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Abstract
Indonesia is geographically a country with potential natural disasters which is high for various types of disasters such as floods, earthquakes, landslides, drought and volcanoes. A regional disaster risk reduction can be done with increase the capacity of government and communities in disaster mitigation. On this paper discusses the formulation of community capacity models in the face of disaster using ordinal logistic regression analysis. The regression model was prepared using three dependent variables are (i) general knowledge of risk reduction natural disaster symbolized by Y1 (ii) general knowledge possessed about how to save the family when a natural disaster is symbolized by Y2 (iii) efforts to increase citizens' awareness of natural disasters by related parties symbolized by Y3. The dependent variables Y1 and Y2 are influenced by the Knowledge Factor and Factor Plan of Action. While the dependent variable Y3 is influenced by Factor leadership and programs, and Facility Factors.
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References
- Agresti A., 2002, Categorical Data Analysis, John Wiley and Son
- Ionescu, C., Klein, R.J.T., Hinkel, J., Kumar, K.S.K. dan Klein, R. (2007) “Towards a formal framework of vulnerability to climate change†Environmental Modeling and Assessment.
- Iglesias A., Mougou R. danMoneo M. (2007b) â€Adaptation of Mediterranean agriculture to climate changeâ€, Key vulnerable regions and climate change, European Climate Forum, Germany.
- Nugraha J., Nugraheni F., Kurniawan IN, (2015), “Indikator Kapasitas Masyarakat Dan Kesiap-Siagaan Bencanaâ€, Prosiding Konferensi Nasional II Forum WahanaTeknologi di Daerah Istimewa Yogyakarta
- PeraturanKepala BNPB Nomor 03 Tahun 2012 tentang panduan penilaian kapasitas daerah dalam penanggulangan bencana
- Peraturan BNPB Nomor 4 Tahun 2008 tentang pedoman penyusunan rencana penanggulangan bencana.
- Peraturan Presiden Nomor 8 Tahun 2008 tentang Badan Nasional Penanggulangan Bencana
- Undang-UndangNomor 24 Tahun 2007 Tentang Penanggulangan Bencana
- Yohe, G., Malone, E., Brenkert, A., Schlesinger, M., Meij, H. dan Xing, X., (2006),“Global Distributions of Vulnerability to Climate Change†Integrated Assessment Journal, 6 (3): 35-44.
- Yohe, G. danTol, R.S.J. (2002), “Indicators for social and economic coping capacity: Moving toward a working definition of adaptive capacityâ€, Global Environmental Change, 12: 25-40.
- Yuda, (2013), “Mitigasi dan Adaptasi Perubahan Iklim oleh Masyarakat dalam Ketersediaan Air Minum, Laporan Penelitian, Dinas Pekerjaan Umum.
References
Agresti A., 2002, Categorical Data Analysis, John Wiley and Son
Ionescu, C., Klein, R.J.T., Hinkel, J., Kumar, K.S.K. dan Klein, R. (2007) “Towards a formal framework of vulnerability to climate change†Environmental Modeling and Assessment.
Iglesias A., Mougou R. danMoneo M. (2007b) â€Adaptation of Mediterranean agriculture to climate changeâ€, Key vulnerable regions and climate change, European Climate Forum, Germany.
Nugraha J., Nugraheni F., Kurniawan IN, (2015), “Indikator Kapasitas Masyarakat Dan Kesiap-Siagaan Bencanaâ€, Prosiding Konferensi Nasional II Forum WahanaTeknologi di Daerah Istimewa Yogyakarta
PeraturanKepala BNPB Nomor 03 Tahun 2012 tentang panduan penilaian kapasitas daerah dalam penanggulangan bencana
Peraturan BNPB Nomor 4 Tahun 2008 tentang pedoman penyusunan rencana penanggulangan bencana.
Peraturan Presiden Nomor 8 Tahun 2008 tentang Badan Nasional Penanggulangan Bencana
Undang-UndangNomor 24 Tahun 2007 Tentang Penanggulangan Bencana
Yohe, G., Malone, E., Brenkert, A., Schlesinger, M., Meij, H. dan Xing, X., (2006),“Global Distributions of Vulnerability to Climate Change†Integrated Assessment Journal, 6 (3): 35-44.
Yohe, G. danTol, R.S.J. (2002), “Indicators for social and economic coping capacity: Moving toward a working definition of adaptive capacityâ€, Global Environmental Change, 12: 25-40.
Yuda, (2013), “Mitigasi dan Adaptasi Perubahan Iklim oleh Masyarakat dalam Ketersediaan Air Minum, Laporan Penelitian, Dinas Pekerjaan Umum.