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All Journal Jurnal PkM: Pemberdayaan Masyarakat International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)
Mardiyanto Mardiyanto
Prodi Manajeman Informatika, STMIK Pringsewu, Lampung
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Other

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SOSIALISASI PENTINGNYA PENDIDIKAN UNTUK MEMUTUS RANTAI KEMISKINAN DAN PEMAHAMAN BAGAIMANA MENDIDIK ANAK DI ERA DIGITAL Sudewi Sudewi; Mardiyanto Mardiyanto
Jurnal PkM Pemberdayaan Masyarakat Vol 2 No 3 (2021): Jurnal PkM Pemberdayaan Masyarakat
Publisher : LP3K Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnalpkm.v2i3.32

Abstract

So far, we have listened to the reality that education cannot be reached by all levels of society. Although the government has made efforts to make education friendly for the poor, without self-awareness and a change in the attitude of the family, education will be difficult to break the chain of poverty. In fact, if from an early age the children of marginalized groups are allowed to play, play, and play, and stay away from reading habits, we can see that poverty in this country will become a legacy that is difficult to maintain. In this digital era, it has changed a person's perspective in living a very sophisticated life today. A technology that makes big changes to the whole world, from helping to make things easier to creating problems due to the lack of education provided by parents so that children cannot use these increasingly sophisticated digital facilities properly and correctly. Therefore, the holding of this socialization activity aims to help parents to be more and wiser in educating children in this digital era.
XPERT SYSTEM FOR DIAGNOSING DISEASES IN BETTA FISH BASED ON ANDROID Mardiyanto Mardiyanto; Fuad Fahmi
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 1 No. 2 (2021): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Betta fish are in demand and bred by the community. Based on their habitat, betta fish are in swamps, rivers, and lakes. In Indonesia, many are found in various areas such as Kalimantan, Sumatra and others. Betta fish is one of the freshwater fish which has its own uniqueness and many types, both in terms of color and shape. Some of them have bright, dark and exotic colors. Many novice breeders of betta fish are just starting their business and they find it difficult when their pet betta fish get sick. Diseases found in ornamental fish, especially betta fish, are more quickly prevented and treated if the Betta fish cultivators know in advance what diseases are attacking their fish. Therefore, a research is needed which makes it easier for novice breeders of betta fish to find out early about what diseases attack their fish before they jump into betta fish breeders. This method used the forward chaining method. In order for betta fish farmers to detect diseases more quickly, we tried to create a program to detect betta fish diseases using an expert system. This expert system also aims to provide preventive solutions to these fish so that breeders can get a satisfactory harvest. It also diagnoses diseases in fish. After these symptoms are detected, the disease, symptoms and treatment will be found.
Co-Authors Fuad Fahmi Sudewi