Sistem Pendukung Keputusan untuk Menentukan Jenis Bibit Tanaman Jagung Unggul yang Tepat dengan Metode SAW Berbasis Web

NAHAK, Yasintus Sivers (2025) Sistem Pendukung Keputusan untuk Menentukan Jenis Bibit Tanaman Jagung Unggul yang Tepat dengan Metode SAW Berbasis Web. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

Agriculture is a vital sector with the potential to drive local economic growth in a region, one example being corn farming in Malaka Regency. The first crucial step in achieving optimal harvest results is selecting the right corn seeds. The ability of seeds to adapt to environmental conditions and meet specific land requirements is essential for the success of corn cultivation. Therefore, a decision support system is needed to assist farmers in choosing the best corn seeds based on various important criteria. In this study, the Simple Additive Weighting (SAW) method is used to develop a web-based decision support system that helps in selecting the most suitable corn seeds. The system takes into account several key factors, such as cob shape and quantity, root strength, productivity, planting age, and resistance to pests when providing seed recommendations. This system features a user-friendly interface and is accessible online, allowing farmers to make better-informed decisions anytime and anywhere. Evaluation results show that the system is capable of delivering accurate and useful recommendations, thereby helping farmers increase the productivity and efficiency of corn farming.

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