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All Journal Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal on Education Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) El-Mujtama: Jurnal Pengabdian Masyarakat Bulletin of Multi-Disciplinary Science and Applied Technology Archive: Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Engineering, Technology and Computing (JETCom) Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Modem : Jurnal Informatika dan Sains Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Fauzi, Achmad
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Journal : Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer

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Diagnosa Penyakit Kanker Prostat menggunakan Metode Certainty Factor Nezha Febriyan; Achmad Fauzi; Victor Maruli Pakpahan
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.341

Abstract

The rapid development of information technology affects the way people access information, including in the health sector. Prostate cancer, as one of the most significant types of cancer in men, is often detected late due to lack of information and limited costs. To overcome this problem, a system is needed that is able to diagnose prostate cancer quickly, precisely, and accurately. This study aims to develop a web-based expert system using the Certainty Factor (CF) method to diagnose prostate cancer based on the symptoms that appear. The CF method was chosen because of its ability to determine the level of confidence in the facts or rules used in the diagnosis. This study uses data on symptoms and types of prostate cancer. The results of the study can help the public in recognizing prostate cancer symptoms early, with a high level of accuracy in diagnosis. This study is expected to make it easier for patients to make an early diagnosis and accelerate the treatment of prostate cancer.
Co-Authors Ade Rahayu Ade Syahputri Ade Syahputri Adelia Ramadani Agus Sapitri, Liana Aji Tyo Syahputra Andre Anggi Meliana Br Hutasoit Arianta Bangun Arnes Sembiring Asrul Reza Br Bangun, Tiara Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Chintya Dwi Putri Br. Ginting Cici Armayani Cristin Adelianan Br PA Deli Alvinda Denny Prayuda Putra Deny Jollyta Deri Kurniawan Diki Kurniadi Diky Jaswa Dilla Sillfani Dimas Dimas Dimas Fatmaira, Zira Feni Yasari Br Surbakti Fira Dwi Yanti Firliansyah, Aulia Fitri Handayani GOESTI MESKANA PELAWI PELAWI Gultom, Imeldawaty Hakim, Azizhil Hermansyah Sembiring Hermansyah Sembiring Hermansyah Sembiring Hidayatullah Hidayatullah I Gusti Prahmana Ihsan Wibowo Zakti Iis Joice Susanti Marpaung Kadim, Lina Arliana Nur Khair, Husnul Lina Arliana Magdalena Simajuntak Mega Ayu Ningrum Melda Pita Uli Sitompul Meliala, Evan Syahputra Mili Alfhi Syari Mita Auva Muhammad Al Kahfi Muhammad Ali Imran Muhammad Fadillah Azmi Muhammad Haris N Novriyenni Nabil Fuadi Nasution, Raja Imanda Hakim Nezha Febriyan Novi Yunanda Putri Novriyenni - Nurhayati Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rahayu, Rizka Putri Ramanda, Dika Rani Rianda Br Ginting Ranti, Dwi Renika Ayuni Riza Maria Ulfa Br Matondang Riza Maria Ulfa Br Mtd Rizka Putri Rahayu Rizka Putri Rahayu Rizka Putri Rahayu Rizki Oktavinus Tarigan Ronauli Silaban Rusmin Saragih, Rusmin Safna Safitri Salsabilla, Nur Sembiring, Hermansyah Septian, Refli Sihombing, Anton Simanjuntak, Magdalena Sri Defriani Br Sembiring Sri Melisa suci ramadani Susilawati Susilawati Syari, Milli Alfhi Winda Sari Windy Maulianda Yani Maulita Yusfrizal Yusfrizal Yustika Septiani Muzahardin Yustika Septiani Muzahardin Zhya Anggraini Zidan Hafiz