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Journal : TEKNOLOGI INFORMASI

PERANCANGAN SISTEM REKOMENDASI TEMPAT PRAKTEK KERJA LAPANGAN MENGGUNAKAN FUZZY TSUKAMOTO Akbar, Ismail; Nurdiyansyah, Firman
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi VOL 9 NO 1 Tahun 2018
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

In the world of work requires human resources are honest, satisfactory, clever, smart, qualifiedand competent in a controlled field. So in this case the University of Widyagama Malang requiresevery student to take the course of practical work. However, it is still not perfect in this practicalwork, because students choose the workplace practices that are not in accordance with thedominated field. In this case, the researcher applies a fuzzy tsukamoto method to recommend thepractice workplace in accordance with the student-controlled field based on some course grades.Based on the calculation using fuzzy tsukamoto method there is a workplace order or list ofagencies with the smallest value that will be the result of calculation in the workplace practicerecommendation
ISTEM INFORMASI PEMBERIAN BONUS UPAH DAN PENJADWALAN KARYAWAN MENGGUNAKAN METODE ALGORITMA GENETIKA Akbar, Ismail; Marisa, Fitri; Wijaya, Indra Dharma
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 10 No 1 Tahun 2019
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

By following the development of the market and the needs of the community, it is increasingly needed a technology to improve the quality and results of its production with careful planning, in order to avoid the level of loss and reduce production in the company. This is experienced by companies UD. Muria PS who is engaged in animal husbandry. Which has several problems in scheduling employees to take their products. Which also has an impact on the gap between employees on the bonus wages they receive. By building a scheduling information system and providing bonus wages, this research uses php programming language and website-based programming and applies genetic algorithms in it to more easily manage employee schedules and provide bonus rewards fairly and evenly. This genetic algorithm process has a parameter of the vehicle, coolie, and time in the scheduling process. and schedule parameters in the employee bonus wage process. Based on the results of the user trial, the respondents strongly agree with the existence of this application. Which of the 14 respondents said it was feasible to apply to the company UD. Muria PS with a result of 87.37%. It is expected that with this application, employee scheduling and bonus wage issues can help solve it. Keywords: Scheduling, Bonus Salary, Genetic Algorithm, PHP