A Hybrid Emd-grnn-pso In Intermittent Time-series Data for Dengue Fever Forecasting)
Sumpeno, S., Purnomo, M. H., Anggraeni, W., Rachmadi, R. F. & Yuniarno, E. M.
24/09/24
1 item of Media coverage
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Machine learning to help predict future dengue fever outbreaks
Purnomo, M. H. & Anggraeni, W.
5/08/22
1 item of Media coverage
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