2026 · Thesis · 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.
2026 · Thesis ·
Akhmad Shodikin, C1855201041, 2023. Diagnosis of diseases and pests in noni
fruit with web-based forward chaining method, Supervisor I Lili Rusdiana,
M.Kom., M.Cs., Supervisor II Catharina Elmayantie, M.Pd.
Noni is one of the tropical plants that can be used as food ingredients and
herbal medicine. The presence of pests / diseases in noni fruit planting areas
usually does not cause crop failure but can result in reduced yields and decreased
quality of noni fruit produced. Based on these problems, the author designed an
artificial intelligence system to diagnose diseases and pests in noni fruit plants,
where the system to be developed by the author can provide benefits for farmers
who need consultation on pest disorders and diseases in noni fruit plants.
In conducting this Final Project research there are three methods used by the
author which include data collection methods, system development methods and
inference methods used in the system. The data collection methods are
observation, interviews, and literature studies. The system development method
that the author uses is the Rapid Application Development (RAD) method. While
the inference method used in the system is the Forward Chaining method as the
brain of the expert system built by the author.
The final result of this study is in the form of an application for disease
diagnosis in noni fruit plants based on the web with a forward chaining method
that can be used by noni fruit farmers to help the cultivation process of noni fruit
plants so that the quality of the fruit produced is of high quality.
Keywords: forward chaining, pests, noni, disease, website.
