IDEAS home Printed from https://ideas.repec.org/a/ibn/assjnl/v13y2017i1p161.html
   My bibliography  Save this article

Natural Disaster Mitigation through Integrated Social Learning Science in Primary School

Author

Listed:
  • Setyo Atmojo
  • Deri Anggraini
  • Taufik Muhtarom

Abstract

This research aims to develop a learning model in disaster volcanic eruptions, floods and earthquakes integrated in social science subjects and in elementary school level. This learning model includes five features, namely- (1) the model syllabus and lesson plans, (2) the theme and subthemes, (3) teaching methods, (4) materials / textbooks and CDs about the disaster of nature, and (5) techniques and types assessment of student learning outcomes. Improving the knowledge and skills of teachers and students about the concepts, principles and practice self-rescue if the occurrence of natural disasters. This study is a research and development (R & D) in elementary school. This type of data consists of qualitative and quantitative data. Exploratory data analysis results based disaster mitigation model of learning is conducted qualitatively by descriptive percentage. Analysis of empirical test data using descriptive statistics percentages. Data were analyzed with the results of the implementation of parametric statistical tests, descriptive of the samples using a t-test. Research shows that learning device development results declared effective because it proved able to increase disaster mitigation skills of students, student learning, and the comfortable to be applied at primary school level.

Suggested Citation

  • Setyo Atmojo & Deri Anggraini & Taufik Muhtarom, 2017. "Natural Disaster Mitigation through Integrated Social Learning Science in Primary School," Asian Social Science, Canadian Center of Science and Education, vol. 13(1), pages 161-161, January.
    • Handle: RePEc:ibn:assjnl:v:13:y:2017:i:1:p:161
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ass/article/download/64589/35211
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ass/article/view/64589
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dufour, Émilie & Laporte, Gilbert & Paquette, Julie & Rancourt, Marie–Ève, 2018. "Logistics service network design for humanitarian response in East Africa," Omega, Elsevier, vol. 74(C), pages 1-14.
    2. Jingxian Chen & Liang Liang & Dong-Qing Yao, 2017. "Pre-positioning of relief inventories for non-profit organizations: a newsvendor approach," Annals of Operations Research, Springer, vol. 259(1), pages 35-63, December.
    3. Vasileios Kosmas & Michele Acciaro & Maria Besiou, 2022. "Saving migrants’ lives at sea: Improving search and rescue operations," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1872-1889, April.
    4. Shuhei Nomura & Ryoma Kayano & Shinichi Egawa & Nahoko Harada & Yuichi Koido, 2021. "Expected Scopes of Health Emergency and Disaster Risk Management (Health EDRM): Report on the Expert Workshop at the Annual Conference for the Japanese Association for Disaster Medicine 2020," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
    5. Bahram Alidaee & Haibo Wang & Jun Huang & Lutfu S. Sua, 2023. "Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure," Energies, MDPI, vol. 17(1), pages 1-13, December.
    6. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    7. Dilsu Binnaz Ozkapici & Mustafa Alp Ertem & Haluk Aygüneş, 2016. "Intermodal humanitarian logistics model based on maritime transportation in Istanbul," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 345-364, August.
    8. Lundberg, Jonas & Johansson, Björn JE, 2015. "Systemic resilience model," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 22-32.
    9. Daniel Seaberg & Laura Devine & Jun Zhuang, 2017. "A review of game theory applications in natural disaster management research," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1461-1483, December.
    10. Comrie, E.L. & Burns, C. & Coulson, A.B. & Quigley, J. & Quigley, K.F., 2019. "Rationalising the use of Twitter by official organisations during risk events: Operationalising the Social Amplification of Risk Framework through causal loop diagrams," European Journal of Operational Research, Elsevier, vol. 272(2), pages 792-801.
    11. Stienen, Valentijn & Wagenaar, J.C. & den Hertog, Dick & Fleuren, H.A., 2020. "Optimal Depot Locations for Humanitarian Logistics Service Providers using Robust Optimization," Other publications TiSEM bc3f5e24-cc4a-4a34-9695-0, Tilburg University, School of Economics and Management.
    12. Wapee Manopiniwes & Takashi Irohara, 2017. "Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 979-996, February.
    13. Dennis Fok & André Stel & Andrew Burke & Roy Thurik, 2019. "How entry crowds and grows markets: the gradual disaster management view of market dynamics in the retail industry," Annals of Operations Research, Springer, vol. 283(1), pages 1111-1138, December.
    14. Elfe Buluc & Meltem Peker & Bahar Y. Kara & Manoj Dora, 2022. "Covering vehicle routing problem: application for mobile child friendly spaces for refugees," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 461-484, June.
    15. Araya-Córdova, P.J. & Vásquez, Óscar C., 2018. "The disaster emergency unit scheduling problem to control wildfires," International Journal of Production Economics, Elsevier, vol. 200(C), pages 311-317.
    16. Lu, Chung-Cheng & Ying, Kuo-Ching & Chen, Hui-Ju, 2016. "Real-time relief distribution in the aftermath of disasters – A rolling horizon approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 1-20.
    17. Holguín-Veras, José & Taniguchi, Eiichi & Jaller, Miguel & Aros-Vera, Felipe & Ferreira, Frederico & Thompson, Russell G., 2014. "The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 86-104.
    18. Melissa Gama & Bruno Filipe Santos & Maria Paola Scaparra, 2016. "A multi-period shelter location-allocation model with evacuation orders for flood disasters," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 299-323, September.
    19. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    20. David A. Flores-Garza & M. Angélica Salazar-Aguilar & Sandra Ulrich Ngueveu & Gilbert Laporte, 2017. "The multi-vehicle cumulative covering tour problem," Annals of Operations Research, Springer, vol. 258(2), pages 761-780, November.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:assjnl:v:13:y:2017:i:1:p:161. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.