· Thesis · Skripsi, Thesis, Disertasi, dan Tugas Akhir
ABSTRAK
Dano Snaji Taka, C1755201009, 2021. Application of Tsukamoto's Fuzzy Logic in the Decision Support System for the Selection of Prospective Village Heads in Papar Pujung Village, Supervisor I Lili Rusdiana, M. Kom., Supervisor II Elok Faiqotul Himmah, S. Si., M. Sc .
Papar Pujung Village is one of eleven villages located in the West Lahei sub-district, North Barito Regency, Central Kalimantan which has long held democratic village head elections. This research was made to simplify the process of selecting prospective village heads using the Tsukamoto fuzzy system with parameters (Education, Age, Experience and Interview) and using Microsoft Excel software in the calculation process. Data collection methods are literature, documentation and interviews.
The results obtained with the decision support system for the election of prospective village heads using Tsukamoto fuzzy which can facilitate the process of calculating the value obtained by prospective village heads with 4 input parameters, namely education, age, experience and interviews on system testing data. The score obtained by the C1 village head candidate is 76.98275862.
Keywords: Fuzzy Tsukamoto, Election of Candidates for Village Head, Decision support system
· 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.
