Phuspa, Sisca Mayang and Muriyatmoko, Dihin (2018) Measurement Accuracy of Paimin Formula to Landslide Prediction in Ponorogo East Java. In: nternational Conference on the Role of AfroAsian Universities in Building Civilizations, 2223 July 2018, Ponorogo, Indonesia.
Text (Measurement Accuracy of Paimin Formula to Landslide Prediction in Ponorogo East Java)
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Abstract
Since 2012 to 2017, in Ponorogo East Java, Indonesia, suffered 53 times the occurrence of landslides and caused 7 people died, 23 missing, 1 injured and 996 people evacuated. There are several methods to know the parameters of landslides vulnerability areas, one of them is the Paimin formula. The purpose of this research is applied Paimin formula to predict landslides was occurred in Ponorogo from 2012 to 2017 and measuring the accuracy of Paimin formula using Linear Regression. The prediction result of Paimin formula proves that Ponorogo has an average of landslides vulnerability area with five categories: very low 0.5912%, low 52.4465%, medium 46.0119%, high 0.9503%, and very high 0.0002%, while the average occurrence of landslides per year is 8.83 times with the percentage of landslides vulnerability areas of 16.4881 %. The accuracy of Paimin formula using linear regression resulted in value of Multiple R = 70.70%, it is including a high correlation and value of R Square = 0.4999, indicates that the parameter and or percentage was used by Paimin formula has accuracy 49.99%, while 50.01% is influenced by other percentage and or parameters. The Paimin formula is ably applied to predict for possible landslides occurrence elsewhere and the prediction of landslide not only used linear regression but also for others algorithms.
Item Type:  Conference or Workshop Item (Paper) 

Uncontrolled Keywords:  Paimin formula, linear regression, Ponorogo, landslide, prediction 
Subjects:  Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software 
Divisions:  Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science 
Depositing User:  Users 14 not found. 
Date Deposited:  22 Mar 2020 02:44 
Last Modified:  22 Mar 2020 05:57 
URI:  http://repo.unida.gontor.ac.id/id/eprint/169 
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