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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.

State Senior High School 7 Surakarta is one of the public schools located in Surakarta City. The library activities, including member data management, book processing, and book borrowing and returning, are still conducted manually using physical logbooks. This manual process is considered inefficient and prone to errors. The purpose of this study is to develop a book borrowing system at State Senior High School 7 Surakarta that serves as a tool to assist officers in recording, loans, and returning books. This system is designed using the CodeIgniter framework to support WEB displays, programming in PHP, and using MySQL for database management. This system is created using the System Development Life Cycle (SDLC) method with a waterfall model that includes the stages of analysis, design, implementation, testing, and maintenance. System testing was conducted using Black-Box Testing and the System Usability Scale (SUS). The Black-Box Testing results showed that all features and functions operated correctly. The SUS evaluation produced a score of 75.68%, indicating that users generally agreed with the implementation of the system, which falls under the "acceptable" classification.

Lot of problems arise in selecting scholarship recipients in a large number of submissions, the existence of several searches used, and the selection of files for scholarship applicants is still manual, so a system is needed that can speed up, help, and make it easier in the decision-making process to lighten work. student section. In supporting decisions this system will use the Naïve Bayes Classifier Method to determine what is acceptable and not acceptable. The NBC method can analyze and make improvements to old data, and the resulting data will provide simpler probability values that can later be used to make decisions. From the results of the research that has been carried out, it can be realized that the application of the data mining algorithm using the Naïve Bayes Classifier can be carried out to select scholarship recipients at Stikubank University Semarang. The result of the selection of Unisbank Semarang scholarship recipients is the accuracy value. 72% of the 135 data which is divided into 100 training data and 35 test data.

Number of fish seed can be measured by means of conventional observation using eye senses. But when the fish seed measured pretty much it will take a long time (not efficient) and cause incorrect measurement results (inaccurate). The accuracy of calculation of fingerlings is crucial trust between seller and buyer.During this time a sensor is used to detect the amount of fish seed is passed through a transparent hose using a light sensor (Light Dependent Resistor) and photodiode sensors as infra red light receiver. The level of accuracy of the sensor lies in the intensity of the light beam is received so that the sensor will be impaired if airya murky and there are air bubbles pass through the sensor so that the fish count error occurs.This research will be conducted design counters the number of fingerlings using infra red phototransistor sensor with a frequency of 20KHz to fish and then processed using the logic matrix. Results matrix logic into the data input to be processed by a microcontroller as the basis of results of calculation of the amount of fish.Development model studies using models of R & D (research and development) that produce a product in the form of the final product. Experiments were carried out using the type and length of catfish fingerlings with a length of 3 cm to 5 cm. Fish seed count tool has been tested to catfish farmers in the village Siwarak Ungaran City.The trial results calculators fish seeds have difference of 3% of the calculated results Manual or accuracy of calculation results have fish reaches 97%, then a counter of fish seed is acceptable to be used by catfish farmers.