Journal Basic Science And Technology, 1(1),14,2012 ISSN : 20898185 1 Integration Fuzzy System into Functional Structural Plant Model Based Environment Conditions Suhartono Faculty of Science and Technology UIN Malang Department of Information Engineering Malang, Indonesia suhartono@electeng.its.ac.id Mochamad Hariadi, Mauridhi Hery Purnomo Faculty of Industrial Technology ITS Department of Electrical Engineering Surabaya, Indonesia hery@ee.its.ac.id !" # " $%" & ! $% ’$%" ’$% ( ) " *+$ (( *+$ ! *+$ (( ,% (( ( *+$ - ./+ .+/ , I. INTRODUCTION The modeling of plant growth is initialized by Aristid Lindenmayer, when he introduced the theory of Anabaena catenula cell growth using the method called rewriting string. Later on, this rewriting string is known as the Lindenmayer System (LSystem) [1]. Parallel rewrite systems or Lsystems provide a useful formal model for the description of developmental processes in organisms. We will give some rudimentary definitions for contextfree Lsystems with stacking capability. The LSystem method can explain the way how the plant growth using grammar [2]. Functionalstructural plant models, FSPM [3,4] or virtual plant models [5,6] are the terms used to refer to models explicitly describing the development over time of the 3D architecture or structure of plants as governed by physiological processes which, in turn, are driven by environmental factors. The development of LSystem to explain the plant growth based on the environment condition can be seen on [7, 8, 9]. It is then improved by [10]. The basic concepts of axiom and rules are the basis of how the growth of LSystem that works [11]. It also has been identified that the environment also effects the plant growth [12]. At the beginning of plant growth, the sprout of plant initially denoted as axiom. Let axiom be the sprout of plant at the beginning of plant growth. This characteristic rules are illustrated in the further improvement of LSystem that follows the plant growth naturally. It is followed by the growth of stalk, branch, leaf and bloom. The rule of plant growth is represented by the axiom. On the other hand, the value of axiom is generally generated using the probability [13]. To make the axiom value closer to the real environment condition, we propose the use of fuzzy system. This research is aimed to generate plant growth with L System using axiom and syntax grammar based on the fuzzy system. Design of plant growth used modeling language XL on the GroIMP [14] platform on Windows Operating System. The output graphic on 3D reflected on plant growth as a virtual plant growth system. Features of GroIMP like interactivity or visualization play an important auxiliary role in the modeling process. It is these features that enable us to obtain a both intuitive and indepth insight into the model. A realistic image of a virtual plant can have a value in itself, or be used for communication and presentation purposes. II. METHODS Research is carried out at Multimedia and Networking Laboratory, ITS Surabaya. Some references on plant growth are also used. Some data is collected on the plant growth