Journal SINTA 1
A Machine Learning Model for Determination of Gender Utilizing Hybrid Classifiers
Journal of Applied Engineering and Technological Science (JAETS) · Vol. 5 No. 1 (2023) · pp. 542–556
- ISSN
- 2715-6079, 2715-6087
- Published
- 2023-12-10
- Publisher
- Yayasan Riset dan Pengembangan Intelektual (YRPI)
- Language
- en
Abstract
One part of forensic anthropology involves investigating skeletal remains to identify corpses, and many of these remains were found incomplete, burned, broken, or destroyed, making investigation challenging. This study aims to use the pelvis and femur to identify the gender of skeletal remains. The pelvis and femur have previously been proven to be accurate indicators of a corpse's gender. The identification process is done through the measurement of the subpubic angle of the pelvis and the angle taken straight down from the top of the femur to the patella and then straight up. The two measurements were combined using the principal component analysis (PCA) method into two attributes on the x and y axes. These attributes were later used as data for the machine learning model design. The design process consisted of an Artificial Neutral Network (ANN) design model and Support Vector Machine (SVM) design model combined into a hybrid machine learning system. The ANN and SVM hybrid machine learning were tested with acquired data. The result of the test using the confusion matrix showed 83.33% accuracy, which is categorized as "good classification" based on Area Under the Curve (AUC).
Keywords
Collaboration network of the authors
40 authors · 81 co-authorship links · 7 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Riau University
- Universitas Sains dan Teknologi Indonesia
- University of Technology Malaysia
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Rahyul Amri | Affiliation unknown | 2 |
| Luthfi Afif | Affiliation unknown | 2 |
| Khusaeri Andesa | Universitas Sains dan Teknologi Indonesia | 1 |
| Agustin Agustin | Universitas Sains dan Teknologi Indonesia | 1 |
| Indah Permata Sari | Riau University | 1 |
| Dara Incam Ramadhan | Riau University | 1 |
| Razali Ngah | University of Technology Malaysia | 1 |
| Jafar Ahiri | Universitas Halu Oleo | 1 |
| Samiruddin Samiruddin | Universitas Halu Oleo | 1 |
| Ahmad Zamsuri | Affiliation unknown | 1 |
| M Khairul Anam | Affiliation unknown | 1 |
| Arda Yunianta | Affiliation unknown | 1 |
| Hasan J. Alyamani | Affiliation unknown | 1 |
| Muhammad Bambang Firdaus | Affiliation unknown | 1 |
| Muhammad Ridha | Affiliation unknown | 1 |
| Mahmud Dwi Sulistiyo | Affiliation unknown | 1 |
| Muhammad Rakha | Affiliation unknown | 1 |
| Kurnia Alfikri | Affiliation unknown | 1 |
| Rhendy Theopilus Silalahi | Affiliation unknown | 1 |
| Irfan Alwandi Pohan | Affiliation unknown | 1 |
| Zikri Pradana | Affiliation unknown | 1 |
| Gilang Bagaskara | Affiliation unknown | 1 |
| Taufiq Muammar | Affiliation unknown | 1 |
| Muhammad Rizki Radhelan | Affiliation unknown | 1 |
| I. Yasri | Affiliation unknown | 1 |
| Feri Candra | Affiliation unknown | 1 |
| Muhammad Ikmal | Affiliation unknown | 1 |
| Ahmad Mudhirullaq Syam | Affiliation unknown | 1 |
| Daniel Junianto | Affiliation unknown | 1 |
| Immanuel Waruwu | Affiliation unknown | 1 |
| Ping Jack Soh | Affiliation unknown | 1 |
| Yoshihide Yamada | University of Technology Malaysia | 1 |
| Yoga Bayu Pradana | Affiliation unknown | 1 |
| Muhammad Raihan Azhary | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.