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Pengaruh Variasi Parameter Cnc Laser Cutting Terhadap Kualitas Pemotongan Plat Baja Sphc: The Effect Of Cnc Laser Cutting Parameter Variations On The Quality Of Sphc Steel Plate Cutting Fajar Adi Nugroho; Deni Hidayat
Jurnal Pendidikan Teknik Mesin Undiksha Vol. 13 No. 1 (2025)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptm.v13i1.93218

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh variasi parameter mesin CNC laser cutting terhadap kualitas hasil pemotongan plat baja SPHC. Parameter yang divariasikan meliputi kecepatan potong, fokus laser, tekanan gas oksigen, dan jenis nozzle. Dua spesimen diuji dengan pengaturan parameter yang berbeda. Spesimen 1, dengan kecepatan potong 2,3 m/min, fokus laser 5 mm, tekanan gas oksigen 0,5 BAR, dan nozzle berdiameter 1,5 mm, menghasilkan potongan halus, presisi, dan minim terak. Sebaliknya, Spesimen 2, dengan kecepatan potong 1 m/min, fokus laser 3 mm, dan nozzle 2,0 mm, menghasilkan potongan kasar dengan akumulasi terak. Hasil penelitian menunjukkan bahwa variasi parameter secara signifikan mempengaruhi kualitas potongan, di mana kombinasi parameter yang tepat mampu menghasilkan permukaan potong yang bersih, presisi tinggi, dan minim cacat. Temuan ini menegaskan pentingnya optimalisasi parameter mesin CNC laser cutting untuk efisiensi proses dan hasil produksi sesuai spesifikasi. Kata kunci: CNC Laser Cutting, Variasi Parameter Pemotongan, Plat Baja SPHC, Kecepatan Potong, Fokus Laser, Tekanan Gas Oksigen, Nozzle, Kualitas Permukaan.
Perancangan Mesin Pengering Kopi Otomatis dengan Arduino Uno Deni Hidayat; Siti Nur Istiqomah
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 9 No. 1 (2025)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v9i1.2159

Abstract

Processing of agricultural products, especially coffee, has an important role in the economy of rural communities. One of the main stages in coffee processing is the drying process, which aims to reduce the water content to an optimal level in order to maintain the quality of the coffee beans. In Mekar Buana Village, Tegalwaru District, Karawang, the drying process is still done manually, so it takes a long time and produces non-uniform quality. To overcome this problem, this research designed an automatic coffee drying machine based on Arduino Uno with the support of Internet of Things (IoT) technology. This machine allows automatic temperature and humidity settings and can be monitored remotely. Design analysis and static load stress testing were carried out using SolidWorks software to ensure the resistance of the machine structure to operational loads. The research results show that the designed machine is able to work optimally, increase the efficiency of drying time, and maintain the quality of coffee beans better than traditional methods. It is hoped that the implementation of this machine can increase the productivity of coffee farmers and support technological innovation in the agricultural sector.