scholarly journals (EBSIS) Electronic Blood Stock Information System Sebagai Pusat Informasi Stock Darah pada Unit Transfusi Darah (UTD) Kabupaten Serang

2018 ◽  
Vol 5 ◽  
Author(s):  
Akip Suhendar ◽  
Siswanto Siswanto ◽  
Riani Dwi Nurhamzah
Keyword(s):  
Information System ◽  
Real Time ◽  
Smart City ◽  
Stock Information

Smart City merupakan sebuah konsep kota cerdas yang dapat membantu masyarakat mengelola sumber daya yang ada dengan effisien dan memberikan informasi yang tepat kepada masyarakat atau lembaga dalam melakukan kegiatannya. Konsep Smart City yang menggunakan pemanfaatan teknologi sebagai tujuan utamanya dianggap dapat membantu pemerintah untuk memberikan sebuah layanan khusunya layanan kesehatan yang saat ini menjadi kebutuhan penting bagi masyarakat. UTD (Unit Tranfusi Darah) adalah instansi yang mengelola transfusi dan donor darah di seluruh indonesia. UTD PMI berperan penting dalam pengelolaan stok darah di kabupaten Serang. Selain itu UTD PMI juga memiliki peran penting yaitu melaksanakan kegiatan donor darah masal, dan acara sosialisasi kesehatan lainnya. Dengan dirancang nya Aplikasi Electronic Blood Stock Information System (EBSIS) berbasis web maka akan membantu masyarakat dalam memperoleh informasi ketersediaan stok darah secara real time.

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

PENGEMBANGAN ”REAL TIME TRAFFIC INFORMATION SYSTEM” BAGI PENGGUNA JALAN

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Rusmadi Suyuti
Keyword(s):  
Information System ◽  
Real Time ◽  
Travel Demand ◽  
Urban Traffic ◽  
Road User ◽  
Traffic Information ◽  
Estimation Methods ◽  
Traffic Counts ◽  
Real Time Traffic ◽  
Demand Models

Traffic information condition is a very useful  information for road user because road user can choose his best route for each trip from his origin to his destination. The final goal for this research is to develop real time traffic information system for road user using real time traffic volume. Main input for developing real time traffic information system is an origin-destination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or road side interviews, tend to be costly, labour intensive and time disruptive to trip makers. Therefore, the alternative of using traffic counts to estimate O-D matrices is particularly attractive. Models of transport demand have been used for many years to synthesize O-D matrices in study areas. A typical example of the approach is the gravity model; its functional form, plus the appropriate values for the parameters involved, is employed to produce acceptable matrices representing trip making behaviour for many trip purposes and time periods. The work reported in this paper has combined the advantages of acceptable travel demand models with the low cost and availability of traffic counts. Two types of demand models have been used: gravity (GR) and gravity-opportunity (GO) models. Four estimation methods have been analysed and tested to calibrate the transport demand models from traffic counts, namely: Non-Linear-Least-Squares (NLLS), Maximum-Likelihood (ML), Maximum-Entropy (ME) and Bayes-Inference (BI). The Bandung’s Urban Traffic Movement survey has been used to test the developed method. Based on several statistical tests, the estimation methods are found to perform satisfactorily since each calibrated model reproduced the observed matrix fairly closely. The tests were carried out using two assignment techniques, all-or-nothing and equilibrium assignment.  

scholarly journals Online Simulation of Nuclear Power Plant Primary Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongyun Xie ◽  
Haixia Gu ◽  
Chao Lu ◽  
Jialin Ping
Keyword(s):  
Information System ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Real Time ◽  
Nuclear Power ◽  
Measurement Data ◽  
Reactor Core ◽  
Power Industry ◽  
Nuclear Power Industry ◽  
Online Simulation

Real-time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, online simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purpose of analyzing plant events and providing indicative signs of malfunctioning. OLS has been applied in certain industries to improve safety and efficiency. However, it is new to the nuclear power industry. A research project was initiated to implement OLS to assist operators in certain critical nuclear power plant (NPP) operations to avoid faulty conditions. OLS models were developed to simulate the reactor core physics and reactor/steam generator thermal hydraulics in real time, with boundary conditions acquired from plant information system, synchronized in real time. The OLS models then were running in parallel with recorded plant events to validate the models, and the results are presented.

A Real-Time Climate Information System for the Midwestern United States

1990 ◽  
Vol 71 (11) ◽  
pp. 1601-1609 ◽  
Author(s):  
Kenneth E. Kunkel ◽  
Stanley A. Changnon ◽  
Carl G. Lonnquist ◽  
James R. Angel
Keyword(s):  
United States ◽  
Information System ◽  
Real Time ◽  
Climate Information ◽  
Midwestern United States
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