Overview

Original Research

MARKOV CHAIN ANALYSIS FOR NATURAL DISASTER PREDICTION OF PALM OIL INDUSTRY SUPPLY CHAIN AT JAMBI PROVINCE

TAUFIK BAIDAWI 1, MARIMIN 2, SUPRIHATIN 3, MULYORINI RAHAYUNINGSIH 4, and WISNU ANANTA KUSUMA 5.

Vol 17, No 06 ( 2022 )   |  DOI: 10.5281/zenodo.6731256   |   Author Affiliation: Department of Agro-industrial Technology, Faculty of Agricultural Engineering and Technology, IPB University Bogor, Indonesia - 16680 1 to 4; Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University Bogor, Indonesia - 16680 5.   |   Licensing: CC 4.0   |   Pg no: 1169-1189   |   To cite: TAUFIK BAIDAWI, et al., (2022). MARKOV CHAIN ANALYSIS FOR NATURAL DISASTER PREDICTION OF PALM OIL INDUSTRY SUPPLY CHAIN AT JAMBI PROVINCE. 17(06), 1169–1189. https://doi.org/10.5281/zenodo.6731256   |   Published on: 25-06-2022

Abstract

Every year, natural disasters cause damage and losses. In this context, disaster prediction needs to be proposed to address disasters and emergencies by improving disaster prediction during disaster response. Therefore, collecting historical data activity will assist in classifying disasters and predicting future disaster events. Natural disaster Prediction and response systems require to predict natural disasters. Markov analysis is applied the analytical technique in this research, which is frequently used in the palm oil industry for Supply Chain operation. The research contribution presents the context of natural disaster prediction, which relates to palm oil agro-industry supply chain management. It is connected to predicting future disaster events by applying Markov chain analysis for Natural Disaster Prediction in Jambi Province. The aim is to minimize the impact of disasters on the oil palm supply chain.

Keywords

Mrkov Chain; Natural Disaster; Prediction; Supply Chain