Demand Forecasting of NPK Phonska Fertilizer in Central Java Using SARIMA Method
- DOI
- 10.2991/978-94-6239-687-6_29How to use a DOI?
- Keywords
- Fertilizer Distribution Planning; Time Series Forecasting; KNIME Analytics Platform
- Abstract
Fertilizer is essential to Indonesia’s agricultural productivity, yet subsidized fertilizer distribution often suffers from supply and demand mismatch. This study discusses the forecasting of subsidized fertilizer demand, particularly NPK Phonska fertilizer in Central Java. The forecasted demand data is intended to support distribution planning and assist in estimating warehouse capacity. The SARIMA (Seasonal Autoregressive Integrated Moving Average) method was applied to 29 regional / sales area time series using KNIME, an open-source analytic platform that simplifies complex modeling tasks. Model performance was evaluated using Mean Absolute Percentage Error (MAPE) and model provided satisfactory result in most of sales areas. While accuracy varied across regions due to external factors such as climate variability and policy constraints, the results demonstrate that SARIMA, combined with KNIME, is an effective and scalable tool for regional-level fertilizer demand forecasting.
- Copyright
- © 2026 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.
Cite this article
TY - CONF AU - Fajar Primazona Amdarso AU - Wangi Pandan Sari AU - Nugroho Dewayanto PY - 2026 DA - 2026/05/24 TI - Demand Forecasting of NPK Phonska Fertilizer in Central Java Using SARIMA Method BT - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025) PB - Atlantis Press SP - 427 EP - 438 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6239-687-6_29 DO - 10.2991/978-94-6239-687-6_29 ID - Amdarso2026 ER -