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The Utilization of Physics Parameter to Classify Histopathology Types of Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC) by using K-Nearest Neighbourhood (KNN) Method Anak Agung Ngurah Gunawan; I Wayan Supardi; S. Poniman; Bagus G. Dharmawan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.86 KB) | DOI: 10.11591/ijece.v8i4.pp2442-2450

Abstract

Medical imaging process has evolved since 1996 until now. The forming of Computer Aided Diagnostic (CAD) is very helpful to the radiologists to diagnose breast cancer. KNN method is a method to do classification toward the object based on the learning data which the range is nearest to the object. We analysed two types of cancers IDC dan ILC. 10 parameters were observed in 1-10 pixels distance in 145 IDC dan 7 ILC. We found that the Mean of Hm(yd,d) at 1-5 pixeis the only significant parameters that distingguish IDC and ILC. This parameter at 1-5 pixels should be applied in KNN method. This finding need to be tested in diffrerent areas before it will be applied in cancer diagnostic.
Classification of breast cancer grades using physical parameters and K-nearest neighbor method Anak Agung Ngurah Gunawan; S. Poniman; I. Wayan Supardi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9797

Abstract

Breast cancer is a health problem in the world. To overcome this problem requires early detection of breast cancer. The purpose of this study is to classify early breast cancer grades. Combination of physical parameters with k-nearest neighbor Method is proposed to detect early breast cancer grades. The experiments were performed on 87 mammograms consisting of 12 mammograms of grade 1,41 mammograms of grade 2 and 34 mammogram of grade 3. The proposed method was effective to classify the grades of breast cancer by an accuracy of 64.36%, 50% sensitivity and 73,5% specitifity. Physical parameters can be used to classify grades of breast cancer. The results of this study can be used to complement the diagnosis of breast mammography examination.
Web-based Indigenous Village P Web-Based Traditional Village Population Administration System in Jimbaran Village, South Kuta, Badung Mahendra Sastra Adhi Wiguna Gede; Nur Fadhillah Muhamad; Trisanjaya Purba Ghaniel; Aldo Dzar Al-Ghifari; Yudisthira Arimbawa Saputra I Gusti Ngurah Agung; Dionicius Hadarian; I Putu Amara Setia Putra; Patriot Akbar; Taufikur Rohman; Pramuditya Adha Ra'afarudin; I Wayan Supardi; Ni Nyoman Rupiasih; Nyoman Wendri
BULETIN FISIKA Vol. 26 No. 2 (2025): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2025.v26.i02.p06

Abstract

The population administration in Jimbaran Traditional Village faces challenges of inefficiency and data inconsistency due to manual processes, especially in managing unique data structures such as NPK (Family Registration Number), NIKA (Traditional Community Registration Number), and Dadia. To address these issues, a web-based administrative information system was developed using the Prototyping method with the Laravel framework, MySQL database, and an interface built using Tailwind CSS and Alpine.js. The resulting system features key functionalities such as centralized master data management, dynamic input forms with automatic NPK and NIKA numbering, management of Traditional Family Card membership, and an integrated correspondence service module. The implementation results demonstrate that this application successfully serves as a functional solution for centralizing data, accelerating administrative services, and enhancing the accuracy of population data in accordance with the specific needs of the traditional village.