The conventional question and answer method has limited time, space and level of understanding from each student so that it becomes an obstacle to the ineffective teaching and learning process. Global pandemic events that have a negative impact on the education sector. So that the teaching and learning process is temporarily stopped at school and diverted online. This study aims to produce a chatbot application as a media for distance learning that helps the teaching and learning process of teachers and students . In practice, This research uses telegram as a chatbot media. The method used for data collection is by interview, literature study, and observation. Testing will be carried out with a black box, calculation of accuracy, and a user acceptance test in the form of distributing questionnaires. The results of this study produce a Chatbot Application as an E-Learning Media for Students that can help teachers in providing distance learning to students efficiently and easily.

This study applies data mining in determining recommendations for mustahik. The application is carried out using a classification method with an artificial neural network algorithm where the attributes used are age and type of work of the head of the family, the condition and ownership of the residence, the place of sewage, family monthly income, number of dependents, and diet. Tests are carried out using a combination of values ​​between learning rate, epoch, k-fold, and hidden layer neurons. Based on the test results from the classification process, it is found that the artificial neural network algorithm has the highest accuracy when the number of hidden layer neurons is six, the learning rate is one, the fold is seven, and the number of epochs is 200, which is 92.09%. The test results are then displayed on the Mustahik information system page.