Implementasi Metode Dempster-Shafer Pada Sistem Pakar Diagnosa Penyakit Tumor Mediastinum Pada Manusia Berbasis Web
Artificial intelligence (Artificial Intelligence) is a system that adopts knowledge from experts into an expert system, so that the computer can do as it is done by experts (experts) who act and can assist in providing solutions and making knowledge-based decisions appropriately. Expert systems are computer-based systems that use knowledge, facts, and reasoning techniques in solving problems, and usually can only be solved by an expert in a particular field. The expert system adds value to technology to help doctors diagnose diseases and provide information about the types of diseases, as well as general symptoms of mediastinal tumors.Mediastinum tumors are tumors found in the mediastinum, namely the imaginary cavity between the left and right lungs, the mediastinum contains the heart, large blood vessels, trachea, thymus, lymph nodes and connective tissue. The mediastinum is an important part of the thorax which is located between the pleuralist cavita and contains many important organs and vital structures. The mediastinum is divided into 4 chambers, namely anterior (front), middle, and posterior (back) superior and medial. Implementing the dempster-shafer method in the expert system it aims to diagnose web-based mediastinal tumor in humans based on the symptoms of mediastinal tumor. From the results of this study, it can be concluded that the expert system of diagnosing mediastinal tumors in humans is expected to help doctors (experts) in providing accurate and accurate diagnosis, so that patients know what disease they are suffering from.
Arjon Samuel Sitio, "SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT JANTUNG MENGGUNAKAN METODE DEMPSTER SHAFER," vol. 3, no. e-ISSN 2541-3724, 2018.
Abdul Fadlil Esthi Dyah Rikhiana, "IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT DALAM PADA MANUSIA MENGGUNAKAN METODE DEMPSTER SHAFER," Jurnal Sarjana Teknik Informatika e-ISSN: 2338-5197, vol. 1, p. 10, Juli 2013.
T Sutojo Si.Si., M.Kom, Edy Mulyanto S.Si., M.Kom, and Dr Vincent Suhartono, Kecerdasan Buatan, Benedicta Rini W, Ed. Yogyakarta: C.V.ANDI Yogyakarta, 2001:p402.
Harry Salistiwa, "RANCANG BANGUN SISTEM PAKAR DIAGNOSA PENYAKIT SAPI DENGAN METODE DEMPSTER-SHAFER BERBASIS WEB," 2015.
Esthi Dyah Rikhiana and Abdul Fadlil, "Implementasi Sistem Pakar Mendiagnosa Penyakit Dalam Pada Manusia Menggunakan Metode Dempster Shafer," Jurnal Sarjana Teknik Informatika, vol. 1, no. e-ISSN: 2338-5197, p. 10, Juni 2013.
Muhammad Arhami, Konsep Dasar Sistem Pakar. Yogyakarta: ANDI OFFSET, 2005.
Efraim Turban, Jay E Aranson, Ting- Peng Liang, and V. Richart McCarthy, Decicion Support System and Inteligent System, 2nd ed.: ANDI Yogyakarta, Sistem Pendukung Keputusan dan Sistem Cerdas.
Risnawati and Laksmi Wulandari, "Tumor Mediastinum Anterior (Yolk Sac Tumor) pada Seorang Laki-Laki Dewasa Muda: Sebuah Kasus yang Jarang," JURNAL RESPIRASI, vol. 2, p. 7, Mei 2016.
Ahmad Hudoyo dan Anwar Jusuf Elisna Syahruddin, "Tumor Mediastinum Anterior (Yolk Sac Tumor) pada Seorang Laki-Laki Dewasa Muda: Sebuah Kasus yang Jarang," JURNAL RESPIRASI, vol. Vol. 2, p. 7, Mei 2016.
Dian Mauli, "Tanggung Jawab Dokter Terhadap kesalahan Diagnosis," Jurnal Capalo , vol. 1, no. 1, p. 14, Desember 2017.
Adi Nugroho, Rekayasa Perangkat Lunak Berorientasi Objeck Dengan Metode Unifield Software Depelopment Poccess. Yogyakarta: ANDI, 2010.
Rosa A. S and M Shalahuddin, Modul Pembelajaran Rekayasa Perangkat Lunak. Bandung: Modula, 2011.
"Pemanfaatan Sistem Informasi Perpustakaan Digital," IJSE – Indonesian Journal on Software Engineering, vol. Volume 1 , no. ISSN : 2461‐0690, 2015.
Agus Priyitno and Yulia Safitri, "Pemanfaatan Sistem Informasi Perpustakaan Berbasis Web," IJSE – Indonesian Journal on Software Engineering, vol. Volume 1, no. ISSN : 2461‐0690, p. 2, 2015.
M. Syahril, N. A. Hasibuan, and P. Pristiwanto, “PENERAPAN METODE DEMPSTER SHAFER DALAM MENDIAGNOSA PENYAKIT BELL’S PALSY,” JURIKOM (Jurnal Ris. Komputer), vol. 3, no. 6, Dec. 2016.
M. Mesran et al., “Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani,” Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 88–91, 2018.
S. Nurajizah and M. Saputra, “Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Kulit Kucing Dengan Metode Forward Chaining,” J. Pilar Nusa Mandiri, vol. 14, no. 1, pp. 7–14, 2018.
Yeni Lestari Nasution, M. Mesran, S. Suginam, and F. Fadlina, “SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TUMOR OTAK MENGGUNAKAN METODE CERTAINTY FACTOR (CF),” J. INFOTEK, vol. 2, no. 1, Feb. 2017.
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