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All Journal Rekayasa Mesin JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY JURNAL INTEGRASI Jurnal Teknologi dan Riset Terapan (JATRA) Journal of Engineering and Applied Technology Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Journal of Applied Mechanical Technology (JAMET) Jurnal Pendidikan Teknik Mesin
Nur Fitria Pujo Leksonowati
Politeknik Negeri Batam
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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STUDI KERUSAKAN MESIN WHEEL LOADER LIUGONG ZL50CN MENGGUNAKAN FMEA DAN DIAGRAM FISHBONE Domi Kamsyah; Hasan Fajriansyah Ramadhani; Nur Fitria Pujo Leksonowati; Nadhrah Wivanius
Jurnal Pendidikan Teknik Mesin Vol. 12 No. 1 (2025): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v12i1.77

Abstract

Power system merupakan sistem yang memberikan tenaga agar wheel loader dapat beroperasi dan merupakan sumber penggerak utama bagi sistem atau komponen lainnya. Kegagalan fungsi pada power system mengganggu kerja sistem lain yang dapat berdampak kepada penurunan produktivitas, downtime, dan biaya perbaikan yang tinggi. Penelitian ini dilakukan untuk mencari tahu penyebab kegagalan power system dari wheel loader Liugong ZL50CN, dengan cara mengidentifikasi kemungkinan kegagalan dengan menggunakan metode FMEA dan dilanjutkan menggunakan diagram fishbone untuk melihat penyebab kegagalan. Hasil analis menunjukkan bahwa penyebab utama penyebab kerusakan pada mesin wheel loader ZL50CN dalam kurun waktu Januari 2021 sampai Desember 2023 adalah kerusakan sistem pendingin mesin. Hasil FMEA membuktikan bahwa modus kegagalan kerusakan sistem pendingin mesin memiliki nilai RPN tertinggi yaitu sebesar 243. Digram fishbone merinci penyebab apa saja yang membuat modus kegagalan kerusakan sistem pendingin mesin yang terdiri dari 4 faktor utama yaitu mechine, material, man, dan metode. Kata kunci: FMEA, Digram fishbone, RPN
Intergranular Corrosion Rate Analysis of UNS N06625 Overlay Material Based on ASTM G28-2024 Testing Adi Syahputra Purba; Mutia Amalia; Rona Cuana; Nur Fitria Pujo Leksonowati; Abdul Aziz Al Hakim Panjaitan
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 10 No. 1 (2026): June 2026 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v10i1.17259

Abstract

Intergranular corrosion is one of the degradation mechanisms that can reduce the reliability of nickel-based alloy materials in corrosive environments. UNS N06625 is well known for its excellent corrosion resistance due to the presence of alloying elements such as chromium, nickel, and molybdenum, which promote the formation of a stable passive layer. This study aims to determine the intergranular corrosion rate of UNS N06625 overlay material based on the ASTM G28-2024 Method A testing standard. Corrosion testing was conducted by immersing specimens in a corrosive solution at boiling temperature for 120 hours, and the corrosion rate was calculated using the mass loss method. The results indicate an intergranular corrosion rate of 0.454 mm/year, demonstrating excellent corrosion resistance. The low corrosion rate is associated with the stability of the microstructure and the effectiveness of the passive oxide layer in inhibiting corrosion processes. Therefore, UNS N06625 overlay material is considered suitable for applications in highly corrosive environments.
PENGARUH KEDALAMAN PEMAKANAN TERHADAP KEKASARAN PERMUKAAN MATERIAL BAJA S45C PADA PROSES PEMBUBUTAN Firdhan Maulana Alhafizh; Muhammad Hasan Albana; Nur Fitria Pujo Leksonowati
Jurnal Teknologi Dan Riset Terapan (JATRA) Vol. 8 No. 1 (2026): Jurnal Teknologi Dan Riset Terapan (JATRA) - Juni 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jatra.v8i1.12752

Abstract

Surface quality is a crucial parameter in the machining process and is significantly influenced by the depth of cut. Selecting this parameter directly affects process efficiency and final product quality. This study aims to investigate the effect of depth of cut on the surface roughness of S45C steel during a conventional lathe turning process. The experimental method involved four depth-of-cut settings (0.2 mm, 0.5 mm, 1.0 mm, and 2.0 mm), with cutting speed and spindle rotation held constant. The turning process was performed using an insert tool, and the resulting surface roughness was measured with a surface roughness tester. The results indicated that as the depth of cut increases, surface roughness (Ra, Rq, and Rz) tends to increase. The best surface quality (average Ra 1.291) was achieved at the smallest depth of cut (0.2 mm), whereas the roughest surface (average Ra 2.728) resulted from the largest depth of cut (2.0 mm). This increase in roughness is attributed to higher cutting forces and vibrations during the machining process. Thus, the proper selection of the depth of cut is crucial for achieving optimal surface quality and machining efficiency.  
Co-Authors Abdul Aziz Al Hakim Panjaitan Adhe Aryswan Adi Syahputra Purba Adimas, Adimas Ahmad Farhan, Ahmad Annisa Fyona Ari Wibowo Aulia Fajrin Auliana Diah Wilujeng Baharudin, Budi Batubara, Ninda Batubara, Ninda Hardina Budi Baharudin Butar, Hendra Butar Cahyo Budi Nugroho Danang Cahyagi Dety Febrianti Dimas Prasetyo Domi Kamsyah Dupan, Pandi Dzulfikar, Mohamad Alif Fajrin, Aulia Fedia Restu Firdhan Maulana Alhafizh Firmansyah, Adi Ridho Hanifah Widiastuti Hasan Fajriansyah Ramadhani Hendra Saputra Ihsan Saputra Irawan, Benny Haddli Ita Wijayanti James Siregar Khollilurrahman, Kholillurrahman Lalu Giat Juangsa Putra Leo Van Gunawan Manurung, Meilani Manurung, Meilani Mandalena Mega Fatimah Rosana Mega Gemala Meilani Mandhalena Manurung Mohamad Alif Dzulfiqar Mufariz, Mufti Fathonah Mufti Fathonah Muvariz Muhammad Hasan Albana Muhammad Ismail Mutia Amalia Mutiarani Mutiarani MUTIARANI MUTIARANI Nadhrah Wivanius Naufal Abdurrahman Prasetyo Nicolanta Hiskia Sembiring Nidia Yuniarsih Nugroho Pratomo Ariyanto Nurman Pamungkas Nurul Laili Arifin Nurul Ulfah Nurul Ulfah Purba, Adi Rahman Hakim Rahman Hakim Rahman Hakim Reynaldi, Muhammad Ryan Rohmat, Abdul Rona Cuana Rosbandrio, Wowo Roza Puspita Salman Al Faris Sapto Wiratno Satoto Siregar, James Suheri Suheri Widodo Widodo Widodo Widodo Windy Stefani