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IMPLEMENTASI FUZZY C-MEANS DALAM PENENTUAN KARYAWAN BERPRESTASI PADA PT. KERENG PANGI PERDANA

2026•Skripsi, Thesis, Disertasi, dan Tugas Akhir

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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Aplikasi Pengarsipan Data Kliping Surat Kabar Harian Bidang Hubungan Masyarakat Kepolisian Daerah Kalimantan Selatan

2019•Artikel Penelitian dan Pengabdian

The Public Relations Sub Division in the South Kalimantan Regional Police records the clipping of daily newspapers using Microsoft Excel. Clipping data is recorded and then processed and counted types of characters, sizes, pages and coverage. Each type is divided into 3 (three) categories. The types of characters consist of Positive, Negative and Neutral. The type of size consists of Length, Medium and Small. The type of page consists of Front, Middle and Back. Then the type of coverage consists of Large, Enough and less. At the time of recording, errors often occur so that the data generated is not in accordance with the results of calculations. Therefore, a system is built that can be used to record data clipping files with automatic calculation formulas to reduce the risk of errors and incompatibility of the calculation results. This system is built with web-based using the PHP programming language. System development method using Waterfall method.    

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