Application of Linear Programming to Optimize Sugarcane Production and Sugarcane Farming Income at HGU Jengkol PT. Perkebunan Nusantara X

Abstract

Sugar production in Indonesia is currently unable to meet domestic needs, even though the potential demand for domestic sugar is still relatively high. Therefore, targeted efforts are needed to predict the decline in sugar production. One of the efforts in that direction is to optimize sugarcane production of HGU Djengkol PT Perkebunaan Nusantara X. This research aims to maximize income and increase sugarcane production by optimizing the area per crop category/ This research was carried out at HGU Djengkol PT Perkebunan Nusantara X. This research will take place from October 2023 to November 2023. The data collected is in the form of secondary data, namely sugarcane production data and income for the 2022 growing season, climate/weather data, and area per crop category. The data analysis method used is Linear Programming using POM software for Windows. The results showed that optimization of the broad composition per plant category can increase the income of HGU Djengkol by 107%, with actual income of Rp. 26,974,475,108, - after being optimized to Rp. 28,817,240,000,-, to get maximum income, by eliminating the category of ratoon 2 plants with a combination of area per category of plants Pure PC 30%, PC BR, 5%, RT 1 35% and Lahan Bero 30%. can increase HGU Djengkol sugarcane production by 102% with actual sugarcane production of 100,488 tons after being optimized to 102,432 tons.