1. Dr. Valeriana Lukitosari, S.Si, MT (Kepala Lab)

2. Endah Rokhmati M.P., Ph.D

3. Drs. Sentot Didik Surjanto, M.Si.

4. Dra. Laksmi Prita Wardhani, M.Si

5. Amirul Hakam, S.Si, M.Si

6.  Sena Safarina, S.Si., M.Sc., D.Sc.

1. 22 units of computers (Core i7: 9 units; Core i5: 13 unites) connected to the internet
2. 1 unit of Bother T500 printer
3. Rooms with AC
4. LCP Projector
5. Free Internet Access (WiFi)

Achmet Usman Ali

Operation Research and Data Processing are an emerging fields in Applied Mathematics area due to the development of the industry. The field of Operation Research and Data Processing are basically related to the subjects of Operation Research, Optimization, Stochastic Process, Probability and Statistics, and Time Series Analysis. Research topic on Operation Research and Data Processing are emphasized in several fileds, namely:

1. Operation Research
   Research conducted in this field is the inventory system, both ,  deterministic and stochastic, which are applied to the evaluation of spare parts in an industrial company.  The research includes the evaluation of maintenance of the equipment, pricing, lifetime, and distance to the warehouse.  The evaluation is necessary to avoid the inavailability of the supply of  spare parts that will affect the production process.
2. Optimization
   Collaborated with the theory of control mathematics and data assimilation method, the research has been growing in theory development and application. The applications are in the development of ship control and unattended air vehicle. Some theory of multipredictive control, adaptive and robust, are includes in this research.
3. Probability and StatisticsTheory of probability and statistics lead to abroad range of research topic as they are one of the basic capability in mathematics.  Besides supporting the other field of research in Department of Mathematics, in this field some topics can be listed as follows:
   1. The application of Bayesian theory for rainfall model and text detection
   2. The application of statistics in quality control analysis for industry
   3. Some studies of probability distributions such as binomial and poisson distributions.
   4. The study and development of poisson model  for data count
4. Time Series
   Being used for prediction and forecast tools, the methods in time series such as ARIMA, GARCH and GSTAR models are developed using Kalman Filter and applied.  The research topic related to these methods are :
   1. Prediction of stock price, oil price, and infation modified with Kalman Filter
   2. Prediction of blood demand modified with Kalman Filter
   3. Prediction of tourist attendance