ThesisOpen AccessPDF tersedia
2026•Skripsi, Thesis, Disertasi, dan Tugas Akhir
ABSTRAK Marshanda Rianti, C1955201045, 2023. Determination of palawija plant diseases using the Fuzzy Sugeno method, Advisor I Lili Rusdiana, M.Kom., Advisor II Amaya Andri Damaini, S.Kom., M.T. In growing crops, it is very potential to find diseases in these plants with various symptoms, resulting in crop failure that causes losses. The officials and farmers have difficulty in this because of limited knowledge about the symptoms and diseases that exist in crops. From this research, there is a process of implementing the Fuzzy Sugeno Method into a website-based system for determining plant diseases using html, sublime text 3 and PHP programming languages. This expert web system is able to diagnose diseases that exist in plants with symptoms that appear on these plants. The results of this study produce the output of plant disease diagnosis results, namely by selecting the desired symptoms so that the name of the disease that you want to know appears based on the data obtained. On the web there are symptoms of diseases and diseases of palawija plants, to provide information to facilitate the work of officials and farmers. Data collection techniques are carried out by means of observation methods, interview methods, and literature studies.
ThesisOpen AccessPDF tersedia
2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir
ZAKARIA, C1755201044, 2021, Rancang Bangun Sistem Pakar Deteksi Penyakit Pada Tanaman Semangka Menggunakan Metode Naïve bayes, Pembimbing I Hotmian Sitohang, M.Kom. Pembimbing II Sherly Jayanti, ST., M.Cs. The problem in this study is that farmers often suffer losses due to watermelon crops that are often affected by diseases that result in decreased fruit production. This is due to the limited number of experts or experts who can determine the disease of the watermelon fruit crop and how to deal with it. Therefore, assistance for the replacement of disease experts in watermelon is needed by farmers to help deal with diseases in watermelon appropriately. An expert system is a system designed to mimic an expert's expertise in answering questions and solving problems. This study designed an expert system software using the Naive Bayes method so as to determine the probability of disease based on symptoms by the rules obtained from experts. The final result of this study is the Application of Expert System of Disease Detection in Seamangka Plants Using Naïve Bayes Method to help Farmers detect diseases in watermelon plants.
ThesisOpen AccessPDF tersedia
2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Abraham Pamungkas Mara Putra, C1755201050, 2021, EXPERT SYSTEM FOR DIAGNOSIS OF DISEASE IN GOLDEN DOGS USING FORWARD CHAININGI METHOD, Supervisor I Sulistyowati, S.Kom., M.Cs. Supervisor II Arliyana, M.Kom An expert system is a system that stores the knowledge and reasoning of experts. Expert systems have the ability to solve problems like an expert. Expert systems can be designed to assist in medical consultations and diagnose golden dog diseases. sometimes dog keepers have a hard time checking their dogs. The reason may be limited veterinarians or limited funds. The golden dog disease diagnosis expert system was developed to help dog keepers in golden dog disease based on the symptoms and to find out what therapy can be done to overcome the disease. This system stores the basic knowledge about diseases and symptoms of golden dogs in the form of interconnected rules. The system will ask for symptoms of disease in golden dogs and use forward chaining inference to generate diagnosis and therapy as a solution. The disease diagnosis expert system is designed to be web-based for easy access anywhere. The technology used in making the system uses a programming language and SQL Server as a database. The golden dog disease diagnosis expert system is built to diagnose dog diseases based on answers to questions about symptoms and this system will evolve as disease domains can be added. The golden dog diagnosis expert system must provide a diagnosis of disease conclusions, but animal keepers are still advised to consult a veterinarian.
ArticleOpen AccessMetadata saja
2018•Artikel Penelitian dan Pengabdian
Computer field supports the existence of auxiliary program in medical development that is expert knowledge-based system, this system is one branch of Artifical Intellegence (AI). Expert systems are knowledge in learning about estimation or decision-making ability of an expert. Problem solving in the identification of a disease by using auxiliary program is needed a method and concept. Calculation techniques in computing systems are so important, given the level of need for information and the settlement of cases quickly.
The results of the study are expert applications that assist in providing results of diagnosis of symptoms managed the system, with inference using forward chaining, and reasioning with Dempster Shafer. Dempster Shafer's method is not monotonous in solving uncertainty problems, due to the addition or subtraction of new facts. Rule changes will occur, allowing the system to do the work of an expert.
Data changes will occur both to diseases, symptoms, solutions and rules, allowing the system to do the work of an expert. The results of manual calculations with the system gives results in accordance with the application of Dempster Shafer method. Management of rules in the database facilitates the search for symptoms within the system.
ArticleOpen AccessMetadata saja
2015•Artikel Penelitian dan Pengabdian
Pengolahan objek digital merupakan dasar dari identifikasi citra digital, melibatkan knowledge sebagai interprestasi informasi secara visual dengan menggunakan metode yang terkait untuk diimplementasikan. Daun jeruk yang tidak sehat disebabkan oleh gejala penyakit tanaman, dengan ditandai adanya noda (spot). Adanya kemiripan bentuk dan warna daun antara citra, maka penciri tekstur digunakan sebagai dasar dalam penelitian ini. Sistem yang dibangun diharapkan sebagai solusi untuk melakukan segmentasi terhadap daun tanaman jeruk melalui pengolahan citra, dengan melibatkan metode dan konsep. Tahapan proses yang dilakukan adalah file name, preprocessing, dan segmentation. Metode preprocessing dengan resize, clipping, normalisasi dan RGB ke gray. Segmentation dengan menggunakan Canny dan Otsu. Hasil pengamatan citra sejumlah 20 data untuk kategori penyakit Kudis 10 data, dan penyakit Kanker 10 data. Analisa hasil segmentasi Canny dapat mendeteksi jelas bercak pada noda gejala penyakit Kanker dan hanya sebagian dari penyakit Kudis. Segmentasi Otsu dapat mendeteksi jelas bercak pada noda gejala penyakit Kudis dan juga Kanker. Segmentasi dengan Canny, dipengaruhi juga oleh tulang dan lekukan daun yang tebal, sehingga dapat menimbulkan tepian yang muncul dan berdekatan pada noda penyakit Kudis. Segmentasi Otsu, dipengaruhi juga oleh lekukan dan ketebalan daun, sehingga dapat menimbulkan warna gelap yang muncul dan berdekatan pada noda penyakit.
