Penerapan Teorema Bayes pada Sistem Pakar Pendeteksi Penyakit Domba

Abstract

Sheep are one of the livestock that can provide benefits such as meat, milk, and skin which are used as a source of income for the community, especially in the Asahan regency area. However, still, the farmer's knowledge in terms of care and knowledge of sheep diseases can result in the sheep being able to die. The purpose of this study was to create an expert system to diagnose sheep disease using the theory of Bayes. The waterfall is used as a model in this study with stages, analysis, design, implementation, and testing. analysis was carried out to find the required data using observations and interviews. The design of this system consists of Unified Modeling Language (use case ), diagram classes, flowcharts, and interfaces. Testing the system uses a black box which aims to find out the functionality of the system that has been implemented, and data analysis using the theory of Bayes. Our findings resulted in bayes having an expert system for the diagnosis of diseases in sheep. The results of Bayes analysis with the theory of Bayes showed that the disease experienced in sheep is deworming with a probability level of 60.71%. The results of the black box test show that the functionality of this system is already running well

Sistem Pakar Diagnosa Penyakit Pada Domba Dengan Menggunakan Metode Fuzzy Mamdani

“…Jenis penyakit pada ternak domba antara lain brucellosis, mastitis, orf, pink eye, scabies (gatal), bloat (kembung), diare, tetanus, myiasis (belatungan), foot rot (busuk kaki) dan lainnya (Azmi & Ismail, 2020). Minimnya pengetahuan peternak mengenai informasi tentang domba baik pakan, perawatan, maupun penyakit (Andika et al, 2022). Selain itu kurangnya sosialisasi dari pihak dinas terkait dan jumlah tenaga ahli yang masih terbatas jumlahnya.…”

“…Metode mamdani juga dikenal sebagai Metode Max-Min. Untuk menghasilkan output, ada 4 tahapan yang perlu dilakukan, yaitu pembentukan himpunan fuzzy, aplikasi fungsi implikasi, komposisi aturan, dan penegasan (defuzzikasi) (Andika et al, 2022).…”

Media Pembelajaran Object Detection Perangkat Jaringan Komputer menggunakan Machine Learning berbasis Desktop

“…Berdasarkan keempat model pengembangan maka akan diuraikan sesuai dengan tahaptahapannya. Tahap pertama define (pendefinisan) ini dilakukan untuk mendefinisikan syaratsyarat pengembangan antara lain analisis kebutuhan (Andika et al, 2022), analisis lingkungan/fasilitas dan analisis mata pelajaran. Tahap kedua design (perancangan) untuk menentukan kriteria pengumpulan data, diagram alur perancangan sistem (use case diagram) (Rahmadani et al, 2022;Syah & Sukirman, 2023;Uska et al, 2023).…”

Bayesian Statistics for Study Population Statistics and Demography

“…Alfassa (2020) conducted research using statistics to classify areas prone to forest and land fires using the self organizing maps method, this research was conducted to provide recommendations for preparing for the impact of forest and land fires. Andika (2022) explained the application of Bayes' theorem to an expert system for detecting sheep diseases, where the aim of the study was to create an expert system for diagnosing sheep diseases using Bayes' theorem. The results of Bayes' theorem show that the disease experienced in sheep is helminthiasis with a probability level of 60.71% and the results of the black box test show that the functionality of the system is running well.…”