Rumah Tahfidz Qur'an is an alternative for people, especially parents who want to educate their children to be able to read the Qur'an. Therefore, the existence of this system can help pmi to determine the number of requests based on blood type. The results of testing the system using black box show that this system is running properly without any errors, and it is working properly. The calculation results using the SMA method in our system are appropriate, and can display the number of blood demand stocks in each period. The results of our products are in the form of a web consisting of the login menu, the main menu, the calculation results. Data analysis used the SMA method to determine the rate of prediction errors in this system, while testing this system used a black box. The data we use for this forecasting is the demand for blood from July 2021 to June 2022. The model used to build this system is a waterfall with stages of analysis, design, implementation and testing. The purpose of this study is to build a blood demand forecasting system with the SMA method. Blood stock is an important factor to support activities in this PMI organization by paying attention to the condition of this month /period and predicting the next period. This method is applied to determine the number of blood requests in PMI in the Asahan Regency area. Simple Moving Average (SMA) is a method used to forecast a state of affairs in the next period.
Every menu on the system, when used, has no errors so that this system can be utilized by users and developed in applications based on Android and iOS. This application design offers a website display of information on how to pay state revenues that can run well. In addition to making it easier for the public to deposit state revenues, this study also shows that automata theory can help design a payment information application system. System testing uses the black box testing method to determine how far the functioning of the components or menus on the system has come. The FSA design and testing phase uses the JFLAP application, while the application design stage uses the Laravel framework.
The system development uses the waterfall model while collecting the agent's data. This study aims to develop an information system on how to pay state revenues to assist the public in depositing state revenues through payment channels at the collecting agent by applying the Finite State Automata (FSA) modeling concept.
The government modernizes the state revenue system by launching the State Revenue Module (MPN), which connects the billing code generation system with the payment system at the collecting agent.
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