A recent study led by Dr. Drs. Kartono, M. Sc., along with a research team consisting of Prof. Dr. Dra. Sunarsih, M. Sc., Prof. Dr. Widowati, S. Sc., M. Sc., and Sutrisno, S. Sc., M. Sc., has successfully developed an innovative approach using Chance-Based Uncertain Programming to optimize domestic wastewater treatment facilities.
The research, which involved collaboration between Indonesian researchers and international partners Dr. Tosporn Arreras and Muhammad Syukur, M. BA., produced a mathematical model based on chance-based programming. This model is designed to address the uncertainty in several parameters related to domestic wastewater treatment and can optimize the operation of these facilities.
One key aspect of this research is the assumption that some parameters in the wastewater treatment process are uncertain. By using the designed mathematical model, researchers can perform optimization to enhance the performance of domestic wastewater treatment facilities. The main objective of this model is to maximize the total amount of wastewater processed in facultative ponds.
The research is based on the layout of the Sewon domestic wastewater treatment facility in Yogyakarta, making its findings directly applicable to real-world scenarios. The research findings have been successfully published in one international conference proceedings article indexed by Scopus and one reputable international journal article.
Dr. Drs. Kartono, M. Sc., the lead researcher, stated, “This research opens new doors in domestic wastewater management by considering uncertainty in the optimization process. We hope that our findings can make a positive contribution to the development of wastewater treatment technology in the future.”
These findings are expected not only to contribute at the local level but also to serve as a foundation for the development of similar methods internationally, advancing global efforts in water resource management and environmental protection.