STUDI LITERATUR: Analisis Distribusi Masalah Lokasi Fasilitas untuk Logistik Bantuan Kemanusiaan
Authors
Lana Syakina , Sri NurdiatiDOI:
10.29303/jpm.v16i2.2469Published:
2021-03-03Issue:
Vol. 16 No. 2 (2021): Maret 2021Keywords:
matematikaArticles
Downloads
How to Cite
Downloads
Abstract
Bencana adalah setiap peristiwa atau kejadian yang disebabkan oleh faktor alam dan/atau faktor non alam yang dapat mengakibatkan timbulnya kerusakan lingkungan, kerugian harta benda, gangguan ekologis, dan hilangnya jiwa manusia. Model pada masalah lokasi fasilitas yang terkait dengan model optimasi logistik merupakan pendekatan penting dalam manajemen bencana. Studi literatur ini bertujuan untuk menganalisis penerapan metode eksak dan metode heuristik tersebut dalam menentukan distribusi masalah lokasi fasilitas untuk logistik bantuan kemanusiaan. Metode yang dilakukan melalui penelusuran artikel pada situs Google Scholar, Science Direct, dan Informs Journal. Hasil penelurusan adalah mendapatkan 12 artikel yang memenuhi kriteria untuk dikaji. Penerapan untuk metode eksak dan metode heuristik dapat dilakukan secara terpisah maupun dikolaborasikan untuk mendapatkan solusi dari model yang sudah dibangun. Solusi yang diperoleh melalui metode eksak merupakan hasil optimal, namun untuk kasus dengan skala besar dan masalah yang rumit, metode heuristik dapat digunakan. Metode heuristik memungkinkan waktu penyelesaian solusi lebih cepat jika dibandingkan dengan metode eksak.
References
Carter, W. N. (2008). Disaster Management: A Disaster Managerââ¬â¢s Handbook. Mandaluyong City : Asian Development Bank.
Boonmee, C., Arimura, M., & Asada, T., (2017). Facility Location Optimization Model for Emergency Humanitarian Logistics. International Journal of Disaster Risk Reduction, 24. 485-498.
Sarker, R. A., & Newton, C. S. 2008. Optimization Modelling: A Practical Approach. Boca Raton : CRC Press Taylor & Francis Group.
Daud, M. S. M., Hussein, M. Z. S. H., Nasir, M. E., Kassim, R., Suliman, M. S., & Saludin, M. R. (2016). Humanitarian Logistics and Its Challenges: The Literature Review. International Journal of Supply Chain Management, 5(3). 107-110.
Sheppard, A., Tatham, P., Fisher, R., & Gapp, R. (2013). Humanitarian Logistics: Enhancing the Engagement of Local Populations. Journal of Humanitarian Logistics and Supply Chain Management, 3(1). 22-36.
Damanik, N. L., Dirhamsyah, M., & Fatimah, E. (2015). Model Distribusi Bantuan Logistik Kemanusiaan pada Saat Bencana Banjir dengan Memperhitungkan Data Iklim (Studi Kasus Bencana Banjir Bandang Kec. Tangse, Kab. Pidie, Prop. Aceh). Jurnal Ilmu Kebencanaan, 2(1). 35-43.
Kara, B. Y., & Savaser, S. 2017. Humanitarian Logistics, hlm. 263-303. Di dalam: INFORMS TutORials in Operations Research. Maryland : Institute for Operations Research and the Management Sciences (INFORMS).
Perwitasari, E. W. (2012). Penentuan Rute Pengambilan Sampah di Kota Merauke dengan Kombinasi Metode Eksak dan Metode Heuristik. Jurnal Ilmiah Mustek Anim Ha, 1(2). 106-110.
Winston, W.L. 2004. Operations Research: Applications and Algorithms. 4th ed., New York : Duxbury.
Olivia, A., Sekar, H., & Lusiani, M. (2020). Analisis Penempatan Regulator Sector Jaringan Gas Rumah Tangga berdasarkan Maximum Coverage Location Problem (Case Study: Jaringan Gas Rumah Tangga Kota Depok, Jawa Barat). Jurnal Logistik Indonesia, 5(1). 24-33.
Ariyana, N. (2012). Model Lokasi-Alokasi Bantuan Logistik Catastrophic Berbasis Masjid di Kota Padang. Jurnal Optimasi Sistem Industri, 11(2). 235-242.
Sugiarto, S., Widyadana, I. G. A., & Octavia, T. (2015). Model Matematis Penentuan Lokasi Potensial Pos Bantuan atau Depo Bencana Banjir di Kabupaten Gresik. Jurnal Titra, 3(2). 265-268.
Balcik, B., & Beamon, B. M. (2008). Facility Location in Humanitarian Relief. International Journal of Logistics: Research and Applications, 11(2). 101-121.
Boonmee, C., & Kasemset, C. (2020). The Multi-Objective Fuzzy Mathematical Programming Model for Humanitarian Relief Logistics. Industrial Engineering & Management Systems, 19(1). 197-210.
Duran, S., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-Positioning of Emergency Items for CARE International. Interfaces, 41(3). 223-237.
Kusumastuti, R. D., Wibowo, S. S., & Insanita, R. (2013). Modeling Facility Locations for Relief Logistics in Indonesia, hlm. 183-205. Di dalam: Zeimpekis, V. et al. (ed.). Humanitarian and Relief Logistics. New York : Springer.
Manopiniwes, W., Nagasawa, K., & Irohara, T. (2014). Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study. Industrial Engineering & Management Systems, 13(4). 398-407.
Hu, F., Yang, S., & Xu, W. (2014). A Non-Dominated Sorting Genetic Algorithm for The Location and Districting Planning of Earthquake Shelters. International Journal of Geographical Information Science, 28(7). 1482-1501.
Kongsomsaksakul, S., Yang, C., & Chen, A. (2005). Shelter Location-Allocation Model for Flood Evacuation Planning. Journal of the Eastern Asia Society for Transportation Studies, 6. 4237-4252.
Salman, F. S., & Yucel, E. (2014). Emergency Facility Location Under Random Network Damage: Insights from The Istanbul Case. Computers & Operations Research, 62(2015). 266-281.
Paul, J. A., & Hariharan, G. (2012). Location-Allocation Planning of Stockpiles for Effective Disaster Mitigation. Ann Oper Res, 196(1). 469-490.
Verma, A., & Gaukler, G. M. (2015). Pre-Positioning Disaster Response Facilities at Safe Locations: An Evaluation of Deterministic and Stochastic Modeling Approaches. Computers & Operations Research, 62. 197ââ¬â209.
Author Biographies
Lana Syakina, IPB University
Sri Nurdiati, IPB University
License
The following terms apply to authors who publish in this journal:
1. Authors retain copyright and grant the journal first publication rights, with the work simultaneously licensed under a Creative Commons Attribution License 4.0 International License (CC-BY License) that allows others to share the work with an acknowledgment of the work's authorship and first publication in this journal.
2. Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., posting it to an institutional repository or publishing it in a book), acknowledging its initial publication in this journal.
3. Before and during the submission process, authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website), as this can lead to productive exchanges as well as earlier and greater citation of published work (See The Effect of Open Access).
