Penggunaan Metode Preference Selection Index (PSI) Untuk Penentuan Kondisi Laser Cutting

Yaslinda Lizar, Alya Sahira Firrizqi

Abstract


This study discusses the application of the Preference Selection Index (PSI) method or Preference Selection Index to be able to optimize laser cutting. The application of the PSI method represents the decision making of a multi-criteria MCDM that has not been studied more and requires a consideration in determining laser cutting parameters. The main purpose of applying this method is for multi-criterion decision making (MCDM) that does not require an assessment of the relative significance of the criteria under consideration. The method used is the preference selection index, which can provide convenience in making decisions because the process is very simple. The results of experiments using the L27 Taguchi orthogonal array, Cut surface roughness, heat-affected zone (HAZ), kerf width and material removal rate (MRR) were considered optimization criteria. The methodology is found to be particularly useful in real manufacturing environments as it involves simple calculations that are easy to understand and apply.

Keywords


Laser Cutting; PSI Method; MCDM Optimization; Quality Cutting

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References


DAFTAR PUSTAKA

A. Kumar Dubey and V. Yadava, “Multi-objective optimisation of laser beam cutting process,” Opt Laser Technol, vol. 40, no. 3, pp. 562–570, Apr. 2008, doi: 10.1016/j.optlastec.2007.09.002.

M. Madić, J. Antucheviciene, M. Radovanović, and D. Petković, “Determination of laser cutting process conditions using the preference selection index method,” Opt Laser Technol, vol. 89, pp. 214–220, Mar. 2017, doi: 10.1016/j.optlastec.2016.10.005.

U. Çaydaş and A. Hasçalik, “Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics,” Opt Laser Technol, vol. 40, no. 7, pp. 987–994, Oct. 2008, doi: 10.1016/j.optlastec.2008.01.004.

B. S. Yilbas, S. J. Hyder, and M. Sunar, “The Taguchi method for determining CO2 laser cut quality,” J Laser Appl, vol. 10, no. 2, pp. 71–77, Apr. 1998, doi: 10.2351/1.521823.

M. Madić, M. Radovanović, M. Manić, and M. Trajanović, “Optimization of ANN models using different optimization methods for improving CO2 laser cut quality characteristics,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 36, no. 1, pp. 91–99, Jan. 2014, doi: 10.1007/s40430-013-0054-6.

E. K. Zavadskas, T. Vilutienė, Z. Turskis, and J. Šaparauskas, “Multi-criteria analysis of Projects’ performance in construction,” Archives of Civil and Mechanical Engineering, vol. 14, no. 1, pp. 114–121, Jan. 2014, doi: 10.1016/j.acme.2013.07.006.

W. M. Kifti and I. Hasian, “Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI (Preference Selection Index),” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 5, no. 3, p. 762, Jul. 2021, doi: 10.30865/mib.v5i3.2994.

M. Klarasia Siahaan, S. Adelina Hutabarat, and J. Afriany, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PEMBANGUNAN DAERAH MENERAPKAN METODE PREFERENCE SELECTION INDEX (PSI),” 2018. [Online]. Available: http://ejurnal.stmik-budidarma.ac.id/index.php/komik

H. Al Kautsar Aidilof and A. Imran Nasution, “SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA PENINGKATAN PRESTASI AKADEMIK MENGGUNAKAN METODE PREFERENCE SELECTION INDEX,” 2022. [Online]. Available: https://ejurnal.teknokrat.ac.id/index.php/teknoinfo/index

I. Dwi Pangestu, “Penerapan Metode Preference Selection Index untuk Sistem Pendukung Keputusan Pemilihan Supervisor di PT Arkananta,” Jurnal Teknosains Kodepena |, vol. 02, pp. 37–49, 2021.

J. Hutagaol and K. M. Hutahaean, Seminar Nasional Sains & Teknologi Informasi (SENSASI) Sistem Pendukung Kepetusan Pembelian Laptop Bekas dengan Menerapkan Metode Preference Selection Index (PSI). [Online]. Available: http://prosiding.seminar-id.com/index.php/sensasi/issue/archivePage|446

A. U. Bani, Y. L. Prambodo, and A. Azlan, “Sistem Pendukung Keputusan Penentuan Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Preference Selection Index (PSI),” Building of Informatics, Technology and Science (BITS), vol. 4, no. 3, Dec. 2022, doi: 10.47065/bits.v4i3.2657.

W. I. Safitri and S. Mesran, “Penerapan Metode Preference Selection Index (PSI) Dalam Penerimaan Staff IT,” Bulletin of Informatics and Data Science, vol. 1, no. 1, 2022, [Online]. Available: https://ejurnal.pdsi.or.id/index.php/bids/index

S. Keputusan Dirjen Penguatan Riset dan Pengembangan Ristek Dikti, D. Anandra, and A. Ambarwati, “Terakreditasi SINTA Peringkat 4 Implementasi Metode Preference Selection Index Pada Pemilihan Penerima Bantuan SEMBAKO,” 2018.

Anisa Tanzil Hasibuan, Penerapan Metode Preference Selection Index (PSI) Dalam Perekrutan Tutor

JURNAL SISTEM INFORMASI TGD, Volume 1, Nomor 4, Juli 2022, Hal 394-404

https://ojs.trigunadharma.ac.id/index.php/jsi




DOI: https://doi.org/10.15548/jostech.v3i2.6840

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