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Drug abuse (Narcotics, Psychotropics, and other Addictive Substances) is a serious problem that can threaten the younger generation, especially in the Panggung Kidul Village area. The lack of public understanding, especially teenagers, regarding the dangers and negative impacts of drug abuse is one of the factors that influence the high risk of substance abuse. Therefore, innovative and interactive educational media are needed to increase public awareness and understanding regarding the prevention of drug abuse. This study offers a solution by designing and developing educational media based on Augmented Reality (AR) technology as a visual and interactive tool that conveys information in an interesting and easy-to-understand manner. The use of smartphones as the main device in AR applications makes this media more easily accessible to various groups of people. The test results using the System Usability Scale (SUS) method showed a user satisfaction level of 96% which is included in the Acceptable category. Thus, this AR-based educational media is expected to be an effective means of increasing public understanding of the dangers of drug abuse and encouraging early preventive efforts.

Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national beef consumption. With many factors that affect the decline in the production rate of dairy cows or beef cattle every year, one of them is air pollution and poor air quality in cages. Along with the development of technology, a monitoring and detection system for air cleanliness in cattle pens was created, using the MQ-7 sensor as the concentration of carbon monoxide, the MQ-135 sensor as the concentration of ammonia gas, the MQ-2 sensor as the smoke detection, and When the air pollution value of each sensor input is according to the air pollution standard index (ISPU), the outputs namely indicator lights, buzzers and blowers will be on, then there will be temporary air neutralization in the cage. This tool is made easier by internet of things technology, so that it can send notifications via telegram and can see the level of air pollution levels through the web.

The increase in motorized vehicles in urban areas is followed by an increase in cases of motorcycle theft due to the lack of public awareness about the motorcycle security system. The intensity of motorcycle theft with its disclosure is still far in comparison. Crime will also increase, such as cases of theft of motor vehicles, especially motorbikes. Cases of motorcycle theft still often occur, this happens because there is still a lack of security systems contained in motorized vehicles that only use ignition. the existence of an alternative safety system is needed because the average key of a conventional motorcycle is easily penetrated by thieves. A double motorcycle safety device (Doble Smart Lock) composed of an RFID and Personal Identification Number (PIN) and an ATMega microcontroller. This system serves to provide two-stage security. The first stage is a microcontroller in the form of a PIN and the second stage is an RFID system. If the first stage breaks then it will enter the second stage, namely the RFID system The results in the form of a main tool for motorcycle management consists of: Power supply, RFID Card, RFID Reader, Personal Identification Number (PIN), IC / Microcontroller ATMega and already running. The system testing process shows the number 3 in the expert validation test and the number 3 in the expert validation trial. Based on the above calculation, it can be concluded that the validation results from the expert show that the value of 3 is between 2 - 3, which is classified in the valid category. The system process shows the number 3 in the expert validation and the number 2.9 in the validation trial of the user. Based on the above calculation, it can be concluded that the validation results from the user point to a value of 2.9 between 2 - 3 which is classified in the valid category.