Land Suitability for Mustard Plants Using Multi-Objective Optimization by Ratio Analysis Method

Abstract

Mustard can be developed or grown from a financial and business perspective to meet buyer demands and capture significant market opportunities. Mustard is a highly adaptable horticultural crop with a relatively short harvest time. This mustard offers many advantages for the farmer. For example, many farmers plant mustard in Samarinda, East Kalimantan, Indonesia. Despite being highly adaptable, some species of mustard greens do not thrive well in certain soils. Good soil is essential for optimal results when growing mustard greens. The planted mustard can be selected using decision support based on land criteria to get the best results. The purpose of this study is to recommend suitable mustard based on area requirements using a multi-objective optimization by ratio analysis (MOORA) approach. MOORA is a decision-making method that assists in choosing the best alternative from several options or alternatives based on several criteria or objectives. This observation used five criteria: Soil type, soil pH, precipitation, temperature, site elevation, and six mustard alternatives. Based on the trial land, the mustard recommended by the MOORA method is a Spoon Mustard or Pak Choy with a Yi value of 7.6698. So those chosen as mustard planted on the land are Spoon Mustard or Pak Choy. For further research, it is necessary to add or adjust new criteria and sensors in real-time that can be applied to increase efficiency in mustard towards smart farming that focuses on better results while maintaining the balance of nature.