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The research aims to scale up a small-scale stirred batch reactor to a large-scale stirred batch reactor in order to degum crude palm oil for use as a raw material in biodiesel production. The scale-up is based on the similarity of fluid Reynolds numbers in the two differently sized reactors. To achieve this aim, computational fluid dynamic modeling and simulations of the two reactors were performed. A small-scale palm oil degumming process was carried out in a 250 cc autoclave reactor using a magnetic stirrer at 500 rpm. The simulation results of this small reactor yielded a fluid Reynolds number in the range of 5 to 3,482. The large-scale reactor proposed in this research is 1.25 m 3 in volume and is equipped with two impellers: a pitched blade impeller and a Rushton turbine impeller. The pitched blade impeller is placed over the Rushton turbine impeller. They are rotated at 100 rpm. Under this setting and operation, the resulting fluid Reynolds number was in the range of 486 to 202,000. This result indicates that the large-scale reactor was able to reproduce the reaction performance obtained in the smallscale reactor.

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Data security is one of many problems that we face in IoT implementation. One of the problems with data security is we cannot assure that the data we received in the server-side is truly our data that we send from client-side or sensor-side. With that problems, comes some solutions like encryption and decryption method or some basic authentication planted on the server-side. In this research, we propose some encryption and decryption method that can be easily implemented on both server and sensor-side and then we analyze the complexity of its algorithm. This research aims to create some authentication process for the data that server-side receive from the sensor-side by creating encrypted ID consisting of 6 digits of alphanumeric and useful for identification process in system, so the server can recognize the data and validate it.

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DC boost converter is an essensial equipment in the system