Decision Support System For Determining The Type Of Rice Plant Fertilizer Using The SAW Method

Authors

  • Putri Ameliya Teknik dan Ilmu Komputer, Universitas Nusantara PGRI Kediri, Kediri, Jawa Timur, Indonesia
  • Sucipto Sucipto Teknik dan Ilmu Komputer, Universitas Nusantara PGRI Kediri, Kediri, Jawa Timur, Indonesia https://orcid.org/0000-0003-3412-002X
  • Arie Nugroho Teknik dan Ilmu Komputer, Universitas Nusantara PGRI Kediri, Kediri, Jawa Timur, Indonesia

DOI:

https://doi.org/10.51903/d8bwhr12

Keywords:

Decision Support System, Simple Additive Weighting, Rice Fertilizer, Fertilizer Selection, Web-Based System

Abstract

The selection of appropriate fertilizer is one of the essential factors in supporting effective rice cultivation. However, the wide variety of fertilizer products available often makes it difficult for farmers to determine the most suitable fertilizer based on multiple considerations. Therefore, an objective decision-making approach is required to assist users in selecting fertilizer alternatives. This study aims to develop a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to support the selection of fertilizers for rice plants. The system was developed using PHP as the programming language and MySQL as the database management system. The study utilized data collected through direct observation, interviews with the owner of UD Unggul Pertanian, and a literature review. Ten fertilizer alternatives were evaluated based on five decision criteria, namely price, nitrogen (N) content, phosphorus (P) content, product availability, and soil condition. The values of each criterion were converted into a scoring scale before being processed using the SAW method to obtain normalized values, preference scores, and alternative rankings. The results indicate that the proposed system successfully ranked the ten fertilizer alternatives, with alternative A10 achieving the highest preference value of 0.76255, making it the most recommended fertilizer among the evaluated alternatives. This study contributes to the implementation of the SAW method in a web-based decision support system for fertilizer selection and provides a systematic decision-making tool that can assist users in evaluating fertilizer alternatives based on predefined criteria.

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Published

2026-10-28

Issue

Vol. 5 No. 3 (2026): November

Section

Web-Based Information Systems and Knowledge-Based Systems

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Copyright (c) 2026 Putri Ameliya, Sucipto Sucipto, Arie Nugroho

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