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All Journal International Journal of Advances in Intelligent Informatics Budimas : Jurnal Pengabdian Masyarakat
Anggarjuna Puncak Pujiputra
Politeknik Perkapalan Negeri Surabaya
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Iron welding spot segmentation using Nested UNet (UNet++) enhanced with diverse convolutional modules Thomas Brian; Oskar Natan; Yohanes Yohanie Fridelin Panduman; Anggarjuna Puncak Pujiputra
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i2.2250

Abstract

Welding inspection plays an essential role in manufacturing industries to ensure the integrity and quality of weld joints. However, the prevalent manual inspection procedures are inherently subjective, prone to bias, and result in inconsistent quality assessments. Therefore, there is a strong need for an automated, intelligent system capable of objectively detecting welding spots. To address this, we propose an advanced segmentation model based on deep learning and computer vision techniques, specifically utilizing a Nested UNet (UNet++) architecture enhanced by extensive architectural modifications and comprehensive hyperparameter tuning. To further optimize segmentation performance, we systematically compare various convolutional blocks integrated into the bottleneck of the network architecture. Our experimental evaluation demonstrates that employing a VGG convolutional block at the bottleneck of Nested UNet achieves the highest performance, reaching an Intersection over Union (IoU) score of 76.18% and a validation loss of 0.1713 on our collected dataset. This research advances automated welding inspection by demonstrating that an enhanced Nested UNet with an optimized VGG bottleneck significantly improves weld spot segmentation accuracy. The proposed framework provides a robust benchmark for future studies on intelligent industrial visual inspection and deep learning-based quality assurance.
Workshop Kreatif Mengenal Jenis Kapal Melalui Metode Origami dan Game Edukasi di Panti Asuhan Assalafiah Putri Nur Rahayu; Mustika Kurnia Mayangsari; Teguh Junian Kuswanto; Ekananda Sulistyo Putra; Anggarjuna Puncak Pujiputra; Thomas Brian; Ardhon Rakhmadi
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 8 No. 2 (2026): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v8i2.20529

Abstract

Pengenalan dunia maritim dan jenis-jenis kapal sejak dini penting untuk menumbuhkan minat generasi muda, termasuk anak-anak di panti asuhan yang seringkali memiliki keterbatasan akses terhadap media pembelajaran interaktif. Kegiatan pengabdian masyarakat ini bertujuan untuk mengenalkan berbagai jenis kapal kepada anak-anak di Panti Asuhan Assalafiah melalui pendekatan yang menyenangkan dan mudah dipahami. Pelaksanaan kegiatan menggunakan metode workshop kreatif yang intensif dan berorientasi pada hasil nyata (outcome-oriented). Kegiatan diawali dengan penyampaian materi teori secara singkat dan padat, dilanjutkan dengan praktik langsung (hands-on practice) pembuatan origami kapal serta permainan edukasi di bawah bimbingan instruktur. Evaluasi keberhasilan program diukur melalui analisis komparatif nilai rata-rata kuesioner sebelum (pre-test) dan sesudah (post-test). Hasil kegiatan menunjukkan peningkatan pemahaman peserta yang signifikan mengenai jenis-jenis kapal. Anak-anak panti asuhan menunjukkan antusiasme yang tinggi dan mampu menyelesaikan karya origami dengan baik sesuai instruksi. Metode origami dan game edukasi terbukti efektif sebagai media pembelajaran interaktif dalam meningkatkan pengetahuan maritim anak-anak panti asuhan assalafiah. Program ini disarankan untuk terus dilanjutkan dengan variasi materi maritim lainnya.
Co-Authors Ardhon Rakhmadi Ekananda Sulistyo Putra Mustika Kurnia Mayangsari Oskar Natan Putri Nur Rahayu Teguh Junian Kuswanto Thomas Brian Yohanes Yohanie Fridelin Panduman