ThesisOpen AccessMetadata saja
•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Melakukan self diagnose mental health dapat mengakibatkan terjadinya pengobatan yang salah, karena akan mengkomsumsi obat-obatan secara sembarangan yang tidak disarankan oleh dokter, sedangkan berobat ke dokter memerlukan biaya yang tidak sedikit. Pada permasalahan tersebut dilakukan penelitian pengembangan sebuah sistem pakar untuk menentukan mental health berbasis android. Tujuan penelitian ini untuk membangun aplikasi diagnosis mental health menggunakan foward chaining berbasis berbasis android. Jenis penelitian ini adalah research and development yang dilakukan pada Yayasan Joint Adulam ministri Desa Marang, kecamatan Bukit Batu, Kota Palangka Raya. Data diperoleh dari hasil observasi dan wawancara dari pasien dan pengurus yayasan Joint Adulam Ministri serta studi pustaka sebagai penunjang referensi yang relevan lalu dilakukan analisis proses pada data yang telah diperoleh. Sebelum membangun aplikasi dilakukan desain proses dan desain tampilan terlebih dahulu lalu dilanjutakan pembuatan aplikasi menggunakan sistem operasi web Kodular. Hasil penelitian pengembangan aplikasi diagnosis mental health berbasis android menunjukan bahwa, hasil uji black box aplikasi dinyatakan berfungsi dengan baik, hal ini juga ditunjukan dengan hasil sebaran kuesioner sebesar 91% responden sangat setuju dengan manfaat aplikasi mental health.
ThesisOpen AccessMetadata saja
2021•
An attack on water spinach plants can result in less reproduction and can adversely affect farmers who suffer losses without taking any initial precautions. Thus I offer a solution by creating a system of experts that can diagnose disease pests in water spinach plants using a net-based naive Bayes method that can help identify disease pests in the water spinach plant and take necessary precautions. The result of the study was the application of naive Bayes's method to diagnose diseases and pests in water spinach plants to help farmers control the disease.
ThesisOpen AccessMetadata saja
2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir
ZAKARIA, C1755201044, 2021, Rancang Bangun Sistem Pakar Deteksi Penyakit Pada Tanaman Semangka Menggunakan Metode Naïve bayes, Pembimbing I Hotmian Sitohang, M.Kom. Pembimbing II Sherly Jayanti, ST., M.Cs. The problem in this study is that farmers often suffer losses due to watermelon crops that are often affected by diseases that result in decreased fruit production. This is due to the limited number of experts or experts who can determine the disease of the watermelon fruit crop and how to deal with it. Therefore, assistance for the replacement of disease experts in watermelon is needed by farmers to help deal with diseases in watermelon appropriately. An expert system is a system designed to mimic an expert's expertise in answering questions and solving problems. This study designed an expert system software using the Naive Bayes method so as to determine the probability of disease based on symptoms by the rules obtained from experts. The final result of this study is the Application of Expert System of Disease Detection in Seamangka Plants Using Naïve Bayes Method to help Farmers detect diseases in watermelon plants.
ThesisOpen AccessMetadata saja
2021•
ABSTRAK MUHAMMAD ADJI PORNOMO, C1755201036, 2021, Web-Based Melon Plant Disease Diagnosis Expert System Using the DFS Method , Supervisor I Sulistyowati S, kom, M.Cs. Advisor II Amaya Andri Damaini S.kom, MT The problem in this study is where the limited number of experts or experts who can determine melon plant diseases and how to overcome them causes the production of melons to decrease every year. The absence of a melon plant expert in identifying the disease resulted in the healing process being hampered. In addition, the position of an expert who is far from the land of melon plants that are attacked by disease is also an inhibiting factor for plant healing. A plant is infected with disease caused by biotic and abiotic factors . Where, these disease factors can attack plants at any time and anywhere, including melon plants, melon disease is one of the problems that causes melon production for farmers to decline. The limitations of a plant expert sometimes become an obstacle for farmers who will conduct consultations. Although an expert is a person who is an expert in his field, in reality an expert has limited memory and work stamina. In addition, the absence of experts and the high cost of consulting in an area are also obstacles for farmers in getting solutions to the problems they face. This can lead to the wrong solution being taken. If this happens, it can result in a fatal event to the plant such as a decrease in fruit quality or crop failure. To overcome this problem, technology is offered as a substitute for experts. Therefore, the author makes an expert system for diagnosing melon plant diseases based on the Web to make it easier for farmers to diagnose melon plant diseases, so that melon yields do not decrease every year.
ThesisOpen AccessMetadata saja
2021•Skripsi, Thesis, Disertasi, dan Tugas Akhir
ABSTRAK Syatary Al Rabbani, C1755201003,2021. Application of Forward and Backward Chainning Methods for the Diagnosis of Digestive System Diseases Based on Android, Advisor I Elia Zakharia, M.T, Advisor II Frengklin Matatula, S.Kom, M.MSi. Information technology plays an important role in supporting the life and efficiency of modern society today. All life has experienced an instant, efficient and effective approach in people's daily activities. Thus the hope of this research can contribute to the community to be able to check and estimate early to recognize digestive system disorders that are being felt. The purpose of this study is to create an application using the Android-based forward and backward chaining method that can be accessed anywhere and easy to use with a simple and Android-based interface that is known to be used by some people's smartphones. The writing methods used in this study include data collection methods (interviews, library studies), software development methods using prototypes and software testing methods using black box testing. The results of this study are an expert system application for diagnosing digestive system disorders that can run on the android operating system with internet access for database calls, which serves for early detection of digestive system disorders and wants to ascertain what digestive disorders are being felt so that it can be useful for general public
