Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Jurnal Pendidikan dan Pengabdian Masyarakat
Abdullah, Mohd Firdaus
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Performance evaluation of generative adversarial networks for generating mugshot images from text description Bahrum, Nur Nabilah; Setumin, Samsul; Othman, Nor Azlan; Fitri Maruzuki, Mohd Ikmal; Abdullah, Mohd Firdaus; Che Ani, Adi Izhar
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5895

Abstract

The process of identifying photos from a sketch has been explored by many researchers, and the performance of the identification process is almost perfect, particularly for viewed sketches. Suspect identification based on sketches is one of the applications in forensic science. To identify the suspect using these kinds of methods, a face sketch is required. Hence, the methods require skilled artists to sketch the suspect based on descriptions provided by eyewitnesses. However, the skills of these artists are different from one another, which results in different rendered sketches. Therefore, this work attempts to propose a new identification method based only on forensic face-written descriptions. To investigate the feasibility of the proposed method, this study has evaluated the performance of some text-to-photo generators on both viewed and forensic datasets using three different models of GAN which are SAGAN, DFGAN, and DCGAN. Then, the generated images are compared to the real photo contained within those datasets to evaluate how well the proposed method recognizes the faces. The results demonstrated that the recognition rate for the generated photos by the DCGAN models is better than the other two models which achieve a 38.3% recognition rate at rank-10 for mugshot identification.
Penguatan Pemahaman Lintas Budaya dan Mekanika Dasar melalui Permainan Tradisional Malaysia pada Siswa SD Muhammadiyah 9 Malang Riyanto, Obaja Eden Sentosa; Permatasari, Meirna Puspita; Ani, Adi Izhar Che; Abdullah, Mohd Firdaus; Aji, Bagas Dwi Purnama; Tsamroh, Dewi 'Izzatus; Andrianto, Sis Nanda Kus
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 8 No. 3 (2025): Agustus
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v8i3.9589

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk memperkenalkan konsep mekanika dasar melalui permainan tradisional Malaysia sebagai sarana pembelajaran lintas budaya bagi siswa sekolah dasar. Kegiatan dilaksanakan di SD Muhammadiyah 9 Malang dan melibatkan 56 siswa kelas 3 sebagai peserta, Dosen dan Mahasiswa dari Universitas Negeri Malang (UM), mahasiswa dan dosen dari Universiti Teknologi MARA (UiTM) Penang dan Shah Alam sebagai fasilitator dalam program Vocational Inter-Cultural Camp (VICC). Metode yang digunakan mengacu pada pendekatan experiential learning, dengan skema pelaksanaan berupa pengenalan, praktik permainan di enam pos secara bergiliran, dan sesi refleksi dan evaluasi bersama. Permainan yang dikenalkan seperti Ting-ting, Pick Up Stick, dan Congkak tidak hanya sarat nilai budaya, tetapi juga mengandung unsur fisika dan mekanika dasar seperti gaya, keseimbangan, dan percepatan. Hasil pengabdian menunjukkan bahwa siswa terlibat aktif secara kognitif, afektif, dan psikomotorik. Interaksi antara siswa dan mahasiswa Malaysia juga memunculkan minat spontan terhadap bahasa dan budaya Melayu. Kegiatan ini berhasil menciptakan suasana pembelajaran yang menyenangkan, edukatif, dan membangun pemahaman awal tentang mekanika dasar serta nilai-nilai toleransi lintas budaya dan memiliki kesan yang positif bagi pihak yang terlibat dalam pengabdian ini.
A new procedure for lung region segmentation from computed tomography images Abdullah, Mohd Firdaus; Sulaiman, Siti Noraini; Osman, Muhammad Khusairi; Abdul Karim, Noor Khairiah; Setumin, Samsul; Isa, Iza Sazanita
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4978-4987

Abstract

Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the lung CT scan images will undergo an image thresholding stage before going through two morphological reconstruction and masking stages. In between morphological and masking stages, object extraction, border change, and object elimination will occur. Finally, the lung field will be annotated. The outcomes of the proposed procedure and previous lung segmentation methods i.e., the modified watershed segmentation method is compared with the ground truth images for performance evaluation that will be carried out both in qualitative and quantitative manners. Based on the analyses, the new proposed procedure for lung segmentation, denotes better performance, an increment by 0.02% to 3.5% in quantitative analysis. The proposed procedure produced better-segmented images for qualitative analysis and became the most frequently selected method by the 22 experts. This study shows that the outcome from the proposed method outperforms the existing modified watershed segmentation method.
Co-Authors Abdul Karim, Noor Khairiah Aji, Bagas Dwi Purnama Andrianto, Sis Nanda Kus Ani, Adi Izhar Che Bahrum, Nur Nabilah Che Ani, Adi Izhar Dewi Izzatus Tsamroh Fitri Maruzuki, Mohd Ikmal Isa, Iza Sazanita Osman, Muhammad Khusairi Othman, Nor Azlan Permatasari, Meirna Puspita Riyanto, Obaja Eden Sentosa Setumin, Samsul Sulaiman, Siti Noraini