The Correlation of Southern Oscillation Index (SOI) with the Rainfall at Rainy and Dry Season Peak in Kintamani-Bangli Region period 1986-2015
Abstract
A correlation study of the Southern Oscillation Index (SOI) on rainfall at the peak of the wet and dry season in the Kintamani-Bangli region has been carried out by taking SOI values and rainfall data for the period 1986-2015. The rainfall data used were recorded at 2 rain posts, namely Kembangsari and Kintamani. The research aimed to determine the relationship of fluctuations in the value of SOI with the intensity of rainfall, so that it can be used as a regional management plan when El Nino occurs. The method used in this study is correlation. The results obtained from the correlation that is the relationship between SOI value and rainfall in February were quite strong in the Kembangsari post with correlation coefficient of 0.409. Whereas for the Kintamani post the correlation obtained was weak with a correlation coefficient of 0.308. Then in August a weak correlation occurred in the Kembangsari post with a correlation coefficient of 0.2398 and was quite strong in the Kintamani post with a correlation coefficient of 0.4662. So that the influence of El Nino in the Kintamani area in February was more dominant in the Kembangsari post and in August at the Kintamani post.
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[2] A. Yanato, dan Rini. M. S., Analisis Kejadian El Nino dan Pengaruhnya Terhadap Intensitas Curah Hujan di Wilayah Jabodetabek Selama Periode Puncak Musim Hujan Tahun 2015/2016, Jurnal Sains dan Teknologi Modifikasi Cuaca, Vol. 17 No.2, 2016, pp. 70.
[3] Intergovernmental Panel on Climate Change (IPCC), Climate Change, 2001, Available From https://www.ipcc.ch/pdf/climate-changes_2001/synthesissyr/english/front.pdf., Diakses tanggal 19 Juli 2017.
[4] I.W.A. Yuda, dan R. Prasetia, Analisis Dampak El Nino dan La Nina Terhadap Anomali Curah Hujan Bulanan di Provinsi Bali Menggunakan Grafik Enso Impac, Prosiding Seminar Nasional dan Rapat Tahunan Bidang MIPA, FMIPA-IPB, Bogor, 2014, pp. 503-507.
[5] I. B. M. Astawa, Potensi Sumber Daya Alam Dan Pengelolaannya Untuk Mendukung Kehidupan Sosial Masyarakat Adat Wilayah Gunung Batur Bangli, Jurnal SOCIA, Vol. 11, No. 1 Mei, 2012, pp. 44-45.
[6] E. Aldrian, Dissertation: Simulation of Indonesian Rainfall With a Hierarchy of Climate Models., Max Planck-Institut fur Meteorologie, Jerman , 2003, pp. 13-15.
[7] B. H. K. Tjasyono, Lubis, R. A., Harijono, S. W. B., dan Juaeni, I., Dampak Variasi Temperatur Samudera Pasifik dan Hindia Ekuatorial terhadap Curah Hujan di Indonesia, Jurnal Sains dan Dirgantara, 2008, pp. 83-95.
[8] Abd. Rahman As-Syakur, Indentifikasi Hubungan Fluktuasi Nilai SOI Terhadap Curah Hujan Di Wilayah Batukaru Bedugul, Bali, Jurnal Bumi Lestari, Vol. 7 No.2 Agustus, 2007, pp. 124-128.
[9] C. D. Ahrens, Meteorology Today An Introduction to Weather, Climate, And The Environment, 8th ed., Thomson Brooks/Cole, USA, 2007, pp. 239-241.
[10] R. Pratama, Pola Curah Hujan Di Pulau Jawa Pasca Periode Normal, El Nino, dan La Nina, Skripsi Universitas Indonesia, Depok, 2011, pp. 34.
[11] -------------, Google Maps, Kecamatan Kintamani, 2017, Available from: https://www.google.co.id/maps/place/Kintamani,+Bangli+Regency,+Bali, diakses tanggal 19 Juli 2017.
[12] ------------,Bereau Of Meteorology, Southern Oscillation Index (SOI), 2017, Available from: http://www.bom.gov.au/climate/current/soihtm1.shtml, diakses tanggal 19 Juli 2017.
[13] Riduwan, Rumus dan Data Dalam Analisis Statistika, Penerbit Alfabeta, Bandung, 2015, pp. 21.
