Micro, Small, and Medium Enterprises (MSMEs) are an important sector in Indonesia's economy. However, many MSME actors still face challenges in managing financial reports in a simple and effective manner. One solution is to utilize an accounting application based on Microsoft Excel, which is easy to operate and requires no additional costs. This community service activity aims to provide training and mentoring for MSME actors in using Excel-based accounting applications to record transactions, prepare simple financial statements, and monitor the financial condition of their businesses. The implementation of this activity was carried out online through Zoom Meetings and WhatsApp Groups. The methods used included socialization, interactive online training, and online mentoring. The results of the activity showed that participants were able to understand the basic concepts of accounting records and were capable of using a simple Excel application to record daily transactions, prepare income statements, and cash flow reports. This activity is expected to improve financial literacy and the independence of MSME actors in managing their business finances

The application of machine learning, particularly the *Convolutional Neural Network* (CNN) method, has experienced rapid development in the medical field. Through the process of image data grouping, CNN is capable of classifying based on the similarity of characteristics and attributes of the images. This capability is highly beneficial in the healthcare sector, especially in differentiating chest X-ray images. This study aims to evaluate the DenseNet architecture while applying it to classify Covid-19 disease by utilizing 98 chest X-ray images as training data. The test results showed that the average *loss* value on the training data was 0.8621, with an average accuracy of 0.6950. Meanwhile, the average *loss* value on the validation data was recorded at 1.0682, with an average accuracy of 0.6399. From these results, it can be concluded that the model performed better on the training data than on the validation data, indicating the occurrence of *overfitting*. Therefore, further adjustments to the model are necessary to improve its performance on the validation data

This community service activity was conducted in RT 004, Tebet Timur Dalam, with the aim of introducing and promoting Microsoft Project as a tool to enhance project management skills. Microsoft Project is software that facilitates efficient project planning, management, and evaluation. The implementation methods included material delivery, discussions, and practical simulations using simple case studies relevant to the participants' needs. The results of this activity demonstrated that participants gained a basic understanding of project management concepts and fundamental skills in using Microsoft Project. This training is expected to enhance the community's ability to design and manage projects, whether for personal or communal purposes, thereby supporting more structured and effective activity management.