Optimasi Penentuan Vendor Untuk Optimasi Penentuan Vendor Untuk Material Pesawat Menggunakan Algoritma Particle Swarm Optimization
Abstract
In the aviation industry, determining vendors for aircraft materials is an important task that can affect the quality, reliability and safety of aircraft. The selection of the right material for the aircraft is crucial, because it is closely related to the operational sustainability and overall performance of the aircraft. However, determining vendors for aircraft materials often involves a variety of complex criteria and requires an efficient and precise approach. In this study, using the Particle Swarm Optimization (PSO) Algorithm to solve the problem of determining aircraft material vendors. The PSO algorithm has proven effective in a variety of optimization problems and offers a population-based approach inspired by group behavior in nature. By utilizing the PSO algorithm, it can optimize the process of determining vendors for aircraft materials by considering criteria such as quality of delivery and average quality score. The results of the research show that the PSO algorithm is able to find the optimal combination of vendors efficiently, thereby helping stakeholders make more informed and result-oriented decisions. In addition, the results of this study also show that the PSO algorithm itself has a weakness, namely being stuck at a local optimum, having difficulty finding global solutions. Particles moving towards a local optimum may reduce exploration effort to find a better solution globally.
References
Adrian, R., Fauziyyah, A. K., & Alam, S. (2022). Continuous Integration/Continuous Delivery Optimization on Network Automation using Gray Wolf Optimizer. Sistemasi: Jurnal Sistem Informasi, 11(3), 776-784.
Ananda, M. R., Maharani, N. S., Fadhila, E., & Rahma, A. (2023). Data Mining Dalam Perusahaan PT Indofood Lubuk Pakam. Jurnal Ekonomi Manajemen dan Bisnis (JEMB), 2(1), 97-102.
Anggraini, R., Sari, P., Aisyah, S., Adhiko, R. G., Fadillah, T. D., & Awalia, K. (2022). Analisis Perencanaan Dan Pengawasan Persediaan Minyak Kelapa Sawit Pada PT. Pacific Palmindo Industri Medan. Accumulated Journal (Accounting and Management Research Edition), 4(2), 160-172.
Ardhy, F., Fernanda, F. E., Kurnia, U. I., Alfina, A., Salimu, S. A., Wassalam, O. J. F., ... & Pratama, R. Y. (2023). F, UML Pelatihan Analisis dan Desain Sistem Informasi Menggunakan Unified Modeling Language (UML) di SMK Pelita Madani Kabupaten Pringsewu. Abdimas Universal, 5(1), 97-104.
Arofiq, N. M., Erlangga, R. F., Irawan, A., & Saifudin, A. (2023). Pengujian Fungsional Aplikasi Inventory Barang Kedatangan Dengan Metode Black Box Testing Bagi Pemula. OKTAL: Jurnal Ilmu Komputer dan Sains, 2(05), 1322-1330.
Dewananta, M. F., & Ariyani, E. (2023). Perancangan Sistem Informasi Pengendalian Persediaan Sparepart dengan Metode Economic Order Quantity di Bengkel Mobil Sumber Jaya Probolinggo. Jurnal Ilmiah Dikdaya, 13(1), 287-296.
Biringkanae, P., & Bunahri, R. R. (2023). Literature Review Penggunaan Teknologi Kecerdasan Buatan dalam Penerbangan: Analisis Perkembangan Teknologi, Potensi Keamanan, dan Tantangan. Jurnal Ilmu Manajemen Terapan, 4(5), 745-752.
Dika, R. Y., Pahlevi, M. F., & Agustin, A. R. (2023). Analisis Komprehensif Terhadap Peran Manajer Proyek Dalam Mengelola Proyek Yang Kompleks. Jurnal ilmiah Sistem Informasi dan Ilmu Komputer, 3(2), 209-226.
Delfina, D., Anantia, R., Ng, I., Quinn, F., Wijaya, A. J., & Lie, H. W. (2023). Operasional PT Astra Agro Lestari Tbk Sebelum, Saat, dan Sesudah Masa Pandemi COVID-19. YUME: Journal of Management, 6(2), 636-647.
Fauzi, M. Z. (2023). Efektivitas Penerapan Sistem Enterprise Resource Planning (ERP) Dalam Operasional Pergudangan Pada Gudang Perum Bulog Meger Klaten (Doctoral dissertation, Universitas Diponegoro).
Firdaus, A. F., & Firdaus, W. I. (2021). Text Mining Dan Pola Algoritma Dalam Penyelesaian Masalah Informasi:(Sebuah Ulasan). JUPITER (Jurnal Penelitian Ilmu dan Teknik Komputer), 13(1), 66-78.
Ladita, P. (2020). Analisis penerapan aplikasi android tokocrypto menggunakan pendekatan design thinking dibantu dengan platform design toolkit v. 2 (Bachelor's thesis, Fakultas Sains dan Teknologi Universitas Islam Negeri Syarif Hidayatullah Jakarta).
Mafaza, S. A. R., & Haryati, E. S. (2022). Analisis Safety Management System Petugas AMC Dalam Menangani Bahaya Hewan Liar di Area Airside Bandar Udara Adi Soemarmo Surakarta. Jurnal Multidisiplin Madani, 2(5), 2533-2550.
Maknun, M., Pramukti, A., & Pelu, M. F. A. (2023). Evaluasi Peran Target Costing dalam Manajemen Biaya Produksi (Studi Kasus CV GRV Interior). SEIKO: Journal of Management & Business, 6(2), 465-478.
Octavianie, A. (2020). Penerapan Safety Management System pada AMTO 147D-13 Program Studi Teknologi Pemeliharaan Pesawat Udara Politeknik Penerbangan Makassar. Airman: Jurnal Teknik dan Keselamatan Transportasi, 3(2), 129-135.
Rakasiwi, S. (2023). Teknik Menjamin Kualitas Bagi Pengembang Perangkat Lunak. Penerbit Yayasan Prima Agus Teknik, 1-138.
Rusdiana, D., Ali, Y., Thamrin, S., & Widodo, R. (2021). Strategi Pembangunan Industri Pertahanan Pada Negara Kepulauan Guna Mendukung Pertahanan Negara. Academia Praja: Jurnal Ilmu Politik, Pemerintahan, dan Administrasi Publik, 4(2), 427-440.
Sabry, F. (2021). Robotika Otonom: Bagaimana Robot Otonom akan ada di Sampul Majalah Time? (Vol. 6). One Billion Knowledgeable.
Sari, N. H. (2019). Teknologi Papan Komposit Diperkuat Serat Kulit Jagung. Deepublish.
Shami, T. M., El-Saleh, A. A., Alswaitti, M., Al-Tashi, Q., Summakieh, M. A., & Mirjalili, S. (2022). Particle swarm optimization: A comprehensive survey. IEEE Access, 10, 10031-10061.
Sharif, M., Amin, J., Raza, M., Yasmin, M., & Satapathy, S. C. (2020). An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor. Pattern Recognition Letters, 129, 150-157.
Tharwat, A., & Schenck, W. (2021). A conceptual and practical comparison of PSO-style optimization algorithms. Expert Systems with Applications, 167, 114430.
Yudhanto, Y., & Azis, A. (2019). Pengantar Teknologi Internet of Things (IoT). UNSPress.
Zahro, H. Z., & Wahyuni, F. S. (2020). Optimasi Particel Swarm Optimazation (Pso) Untuk Penentuan Base Trancivier System (Bts). Jurnal Mnemonic, 3(1), 7-10.
Zhu, Y., Li, G., Wang, R., Tang, S., Su, H., & Cao, K. (2021). Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization. Applied Acoustics, 183, 108336.
