Green city is every bodies’ expectation. Every country highly competes to increase the number of green city. Thus several types of measurement standard for city green level appear and being practically implemented. The study’s objective is to develop a decision support model (DSM) for determining the Indonesian green cities based on the main method fuzzy logic. At this juncture, the Indonesian green city determined by green score of each city in Indonesia. The main method fuzzy logic interconnected to statistics and mathematics approaches. Slope calculation that combined with fuzzy logic conception was operated to treat three of five parameters believed in the model. The model design was delivered by using the object oriented approach and the model itself constructed via programming language Python in Google Colab platform. Finally, the constructed model is able to exhibit a hundred Indonesian cities’ green scores.

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Food crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region's agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The goal of this research is to develop an extended Fuzzy logic-based Decision Support Model (FDSM). The model is able to propose the best food crops to plant on a certain plot of land or location. These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location. These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location. The primary methods employed in this study are fuzzy logic and Euclidean distance measuring. The fuzzy logic method is used on purpose to prevent confusing values and to consider parameter values based on human linguistics. The fitness value is then calculated using the Euclidean distance value as a basic value for choice suggestions. In this follow-up study, three parameters from previous research were included, for a total of eleven factors (water availability, temperature, humidity, land height, land slope, rainfall, land porosity, rocks on the surface, flood potential and water acidity level). biological food plants in search of the best value based on eight different types of food crops, the model generates simulation suggestions for 514 administrative areas in 34 districts or cities in Indonesia (rice, maize, peanuts, soybeans, green beans, sweet potatoes, cassava and wheat).