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Journal : Journal of Information System and Computer

SISTEM PENJADWALAN MENGAJAR DI SMA NU AL MA’RUF KUDUS MENGGUNAKAN ALGORITMA GENETIKA Nor Wahyono; Agus Subhan Akbar; Joko Minardi
Journal of Information System and Computer Vol. 2 No. 1 (2022): Juli 2022
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v1i2.267

Abstract

At SMA NU Al Ma'ruf Kudus, the management of the teacher's teaching schedule related to rooms andclasses still use conventional or manual methods and have not fully use computerized processing. Problems thatarise in the beginning of each learning year is the occurrence of a schedule that collides with several studentsteacher. Starting from the background of the existing problems, the author designed the System Web-basedinformation to be implemented for scheduling processing teaching at the NU Al Ma'ruf Kudus High School. In thisstudy, the Genetic Algorithm method used to build a scheduling information system by completing complexoptimization problems, which are difficult to perform by conventional methods. Results research shows that theGenetic Algorithm method can be used to build a teaching scheduling system. By generating a different task_IDconsists of subjects and teachers to produce the best fitness values in the shortest time short. From testing bygenerating as many as 10 chromosomes and 25 generations the best fitness value = 0.024, time = 126.99seconds, in the 12th generation.
SISTEM PAKAR DIAGNOSA PENYAKIT IKAN BERBASIS WEB MENGGUNAKAN METODE CERTAINTY FACTOR Muhammad Khoirur Rozikin; Danang Mahendra; Agus Subhan Akbar
Journal of Information System and Computer Vol. 3 No. 1 (2023): Juli 2023
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v3i1.648

Abstract

In Jepara Regency, there are many fish sellers and breeders/cultivators. In the process of captive fish, usually fish cultivators will experience several problems, one of which is the emergence of disease in fish cultivated by fish cultivators. Prevention is a very effective step to minimize the risk of disease in farmed fish. If the fish are already diseased, the costs incurred for fish cultivation will increase due to the additional cost of fish treatment. Fish breeders need to know about fish diseases and how to treat them if the fish they farm are infected with diseases or pests. One of the efforts that can be done by fish breeders is by visiting fish disease experts (experts) which cannot be done continuously because it requires a lot of time, effort and money. From these problems, the author will create a website-based expert system for diagnosing fish diseases using the Certainty Factor method. With this application, it is hoped that it can assist fish breeders in dealing with diseases in protected fish, without having to visit an expert. In the author's research, testing was carried out based on 10 diagnostic samples, and calculated using k-fold cross validation, resulting in a system accuracy of 90%. Where the expert system that has been made by the author is considered feasible.