Decision Support System for Industry Machine Maintenance Using Weight Product (WP) Method
DOI:
https://doi.org/10.38043/tiers.v3i2.3880Keywords:
Decision Support System, Machine, Maintenance, Weight Product (WP)Abstract
Machine maintenance management is one of the important aspects in every industry. Implementation of machine maintenance management requires the management of various types of data such as machine age, machine condition and so on. Data management with the help of a decision support system will help improve the effectiveness and efficiency of machine maintenance management. In making the right and correct decisions, it is necessary to have decision support. Without machine maintenance management, it can harm the industry because the machine maintenance schedule cannot be determined optimally, and the costs incurred by repair, maintenance and production cessation activities cannot be determined directly. Therefore, the industry needs a decision support system that is able to improve the efficiency of its machine maintenance management. This research focuses on the design and development of a machine maintenance decision support system application using the weighted product (WP) method. Weighted product (WP) method is one of the multi criteria decision making methods used to determine the final decision by using several criteria. This method can provide a reliable methodology that helps to organize the most optimized result in the presence of many different opportunities, parameters, and constraints. Research method used in this study is the Web Engineering Method. This system is developed by using PHP programming language and MySQL as a database. This system is expected to increase the effectiveness and efficiency of machine maintenance management.
Downloads
References
Hagström, M. Hane., Gandhi, K., Skoogh, A. (2020). Evaluating the effectiveness of machine acquisitions and design by the impact on maintenance cost – a case study. IFAC Papers OnLine. 18 December 2020. Volume 53, Issue 3 (Cover date: 2020). Pages 25-30.
Sheposh, R. (2017). Circular economy. Salem Press Encyclopedia, 2p.
Wakiru, J., Pintelon, L., Muchiri, P., & Chemweno, P. (2018). Maintenance optimization: Application of remanufacturing and repair strategies. Copenhagen: 25th CIRP Life Cycle Engineering Conference 30 April-2 May.
Barzah, Muhammad, Tutus Rully, dan Sri Hidajati Ramdani. “Analisis kegiatan pemeliharaan mesin dalam rangka meminimumkan biaya.” Jurnal online mahasiswa (jom) bidang manajemen, 2020:1-15
Widat, Shafwil Widat, Devita Nur Awalina, and Kiki Maulia Mufidah. "Analisis kegiatan pemeliharaan mesin dan bangunan pada pabrik tahu untuk meminimumkan biaya saat pandemi covid-19." juornal of economics and policy studies 2.2 (2021): 75-82.
de Andrade, W.A. Wagner., de Oliveira, A. Marcelo., Vieira, K. Raimundo. (2022). Evaluation of maintenance management of a thermoplastic industry using maintenance maturity model. Procedia Computer Science.10 September 2022. Volume 204 (Cover date: 2022). Pages 635-642.
Yuliandra, Berry, and Kushisa Atta Jaeba. "Perancangan Sistem Informasi Perawatan Mesin Pada PT XYZ." Jurnal Rekayasa Sistem Industri 6.1 (2017): 9-20.
Syahputra, T., Yetri, M., Armaya, S. D., & Informasi, S. (2017). Sistem pengambilan keputusan dalam menentukan kualitas pemasukan pangan segar metode smart.Jurnal Teknologi Dan Sistem Informasi. ISSN 2407-1811, Vol.IV No.1, 7–13.
Hayuningtyas, R. Y. (2019). Penerapan Algoritma Naïve Bayes untuk Rekomendasi Pakaian Wanita. Jurnal Informatika, Vol. 6 No. 1 April, Pp. 18~22 ISSN: 2355-6579, 18–22.
Rahmayani, N., Syarif, M., Bina, U., Informatika, S., Bina, U., & Informatika, S. (2019). Pengambilan Keputusan Memilih Sekolah Dengan Metode AHP. Jurnal Informatika, Vol.6 No.1 April, Pp. 143~150 ISSN: 2355-6579, 143–150.
Ilie-Zudor, E., Kemeny, Z., Pfeiffer, A., & Monostori, L. (2017). Decision support solutions for factory and network logistics operations. International Journal of Computer Integrated Manufacturing, 30(1), 63–73.
Chintya Irwana , Zaki Faizin Harahap, A. P. W. (2018). SPK: Analisa Metode Moora Pada Warga Penerima Bantua Renovasi Rumah. Jurnal TI, Vol 10 No.1, Juni, 10, 47–54.
Mitrofani, A. Ioanna., Emiris. M. Dimitros., Koulouriotis, E. Dimitrios. (2020). An Industrial Maintenance Decision Support System based on Fuzzy Inference to Optimize Scope Definition. Procedia Manufacturing.19 November 2020. Volume 51 (Cover date: 2020). Pages 1538-1543
U. Rahamathunnisa ??? B. Chellappa, Decision-Support Systems: An Overview, International Journal of Mechanical Engineering and Technology, vol. 9, No. 7, p. 252–255, 2018.
Kurniawan, D., & Purba, A. B. (2018). Menentukan Pemenang Konvensi Quality Imporvement Circle Dengan Metode Weighted Product Dan Simple Additive Weighting. ILKOM Jurnal Ilmiah Volume 10 Nomor 1 April, 10 April, 1–10.
Emovon, Ikuobase and Oghenenyerovwho, Stephen Okpako. (2020). Application of MCDM method in material selection for optimal design: A review. Results in Materials.19 June 2020. Volume 7 (Cover date: September 2020). Article 100115.
Sahabuddin, Md and Khan, Imran. (2021). Multi-criteria decision analysis methods for energy sector's sustainability assessment: Robustness analysis through criteria weight change. Sustainable Energy Technologies and Assessments. 14 June 2021.Volume 47 (Cover date: October 2021). Article 101380
Mulawarman, A. (2011). Pembuatan Model SPK Menggunakan FMADM Untuk Menentukan Komoditi Unggulan Pada Daerah Agroinnustri Propimsi Lampung. Manajemen Informatika STMIK Pringsewu Lampung.
Rahma, P., Nasir, M., & Putra, A. (2019). Implementasi Metode Weighted Product dalam Sistem Pendukung Keputusan Kelayakan Pemberian Tunjangan Profesi Guru Lanjutan pada Dinas Pendidikan Kabupaten Ogan Komering Ilir, Bina Darma Conference on Computer Science. Fakultas Ilmu Komputer Universitas Bina Darma, 263–269.
Aria, R. R., & Susilowati, S. (2019). Sistem Pemilihan Laptop Terbaik Dengan Menggunakan Metode WP. Jurnal TECHNO Nusa Mandiri Vol. 16, No. 1 Maret, 15–20.
Burhanuddin, D. (2017). SPK Dalam Pemberian Beasiswa Dengan Menggunakan Metode Weightid Product. CESS (Journal of Computer Engineering System and Science) Vol. 2 No. 2 Juli, 83–87.
Agus Umar Hamdani, R. L. M. (2019). Model E-Commerce Dengan Metode Web Enginering Method Untuk Menunjang Pemasaran Produk Pada XYZ Pet Shop. Prosiding SENDI_U 2019, 978–979.
Wira, D., Putra, T., & Andriani, R. (2019). Unified Modelling Language ( UML ) dalam Perancangan Sistem Informasi Permohonan Pembayaran Restitusi SPPD. Jurnal TEKNOIF.
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung : Alfabeta, CV.
Mubarok, A., Suherman, H. D., Ramdhani, Y., & Topiq, S. (2019). Sistem Pendukung Keputusan Kelayakan Pemberian Kredit Dengan Metode TOPSIS. Jurnal Informatika, 6(1), 37-46.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Rika Yunitarini, Ernaning Widiaswanti
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
