This study develops an image processing application to automatically detect the ripeness level of tomatoes using the YCbCr color space transformation. This method is effective because it is able to separate the luminance and chrominance components, so it can identify color changes that indicate the ripeness level of tomatoes, namely unripe, semi-ripe, and ripe tomatoes. The application is designed with matlab and uses a GUI interface that makes it easy for users to upload and process images. Based on trials on image samples, the system is able to classify tomato ripeness with 100% accuracy on a limited test dataset. The classification process is based on three main parameters: the red area ratio, the average value of the Cr channel, and the average value of the Cb channel. The results of the study indicate that this approach can be used as a digital solution in the automatic and efficient tomato sorting process

Jati Village has a unique potential in processing organic waste into Liquid Organic Fertilizer (POC). The waste processing is an effort to preserve the environment and also provide added economic value to the local community. However, in making sales, the community in Jati Village has not implemented the right marketing strategy. Digital marketing offers various tools and platforms that can be used to promote POC. Digital marketing strategies that can be applied include the use of social media such as Instagram, Facebook, Tiktok and Youtube to promote POC through interesting and educational visual content, as well as direct interaction with consumers. By implementing digital marketing strategies, Jati Village can increase the visibility of their POC products, expand their customer base, and increase revenue. This can support the SDGs program, especially point 8, namely Equitable Village Economic Growth. Utilizing technology for marketing can help POC sales sell evenly.