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All Journal Indonesian Journal of Electrical Engineering and Computer Science Jurnal Ilmu Kedokteran Keluarga
Fahmi Fahanani, Agwin
Unknown Affiliation
Computer Science & IT Health Professions Physics Public Health Social Sciences

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Relationship of Breast Volume and Breast Malignancy Risk Based on BI-RADS Classification Categories In Mammography Yueniwati, Yuyun; Fahmi Fahanani, Agwin; Atsil Lathifa, Jauza
Jurnal Ilmu Kedokteran Keluarga Vol. 2 No. 1: June 2023
Publisher : Family Medicine Department, Faculty of Medicine, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56674/altera.v2i1.13

Abstract

Breast cancer is a major global public health problem and the most common type of cancer. The incidence of cases in Indonesia was about 42.1 per 100.000 population in 2019. Multiple risk factors underlie breast cancer malignancy. However, breast volume has not yet been included as a risk factor for breast cancer. This study aims to analyze the association between breast volume and breast malignancy. This cross-sectional study obtains breast volume and BI-RADS score by performing a mammography assessment at Dr. Saiful Anwar General Hospital, Malang. The inclusion criteria were women aged > 40 years and excluded those who have mammography contraindications such as pregnancy and breastfeeding. The parameters for calculating breast volume were the width, height, and compression thickness. The malignancy determination was use the BI-RADS category. There was no significant association using the Kruskal-Wallis test (p = 0.273, p > 0.05). The conclusion is there was no association between breast volume and the risk of malignancy based on BI-RADS mammography.
The Relationship Between Body Mass Index and Breast Volume on Mammography Examination Nur Azizah Sultan, Salsabila; Aurora, Habiba; Fahmi Fahanani, Agwin
Jurnal Ilmu Kedokteran Keluarga Vol. 2 No. 1: June 2023
Publisher : Family Medicine Department, Faculty of Medicine, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56674/altera.v2i1.14

Abstract

Breast cancer is the most common type of cancer suffered by women worldwide. The development and incidence of breast cancer is influenced by various risk factors, one of which is breast volume. The amount of breast volume is influenced by several factors such as genetics, demographics, reproduction, lifestyle, and Body Mass Index (BMI). This study aims to determine the relationship between Body Mass Index and breast volume of research subjects at RSUD Dr. Saiful Anwar Malang, East Java. This type of research is observational analytic with a cross-sectional study approach and analysis using Kruskal Wallis test, the Mann Whitney test, and Spearman correlation test. Based on the Kruskal Wallis test BMI-left breast volume, the sig value obtained was 0.020 (sig < 0.05) while in the analysis of BMI-right breast volume the sig value obtained was 0.083 (sig > 0.05). Follow-up analysis using the Mann-Whitney BMI test-left breast volume showed significant results in the normal-overweight (p=0.050) and normal-obese (p=0.007) BMI groups. While the BMI-volume analysis of the right breast showed significant results only in the normal-obese BMI group (p = 0.044). Spearman correlation test of BMI-left breast volume obtained sig = 0.000 and r = 0.603. While the Spearman test of BMI-right breast volume obtained sig = 0.004 and r = 0.511. This study concludes that there is a significant relationship between BMI and breast volume which is positive with a fairly strong correlation strength.
Potential field-based approaches for nanobotics in drug delivery Kamajaya, Leonardo; Siradjuddin, Indrazno; Al Azhar, Gillang; Fitri, Fitri; Fahmi Fahanani, Agwin
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i3.pp1298-1307

Abstract

Nanorobotics has transformed targeted drug delivery by enhancing therapeutic efficacy, minimizing off-target effects, and increasing precision. However, navigating complex biological environments is challenging. In the field of macroscopic robotics, potential field (PF)-based approaches that utilize attractive and repulsive virtual forces provide a promising framework that can be applied to path planning for nanorobots. This study modifies PF algorithms for nanorobotic navigation to address challenges such as avoiding dynamic obstacles, escaping local minima, and optimizing trajectories in real time. We evaluated the movement of the nanorobot through simulations under static and dynamic conditions for the targets and obstacles. The results demonstrate that nanorobotics with hybrid PF methodologies enhance navigation performance, enabling nanorobots to successfully navigate through biological barriers and efficiently reach their target locations. This work is a significant step towards intelligent and autonomous nanorobotic drug delivery systems and contributes to practical biomedical applications.
Co-Authors Al Azhar, Gillang Atsil Lathifa, Jauza Fitri Fitri Habiba Aurora Kamajaya, Leonardo Nur Azizah Sultan, Salsabila Siradjuddin, Indrazno Yuyun Yueniwati