Rainfall event is a stochastic process, so to explain and analyze this processes the probability theory and frequency analysisare used. There are four types of probability distributions.They are normal, log normal, log Pearson III and Gumbel. To find the best probabilities distribution, it will used goodness of fit test. The tests consist of chi-square and smirnov-kolmogorov. Results of the chi-square test for normal distribution, log normal and log Pearson III was 0.200, while for the Gumbel distribution was 2.333. Results of Smirnov Kolmogorov test for normal distribution D = 0.1554, log-normal distribution D = 0.1103, log Pearson III distribution D = 0.1177 and Gumbel distribution D = 0.095. All of the distribution can be accepted with a confidence level of 95%, but the best distribution is log normal distribution.Kejadian hujan merupakan proses stokastik, sehingga untuk keperluan analisa dan menjelaskan proses stokastik tersebut digunakan teori probabilitas dan analisa frekuensi. Terdapat empat jenis distribusi probabilitas yaitu distribusi normal, log normal, log pearson III dan gumbel. Untuk mencari distribusi probabilitas terbaik maka akan digunakan pengujian metode goodness of fit test. Pengujian tersebut meliputi uji chi-kuadrat dan uji smirnov kolmogorov. Hasil pengujian chi kuadrat untuk distribusi normal, log normal dan log pearson III adalah 0.200, sedangkan untuk distribusi gumbel 2.333. Hasil pengujian smirnov kolmogorov untuk distribusi normal dengan nilai D = 0.1554, distribusi log normal dengan nilai D = 0.1103, distribusi log pearson III dengan nilai D = 0.1177 dan distribusi gumbel dengan nilai D = 0.095. Seluruh distribusi dapat diterima dengan tingkat kepercayaan 95%, tetapi distribusi terbaik adalah distribusi log normal.
Watershed (DAS) at the peak of Merapi is very interesting to examine in case of the relation with debris flow due to vomit material from Mount Merapi. In this article reveals the pattern of rainfall distribution, the difference in precipitation every month, rainfall for the period of 5 years, 10 years, 25 years, and 50 years in the area of Merapi and its effect on the behavior of a watershed in the Merapi area. In this study, the rainfall data validity test was conducted by RAPS (rescaled Adjusted Partial Sums). Analysis of the region rain is calculated using arithmetic method or average Algebra and Thiessen Polygon. While Gumbel Distribution, Normal Distribution, Log-Normal Distribution and Distribution Log-Pearson III was used to analyze the pattern of rainfall distribution. Furthermore, to determine the appropriate distribution patterns were analyzed using the chi-squared test and test-Kolmogorof Smirnov. Calculate the intensity of rainfall at a specific time duration using the formula Mononobe.Daerah Aliran Sungai (DAS) yang berada di puncak merapi sangat menarik untuk diteliti mengenai keterkaitannya dengan fenomena debris flow material akibat muntahan dari gunung Merapi. Pada artikel ini mengungkapkan mengenai pola distribusi curah hujan, perbedaan curah hujan setiap bulan, curah hujan untuk periode ulang 5 tahunan, 10 tahunan, 25 tahunan, dan 50 tahunan di Area Merapi dan pengaruhya terhadap perilaku DAS di area Merapi. Dalam penelitian ini uji kevalidan data hujan dilakukan dengan metode RAPS (Rescaled Adjusted Partial Sums). Analisis hujan wilayah dihitung menggunakan Metode Aritmatika atau Rata-rata Aljabar dan Poligon Thiessen. Sedangkan Distribusi Gumbel, Distribusi Normal, Distribusi Log-Normal, dan Distribusi Log-Pearson III digunakan untuk menganalisis pola distribusi curah hujan. Selanjutnya untuk mengetahui pola distribusi yang sesuai dianalisa menggunakan Uji Chi Kuadrat dan Uji Smirnov-Kolmogorof. Menghitung intensitas hujan pada durasi waktu tertentu menggunakan rumus Mononobe.
In the last five years, landslide occurred many times in this area. The worst landslide was in 2014, which destroyed many houses and infrastructure such as road, water supply utilities and electricity. This study proposed an identification of landslide method by using of geo electricity as subsurface investigation of landslide. This study aims to identify the type of landslide and slip surface potential by using emergence of 2D spatial imaging. The application of geophysical has not been used as a result of landslide identification. The well-known argument state that geophysical is the only way to make images on the type and rock by using resistivity. The geological and soil physical properties required by engineers to analyse landslide potential are not well presented. As a consequence, the solution of soil reinforcement on landslide prone area to minimize the risk is presented as an engineering judgment of problem solving. Therefore, this paper discusses about soil properties and imaging to identify the area affected by future landslide. By using a multi-electrode electrical array, the 2D geophysical imaging was used to investigate the complex structure of soil stratigraphy and geological properties. The results showed that the area of the study was shown as a stable area with andesite intrusion. In addition, some areas were suspected as landslide prone area which was indicated resources by saturated clay of soil beneath.
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