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Journal : Journal of Information System and Computer

SISTEM INFORMASI PERSEDIAAN BARANG DENGAN SAFETY STOCK alzena sabilla; Danang Mahendra
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.v1i2.265

Abstract

Inventory is important for a business. Fashion has a dynamic environment. At any time highdemand makes SMEs stockout of inventory so they cannot fulfill the demand. SMEs must have astrategy to facilitate running business processes such as automation by utilizing technology. In thiscase, the inventory system is one solution to overcome problems in inventory in order to fulfillconsumer needs. This application uses the safety stock method to find out the safe stock that must beavailable with fluctuating demand. This research resulted in a web-based inventory information systemapplication that can reduce the amount of inventory and demand for goods so as to improve servicesoptimally and effectively
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.