Publication Search

The low proportion of Grade A harvest quality in Hokkaido corn farming remains a challenge for horticultural agribusiness practitioners. This study aims to develop an operational strategy based on a managerial evaluation of key production factors to improve technical efficiency and harvest quality. The research was conducted at PT Agricole Indonesia Makmur, Cianjur, using data from 24 planting periods in 2024. Six production input variables were analyzed to identify the most influential factors on yield quantity and quality. The results show that only three variables watering frequency, organic fertilizer, and plant age at harvest consistently contributed significantly to the production of Grade A output. Although these variables are inelastic, they play a critical role in maintaining quality. The proposed strategy includes a 10% increase in harvest quantity and a 30% conversion from Grade B to Grade A. Simulation results indicate an additional 7.67 kg of Grade A yield per planting period, generating a value increase of IDR 239,490. The strategy is considered feasible with a positive Return on Investment (ROI) of 14.04% assuming a Grade A selling price of IDR 35,000/kg.

Optimizing the profit from coffee bean production is crucial in the coffee industry consider the competitive environment and the need for maximize revenue. The aim of this research is to use the Simplex linear programming method to determine and maximize profits from coffee bean production. This technique is used to ascertain the best combination of coffee bean production volumes while still considering a number of limitations, including scarce resources (labor, raw materials and machines) and market demand. The findings of this research show that by using the Simplex approach, companies can maximize the profit generated from coffee bean production while adhering to the existing constraints. The simulation conducted provides an optimal solution in terms of the precise production volume for each type of coffee product, contributing significantly to production planning and business strategy.