PERMODELAN PENGETAHUAN KESIAPAN PENANGANAN BENCANA DI RUMAH SAKIT
Abstract
Bencana alam adalah peristiwa yang umumnya membawa dampak negatif. Indonesia adalah salah satu negara rawan bencana. Rumah sakit merupakan tempat rujukan pertama saat korban bencana membutuhkan perawatan. Pada dasarnya, berbagai studi yang menghasilkan pengetahuan sudah cukup banyak tersedia. Namun untuk penggunaannya pada bencana alam belum dikelola dan diterapkan dengan baik. Berdasarkan hal tersebut maka kami akan membangun medel pengetahuan kesiapan penanganan bencana di rumah sakit. Penelitian ini mengembangkan sebuah model pengetahuan berbasis ontologi untuk kesiapan rumah sakit pada penanganan bencana berdasarkan konsep tenaga kesehatan, institusi terkait, rencana darurat, dan alat. Proses permodelan ontologi pada penelitian ini terdiri dari tiga fase yaitu Konseptualisasi, Implemetasi dan Evaluasi. Pembangunan ontologi didasarkan dari hasil kuisioner yang telah diisi oleh pengurus TIM Bencana dari tiga rumah sakit di Jawa Tengah. Hasil yang didapatkan dari pengukuran ontologi yang dibuat untuk Relationship Richness sebesar 0.68, Inheritance Richness sebesar 0.18, dan Attribute Richness sebesar 0.04. Sedangkan hasil pengujian query yang dilakukan menggunakan DL Query Panel adalah sistem dengan kemapuan memberi sebuah jawaban dari gabungan ekspresi Class, object property untuk mendapatkan instancedari data Individual.
Keywords
Full Text:
PDF (Indonesian)References
Q. Chen, Y. He, Q. Su, and T. He, “Building A Natural Disaster Knowledge Base Expert System based on the Distributed and Incremental Crawling Technology,” IOP Conf. Ser. Earth Environ. Sci., vol. 435, no. 1, 2020, doi: 10.1088/1755-1315/435/1/012024.
C. Griffin and K. Barney, “Local disaster knowledge: Towards a plural understanding of volcanic disasters in Central Java’s highlands, Indonesia,” Geogr. J., vol. 187, no. 1, pp. 2–15, 2021, doi: 10.1111/geoj.12364.
A. H. Tantri and N. A. Rakhmawati, “Designing a natural disaster ontology for Indonesia,” Proc. 2019 Int. Conf. Inf. Commun. Technol. Syst. ICTS 2019, pp. 130–134, 2019, doi: 10.1109/ICTS.2019.8850979.
N. Stojanovic and A. Artikis, “On complex event processing for real-time situational awareness,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 6826 LNCS, pp. 114–121, 2011, doi: 10.1007/978-3-642-22546-8_10.
E. Asimakopoulou and N. Bessis, “Advanced ICTs for disaster management and threat detection: Collaborative and distributed frameworks,” Adv. ICTs Disaster Manag. Threat Detect. Collab. Distrib. Fram., pp. 1–344, 2010, doi: 10.4018/978-1-61520-987-3.
A. Scherp and T. Franz, “Designing Core Ontologies Carsten Saathoff Arbeitsberichte aus dem Fachbereich Informatik,” no. 5, 2011.
J. L. R. Moreira, L. Ferreira Pires, M. Van Sinderen, and P. D. Costa, “Towards ontology-driven situation-aware disaster management,” Appl. Ontol., vol. 10, no. 3–4, pp. 339–353, 2015, doi: 10.3233/AO-150155.
E. Yu, G. Dobbie, M. Jarke, and S. Purao, “Conceptual Modeling: 33rd International Conference, ER 2014 Atlanta, GA, USA, October 27-29, 2014 Proceedings,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8824, no. October 2014, 2014, doi: 10.1007/978-3-319-12206-9.
S. Alter, “Work system theory: A bridge between business and IT views of systems,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9097, no. April, pp. 520–521, 2015, doi: 10.1007/978-3-319-19069-3.
A. Irawan and I. Pendahuluan, “Pengembangan Portal Berita,” vol. 1, no. September, pp. 1–4, 2014.
J. Moreira, L. F. Pires, M. Van Sinderen, and P. D. Costa, “Developing Situation-Aware Applications for Disaster Management with a Distributed Rule-Based platform,” no. i, 2015.
M. Manoni, C. Di Lorenzo, M. Ottoboni, M. Tretola, and L. Pinotti, “Comparative proteomics of milk fat globule membrane (MFGM) proteome across species and lactation stages and the potentials of mfgm fractions in infant formula preparation,” Foods, vol. 9, no. 9, 2020, doi: 10.3390/foods9091251.
D. E. Cahyani, A. Prabanuadhi, R. I. Irfan, and L. A. Febrianto, “Ontology model for dietary of children with autism spectrum disorders,” J. Telecommun. Electron. Comput. Eng., vol. 10, no. 2–4, pp. 129–132, 2018.
E. Kontopoulos et al., “Applying Semantic Web Technologies for Decision Support in Climate-Related Crisis Management,” 2nd Int. Conf. Citiz. Obs. Nat. hazards Water Manag. (COWM 2018), no. December, 2018, [Online]. Available: https://zenodo.org/record/1297471#.W_0NITgzaUk.
N. Palazzetti, “Lisa Giombini, Musical Ontology: A Guide for the Perplexed,” Transposition, no. 7, pp. 0–5, 2018, doi: 10.4000/transposition.2369.
C. Kumar Deb, S. Kumar Karn, M. Das, and S. Marwaha, “Microbial Taxonomy Ontology for Agriculturally Important Microorganisms (AMO) Coupled with Sequence Alignment Reinforcement Options,” Int. J. Curr. Microbiol. Appl. Sci., vol. 7, no. 04, pp. 3154–3166, 2018, doi: 10.20546/ijcmas.2018.704.358.
A. Ahmad, R. Othman, M. Fauzan, and Q. M. Ilyas, “A semantic ontology for disaster trail management system,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 10, pp. 77–90, 2019, doi: 10.14569/ijacsa.2019.0101012.
N. F. Noy and D. L. McGuinness, “Ontology Development 101: A Guide to Creating Your First Ontology,” Stanford Knowl. Syst. Lab., no. January 2001, p. 25, 2001, doi: 10.1016/j.artmed.2004.01.014.
W. N. Naser, P. L. Ingrassia, S. Aladhrae, and W. A. Abdulraheem, “A Study of Hospital Disaster Preparedness in South Yemen,” Prehosp. Disaster Med., vol. 33, no. 2, pp. 133–138, 2018, doi: 10.1017/S1049023X18000158.
N. A. Bajow and S. M. Alkhalil, “Evaluation and Analysis of Hospital Disaster Preparedness in Jeddah,” Health (Irvine. Calif)., vol. 06, no. 19, pp. 2668–2687, 2014, doi: 10.4236/health.2014.619306.
A. Ncube and G. N. . Chimenya, “Original contribution Hospital disaster emergency preparedness : A study of Onandjokwe Lutheran Hospital, Northen Namibia,” African Saf. Promot., vol. 14, no. 2, pp. 1–17, 2016.
M. Mojtahedi, R. Y. Sunindijo, F. Lestari, S. Suparni, and O. Wijaya, “Developing hospital emergency and disaster management index using topsis method,” Sustain., vol. 13, no. 9, 2021, doi: 10.3390/su13095213.
B. P. Geniosa and Q. Aini, “Hospital Preparedness Level and Policy Implementation Analysis of Hospital Disaster Plan in RSUD Kota Yogyakarta,” J. Indones. Heal. Policy Adm., vol. 5, no. 3, pp. 102–106, 2020, doi: 10.7454/ihpa.v5i3.3378.
S. Tartir, I. B. Arpinar, M. Moore, A. P. Sheth, and B. Aleman-meza, “OntoQA: Metric-based ontology quality analysis,” IEEE ICDM 2005 Work. Knowl. Acquis. from Distrib. Auton. Semant. Heterog. Data Knowl. Sources, no. June 2014, 2005, [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.2087.
World Health Organization Western Pacific Region (WPRO), “Field manual for capacity assessment of health facilities in responding to emergencies,” 2006.
L. E. Felland, A. Katz, A. Liebhaber, and G. R. Cohen, “Developing health system surge capacity: community efforts in jeopardy.,” Res. briefs Cent. Stud. Heal. Syst. Chang., no. 5, pp. 1–8, 2008.
I. Care, “New Hampshire Crisis Standards of Care Plan,” pp. 1–39, 2018.
U. S. Utara, “i Universitas Sumatera Utara,” 2014.
A. Cristea and N. D. Schulz, “Covariance structure analysis of health-related indices in elderly people at home with a focus on subjective health sense,” Rev. Bras. Ergon., vol. 9, no. August, p. 10, 2016, [Online]. Available: https://www.infodesign.org.br/infodesign/article/view/355%0Ahttp://www.abergo.org.br/revista/index.php/ae/article/view/731%0Ahttp://www.abergo.org.br/revista/index.php/ae/article/view/269%0Ahttp://www.abergo.org.br/revista/index.php/ae/article/view/106.
DOI: http://dx.doi.org/10.21927/ijubi.v4i2.1934
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Indonesian Journal of Business Intelligence (IJUBI)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
IJUBI by https://ejournal.almaata.ac.id/index.php/IJUBI is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
Indonesian Journal of Business Intelligence (IJUBI)
Department of Information System
Alma Ata University
Email: ijubi@almaata.ac.id