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Subjek: Gold
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SISTEM PAKAR DIAGNOSIS PENYAKIT PADA ANJING JENIS GOLDEN DENGAN MENGGUNAKAN METODE FORWARD CHAINING

2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir

Abraham Pamungkas Mara Putra, C1755201050, 2021, EXPERT SYSTEM FOR DIAGNOSIS OF DISEASE IN GOLDEN DOGS USING FORWARD CHAININGI METHOD, Supervisor I Sulistyowati, S.Kom., M.Cs. Supervisor II Arliyana, M.Kom An expert system is a system that stores the knowledge and reasoning of experts. Expert systems have the ability to solve problems like an expert. Expert systems can be designed to assist in medical consultations and diagnose golden dog diseases. sometimes dog keepers have a hard time checking their dogs. The reason may be limited veterinarians or limited funds. The golden dog disease diagnosis expert system was developed to help dog keepers in golden dog disease based on the symptoms and to find out what therapy can be done to overcome the disease. This system stores the basic knowledge about diseases and symptoms of golden dogs in the form of interconnected rules. The system will ask for symptoms of disease in golden dogs and use forward chaining inference to generate diagnosis and therapy as a solution. The disease diagnosis expert system is designed to be web-based for easy access anywhere. The technology used in making the system uses a programming language and SQL Server as a database. The golden dog disease diagnosis expert system is built to diagnose dog diseases based on answers to questions about symptoms and this system will evolve as disease domains can be added. The golden dog diagnosis expert system must provide a diagnosis of disease conclusions, but animal keepers are still advised to consult a veterinarian.

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ArticleOpen AccessMetadata saja

Implementasi Sistem Untuk Prediksi Harga Emas

2018•Artikel Penelitian dan Pengabdian

Gold is one of the investment commodities whose value continues to increase from year to year. The rise in gold prices will encourage investors to choose to invest in gold rather than the capital market. Investment in gold gives better results for the long term and with better purchasing power, so gold investment is an effective solution considering the value of money annually eroded by inflation. Such a state of economic instability is what drives many people, organizations and companies to invest in gold precious metals. Factors influencing the rise or fall of gold price according to Riefiyono (2010) are change of exchange rate (dollar exchange rate to rupiah), world political situation, domestic economic situation, and interest rate.   The method used in this case is K-Nearest Neighbor (KNN) is a method that uses In the training phase, this algorithm only retains feature vectors and sample training data classification. In the classification phase, the same features are calculated for testing data (whose classification is unknown).   The results obtained are successfully made an application for the prediction of gold prices by utilizing the method of Nearest Neighbor Retrieval. This application can help users in knowing the gold price prediction results are expensive or cheap with views in terms of economic situation, interest rates, political situation, and changes in exchange rates.

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