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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Jurnal Rekayasa Mesin QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Welding Technology Jurnal Teknologi dan Riset Terapan (JATRA) Jurnal Konversi Energi dan Manufaktur Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Cakrawala Maritim Jurnal Cakrawala Maritim Jurnal Teknologi Maritim
Mochammad Karim Al Amin
Politeknik Perkapalan Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Rancang Bangun Aplikasi Intelligent Visual Scanner berbasis CNN untuk Identifikasi Cacat Pada Hasil Pengelasan Adhitya, Ryan yudha; Al Amin , Mochammad Karim; Munir , Mohammad Miftachul; Wahyudi, Mohammad Thoriq; Anggara , Dika; Septian , Eka Cahya; Yaqin , Muhammad Ainul; Safrudin, Muhammad Ilham; Annisa , Aulia Rahma; Ahmad Putra , Zindhu Maulana
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 4 No. 2 (2023): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v4i2.393

Abstract

Pengelasan merupakan salah satu sektor yang berperan penting dalam mendukung pembangunan infrastruktur yang semakin pesat. Namun dalam proses pengelasan banyak muncul kesalahan - kesalahan atau cacat yang terkadang luput dari inspeksi dan menyebabkan kerusakan pada benda kerja. Tujuan diadakannya penitian ini untuk merancang aplikasi Intelligent Visual Scanner dengan menggunakan metode CNN untuk mendeteksi kelayakan hasil pengelasan berdasarkan 3 kondisi, yaitu Normal, Excess Reinforcement, dan Undercut. Daerah yang akan dideteksi merupakan bagian dari hasil pengelasan pada plat besi dengan ketebalan 4mm. Pemotretan dilakukan menggunakan kamera ponsel beresolusi 48 MP. Gambar yang diambil berukuran 3024 x 3024 piksel terlebih dahulu diproses dengan konversi RGB ke grayscale, kemudian gambar tersebut diperkecil (diubah ukurannya) ke skala yang lebih kecil yaitu 128 x 128 piksel untuk mempercepat proses training dan pada akhirnya proses training dan testing menggunakan model CNN. Model CNN ini menggunakan optimizer Adam. Untuk deteksi yang optimal, diperlukan dataset gambar sebanyak 300 gambar, dengan rincian 100 gambar normal, 100 gambar Excess Reinforcement dan 100 gambar Undercut. Data split training saat ini dibagi menjadi 75% data training dan 25% data validasi.
Pemanfaatan Teknologi Las untuk Meningkatkan Keterampilan Masyarakat dalam Mendukung Wisata Religi Desa Al Amin, Mochammad Karim; Kurniyanto, Hendri Budi; Amri, Moh Syaiful; Wibowo, Alvalo Toto; Anggara, Dika; Kusminah, Imah Luluk; Rohmat, Imam Khoirul; Nisazarifa, Adristi; Sasongko, Kukilo Edy; Mustain, Eko
Qardhul Hasan: Media Pengabdian kepada Masyarakat Vol. 11 No. 2 (2025): Qardhul Hasan: Media Pengabdian kepada Masyarakat
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/qh.v11i2.20925

Abstract

Warga Desa Balun, Kecamatan Turi, Kabupaten Lamongan, saat ini masih minim pengetahuan dan keahlian dasar pengelasan. Di sisi lain, dunia industry menuntut tenaga kerja yang semakin terspesialisasi, terutama dalam proses dan mutu hasil las. Agar desa mampu bersaing, peningkatan kompetensi serta profesionalisme penduduk mutlak diperlukan-salah satunya lewat program pelatihan pengelasan dasar. Kegiatan pengabdian ini dirancang mendukung pengembangan Desa Balun sebagai destinasi wisata religi sekaligus “Desa Pancasila yang dikenal karena toleransi nya yang tinggi berkat keberadaan enam rumah ibadah (Hindu, Buddha, Islam, Kristen, Katolik, dan Konghucu). Pelatihan pengelasan ditargetkan membantu memperbaiki serta membangun sarana-prasarana penunjang pariwisata tersebut. Riset dilakukan memakai pendekatan kualitatif-partisipatif melalui observasi lapangan, dan penyebaran angket. Hasilnya memperlihatkan bahwa pendampingan terstruktur mampu meningkatkan keterampilan warga memproduksi kerajinan berbahan logam, berdampak langsung pada kenaikan pendapatan. Penguasaan teknik pengelasan juga mempercepat pembangunan dan pemeliharaan fasilitas wisata, sehingga daya tarik kawasan religi kian tumbuh. Dengan demikian, pemanfaatan teknologi dan pelatihan pengelasan terbukti efektif menumbuhkan partisipasi masyarakat serta meningkatkan kualitas dan kuantitas infrastruktur wisata di Desa Balun.
Implementasi U-Net CNN Untuk Klasifikasi Citra Hasil Pengelasan Rizki Mubarrok, Muhammad; Adhitya, Ryan Yudha; Al Amin, Mochammad Karim
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5220

Abstract

Metode Visual Testing menjadi salah satu metode yang umum digunakan untuk inspeksi hasil pengelasan kategori NDT. Metode ini biasanya digunakan sebagai metode pendeteksian awal hasil pengelasan sebelum dilakukan meetode pengujian lain. Penggunaan teknologi pengolahan citra diusulkan untuk membantu proses inspeksi visual hasil pengelasan. Pada penelitian ini model U-Net yang dikombinasi dengan CNN digunakan untuk proses klasifikasi hasil pengelasan. Hasil pengelasan yang coba diklasifikasi berupa hasil las normal, excessive reinforcement, porosity, dan undercut pada pipa baja karbon A106 Grade B. Model arsitektur terdiri dari arsitektur U-Net dengan kedalaman encoder dan decoder sebanyak 2 serta kombinasi layer klasifikasi CNN pada bagian akhir decoder. Penggunaan optimizer pada pelatihan model digunakan untuk mengoptimalkan proses pelatihan data pada model agar tingkat akurasi pelatihan dari model dapat lebih baik dan terhidar dari overfitting dan underfitting. Terdapat 3 tipe optimizer yang akan diterapkan pada model dan dicoba untuk dianalisis yaitu, Adam, SGDM, dan RMSprop. Didapatkan hasil optimizer SGDM pada akurasi pelatihan sebesar 98.75% dan hasil uji terhadap 40 citra baru sebesar 92.5%. Model berhasil membedakan hasil pengelasan menjadi normal, excessive reinforcement, undercut, dan porosity.
Analisis Variasi Jenis Elektroda Buffer Layer Pada Proses Hardfacing Material ASTM A216 WCB Terhadap Uji Visual, Uji Penetran Dan Makro Toto, Alvalo; Al Amin, Mochammad Karim; Wahyudi, M. Thoriq; Budi Kurniyanto, Hendri; Amri, Moh. Syaiful; Firmansyah, Moch. Aria; Leonard, Rikky
Jurnal Teknologi Maritim Vol. 9 No. 1 (2026): Jurnal Teknologi Maritim (In Press)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/jtm.v9i1.76

Abstract

ASTM A216 WCB is a cast carbon steel material commonly used in valve components due to its good mechanical properties and resistance to high temperatures. One of the major issues encountered in its application is surface wear. To enhance surface hardness and wear resistance, a hardfacing process was conducted using the GTAW welding method. This involved the application of buffer layers using ER308 and ER309 filler metals, followed by hardfacing layers of Stellite 12. A total of four specimens were prepared with varying combinations of buffer and hardfacing layer numbers. The visual inspection results indicated the absence of surface defects in all specimens, demonstrating good welding quality. Dye penetrant testing revealed a non-relevant indication on specimen 3 with a size of 1.3 mm, which remains within the acceptable limits as per ASME Section IX standards. Macroscopic examination showed sound fusion between layers, free from defects such as porosity or cracks. The deepest weld penetration was observed in specimen 4, which used the ER309 buffer layer, achieving a depth of 1.5 mm. Overall, the use of ER308 and ER309 buffer layers significantly influenced the quality of the hardfacing welds, contributing to the formation of homogeneous and defect-free layers. This study provides valuable insight into material selection and welding parameters to improve wear resistance in ASTM A216 WCB-based valve components within industrial environments.
ANALISIS PROSES PENGELASAN REPLATING LAMBUNG KAPAL PADA KONDISI FLOATING TERHADAP NILAI KEKERASANNYA: PENGELASAN LAMBUNG KAPAL Djumiati, Andri; Mochammad Karim Al Amin; Egi Yuliora; Nurul Atik Hamida; Puspita Khumairoh; Deby Ardianti; Sabila Fitri Afsari
Jurnal Teknologi Dan Riset Terapan (JATRA) Vol. 7 No. 2 (2025): Jurnal Teknologi dan Riset Terapan (JATRA) - December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jatra.v7i2.10850

Abstract

Replating the ship’s hull is an essential repair process to ensure that a vessel remains operationally seaworthy. Replating welding can be performed under both docking and floating conditions. These differing conditions influence the cooling rate, which in turn can result in variations in hardness (HV). This study examines the effect of varying the distance from the waterline (30, 60, 100, and 130 mm) and water temperature (25°C, 28°C, 30°C, and 32°C) on the hardness values produced during welding under floating conditions.Each variation combination was tested using the Vickers method with three repetitions, and the reported HV values represent the average of those measurements. The results show that the highest hardness value under floating conditions reached 218.5 HV (30 mm, 25°C), while the lowest was 195.7 HV (130 mm, 32°C). All measured hardness values remained within the acceptable limits specified by BKI for low-carbon steel.This study demonstrates that the closer the weld groove is to the water surface and the lower the water temperature, the higher the resulting hardness due to increased cooling rates. The limitations of this study include the absence of microstructural data and the unavailability of individual measurement data for further statistical analysis.
Effect of SMAW Process Parameters on Hardness, Temperature Distribution, and Micro–Macro Structure of A36 Steel Welded Joints Nursyifaulkhair, Desrilia; Priyambodo Nur Ardi Nugroho; Wardani, Dianita; Kharismajid , Kharismajid; Al Amin , Mochammad Karim; Khazi , Muhamad Eko Nur
Jurnal Konversi Energi dan Manufaktur Vol. 11 No. 1 (2026)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.11.1.1

Abstract

The outer shell of an ISO tank plays a critical role in maintaining the integrity of its contents by withstanding temperature fluctuations, pressure, and radiation. Research on the fabrication of liquefied natural gas (LNG) tank outer shells therefore provides both scientific and practical value, particularly in ensuring mechanical reliability and structural performance. This study investigates the welding of American Society for Testing Materials (ASTM) A36 steel plates using shielded metal arc welding (SMAW) and evaluates the effect of welding parameters on mechanical and microstructural properties. Four specimens were prepared by varying welding current at 70 and 80 A on plate thicknesses of 4 and 12 mm. The results indicate that both current and thickness significantly influence the weld zone microstructure, with transformations from ferrite–pearlite in the base metal to widmanstätten and acicular ferrite in the weld metal. In terms of mechanical performance, the highest hardness value of 198.387 HVN was recorded in the 4 mm specimen welded at 70 A, demonstrating the strong dependence of hardness on combined current and thickness conditions. These findings contribute to optimizing welding parameters for the safe and reliable application of LNG tank outer shells.
Analysis of Variation in the Number of Layers in the Hardfacing Process of ASTM A216 WCB Material on Hardness, Wear, and Microstructure Wibowo, Alvalo Toto; Al Amin, Mochammad Karim; Wahyudi, Mohammad Thoriq; Kurniyanto, Hendri Budi; Amri, Moh. Syaiful; Firmansyah, Moch. Aria; Leonard, Rikky; Wijaya, Alvido Toto
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 10 NUMBER 2 SEPTEMBER 2025
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/yknegr07

Abstract

The selection of transportation fleets plays a crucial role in determining the cost efficiency of logistics operations. This study aims to evaluate the feasibility of investing in company-owned vehicles compared to using third-party rental services on the Bandung–KTSH route operated by PT X. Using a quantitative approach with a causal associative design, this research applies the Vehicle Operating Cost (VOC) method supported by investment feasibility analysis tools including Cash Flow, Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PBP). The analysis shows that the average daily operational cost of company-owned vehicles reaches IDR 1.904.479, which is higher than the rental cost of IDR 1.865.385 per day. Additionally, the results show a negative NPV (-IDR 344.739.419), negative IRR (–11%), and an unattainable payback period within the 5-year investment horizon. Therefore, it is concluded that using leased vehicles is more cost-efficient than investing in company-owned trucks for this specific route.   DOI: https://doi.org/10.51557/yknegr07
Co-Authors Adhitya, Ryan Yudha Ahmad Putra , Zindhu Maulana Amrullah, Haidar Natsir Annisa , Aulia Rahma Aprilian, Elham Arif Rachman Bachtiar Bachtiar Bachtiar Budi Kurniyanto, Hendri Deby Ardianti Deny Wibisono Dianita Wardani Dika Anggara Djumiati, Andri Egi Yuliora Endang Pudji Purwanti Eriek Wahyu R W Eriek Wahyu Restu Widodo Eriek Widodo Febriti Aryan Kumala Firiambodo, Suthoni Yoga Firmansyah, Moch. Aria Hakim, Achmad Reyhan Fajar Ilham Khoirul Ibad Ilham Nurcholis Imam Khoirul Rohmat Kevin Satria Nugraha Kharismajid , Kharismajid Khazi , Muhamad Eko Nur Kurniyanto, Hendri Budi Kusminah, Imah Luluk Leonard, Rikky M Thoriq Wahyudi M. Thoriq Wahyudi Ma'ruf, Buana Moch. Aria Firmansyah Moh. Miftachul Munir Moh. Syaiful Amri Mohammad Thoriq Wahyudi Muhamad Ari Muhamad Iqbal Farhani Munir , Mohammad Miftachul Mustaghfirin, Muhammad Anis Mustain, Eko Nisazarifa, Adristi Nursyifaulkhair, Desrilia Nurul Atik Hamida Prastyawan, Rikat Eka Pratama Putra, Mochammad Yudha Aditya Priyambodo Nur Ardi Nugroho Purwanti, Endang Pudji Puspita Khumairoh Putera, Erwien Yuliansyah Restu Widodo, Eriek Wahyu Rizki Mubarrok, Muhammad Rohman, Muhammad Yuqal Abi RR. Ella Evrita Hestiandari Ruddianto, Ruddianto Sabila Fitri Afsari Safrudin, Muhammad Ilham Saputro, Dimas Sasongko, Kukilo Edy Septian , Eka Cahya Soelistijono, Rafi Febian Teddy Eka Wijaya Toto, Alvalo Wahyudi, Mohammad Thoriq Wibowo, Alvalo Toto Wijaya, Alvido Toto Wiwik Dwi Pratiwi Wiwik Dwi Pratiwi Yaqin , Muhammad Ainul