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•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
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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.
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In the process of assessing or evaluating achievements or work that shows the results of these achievements, they often discuss a separate problem for the company where the employee is concerned, especially at PT. Kereng Pangi Perdana. At this time to determine the level of employee achievement and classify the results, the company often only uses the process of using manual calculations using Microsoft Excel without a clear method and site, so the results are not optimal. Because of these problems, we need a system with a special method that can handle these problems so that the process of making and grouping employees with the level of achievement achieved is appropriate and maximal. This research uses agile research method (software development method) with the concept of a system model using the Scrum Model and the development of data collection observations, documentation and literature studies. Cluster model using the concept of Fuzzy C-Means as a method of grouping. The application of the Fuzzy C-Means Method can be used to classify data such as employee achievement levels based on Communication, Personality, Social, Professional, Attendance, Discipline, Craft and IQ (intellectual). This research was conducted to build a site that can be used to carry out the achievement process. The results of the process and system testing carried out obtained results of 88.89% in determining outstanding employees against 90 data for 6 periods of active working period of employees of PT. Kereng Pangi Perdana. Keywords : Fuzzy C-Means, Determination of Achievement Employees
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Vulnerability is a condition or condition that can reduce the community's ability to prepare for disaster hazards or threats. The purpose of knowing vulnerability is to reduce the possibility of adverse impacts caused by disasters. The process of predicting flood vulnerability using the Mamdani Fuzzy Inference System method. In the tests carried out by manual calculations and the program uses several defuzzification methods, namely Centroid, SOM (Smallest Of Maximum), LOM (Large Of Maximum), MOM (Mean Of Maximum), Bisector. Furthermore, manual calculations are compared with calculations from the program.The problem of this research is how to design and create a 2D Platformer game based on Android that has an educational element in it that can help users to provide entertainment and learning simultaneously while playing games. The problem of this research is how to implement mamdani fuzzy logic to predict flood vulnerability in Palangka Raya City and how to build a mamdani fuzzy system to predict flood area vulnerability in Palangka Raya City area based on Web with Php programming language. This research produces outputs that are safe, vulnerable, very vulnerable and flood vulnerability. For manual calculations, it begins with determining the fuzzy set of each variable, forming fuzzy rules (implications), composition of rules using the MAX function, confirmation (defuzzification). Meanwhile, the program starts with creating an interface design using Balsamiq Wireframes. Then proceed with implementing it into the PHP programming language code so that the design of the flood vulnerability prediction application can function. After the prediction program has been successfully created, the sub-district monograph data can be entered. Furthermore, it will be processed using the Mamdani Fuzzy Inference System method that has been included in the program code, then the results of the vulnerability will appear.
