Article Per Year (5 Year)
p-Index From 2020 - 2025
1.683
P-Index
This Author published in this journals
All Journal Jurnal Forum Nuklir Jurnal Sains Materi Indonesia Media Mesin: Majalah Teknik Mesin JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Jurnal Pemberdayaan Masyarakat Madani (JPMM) Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Eksakta : Berkala Ilmiah Bidang MIPA Journal of Renewable Energy and Mechanics Community Development Journal: Jurnal Pengabdian Masyarakat ARMATUR : Artikel Teknik Mesin dan Manufaktur Journal of Science and Science Education (JoSSEd) Journal of Engineering Science and Technology JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah)
Ahmadi, Haerul
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Forum Nuklir

 1 
IDENTIFICATION OF INCOMPLETE PENETRATION WELDING DEFECTS ON DIGITAL RADIOGRAPHIC FILM FIGURES WITH THE GEOMETRIC INVARIANT MOMENT Agus Probo Sutejo; Haerul Ahmadi; Tasih Mulyono
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6283

Abstract

The examination of defects in radiographic films necessitates specialized knowledge, as indicated by an expert radiographer (AR) degree, yet the subjectivity of AR in identifying defects is problematic. To overcome this subjectivity, automatic welding defect identification is needed. This is executed by using Matlab to create artificial neural networks, which is beneficial for users with the graphical user interface (GUI) feature. One of the breakthroughs in figure extraction into seven feature vector values is the geometric invariant moment theory. This prevents translation, rotation, and scaling from changing the figure's characteristics. Therefore, a welding defect identification system with a geometric invariant moment was created in the digital radiographic film figure to overcome the reading error by AR. The identification system obtained an accuracy rating of 89.9%
Co-Authors Agus Probo Sutejo Akuba, Kisman R Andi Rosman N Asri Arbie Aulia Fitrah Ramadhani B. A. Tjipto Sujitno Bangun Pribadi Bunga Tang Dandi Arifian Dewa Gede Eka Setiawan Dewi Lanita Sari Harsano Jayadi Ihwanul Aziz Karim, Rahmiaty Abd. Latief, Muh. Fachrul Meidji, Icha Untari Moh. Yusuf Syafi'i Muh Fachrul Latief Muhammad Yunus Mursalin . Ninasafitri, Ninasafitri Paputungan, Devi Triana Rachmanita, Risse Entikaria Rachmanita, Risse Entikaria Risse Entikaria Rachmanita Rizky Abdul Aziz Sophie Hapsari Suprapto Suprapto Supu Idawati Supu, Idawati Tasih Mulyono Tasih Mulyono Tjipto Sujitno Yudithia Balo Tarigas