ThesisOpen AccessMetadata saja
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The use of this pineapple fruit expert system can be used for expert alternatives because this expert system works like an expert who diagnoses diseases from questions that are then concluded into a conclusion in the form of a disease. The way this pineapple fruit expert system works, the system will diagnose diseases in pineapple fruit by diagnosing several symptoms that occur in pineapple fruit so as to produce a conclusion in the form of a disease along with explanations and prevention suggestions. This pineapple fruit expert system can only diagnose pineapple fruit disease. For login can only be used by admins or experts.
The methods in this expert system are certainty factor and forward chaining methods for system calculation and reasoning. Then the data collection methods used include interviews, observations, literature studies (journals, and the internet). The data obtained are in the form of symptoms, diseases, explanations of diseases, and explanations of disease prevention advice. The knowledge base obtained amounted to 56 knowledge and the symptoms obtained amounted to 21 symptoms, and the diseases obtained amounted to 7 diseases.
For the implementation of this expert system, the author created an expert system website using the PHP programming language as its Backend and using HTML, CSS and Javascript as its Frontend. The results obtained from this study of the system functioning properly have been tested with Black Box Testing.
ThesisOpen AccessMetadata saja
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Jambu kristal bisa menjadi salah satu buah yang memberikan banyak manfaat kesehatan yang bisa didapatkan. Hal tersebut tentu tidak terlepas dari kandungan yang dipunyai buah ini. Namun disamping manfaat kesehatan yang diberikan terdapat juga penyakit yang dapat mengganggu pertumbuhan tanaman jambu kristal. Penelitian ini mengembangkan aplikasi sistem pakar untuk diagnosa penyakit jambu kristal. Sistem pakar memiliki 6 basis pengetahuan tentang penyakit tanaman jambu kristal, dan menggunakan motor inferensi forward chaining. Sistem pakar dibangun dengan bahasa pemrograman PHP, dan DBMS MySQL. Sistem pakar memberikan output diagnosa dan solusi penanganan penyakit pada tanaman jambu kristal berdasarkan input gejala yang dilakukan oleh user. Sistem pakar yang dikembangkan berguna untuk membantu petani maupun masyarakat biasa dalam memperoleh informasi mengenai penyakit tanaman jambu kristal beserta solusinya secara mudah dan cepat.
ThesisOpen AccessMetadata saja
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Devi Saraswati, C1955201001, 2023. Expert System for Diagnosing Diseases in Curly Lettuce Using the Forward Chaining Method, Advisor I Veny Cahya Hardita, M.Kom. Advisor II Abdul Hadi,S.T., M. Kom. Curly lettuce is a green vegetable that has a texture and aroma that refreshes the look of food, lettuce has a lot of nutrients and vitamins, including calcium, phosphorus, iron, vitamins A, B and C. As for the background in this research, namely the research garden Monitoring or Hydroponics to find out the name of the disease based on the symptoms and data of the curly lettuce disease itself is still not computerized and to find out the disease in this curly lettuce they only look directly at it, such as looking at the leaves, stems, roots. This study uses the Forward Chaining method, the author's goal of using this method is to help and make it easier to diagnose curly lettuce disease that users are currently experiencing. Data collection techniques used are observation, interviews, literature study. Testing this system using Black Box Testing Based on the results of this study, it produced a system that can diagnose diseases in curly lettuce plants in Panatau Hydroponic Gardens in Palangkaraya, Central Kalimantan which can help people to find out what disease their plants are experiencing, and this system provides results in the form of 1 type of disease name in dry lettuce. This system only diagnoses 4 types of diseases in curly lettuce plants with their respective symptoms. For black box testing, this system is declared to function properly, there are no problems when running.
ThesisOpen AccessMetadata saja
2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir
ABSTRAK Syatary Al Rabbani, C1755201003,2021. Application of Forward and Backward Chainning Methods for the Diagnosis of Digestive System Diseases Based on Android, Advisor I Elia Zakharia, M.T, Advisor II Frengklin Matatula, S.Kom, M.MSi. Information technology plays an important role in supporting the life and efficiency of modern society today. All life has experienced an instant, efficient and effective approach in people's daily activities. Thus the hope of this research can contribute to the community to be able to check and estimate early to recognize digestive system disorders that are being felt. The purpose of this study is to create an application using the Android-based forward and backward chaining method that can be accessed anywhere and easy to use with a simple and Android-based interface that is known to be used by some people's smartphones. The writing methods used in this study include data collection methods (interviews, library studies), software development methods using prototypes and software testing methods using black box testing. The results of this study are an expert system application for diagnosing digestive system disorders that can run on the android operating system with internet access for database calls, which serves for early detection of digestive system disorders and wants to ascertain what digestive disorders are being felt so that it can be useful for general public
