dtk@che.ui.ac.id +62-7863-3516
My research interest is focused on extraction and separation of rare earth elements, synthesis and characterization of graphene oxide and reduced graphene oxide from graphite waste for drilling fluids and highly efficient, superhydrophobic and reusable oil spill adsorbent, adsorption and utilization of agro-wastes as adsorbents, utilization of natural kaolin for preparation of Zeolite A and its modified composite for encapsulation of a fragrance molecule and also adsorbent as well asdrug delivery system. Recent publications on synthesis, characterization, and performance of graphene oxide and phosphorylated graphene oxide as additive in water-based drilling fluids; kinetics, isotherm, thermodynamic and bioperformance of defluoridation of water using praseodymium-modified chitosan; simultaneous adsorption of lanthanum and yttrium from aqueous solution by durian rind biosorbent; kinetics, mechanism, and thermodynamics of lanthanum adsorption on pectin extracted from durian rind; leaching kinetics of lanthanide in sulfuric acid from low grade bauxite; SnOx-impregnated Clinoptilolite for efficient mercury removal from liquid hydrocarbon; adsorption of lanthanide ions from an aqueous solution in multicomponent systems using activated carbon from banana peels; production of pyrolysis-oil from co-firing plastic waste and palm empty fruit bunches, and anti-amoebic activity of acyclic and cyclic-samarium complexes onAcanthamoeba, These research have attracted attentions because these findings would be the fundamental steps toward the clean environment, recycling of the rare earth elements, medical field and utilization of lanthanide for advanced material application. The latter is becoming more feasible, as recently, she has extended her research interest on petroleum and industrial applications by exploring the possibility of rare earth elements as active compounds in adsorbent, and/or catalyst.
Separation of Rare Earth Element and its application;
Graphene Family Member and Adsorption
A conventional controller such as PI and PID is enough to proceed a single variable. In the other hand to proceed multi variable, model predictive control is better. To controlled nonlinear process, conventional controller using PID Nonlinear, while mpc using mpc nonlinear or multiple mpc (mmpc). One of the MMPC’s that is developed here is RMPC (Representative MPC), which is done by selecting linear MPC’s that is most suitable to use as a controller.
Demand of new plant in Indonesia is still high. For along time a new plant design made base on a steady state process, however the plant running in dynamic state. The dynamic state need controller. In this research, we try to find the most optimum and efficiency controller (PI or MPC) for the new plant.
