QUEENAPP: A DECISION-SUPPORT PRODUCTION SCHEDULING SYSTEMS TOWARDS IMPROVED PINEAPPLE FARMING
DOI:
https://doi.org/10.21837/pm.v23i39.1915Keywords:
Decision Support System, Pineapple Farming, Queen PineappleAbstract
Pineapple (Ananas comosus) is one tropical fruit that is most traded worldwide. Currently, around 90 countries and areas around the world grow pineapples. In the Philippines, Queen Pineapple (QP), which is a variety of pineapple, occupies 2,525 hectares of agricultural land, and is the prime agricultural commodity in Camarines Norte, where 92% of the pineapple in the Bicol Region comes from. For many years, the production of QP in the province, as well as in the country, has relied mainly on no particular schedule and thus has no access to data-driven insights that help with decision-making. In this study, the main objective is to develop an application that will improve pineapple farming and enhance production scheduling using a rule-based algorithm. A Rational Unified Process was used to develop the system, where the Projected Planting Schedule using Timetable, Automatic Production Cost, and ROI Computation, and Data Visualizations are the main features that helped the farmer maximize the resources in planting and harvesting pineapple. The respondents agreed (4.17) with the overall perceived performance and strongly agreed (4.34) on the acceptance of the system; these results strongly suggest that the system is well-designed, promotes positive user experiences, and meets its intended objectives in optimizing pineapple farming processes. The system was well accepted by end users, thus it is usable and effective.
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