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During this process of monitoring the contents (volume) of the patient's urinary catheter manually, the nurse must go around one by one to the patient's inpatient room to ensure the contents (volume) of the patient's urinary catheter. This process takes quite a long time while patients who use urinary catheters at the hospital are not small. In addition, if the patient's urinary catheter monitoring process is still done manually, sometimes the medical team or nurses often miss or forget, that the urine bag (catheter) is full. The purpose of this study is to design an Internet Of Things Based Urine Bag Monitoring. The research method used in this study was experimental. The population in this study was 65 TREM study program students with a sample of 40 respondents. Based on the average score table of the Simplicity, Interactivity and Usability surveys. The results of the score calculation using the Likert scale from the Simplicity, Interactivity and Usability factors of urine bag monitoring testing that has been carried out using questionnaires to respondents have shown a high score that is almost close to the value of 5 based on calculations carried out using the Likert scale which indicates that this urine bag monitoring tool can be well received by respondents. It is expected to be developed as material for further research related to monitoring urine bags using applications that can usealarms on users' smartphones and can also use batteries on urine bag monitoring tools

Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.

The importance of innovation in waste management is increasingly felt in this modern era. This research introduces an automated waste handling system utilizing Arduino Uno-based sensors. Arduino Uno, as a versatile microcontroller, is employed to control the automation process in waste bins. Integrated ultrasonic and load cell sensors assist in identifying the presence of individuals disposing of trash and monitoring the weight of the waste, triggering the automatic disposal mechanism. This implementation not only enhances the efficiency of waste management but also provides convenience for sanitation workers. The study details the design, implementation, and performance evaluation of the automated waste bin system, showcasing the potential utilization of Arduino Uno technology in creating intelligent and sustainable solutions for waste management.

The Madukoro gas station is one of the gas stations in Semarang where the payment and refueling systems are still done manually. In general, the manual payment and filling system has many obstacles, resulting in long queues because the service is not fast and effective, also triggering the exchange of counterfeit money because payment uses cash. The application of e-money technology based on microcontrollers is made to make a payment system using electronic money instead of cash that is integrated with fuel filling, this system aims to reduce the long queues that occur and also prevent the amount of counterfeit money circulating at gas stations and make services more fast and easy. The method used in the design of this system is to use the method of Research and Development (R&D) theory from Borg and Gill, starting with gathering information by interviewing Madukoro gas station supervisors and field surveys then designing and developing systems to overcome the problems obtained in research. The system design uses a microcontroller as a data processor that will retrieve data from a database that was previously inputted from the VB.Net application and e-money reader and outputs to instruct the pump to remove fuel from the tank in accordance with the calibration of fuel output per second. As information on the rest of the fuel in the tangka, this tool uses the help of a load sensor that will be displayed on the LCD. In general, this system will make services faster and easier, thereby reducing the number of long queues, but also to avoid the circulation of counterfeit money in gas stations Madukoro, Semarang.

The development of microcontroller technology that is rapidly making applications to be developed as a work in the field of technology that can help and facilitate human activities. Researchers see that current technological developments there are many uses of loadcell sensors to detect weight on objects. The number of factors that affect the weight difference between digital scales and scales very significant conventional. Therefore researchers analyzed the use of loadcell sensors for calculate solid and liquid objects and analyze the work system and the accuracy of the accuracy on the loadcell sensor in calculating the weight of solid objects and liquid objects.