Development of Cloud-Based Decision Support System for Fertilizer Management - A Case Study in Wilmar Oil Palm Plantation

DOI

10.2991/978-94-6463-086-2_69How to use a DOI?

Keywords

Decision Support System; Fertilizer; Management; Oil Palm Plantation

Abstract

Indonesia is one of the largest palm oil-producing countries. The industrial management system in oil palm plantations is essential to realize the company's goals. On the other hand, many oil palm plantations in Indonesia still apply conventional data management. The deficiencies have an impact on decision-making that are slow, less accurate, and not on target. The application of precision agriculture can assist in the management of oil palm plantations, one of which is the provision of an information system as a Decision Support System (DSS). The DSS can accommodate fertilizer management needs. By using the DSS, fertilization can be controlled precisely and fast action. The purpose of this study was to develop a cloud-based Decision Support System (DSS) for fertilizer management. The DSS was developed using an expert system which the model can combine big data to provide advice or recommend a fertilization management in oil palm plantations. The implementation of this DSS can be in the form of an application or platform that becomes a database of plantation activities. The DSS will accommodate all inputs for fertilization activities such as the number of oil palm plants, age of oil palm, land area, etc. The data will be used to create an expert system related to fertilizer dosage recommendations and the amount of fertilizer needed at the time of planting. DSS related with fertilization management includes the dosage of fertilizers. In this study, in the model development phase, we examine the algorithm used in Ferticalc to know wheter it is suitable for fertilizer prediction for oil palm plantation. Algorithm used in Ferticalc suitable for development of DSS to predict fertilizer needs for oil plam plantation. This was indicated by determination coefficient value was 0,8494. With this Decision Support System, users can provide direct action to the production department of oil palm plantations according to system recommendations. This research is expected to be a reference for fertilizer management systems at Wilmar International Plantation that can be accessed by anyone and can help optimize oil palm production.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ardan Wiratmoko
AU  - Andri Prima Nugroho
AU  - Mukhes Sri Muna
AU  - Muhdan Syarovy
AU  - Suwardi
AU  - Sukarman
AU  - Lilik Sutiarso
PY  - 2022
DA  - 2022/12/28
TI  - Development of Cloud-Based Decision Support System for Fertilizer Management - A Case Study in Wilmar Oil Palm Plantation
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 509
EP  - 516
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_69
DO  - 10.2991/978-94-6463-086-2_69
ID  - Wiratmoko2022
ER  -