Track: Information Technology
Information engineering strategies play a vital role in agriculture 4.0 to increase the product value, one of which is sugarcane commodities. Sugarcane production estimation has traditionally been practiced by recording data on a paper note. The recorded data were subsequently transferred to a computer by a sugar factory plantation assistant. Errors in calculating or inputting data into a computer can occur, storage space for paper documents is also limited, and farmers cannot independently calculate their production potential. Therefore, our study aims to create an android-based sugarcane production application as an information engineering strategy to predict sugarcane yields by farmers and plantation assistants. This study used the waterfall method with the SDLC (Software Development Life Cycle) model. Observations were performed by collecting data. Interviews were conducted with plantation assistants to produce related information on how to calculate sugarcane estimation. The analysis was carried out by examining the relationship between observation and interview data as a tool for developing an application interface and algorithm system design. The application makes it easier for farmers to estimate production potential, allowing them to get data on sugarcane productivity during harvest. Hence, the sugar factory could guarantee the quantity and quality of sugarcane raw materials.
Agriculture 4.0, Productivity, Estimation, Android Applications and Sugarcane.