Sistem Distribusi Logistik Dengan Pendekatan Sistem Dinamik Untuk Mitigasi Bencana Gunung Merapi
DOI:
https://doi.org/10.30587/matrik.v23i2.3885Keywords:
Distribusi Logistik, Sistem Dinamik, Efisiensi dan EfektivitasAbstract
Kegiatan distribusi logistik untuk korban bencana erupsi Gunung Merapi, terdapat beberapa permasalahan antara lain penumpukan barang bantuan di titik tertentu namun terjadi kekurangan pada titik lain atau sebaliknya bantuan yang diberikan terlalu banyak dan kurang bermanfaat. Permasalah tersebut disebabkan kurangnya informasi mengenai data korban bencana, data jenis bantuan yang diperlukan dan data bantuan yang tersedia. Penelitian ini bertujuan untuk mendiskripsikan sistem distribusi logistik, mengidentifikasi faktor-faktor yang mempengaruhi distribusi dan merancang sistem distribusi yang adil dan merata secara efektif dan efisien. Metode yang digunakan untuk menyelesaikan masalah tersebut adalah pendekatan sistem dinamik untuk menggambarkan model pendistribusian logistik pada pengungsian. Hasil penelitian menunjukkan adanya peningkatan distribusi logistik yang disebabkan oleh permintaan logistik, jumlah pengungsi, dan ketersedian barang. Faktor-faktor yang mempengaruhi distribusi logistik korban bencana erupsi Gunung Merapi di desa penyangga (sister village) adalah kurangnya komunikasi antar petugas posko pengungsian dengan posko induk penyedia bantuan atau BPBD, jumlah distribusi bantuan yang tidak sesuai dengan jumlah pengungsi yang ada, kurangnya pengawasan pendistribusian logistik ke pengungsian, ketidaksesuaian data pengungsi yang ada di posko pengungsi dengan jumlah pengungsi yang ada, ketepatan sasaran penerimaan bantuan logistik. Guna meningkatkan efisiensi dan efektivitas pendistribusian logistik yang tepat sasaran maka dirancang model dinamik sistem distribusi logistik yang dapat memberikan alternatif terbaik.
References
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[4] D. I. Rinawati, “Rancang Bangun Sistem Informasi Bantuan Logistik Bencana Studi Kasus Pada Bpbd Kabupaten Magelang,” J@ti Undip J. Tek. Ind., vol. 13, no. 1, p. 51, 2018, doi: 10.14710/jati.13.1.51-60.
[5] M. S. Najjar, L. Dahabiyeh, and M. Nawayseh, “Share if you care: The impact of information sharing and information quality on humanitarian supply chain performance - a social capital perspective,” Inf. Dev., vol. 35, no. 3, pp. 467–481, Jan. 2018, doi: 10.1177/0266666918755427.
[6] X. Guo and N. Kapucu, “Engaging Stakeholders for Collaborative Decision Making in Humanitarian Logistics Using System Dynamics,” J. Homel. Secur. Emerg. Manag., vol. 17, no. 1, 2020, doi: 10.1515/jhsem-2018-0061.
[7] J. A. Muir, M. R. Cope, L. R. Angeningsih, and J. E. Jackson, “To move home or move on? Investigating the impact of recovery aid on migration status as a potential tool for disaster risk reduction in the aftermath of volcanic eruptions in Merapi, Indonesia,” Int. J. Disaster Risk Reduct., vol. 46, no. July 2019, p. 101478, 2020, doi: 10.1016/j.ijdrr.2020.101478.
[8] R. A. Hadiguna and A. Wibowo, “Simulasi Sistim Logistik Bantuan Bencana Gempa–Tsunami: Studi Kasus di Kota Padang,” J. Tek. Ind., vol. 13, no. 2, pp. 116–125, 2012, doi: 10.22219/jtiumm.vol13.no2.116-125.
[9] M. A. Abdullah, H. Hishamuddin, and N. Bazin, “A System Dynamics Approach to Investigate the Effects of Disruption on the Supply Chain with A Mitigation Strategy,” IOP Conf. Ser. Mater. Sci. Eng., vol. 697, no. 1, 2019, doi: 10.1088/1757-899X/697/1/012024.
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[12] A. K. Mahmud and W. A. B. N. Siddiq, “Geo Image ( Spatial-Ecological-Regional ) Aplikasi Webgis dalam Mendukung Program Sister Village Sebagai Upaya,” Geo Image, vol. 10, no. 1, pp. 46–53, 2021.
[13] E. O. Gunawan and D. H. Setiabudi, “Perangkat Lunak Logistik Kemanusiaan untuk Memantau Distribusi Bantuan Korban Bencana Alam,” J. Infra, vol. 8, no. 10, pp. 1–5, 2020.
[14] N. Loree and F. Aros-Vera, “Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics,” Transp. Res. Part E Logist. Transp. Rev., vol. 116, no. April, pp. 1–24, 2018, doi: 10.1016/j.tre.2018.05.003.
[15] S. Hidayat, E. Suryani, and R. A. Hendrawan, “Sistem Dinamik Spasial Untuk Meningkatkan Efektifitas Dan Efisiensi Logistik Pada Rantai Pasok Pangan,” INTEGER J. Inf. Technol., vol. 1, no. 2, pp. 43–52, 2017, doi: 10.31284/j.integer.2016.v1i2.64.
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[18] A. Andriyanto and A. Yanuar, “Model Distribusi Industri Pangan di Jawa Barat dengan Menggunakan Pendekatan Causal Loop Sistem Dinamik,” Competitive, vol. 15, no. 1, pp. 12–19, 2020, doi: 10.36618/competitive.v15i1.627.
[19] T. Kristanto, E. C. Muliawati, R. Arief, and S. Hidayat, “Pengembangan Sistem Dinamik dalam Pengelolaan Manajemen Distribusi Logistik Terhadap Perkembangan Teknologi Informasi pada PT Sunan Inti Perkasa,” J. Inf., vol. 3, no. 1, pp. 26–31, 2018, doi: 10.25139/ojsinf.v3i1.475.
[20] R.- Nasirly, “Analisis Dinamika Evakuasi pada Erupsi Merapi dengan Pendekatan System Dynamics,” J. Tek. Ind. J. Has. Penelit. dan Karya Ilm. dalam Bid. Tek. Ind., vol. 4, no. 1, p. 29, 2018, doi: 10.24014/jti.v4i1.6034.
[21] Pasha, Donaya, and E. Suryani, “Pengembangan Model Rantai Pasok Minyak Goreng Untuk Meningkatan Produktivitas Menggunakan Sistem Dinamik pada PT XYZ,” J. Tek. Inform. dan Sist. Inf., vol. 3, no. 2, pp. 116–128, 2017.
[22] S. P. Shepherd, “A review of system dynamics models applied in transportation,” Transp. B, vol. 2, no. 2, pp. 83–105, 2014, doi: 10.1080/21680566.2014.916236.
[23] C. Neuwirth, “System dynamics simulations for data-intensive applications,” Environ. Model. Softw., vol. 96, pp. 140–145, 2017, doi: 10.1016/j.envsoft.2017.06.017.
[24] G. S. Zhang, X. Y. Shen, J. Hua, J. W. Zhao, and H. X. Liu, “System Dynamics Modelling for Dynamic Emergency Response to Accidents Involving Transport of Dangerous Goods by Road,” J. Adv. Transp., vol. 2021, 2021, doi: 10.1155/2021/2474784.
[25] T. Kundu, J. B. Sheu, and H. T. Kuo, “Emergency logistics management—Review and propositions for future research,” Transp. Res. Part E Logist. Transp. Rev., vol. 164, no. June, p. 102789, 2022, doi: 10.1016/j.tre.2022.102789.
[26] Y. Qiu, X. Shi, and C. Shi, “A system dynamics model for simulating the logistics demand dynamics of metropolitans: A case study of Beijing, China,” J. Ind. Eng. Manag., vol. 8, no. 3, pp. 783–803, 2015, doi: 10.3926/jiem.1325.
[27] M. Satori, P. Renosori, and H. Fauzan, “Dynamic modeling of an inventory system to minimize of inventory cost,” IOP Conf. Ser. Mater. Sci. Eng., vol. 830, no. 3, 2020, doi: 10.1088/1757-899X/830/3/032094.
[28] B. Naimi and A. Voinov, “StellaR: A software to translate Stella models into R open-source environment,” Environ. Model. Softw., vol. 38, pp. 117–118, 2012, doi: 10.1016/j.envsoft.2012.05.012.
[29] H. Kaid, A. Dabwan, and A. Al-Ahmari, “Modeling and simulation of queuing systems using stochastic Petri net and Arena software: A case study,” Proc. Int. Conf. Ind. Eng. Oper. Manag., vol. 2018-March, pp. 1303–1315, 2018.
[30] M. Kamrani, S. M. Hashemi Esmaeil Abadi, and S. Rahimpour Golroudbary, “Traffic simulation of two adjacent unsignalized T-junctions during rush hours using Arena software,” Simul. Model. Pract. Theory, vol. 49, pp. 167–179, 2014, doi: 10.1016/j.simpat.2014.09.006.
[31] V. Mishra and M. G. Sharma, “Understanding Humanitarian Supply Chain Through Causal Modelling,” South Asian J. Bus. Manag. Cases, vol. 9, no. 3, pp. 317–329, 2020, doi: 10.1177/2277977920958084.
[32] D. Cooke, T. Rohleder, and P. Rogers, “A dynamic model of the systemic causes for patient treatment delays in emergency departments,” J. Model. Manag., vol. 5, pp. 287–301, Nov. 2010, doi: 10.1108/17465661011092650.
[33] G. Y. Sundara and P. K. Ariningsih, “System Dynamic Approach to Improve Emergency Response in Humanitarian Logistics in Indonesia,” J. Tek. Ind., vol. 22, no. 2, pp. 111–122, 2020, doi: 10.9744/jti.22.2.111-122.
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Published
2023-03-24
How to Cite
Widodo, E. M., Rifa’i, A., & Fuadyani, R. (2023). Sistem Distribusi Logistik Dengan Pendekatan Sistem Dinamik Untuk Mitigasi Bencana Gunung Merapi. Matrik : Jurnal Manajemen Dan Teknik Industri Produksi, 23(2), 99–108. https://doi.org/10.30587/matrik.v23i2.3885
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