Preliminary Study of Palm Smart Transportation: Case of Sei Tandun - Sei Rokan District PT Perkebunan Nusantara V Indonesia

Abstract

The problem of chain losses in transportation process of Fresh Fruit Bunches (FFB)'s PT Perkebunan Nusantara V Indonesia, predicted increase. The main objective of this preliminary study is to build the smart transportation concept of FFB. This concept is built based on problems that are assumed under certain conditions, by integrating automatic measurement of FFB yields, because it is measured using a weight sensor installed at the FFB collection point and proceed to the palm oil processing mill. The measurement results will be communicated by IoT to the trucking station so that the capacity and number of trucks can be calculated precisely. The number of transport trucks will determine the optimal route with the genetic algorithm. This optimal route will serve as a guideline for unmanned trucks to move in harmony according to data input that is automatically read from the palm oil plantation environment, through data communication with IoT.