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Diskless server is a cluster computer network which uses SSH (Secure Shell) protocol to grant the client an access to the host's directory and modify it's content so that the client don't need a hardisk (Thin Client). One way to design a diskless server is by utilizing "Linux Terminal Server Project", an open source-based script for Linux. However, using Linux has it own drawback, such as it can't cross platform for running an aplication based on Windows system which are commonly used. This drawback can be overcomed by using a compatibility layer that converts a windows-based application's source code. The data which will be monitored is the compatibility layer implementation's result, and the throughput, packet loss, delay, and jitter. The result of measurement from those four parameters resulting in "Excellent" for throughput, "Perfect" for packet loss and delay, and "Good" for jitter.

Technological developments encourage changes in the way decisions are made. In terms of stopping the application of urea fertilizer, farmers still rely on BWD observations. In this study, using the RnD method by directly observing the research location in the farmer group Gapoktan, in the village of Tosari, Kendan district and analyzing the problem then making a prototype which will be tested by experts. In this study, a tool was made using NodeMCU with TCS3200 sensor to detect color, which was then sent via the internet to the database using IoT technology. In this study, using several trials with different parameters of urea fertilizer use and the results of the TCS3200 sensor can detect colors according to what is on the BWD and send data to the database via the internet. In this system, farmers can recommend the use of suitable urea fertilizers outside a certain area so as to minimize errors in the observation on BWD, this will make the use of urea fertilizer to be the right dose.  

Wood is an important element determining the quality of a product on furniture. The lack of knowledge of the furniture industry in this industry causes problems to choose a decision in determining the wood material to produce quality and quality furniture products. Development of a decision support system using the Analytichal Hierarchy Process method uses wood quality feasibility parameters consisting of five criteria, namely Physical Physical Properties, Mechanical Mechanical Properties of Wood, Wood Grade, Wood Age and Wood Substance from several samples. The results of this study were to produce a decision from the data to determine a decision, a decision support system for the purchase of wood materials for a furniture industry company using the Analytichal Hierarchy Process method. After testing, it can be concluded that the decision obtained is appropriate for use by staff and superiors and is ready to be implemented.