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All Journal EMITTER International Journal of Engineering Technology Jurnal Informatika dan Multimedia Jurnal Jaringan Telekomunikasi Jurnal Pengabdian Masyarakat Bhinneka Software Development Digital Business Intelligence and Computer Engineering Applied Information Technology and Computer Science (AICOMS) Cahaya Pengabdian Jurnal Serina Abdimas
Herman Yuliandoko, Herman
State Polytechnic of Banyuwangi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Aplikasi Metode Hibrid Fuzzy Logic dan Teknik Taguchi untuk Optimasi Multi-Respons pada Proses Bubut Material ST-60 Wahid, Mohammad Abdul Wahid; Moh. Nur Shodiq1; Pamuji, Dian Ridlo; Kusuma, Dedy Hidayat; Yuliandoko, Herman; Lusi, Nuraini
Software Development, Digital Business Intelligence, and Computer Engineering Vol. 4 No. 2 (2026): SESSION (MARET)
Publisher : Politeknik Negeri Banyuwangi Jl. Raya Jember km. 13 Labanasem, Kabat, Banyuwangi, Jawa Timur (68461) Telp. (0333) 636780

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/session.v4i2.2026.30-36

Abstract

Surface roughness determines the quality of the lathe process, while the material machining rate indicates productivity. The higher the machining rate of the material, the shorter the cutting time and the higher the productivity. In the metal cutting process, especially the lathe process, it must produce workpieces with quality that meets specifications with a short cutting time. However, this will be difficult to do because the surface roughness characteristics and machining rate of the materials are different. The lower the surface roughness value, the better the quality of the turning process results. Meanwhile, increasing the material processing rate will result in a more productive and faster turning process. To obtain output in the form of optimal surface roughness and material machining rate simultaneously, the selection of turning process parameters must be considered carefully. This research aims to obtain the right turning process parameter settings in order to obtain optimal surface roughness output and material machining rate. The optimization method used is Taguchi-Fuzzy. Based on the results of the experiment, optimization process, and analysis that were conducted, it can be concluded that the combination of process variable levels that simultaneously produce optimum arithmetic surface roughness, average total surface roughness, and material removal rate are as follows: level 1 coolant, using a cold water solvent and air pressure; level 3 spindle speed at 1200 rpm; level 3 feed rate at 0.161 mm/rev; and level 3 cutting depth at 0.5 mm
Co-Authors Arief Wardhany, Vivien Ayatullah, Mohamad Dimyati Fuad Al Haris, Muhammad Junaedi Adi Prasetyo Kumala, Dana Kusuma, Dedy Hidayat Lusi, Nuraini M Udin Harun Al Rasyid, M Udin Harun Maulana, Ahmad Nur Moh. Nur Shodiq, Moh. Nur Moh. Nur Shodiq1 Mustofa Hilmi Nobuo Funabiki, Nobuo Nur Shodiq, Moh. Pamuji, Dian Ridlo Sari, Mega Devita Sri Andayani Sritrusta Sukaridhoto Subono, Subono Utomo, Agus Priyo Wahid, Mohammad Abdul Wahid