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Bakhtiyar Hadi Prakoso
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BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
ISSN : -     EISSN : 27220850     DOI :
Core Subject : Science,
BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer (e-ISSN. 2722-0850) is a scientific journal in the field of information technology and computer engineering managed by the Asa Professional Research & Development Center (PUSLITBANG), Jember, East Java, Indonesia. This journal is managed by lecturers and practitioners who come from various university backgrounds in Indonesia, especially Jember, East Java.The BIOS journal is published 2 (two) times a year, namely every March and September. The BIOS journal published in each edition consists of 5-10 articles per volume. The focus and scope of this journal are in the field of Information Technology and others that are still knowledge related, including: Databases System Data Mining / Web Mining Data Warehouse Artificial Intelligence Business Intelligence Cloud & Grid Computing Decision Support System Human-Computer Interaction Mobile Computing & Application E-System Machine Learning Deep Learning Information Retrieval (IR) Computer Network Multimedia System Information System Geographic Information System (GIS) Accounting information system Database Security System & Network Security Cryptography Fuzzy Logic Expert System Image Processing Computer Graphic Computer Vision Semantic Web e-Health and others related to Information Technology and Computer Engineering.
Articles 1 Documents
Search results for , issue "Vol 3 No 1 (2022): Maret (In Progress)" : 1 Documents clear
Implementasi Metode Naïve Bayes untuk Pemilihan Pengobatan Tumor Tulang Ernawati, Siti; Faisal, Aisyah Putri
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 3 No 1 (2022): Maret (In Progress)
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v3i1.34


Decision support system is an interactive system that helps decision making through the use of data and decision models to solve problems that are semi-structured and unstructured. This study implements the Naive Bayes method because this method has advantages compared to other methods, and the Naive Bayes method is a decision-making to predict probability-based using the values entered, in the form of criteria needed. Bone Tumor is a primary malignancy in children and adolescents, which attacks in adolescents aged 10 to 20 years. Treatment of osteosarcoma can be done by radical amputation or limb salvage procedure, depending on the severity of the tumor. The purpose of this study was to obtain treatment information selected by bone tumor patients using medical record data with sample collection method. In the hope that this information can be a consideration for bone tumor patients who are still hesitant to complete treatment in order to be eager to complete treatment. The results obtained the number of cases of bone tumors is as many as 19 cases, and Limb Salvage is the most widely chosen treatment by bone tumor patients. This study also used rapidminer to see the results of validation. The classification results obtained are accuracy value 80%.

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