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This Author published in this journals
All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Computer Science and Informatics Engineering
Ridho Wahyudi Pulungan
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Education

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Perancangan Jaringan dan Manajemen Bandwidth User dengan Mikrotik di Dinas Kominfo Provinsi Sumatera Utara Dedi Sanjaya Tampubolon; Hanifah Aprilyani; Ridho Wahyudi Pulungan
Journal of Computer Science and Informatics Engineering (CoSIE) Vol. 1 No. 1 (2022): Januari
Publisher : AIRA (Ali Institute of Research and Publication)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.425 KB) | DOI: 10.55537/cosie.v1i1.28

Abstract

A computer network is a group of computers that use communication protocols to communicate with each other and share data or information. The internet can also be interpreted as a computer network in a broader sense. The need for internet access is very high for users, making slow system performance to send data due to unstable internet conditions. Therefore, in regulating and limiting the use of internet bandwidth, it is indeed an important thing when the internet connection is limited, for example, the limited bandwidth quota from the ISP. We need to limit the bandwidth quota for each user connected to the mikrotik router. On the mikrotik router itself, there are features that can limit (limit) bandwidth, namely queue. By using the simple queue and queue tree methods, you candesigning bandwidth restrictions that make internet conditions in a company can be maintained and more stable due to bandwidth restrictions for each user who use the internet.
Implementation of Naïve Bayes Method Diagnosing Diseases Nile Tilapia Ridho Wahyudi Pulungan; Sriani Sriani; Armansyah Armansyah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3834

Abstract

The Nile tilapia, also known as Oreochromis niloticus, was a freshwater fish species first produced in East Africa in 1969. It became a popular aquaculture fish in freshwater ponds across Indonesia. Besides its delicious taste, the Nile tilapia is rich in nutrients essential for human health. However, cultivating Nile tilapia was challenging due to frequent bacterial diseases. These diseases often led to mass fish deaths, causing financial losses, especially for new fish farmers. The rapid spread of diseases emphasized the need for prompt intervention to prevent further losses. Farmers needed adequate knowledge about Nile tilapia diseases, but often struggled to absorb information provided by the government. Hence, the presence of experts or veterinarians was crucial in assisting farmers to address these issues. Farmers of Nile tilapia sought assistance from experts or veterinarians, but this was not easy. It involved substantial costs and time, while quick intervention was necessary to mitigate losses. The solution proposed was the development of an expert system for diagnosing and treating Nile tilapia diseases. Thus, an expert system was built to assist fish farmers in identifying fish diseases and their treatments by implementing the naïve Bayes method. The expert system transferred human knowledge to computers, enabling them to solve problems like experts, thereby making expert knowledge accessible to non-experts. Naïve Bayes was implemented to determine the highest probability based on input symptoms. This research used five test data samples to apply the naïve Bayes method to diagnose Nile tilapia diseases, resulting in an accuracy rate of 80%. Therefore, the implementation of naïve Bayes in diagnosing Nile tilapia diseases is considered reasonably effective.
Co-Authors Armansyah Armansyah Dedi Sanjaya Tampubolon Hanifah Aprilyani