Research has been carried out on the Design of Fish Feeding Equipment for IoT-Based Floating Cages. The purpose of this study was to design a fish feeder for floating net cages using ESP-32 CAM, ultrasonic sensor, RTC module and servo motor. The research stages start from hardware design, software design, testing and analysis. The results showed that the RTC Module was functioning properly according to the Blynk Application Time Input Widget. A notification will be sent to the smartphone when the remaining volume of fish feed is less than 20%. ESP32-CAM can send images and stored on webhosting the results of the images displayed are affected by the signal speed. Overall the tool can function well. For further research, you can add a weight sensor to find out how much feed is given in each specified time.

PCBs are very influential on the manufacture of electronic devices, for example when there is even a small number of PCB paths that are cut off or damaged, the electronic device cannot be operated properly. Therefore, in this study, the author tried to create and analyze a defect checking tool on PCBs to replace human vision to make it easier and can save costs. This tool is equipped with the help of a Logitech c920 Webcam and a Raspberry Pi 3b+ microprocessor which is used to store and run programs that have been created on Python programming software, so this tool can be used portablely. With these two technologies, Image Processing can be used to detect objects with the OpenCv library and Google Colab. PCB defect detection tool with the help of Image Processing uses yolo convolutional neural network method to help determine path damage on the PCB. You Only Look Once (YOLO) algorithm with five detection classifications, namely short, open circuit, missing hole, mouse bite, and spur. From the results of the study, the results were obtained that the YOLO algorithm was able to detect these five classifications with a value of mAP@0.5 short 90.67%, open circuit 97.86%, Mouse Bite 94.43%, Missing Hole 96.09%, and spur 97.56%.

Wireless Sensor Network (WSN) is likely to be implemented as a long-range transmission network for sensor data to detect potential natural disaster like flood, landslide, and soil liquefaction. The sensor parameters: for example rainfall, soil humidity, vibration, type of soil, and so forth were sent from the location at which natural disaster potentially occurs and were forwarded to data center in real time for further analysis and observation. Therefore, the natural disaster which potentially occurs in the area was easily detected by the parameter of nodes that were gathered in server. When sensor detected the sign of natural disaster, the information would be conveyed through WSN to information center and was broadcasted to society as an early warning of natural disaster such as flood, landslide, soil liquefaction, etc. Such information was automatically broadcasted to society and was adjusted to the impending circumstance e.g. secure, cautious, and warning. By the implementation of WSN technology as an early warning system, it is expected to information concerning natural disaster is broadcasted accurately and rapidly to society, hence society can take quick action and response to natural disaster.

Many parking area still use manual system such as ticketing, parking position, etc. Nowadays, this system can be control easier using microcontroller. In this control system, infra red and photodiode are used to inform when car come and out to parking area. Another sensor, ultrasonic, is used to help driver to park the car safely. Alarm will warn the driver if the position of the car broke the limitation of safety range to park. In another hand, the empty parking areas are display in LCD and related with portal which opened when the empty parking area still available and close if it full automatically. Microcontroller is used to control sensor, LCD and portal

Simulation of detection system for equipments electronics aim to facilitate people watch existence of equipments electronics  or other valuable objects that still residing in on position which  determined, if house in a state of remained house owner.  This detection also at the same time can be functioned as preventative of  thief. This detection system use 2 of HP ( Handphone), HP1 reside in house which incircuit with detection system and HP2 holded by house owner. Existence of electronics equipments that residing in house can be watched automatically from long distance with delivering SMS from HP1 to HP2 on the happening of condition of electronic equipments making of move from initialy position, also alarm will sound at home for notification to security or neighbour. SMS can be also delivered from HP2 to HP1 for the checking of electronic equipments if notification of HP2 at home don’t  be executed when position  the electronic equipments  have making a move. The detection in the form of censor infra red (optocoupler) residing in at elbow equipments of electronic at home which  input to parallel port ( DB25) of PC ( personal of computer). While HP1 incircuit serially port ( DB9) and thsi function of HP is executed by program of Visual Basic 6.0. Program to detect infra red and activate alarm also use Visually Basic 6.0.