Page - 1218 - in Book of Full Papers - Symposium Hydro Engineering

The number of LoL predictions of the original Indonesian formula, compared with the calculation formula of De Kay (2003) commonly used in the world, is presented as follows: Fig 6 . Comparison of LoL Indonesia vs De Kay - Mc. Clelland for 8 Dams in Indonesia Indeed there is a considerable difference in the number of LoL from the comparison results from the above table but at least a description of the predicted number of LoL already exists. With such measurable amounts at least if the commitment to take anticipatory action against the dam damage will be more mapped if it will proceed with the amount of costs that must be backed up later by the government and related parties. As an illustration, based on the dam risk assessment at year 2015, Cacaban Dam is categorized as high risk with point 55 and is in the interval 46 to 75. If efforts to reduce the amount of LoL have been well accommodated then no need to worry again to reduce its risk to 43 because it is reduced by 12 points into interval 16 to 45 so it can fit in Moderate category. 4. SUMMARY Although the prediction of the LoL amount, has the smallest weight but the prediction of the amount of LoL is considered to provide a new argument for efforts to reduce the level of security risks of dams in Indonesia. Dams that with the downstream conditions of densely settled values of extreme or high conditions can be lowered risk level if the downstream preparedness of the disaster is considered good. One of the assessment factors is if it has been able to apply well to the risk reduction effort of LoL with short term anticipation (evacuation preparedness) and long term (preparation of disaster-based spatial design). The calculation of the predicted number of LoL by Raster method should be developed in the form of software program so that it can be applied directly in the field in order to take proper follow-up as well as measured in technical and financial aspects. 5. ACKNOWLEDGMENTS The author would like to thank PT. Virama Karya (Persero) and KNIBB INACOLD as a sponsor to attend the ICOLD 2018 annual symposium this year. Also to the Parahyangan Catholic University Bandung, for the other support during the preparation of this paper. Indonesian De Kay 1 Wadaslintang 107 1346 2 Penjalin 88 546 3 Cengklik 119 4187 4 Cacaban 109 1188 5 Darma 89 2 6 Wlingi 103 1060 7 Simo 39 87 8 Sanggeh 39 207 LoL No. Name of Dam 0 1000 2000 3000 4000 5000 1 2 3 4 5 6 7 8 9 Indonesian DeKay 1218