Published date: Dec 26 2019

Journal Title: KnE Engineering

Issue title: The 1st International Conference on Geodesy, Geomatics, and Land Administration 2019

Pages: 34–46

DOI: 10.18502/keg.v4i3.5820

Arief Laila Nugrahaarief_ln@yahoo.comDepartment of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia

Abdi SukmonoDepartment of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia

Hana s Sugistu FirdauDepartment of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia

Sabda LestariDepartment of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia

Semarang Regency is a region that is very vulnerable to landslides based on the spread of the wider area each year to the occurrence of landslides. The need for a proper assessment of the mapping of landslide hazard so that it can be used as decision making in the mitigation system in Semarang Regency. Geographical Information System (GIS) is the right method of mapping disaster-prone areas for a wide area with a relatively short time. This method is carried out as an effort to analyze risk and hazard mapping through the dissemination of hazard information so that it will accelerate the process of delivering information to the public and can improve preparedness in taking actions to reduce disaster risk. Then, various methods that can be used to obtain weighting and classification, one of which is to make a decision-making method using the Multi Criteria Decision Making (MCDM) method. One of the MCDM methods that can integrate with SIG is the Analytical Hierarchy Process (AHP). this research it can be concluded that the use of the AHP method to the GIS analysis of landslide mapping provides good accuracy with a value of 70.97% of the 31 validation points suitability. The results of this landslide map can be used as a basis for planning landslide disaster mitigation in Semarang Regency.

[1] Varnes, D. J. (1981). Slope stability problems of the circum Pacific region as related to mineral and energy resource. In: Halbouty, M.T. (Ed.), Energy resources of the Pacific region. American Association of Petroleum Geologists Studies in Geology. No. 12, pp. 489–505. Tulsa, Okla: American Association of Petroleum Geologist.

[2] Lee, S. and Pradhan, B. (2007). Landslide hazard mapping at Selangor Malaysia using frequency ratio and logistic regression models. Landslides, vol. 4, no. 1, no. 33–41.

[3] Pradhan, B. (2010). Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. J. Ind. Soc. Remote Sens, vol. 38, no. 2, pp. 301–320. https://doi.org/10.1007/s12524-010-0020-z

[4] Nugraha L. A., Santosa, Purnama B., Aditya, T. (2015). Dissemination of tidal flood risk map using online map in Semarang. Procedia Environmental Sciences, vol. 23, no 2015, pp. 64–71.

[5] Guzzetti, F. et al. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31, 181–216.

[6] Paripurno, E.T., Theml, Sven., Darsoatmodjo, et al. (2008). Katalog Metodologi Penyusunan Peta Geo- Hazard Dengan GIS. Badan Rehabilitasi dan Rekonstruksi (BRR) NAD-Nias.Banda Aceh.

[7] Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. J. Math. Psychol, vol. 15, pp. 234–281.

[8] Ayalew, L., Hiromitsu, Y., Norimitsu, U., (2004). Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides vol. 1, no. 1, pp. 73–81.

[9] Malczewski, J., (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, vol 62, pp. 3–65.