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All Journal SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Rekayasa Mesin Journal of Electrical Technology UMY Jurnal Rekayasa Material, Manufaktur & Energi JURNAL PENDIDIKAN TAMBUSAI Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Community Development Journal: Jurnal Pengabdian Masyarakat Innovative: Journal Of Social Science Research Ekasakti Matua Jurnal Manajemen
Tanjung, Iqbal
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Studi Eksperimental Pengaruh Parameter Pemakanan terhadap Kekasaran Permukaan Baja AISI 1045 pada Proses Pemesinan Bubut Harahap, Jagodang; Maulidin, Maulidin; Saputra, Edi; Tanjung, Iqbal; Nasution, Arya Rudi
Rekayasa Material, Manufaktur dan Energi Vol 9, No 1: JANUARI 2026
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v9i1.28323

Abstract

ABSTRACKThe quality of machining results in turning operations is strongly influenced by the surface finish produced. Surface roughness is a critical parameter for assessing machining performance as it directly affects wear resistance, efficiency, and the service life of components. Medium carbon steel AISI 1045 is widely applied in manufacturing industries, particularly for shafts, gears, and structural elements, due to its favorable mechanical properties. However, its surface finish is highly sensitive to machining parameters, making the selection of cutting conditions essential. This study aims to evaluate the effect of cutting speed and depth of cut on the surface roughness of AISI 1045 steel using conventional turning. Cylindrical specimens measuring Ø30 mm × 80 mm were machined with a carbide cutting tool under three cutting speeds (127, 225, and 510 rpm) and four depths of cut (0.2, 0.4, 0.4 and 0.6 mm). Surface roughness was measured using a Mitutoyo SJ-310 profilometer at four reference points, and the average Ra value was taken as the representative result. The findings reveal that the lowest cutting speed (127 m/min) combined with the smallest depth of cut (0.2 mm) produced the smoothest surface with Ra = 2.388 µm. In general, increasing cutting speed and depth of cut led to lowew roughness values, with the maximum recorded at 9.760 µm under certain extreme conditions. Several anomalies were also observed at high cutting speeds due to vibration and process instability. In conclusion, proper selection of machining parameters is crucial to achieving optimal surface quality while maintaining process efficiency. These results may serve as a practical reference for manufacturing industries in optimizing the turning of AISI 1045 steel.
IoT Smart Control System: Smoke and Fire Detection Using SIM900A Module Siregar, Rahmat Fauzi; Affandi, Affandi; Rohana, Rohana; Nasution, Arya Rudi; Tanjung, Iqbal
Journal of Electrical Technology UMY Vol. 7 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v7i2.19908

Abstract

The main focus of this system is to detect smoke and fire effectively in potential hazard situations. This system utilizes sensor technology to monitor changes in environmental conditions, with the aim of providing quick responses and notifications to users or relevant authorities via a cellular connection. This approach combines feedback signals from sensors and cellular connectivity using the SIM900A module processed with a microcontroller to increase the efficiency and reliability of hazard detection. This system was designed with the aim of providing an efficient and affordable solution for detecting potential fires or other hazardous situations in various environments, including homes, offices and industrial areas. Trial results show that this system is capable of detecting smoke and fire with high accuracy, as well as providing instant notifications via text messages or digital notifications. This innovation is expected to make a positive contribution in improving safety and security in various sectors, while leveraging the potential of IoT connectivity to provide smarter solutions in hazard detection.
Co-Authors ., Israr Affandi Affandi . Affandi Affandi Ahmad Marabdi Siregar Arya Rudi Nasution Dina Adawiyah Edi Saputra Efrida, Rizki Fachry Abda El Rahman Fonna, Syarizal Huzni , Syifaul Irfan Nofri Jagodang Harahap Lubis , ‪Riadini Wanty Lubis, Riadini Wanty M. Ibrahim, Israr Bin Maulidin, Maulidin Rizki Ananda ROHANA ROHANA Rukanda, Doni Siregar, Chandra A Siregar, Rahmat Fauzi Siswahyudianto Sumarni Sumarni Sunaryo, Andi Sunnreni Syahrul Fathi Syifaul Huzni Zuli Agustina Gultom