INTRODUCTIONThis section introduces the reader to the subject area in the project. It may include such things as Background, Problem Statement, Scope, Objectives, and Benefits.

Example: Many corn fields in every county in Indonesia develop disease problems every year that affect yield and quality of the grain crop. As history has shown repeatedly, corn diseases can and do periodically cause significant yield losses in patterns that are difficult to predict in advance. Corn diseases typically cause minimal damage over the entire state, however, some acreage suffers significant disease damage each year. Fortunately, corn has effective genetic resistance to many of the important diseases, however, numerous challenges remain in management of corn diseases.

This includes the seed and seedling diseases, leaf diseases, stalk diseases, and ear rots. The occurrence of any specific disease depends on environmental conditions, cultural practices, and the hybrid that is grown.

This simple expert system is developed to cope with this kind of corn desease problem. This simple expert system help farmers to determine what kind of desease suffered by their corn plants. Thus, can help them to make decision what kind of insectisida must be used.

WHAT IS EXPERT SYSTEMThis section elaborates the basic concepts and theory related to your project such as what expert system is.

Example: An expert system is a computer application that solves complicated problems that would otherwise require extensive human

expertise. To do so, it simulates the human reasoning process by applying specific knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert

systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Books and manual guides have a tremendous amount of knowledge but a human has to read and interpret the knowledge for it to be used.

There are several major application areas of expert system such as agriculture, education, environment, law manufacturing, medicine power systems etc. In this article we will review about agriculture, education, environment and medicine expert system.  These four applications widely use among the practitioners due to the maturity of the field by revealing the acceptance of the technology by the commercial sectors.

EXPERT SYSTEM DESIGNThis section explains the design of your expert system. Design can be represented using either flow chart diagram or framework diagram to explain how your expert system works.

Example: Our Expert system for identifying corn plant deseases typically have a number of several components. The knowledge base is the component that contains the knowledge obtained from the domain expert. Normally the way of representing knowledge is using rules. The inference engine is the component that manipulates the knowledge found in the knowledge base as needed to arrive at a result or solution. The user interface is the component that allows the user to query the system and receive the results of those queries. Many ES's also have

an explanation facility which explains why a question was asked or how a result or solution was obtained.

The framework of this expert system is depicted by Figure bellow. It consist of acquitition module, knowledge base, Inference engine, and explanatory engine. It is also has database, representation of knowledge, method of palusible reasoning, and the last one is the human window. Human window means user interface.

EXPERT SYSTEM DEVELOPMENT This section explains the development of your project by using prolog. Thus, it must explain the facts and rules of your expert system.

Example: This expert system is developed by using prolog. Prolog is a general purpose logic programming language associated with artificial intelligence and computational linguistics.

Prolog has its roots in formal logic, and unlike many other programming languages, Prolog is declarative: The program logic is expressed in terms of relations, represented as facts and rules. Execution is triggered by running queries over these relations.

Fact and Rules

EXPERT SYSTEM TEST CASE AND RESULTThis section explains the testing of your expert system. This sections hould be divided into two sections. The first section explains the testing scenario i.e. the input for your expert system. The second section explains the testing result i.e the output of your expert system.

Bellows are the example of test case result, it can determine the desease:

CONCLUSIONThis expert system effectively can help farmer to determine kind of corn plant deseases.

FURTHER INFORMATION AND PROJECT URLhttp://corndeseasedetectionproject.wordpress.com

Information System DepartmentFaculty of Information Technology

INSTITUT TEKNOLOGI SEPULUH NOPEMBERJl. Raya ITS – Information System Dept. (TC) Building

ITS Sukolilo Campus Surabaya 60111Telp. (031) 5922949 ext.

Fax. (031) 5964965Website. http://websi.its-sby.edu/

Email. info@its-sby.edu

KS091201 DISCRETE MATHEMATICS(FINAL PROJECT)

Development of Simple Expert System for Identifying Characteristic of Blood Type

animal(sparrow). has_feathers(sparrow).

bird(X) :- animal(X), has_feathers(X).bird(X) :- animal(X), has_feathers(X).

grandparent(X, Y) :- parent(X, Z), parent(Z, Y).

Developed ByMOCHAMMAD ADJI FIRMANSYAHNRP 5209100003RIANSYAH HALIMINRP 52091000AINNUR ROFIQNRP 52091000RIANSYAH HALIMINRP 52091000

Supervised ByMr AHMAD MUKHLASON