Palm oil is one of the main commodities in Indonesia which has an important role in the agribusiness sector. An efficient palm oil harvesting process greatly determines the productivity and quality of the harvest. PT BKI SSB, as a company operating in the palm oil sector, continues to strive to improve operational efficiency and ensure optimal harvest quality. One way to achieve this is by implementing machine learning technology in the harvesting activity monitoring system. This article discusses the application of machine learning to monitor and analyze oil palm harvesting activities at PT BKI SSB. Through the use of this technology, it is hoped that it can increase accuracy, efficiency, and provide better data-based solutions in managing company resources.
