Sistem Pendukung Keputusan Cerdas Menggunakan Metode Ant Colont Optimization (ACO) untuk Pencarian Jalur Optimum Rantai Pasok Bioenergi Berbasis Kelapa Sawit
Keywords:
Intelligent Decision Support System, Supply Chain, Optimum Path, Ant Colony, Oil Palm
AbstractThe concept of supply chain management in business activities is very necessary. This concept involves more than one type of company. One of the businesses that requires this concept is palm oil-based bioenergy management. The optimal path in the supply chain network is very difficult, because the product supply chain network is perishable. For that we need an intelligent decision support system model in the search for the optimal path. The purpose of this study is to determine the optimum value and to find the optimum path of the palm oil-based bioenergy supply chain. The method used in the development of the model is the ant colony optimization method, namely the shortest path method. The data processed is the distance and time of supply. The optimal path search result is 0.035. So that this research becomes a reference in determining the optimal path. Downloads
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References
[1] Afzali, S., Mohamadi-Baghmolaei, M., & Zendehboudi, S. (2021). Application of gene expression programming (Gep) in modeling hydrocarbon recovery in wag injection process.Energies,14(21). https://doi.org/10.3390/en14217131
[2] Arkeman, Y., Rizkyanti, R. A., & Hambali, E. (2017). Determination of Indonesian palm-oil-based bioenergy sustainability indicators using fuzzy inference system. IOP Conference Series: Earth and Environmental Science, 65(1). https://doi.org/10.1088/1755-1315/65/1/012013 [3] Darwish, E., Wahed, M., & Salama, A. (2021). Solving the Shortest Path Problem by Fuzzy Ant Colony Optimization Algorithm. Alfarama Journal of Basic & AppliedSciences,0(0),0–0. https://doi.org/10.21608/ajbas.2021.91699.1063 [4] Kaniapan, S., Hassan, S., Ya, H., Nesan, K. P., & Azeem, M. (2021). The utilisation of palm oil and oil palm residues and the related challenges as a sustainable alternative in biofuel, bioenergy, and transportation sector: A review. Sustainability (Switzerland), 13(6). https://doi.org/10.3390/su13063110 [5] Utama, D., Djatna, T., Hambali, E., Marimin, M., & Kusdiana, D. (2011). Intelligent Decision Support Systems for Searching the Optimum Palm Oil Based Bio-Energy Supply Chain By Using Ant Colony Optimization Method. Jurnal Teknologi Industri Pertanian, 21(1), 50–62.http://journal.ipb.ac.id/index.php/jurnaltin/article/view/3668 [6] Debora Ertji Amelia Manuputty, Chriestie E. J. C. Montolalu, & Tohap Manurung, (2021).. Solving the Shortest Path Problem by Fuzzy Ant Colony OptimizationAlgorithmhttps://doi.org/10.21608/adjas.202191699106330 [7] Mochen Liao & Yuan Yao (2021). . Applications of artificial intelligence-based modeling for bioenergy systems: A review https://doi.org/10.1111/gcbb.128161 [8] Gustina, Dian and Syah Putra & Arman (2020) MetodeAnt Colony Pada Pencarian Jalur TercepatKetempat Wisata Terdekat. MetodeAnt Colony Pada Pencarian Jalur Tercepat Ketempat Wisata Terdekat (SINAPTIKA UMB2020), 12 (1). pp. 1-24. ISSN 2086-8251 [9] Maun Jamaludin, NIDN. 0420106601 (2022) The influence of supply chain management on competitive advantage and company performance. Uncertain Supply Chain Management, 9. pp. 696-704 [10] Lutfi Erik Prasetyo,dkk (2021) Penerapan Algoritma Ant Colony Optimization Menentukan Nilai Optimal Dalam Memilih Objek Wisata Berbasis Android Template_INFEB(Ind) (1).doc [11] Tyas, Y. S., & Prijodiprodjo, W. (2013). Aplikasi Pencarian Rute Terbaik dengan Metode Ant Colony Optimazation (ACO). IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 7(1), 55-64. [12] Misinem, m., kurniawan, t. B., astried, a., & widians, j. A. (2020). Model simulasi penyelesaian masalah perjalanan penjual menggunakan pendekatan kecerdasan buatan, optimisasi koloni semut. Jurnal bina komputer, 2(2),89-98. https://doi.org/10.33557/binakomputer.v2i2.974 [13] Haris, A., Juwita, T., Aziza, R. N., Sikumbang, H., & Siregar, R. R. A. (2021). Implementasi Ant Colony Optimization (ACO) pada Sistem Irigasi Lahan Tadah Hujan.KILAT,10(2),336-348. https://doi.org/10.33322/kilat.v10i2.1518 [14] Khairansyah, M. D., Ashari, M. L., & Mufidah, I. (2021). Penentuan Jalur Evakuasi Terpendek Pada Industri Plastik Menggunakan Ant Colony Optimization. Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of RoadSafety),8(1),53-61. https://doi.org/10.46447/ktj.v8i1.312 [15] Prasetyo, L. E., Istiadi, I., & Marisa, F. (2021). Sistem optimasi pendistribusian bahan makanan dan snack dengan algoritma Ant Colony Optimization (ACO). AITI, 18(1), 88-96. https://doi.org/10.24246/aiti.v18i1.88-96 [16] Peranginangin, J., Purba, R., & Halim, A. (2021). Analisis Perbandingan Algoritma ACO-TS dan ACO-SMARTER Dalam Menyelesaikan Traveling Salesman Problem. Jurnal media informatika budidarma, 5(4), 1698-1705.http://dx.doi.org/10.30865/mib.v5i4.3283 [17] Manuputty, D. E. A., Montolalu, C. E., & Manurung, T. (2021). Penentuan Jalur Terpendek Distribusi Air Mineral Menggunakan Ant Colony Optimization. d'CARTESIAN: Jurnal Matematika dan Aplikasi, 10(2), 76-82. https://doi.org/10.35799/dc.10.2.2021.34987 [18] Kaunang, T., & Hartomo, K. (2022). Pencarian Rute Optimal Wisata Alam Kota Tomohon Menggunakan Ant Colony Optimization (ACO). JOINTER: Journal of Informatics Engineering, 3(01), 30-33. https://doi.org/10.53682/jointer.v3i01.48 [19] Hasan, F., Suyono, H., & Lomi, A. (2022). Optimizing Maximum Power Point Tracking on Photovoltaic Arrays using Ant Colony Optimization and Particle Swarm Optimization Algorithms. JOURNAL OF SCIENCE AND APPLIED ENGINEERING, 5(1), 7-19. https://doi.org/10.31328/jsae.v5i1.3263 [20] Pratama, R. A. (2022). Perbandingan solusi cvrp pada distribusi buku aqila di surakarta menggunakan algoritme tabu search dan algoritme aco. Jurnal riset dan aplikasi matematika (jram), 6(1), 13-22. https://doi.org/10.26740/jram.v6n1.p13-22 |
Published
2022-12-31
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How to Cite
Maryani, R. (2022). Sistem Pendukung Keputusan Cerdas Menggunakan Metode Ant Colont Optimization (ACO) untuk Pencarian Jalur Optimum Rantai Pasok Bioenergi Berbasis Kelapa Sawit. Jurnal Informatika Ekonomi Bisnis, 4(4), 192-196. https://doi.org/10.37034/infeb.v4i4.168
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