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Situngkir, Silvia Wulandari
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Medicine & Pharmacology

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Journal : Media Jurnal Informatika

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DECISION SUPPORT SYSTEM FOR OIL PALM SEED SELECTION USING THE SIMPLE ADDITIVE WEIGHTING METHOD Situngkir, Silvia Wulandari
Media Jurnal Informatika Vol 17, No 1a (2025): Special Issue Information System Media Jurnal Informatika (On Progress)
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i1a.5367

Abstract

Oil palm is one of the most important plantation commodities in Indonesia's plantation development. According to the Indonesian Ministry of Agriculture (2014), the total area of oil palm plantations in Indonesia is 11 million hectares, double the area in 2000. Indonesia is one of the largest palm oil producers in the world, providing employment for 16 million people, both directly and indirectly. The use of superior seeds is one of the important factors that determine the growth of oil palm. Maximum production can be achieved if the plants come from good quality seeds. Decision Support System is an interactive system that supports decisions in the decision-making process through alternatives obtained from the results of data processing, information and model design. By utilizing data processing technology that can provide solutions for farmers in choosing good seeds. In this research, the Decision Support System was developed with the Simple Additive Weighting Method where this system will assist farmers in determining quality seedlings ready for planting based on the criteria of the number of leaves, the age of the seedling in months, the height of the seedling in centimeters, and the diameter of the stem. With the results of the type of seedling DxP PPKS 718 3 is the most superior type of seedling for planting with a preference value obtained of 100, while the type of palm seedling DxP PPKS 239 1 is the worst quality seedling among 24 alternatives with a total preference of 24.
Decision Support System For Oil Palm Seed Selection Using The Simple Additive Weighting Method Situngkir, Silvia Wulandari; Siallagan , Sanri Yuliana; Ridho, Muhammad
Media Jurnal Informatika Vol 17 No 1a (2025): Special Issue Information System Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i1a.5367

Abstract

The selection of superior oil palm seedlings is a crucial factor in improving plantation productivity. However, the selection process, which often relies on farmers’ subjective experience, frequently results in inaccuracies in determining ready-to-plant seedlings. This study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to assist farmers in selecting high-quality oil palm seedlings based on four main criteria: number of fronds, seedling age, seedling height, and stem diameter. The SAW method was applied to calculate the preference value of each seedling alternative through normalization and weighting of all criteria. The system was developed as a web-based application using the Laravel framework and tested using the Black-Box Testing method to ensure functionality and accuracy. The testing results showed that the system produced recommendations identical to manual calculations (100% accuracy) and completed data processing in less than 2 seconds for 24 seedling alternatives. This decision support system has proven to be efficient, accurate, and stable in supporting the oil palm seedling selection process. The system’s main advantage lies in its ability to automate the evaluation process quickly and objectively, reducing human error and accelerating decision-making for farmers and plantation managers.
Co-Authors Muhammad Ridho Ramadhani, Fanny Siagian, Angel Agasari Siallagan , Sanri Yuliana Siallagan, Sanri Yuliana Sri Dewi