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All Journal Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Advanced Health Informatics Research
Bala Putra Dewa
Universitas Harapan Bangsa
Humanities Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Other

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Journal : Journal of Advanced Health Informatics Research

 1 
Private Blockchain in the Field of Health Services Purwono Purwono; Khoirun Nisa; Sony Kartika Wibisono; Bala Putra Dewa
Journal of Advanced Health Informatics Research Vol. 1 No. 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v1i1.14

Abstract

Blockchain is a technology that is quite popular and has been adopted in various fields in recent years. This technology has caught the attention of researchers in the health sector because of its innovation which is considered capable of providing the necessary guarantees for the safe processing, sharing, and management of sensitive patient data. There are many problems with falsifying reports and withholding important information from patients, which is considered medical fraud. Hyperledger, a type of private Blockchain, is very suitable for healthcare applications. A private blockchain is a restricted type of blockchain network created by an entity. This type of network is limited to those with access permissions. In addition, private blockchains usually use a centralized verification system and are controlled by the network's creators. Hyperledger Fabric is one example of a permissioned blockchain that can play a role in implementing patient-centric, interoperable healthcare systems
Identification of Breast Tumors With Image Processing Using Canny Edge Detection Deny Nughoro Triwibowo; Bala Putra Dewa; R Bagus Bambang Sumantri; Riska Suryani
Journal of Advanced Health Informatics Research Vol. 1 No. 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v1i1.20

Abstract

Breast tumor is one of the leading causes of death in women worldwide. The term tumor is often used for all lumps found in the human body. The increase in the number of cases of breast tumors that occur each year is due to the absence of prevention or early detection. The research was carried out by utilizing the development of information technology to create a breast tumor detection system with digital image processing. The application system will process mammogram images to detect edges with the canny method and will be classified using the SVM method. The data used is 176 data obtained from the Kaggle dataset. The test results revealed that 64 patients were classified as having malignant breast tumors (M), and 113 did not have breast tumors (B), with a classification accuracy rate of 95%. From the results obtained, the application system is very good for the early identification of breast tumors.
Co-Authors Bambang Sumantri, R Bagus Barlian Kristanto Deny Nughoro Triwibowo Khoirun Nisa Purwono, Purwono Riska Suryani Slamet Slamet Sony Kartika Wibisono Yuris Tri Naili