Fuzzy Implementation in The Selection of A Chieving Employees at PT. Sumber Barkah using Matlab Software

A company must set a high standard of discipline so that the company can develop quickly. A good company cannot be separated from the performance of employees in the form of standard rules made. With the standard, the company can see employees who excel and can be used as examples for other employees. There are 3 generated criteria such as performance, target and absence. The main purpose of this study is to provide criteria for selecting outstanding employees in a company. This study uses mamdani which uses the lowest min value and uses the AND operator to get the results. There are four things in the Mamdani fuzzy process, the first is the fuzification of the determination of the input value, the second is the application of the implication function, the third is the inference rules and the last is defuzzification. The results of this study can be used as a standard in determining outstanding employees at PT Berkah

The Fuzzy Process Quality Evaluation Model for the STB Quality Characteristic of Machining

Whether it is important components of a machine tool itself or various important components processed by the machine tool, many vital quality characteristics mostly belong to the smaller-the-better type. When the process quality levels of these quality characteristics do not attain to the criteria, friction loss may increase during the machine operation, affecting not only the process precision and accuracy but also the lifetime of the product. Therefore, this study applied a smaller-the-better six-sigma quality index simultaneously demonstrating process quality level and process yield. Besides, in coping with statistical process control data, a one-tail confidence-interval-based fuzzy testing method was developed to evaluate process quality. Because this approach is built on the basis of confidence intervals, it can reduce the possibility of misjudgment resulting from sampling errors as well as integrate past experience to enhance the accuracy and precision of the assessment, and then it can grasp the timeliness of improvement.

PROTOTYPE OF STREET LIGHT CONTROL SYSTEM USING FUZZY MAMDANI METHOD

Street light usually set to turn on at night based on fixed time setting. In rainy condition, it will be better that the street light turned on and the color of light is yellow instead of white for effectiveness of human sight. In this research, a system which could control the street light will be designed by considering environmental light intensity, rainy condition, and time setting. Fuzzy Mamdani method is used to adjust the level of the street light intensity. The experiment results show that the system work properly. The light intensity of the street lights can change automatically adapting the brightness of environmental light and rainy or non-rainy conditions through the fuzzy process with the highest light intensity about 248.93 (in 0-255 PWM range) with an average error between experiment results and simulation using Matlab about 0.05%. In rainy condition, the color of the street light will turn to yellow from default color (white).

Implementasi Fuzzy Inference System Untuk Menentukan Tingkat Kriminalitas Di Kota Batam

Kriminalitas merupakan sebuah perbuatan meyimpang serta merugikan banyak orang.Pada tahun 2017 perekonomian Kota Batam menurun, sehigga banyak perusahaan yang tutup dan menyebabkan tingkat pengangguran meningkat.Kejahatan yang marak terjadi saat ini seperti pembegalan, pencopetan, Penipuan, dan penjampretan tanpa belas kasihan bahkan menyebabkan korban meninggal dunia.Contoh kejahatan yang sering terjadi berupa pembegalan dan penjamretan pada daerah tamiang, banyak korban yang berjatuhan, pelaku Tidak segan melukai bahkan menghilangkan nyawa korbannya. Faktor utama penyebab kriminalitas seperti tingkat kesenjangan social, pendidikan, pendidikan, pergaulan, PengangguranLowongan Pekerjaan serta pendidikan sehingga banyak hal yang membuat tingkat kriminalitas yang tinggi di kota Batam. Tujuan penelitian ini yaitu untuk mengetahui tingkat kriminalitas di kota Batam, serta sabagai pembelajaran bagi penduduk batam sehingga terhindar dari kejahatan. Metode yang digunakan menggunakansystem max-mix atau logika sugeno, langkah kerja metode fuzzy ada empat, yang pertama pembentukan himpunan fuzzy, yang kedua aplikasi fungsi implikasi yang ketiga komposisi aturan dan yang keempat adalah defuzzifikasi.Fokus penelitian ini berupa 1.Menentukan Tingkat kriminalitas 2.Penyebab kriminalitas 3.Menggunakan metode sugeno dan aplikasi matlab untuk menyelesaikan hasil penelitian. Penelitian ini menghasilkan system mendukung keputusan berupa hasil akhir sebesar 0.72 berada pada posisi Output dengan nilai keputusan tingkat kriminalitas tinggi di Kota Batam. AbstractCrime is an act that deviates and harms many people. In 2017 the economy of Batam City declined so that many companies closed and caused the unemployment rate to increase. Crimes are rife at this time, such as hijacking, pickpocketing, fraud, and mugging without mercy, even causing death. Examples of crimes that often occur in the form of kidnapping and mugging in the Tamiang area, many victims have fallen, the perpetrators do not hesitate to hurt or even kill the lives of their victims. The main factors were causing crime such as the level of social inequality, education, relationships, Job Vacancy Unemployment and education so that many things that make a high crime rate in the city of Batam. The purpose of this study is to determine the level of crime in the city of Batam, as well as learning for residents of Batam, is avoid way. The method used uses the max-mix system or Sugeno logic, there are four steps in the fuzzy process, the first is the formation of the fuzzy set, the second is the application of the implication function, the third is the composition of the rules, and the fourth is defuzzification. The scope of this research is 1. They are using the level of crime 2. Cause of crime 3. They are using the Sugeno method and the application of Matlab to complete the research results. This research results offence ina system was supporting the decision in the form of the final They are determining of 0.72 is in the Output position with a high crime rate decision value in Batam City.