Abstract

The need of pathologist to analyze tissue samples from remote, constrained by the high initial cost of the initial investment both hardware and software. Therefore researchers are trying to analysis the cost-benefit and QoS of the dynamic Telecytology system in Indonesia. The researchers have built the Telecytology systems with hardware and software, that are as an initial cost of the system. The observer needs an internet connection to connect to the dynamic Telecytology system. This telecommunication cost is as operational cost. There is 3 (three) dynamic Telecytology system to be implemented and compared, first, using the Raspberry Pi, second, using Android smartphones and third, using the iPhone. Then, the systems were compared with the commercial product, such as Skype System. This study tries to prove that the systems are quite affordable in terms of cost-benefit and try to analyze QoS of the systems. The researcher analyzes Internal of Rate Return (IRR) and Net Present Value (NPV) of the dynamic Telecytology system. The best NPV and IRR results are Raspberry Pi System, second, Android System and the last one is iPhone System for 5-years period with the assumption that the inflation rate is 10% per year and to serve one patient. So the project can be accepted. The NPV method is more accurate than IRR method. The best RTT, the best Latency, and the best quality image is iPhone system.

Full Text
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