This paper aims to implement the Fuzzy Inference System algorithm as a controller in an IoT-based observation system in a brooding system simulator. The system consists of sensor and actuator nodes that are connected to the internet using a microcontroller. The two nodes are connected wirelessly. Sensor nodes as devices that collect input data variables that are temperature and humidity. The value of the sensor readings is sent to Antares cloud storage by a microcontroller which functions as data storage so that it can be accessed by the user as well as an input controller. The Mamdani Fuzzy Inference System algorithm is implemented on the actuator node. The actuator node takes fuzzy input values from Antares and then outputs in the form of a PWM crisp value that aims to regulate blower speed and heating level. The experiments performed were comparing the calculation of the algorithm using MATLAB and the brooding system simulator. The results showed identical outputs with practical results with an average error of 0.11% for the PWM value of the blower and 0.22% for the PWM value of the heater. The scheme is expected to be an alternative solution for implementing the control algorithm on an IoT-based system.
Machines are valuable assets that need to be protected from damage and failure through proper maintenance measures. This paper proposes a system that automatically monitors the running time of machines and sends notifications regarding their preventive maintenance (PM) schedules. The system core consists of a programmable logic controller (PLC) and a human machine interface (HMI). The HMI is connected to an online platform via internet connection provided by a router, so that the monitoring result can be accessed via Android smartphone or laptop/PC. This IoT-based running time monitoring system (IRTMS) will be particularly helpful in implementation at an production site that consists of multiple various machines. The PM items of a machine may vary from cleaning, changing single component, to an overhaul, each with different time interval. By using the IRTMS, the user will have an overview of the PM schedules anytime and anywhere. The preparation of material, components, or tools can be known ahead of time. For simulation purpose, a prototype is constructed by using components as used in industrial real-life condition. Four output connections are provided to simulate the simultaneous monitoring of four machines. The IRTMS prototype is tested and completely successful on doing the running time monitoring, the running time reset, the PM notifications, and the remote access for monitoring and control.
Corruption within the Police can be committed by anyone regardless of educational background, ethnicity, rank, or position. Starting from the lowest to the highest ranks and positions, even though they are not free from the temptation of corruption. The research uses a qualitative approach with case study research by collecting data through participant observation, in-depth interviews, and documentation. This research is descriptive-analytical. The results show that law enforcement that is conducted against police personnel who commit criminal acts of corruption is indeed carried out with the principle of “enforce the law using the law” through all existing regulations; however, the sanctions given are never or rarely as much as possible as stated in the law. This fact is law enforcement that does not wholeheartedly use the law. The implementation of law enforcement against police who commit corruption crimes is normatively carried out by combining the criminal sanctions and internal sanctions, such as dishonorable dismissals by Police institution. According to the existing laws and regulations, ideal law enforcement for police personnel who commit criminal acts of corruption must be carried out by prioritizing the combination of criminal sanctions, internal sanctions and widely publicized in Indonesian society as social sanctions.
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