

Avinash, K.G. and Ashmanjari, K.G. 2010. A GIS and Frequency Ratio Based Landslide Susceptibility Mapping: Aghnashini River Catchment, Uttara Kannada, India. International Journal of Geomatics and Geoscience 1(3):343-353.
Cao, Y., Wei, X., Fan, W., Nan, Y., Xiong, W. and Zhang, S. 2021. Landslide susceptibility assessment using the Weight of Evidence method: A case study in Xunyang area, China. PLoS ONE 16(1): e0245668, doi:10.1371/journal. Pone.0245668
Carranza, E.J.M. 2004. Weights of evidence modeling of mineral potential: a case study using small number of prospects, Abra, Philippines. Natural Resources Research 13(3):173-187, doi:10.1023/B:NARR.0000046919.87758.f5.
Corominas, J., van Westen, C.J., Frattini, P., Cascini, L., Malet, J.P, Fotopoulou, S, Catani, F, van den Eeckhaut, M., Mavrouli, O.C, Agliardi F., Pitilakis, K., Winter, M.G, Pastor, M., Ferlisi, S., Tofani, V., Hervás, J. and Smith, J.T. 2014. Recommendations for the quantitative analysis of landslide risk, Bulletin of Engineering Geology and the Environment 73(2):209-263, doi:10.1007/s10064-013-0538-8.
Fathani, T.F., Karnawati, D. and Wilopo, W. 2014. An adaptive and sustained landslide monitoring and early warning system. In: Sassa, K., Canuti, P., and Yin. Y.(eds). Landslide Science for a Safer Geoenvironment Vol.2. Springer International Publishing. P.563-567, doi:10.1007/978-3-319-05050-8_87.
Geospatial Information Agency (BIG). 2018. DEMNAS, accessed at https://tanahair.indonesia.go.id/demnas/#/demnas on April 2021.
Geospatial Information Agency (BIG). 2021. Indonesian Digital Topographic Map. Accessed at https://portal.ina-sdi.or.id/downloadaoi/ on August 2021.
Girma, F., Raghuvanshi, T.K., Ayenew, T. and Hailemariam, T. 2015. Landslide hazard zonation in Ada Berga District, Central Ethiopia - a GIS based statistical approach. Journal of Geometry 9(1):25-38.
Gomez, H. and Kavzoglu, T. 2005. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Engineering Geology 78, doi:10.1016/j.enggeo.2004.10.004.
Guerra, A.J.T., Fullen, M.A., Jorge, M.C.O. and Bezerra, J.F.R. 2016. Slope processes, mass movements, and soil erosion: a review. Pedosphere 27(1):27-41, doi:10.1016/S1002-0160(17)60294-7.
Haque, U., da Silva, P.F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., Lee, J., Yamamoto, T., Keellings, D., Wu, J.H. and Glass, G.E. 2019. The human cost of global warming: Deadly landslides and their triggers (1995-2014). Science of The Total Environment 682:673-684, doi:10.1016/j.scitotenv.2019.03.415
Indonesia National Board for Disaster Management (BNPB). 2020. Indonesian Disaster Risk Index (IRBI), BNPB, Jakarta, 218p.
Kirkpatrick, H.M., Moon, S., Yin, A. and Harrison, T.M. 2020. Impact of fault damage on eastern Tibet topography. Geology 49(1):30-34, doi:10.1130/G48179.1.
Lee, S. and Pradhan, B. 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Journal Landslides 4(1):33-41, doi:10.1007/s10346-006-0047-y.
Morgan, R.P.C. 2005. Soil Erosion and Conservation: Oxford, Blackwell, 304pp. doi:10.1002/9781118786352.wbieg0381.
National Standardization Agency (BSN). 2016. SNI 8281:2016 Development and determination of landslide vulnerability zones, National Standardization Agency, Jakarta, 28p.
Nguyen, H., Mehrabi, M., Kalantar, B., Moayedi, H. and Abdullahi, M.M. 2019. Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping. Geomatics, Natural Hazards and Risk 10(1):1667-1993, doi:10.1080/19475705.2019.1607782.
Nohani, E., Moharrami, M., Sharafi, S., Khosravi, K., Pradhan, B., Pham, B.T., Lee, S. and Melesse, A.M. 2019. Landslide susceptibility mapping using different GIS-based bivariate models. Water 11(7):1402, doi:10.3390/w11071402.
North, M.A.2009. A Method for Implementing a Statistically Significant Number of Data Classes in the Jenks Algorithm. 6th International Conference on Fuzzy Systems and Knowledge Discovery, doi:10.1109/FSKD.2009.319
Pradhan, B. and Lee, S. 2010. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environmental Earth Sciences 60(5):1037-1054, doi:10.1007/s12665-009-0245-8.
Raghuvanshi, T.K., Ibrahim, J. and Ayalew, D. 2014. Slope stability susceptibility evaluation parameter (SSEP) rating scheme-an approach for landslide hazard zonation. Journal of African Earth Sciences 99:595-612, doi:10.1016/j.jafrearsci.2014.05.004.
Rahman, H.A. and Mapjabil, J. 2017. Landslides disaster in Malaysia: an overview. Health and Environment Journal 2017, 8(1):58-71.
Samodra, G., Chen, G., Sartohadi, J. and Kasama, K. 2017. Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java. Environmental Earth Sciences 76, Article number:184 (2017), doi:10.1007/s12665-017-6475-2.
Saputra, S.E.G. , Putra, D.P.E., Atmaja, R.R.S. and Wilopo, W. 2017. Groundwater flow model of groundwater basin among volcanoes; a case study of Magelang-Temanggung groundwater basin, Central Java, Indonesia. Proceeding The 1st Annual Scientific Meeting Association of Indonesian Groundwater Experts. 16-17 November 2016, Institut Teknologi Bandung University, Bandung, Indonesia. p 1-10.
Shano, L., Raghuvanshi, T.K. and Meten, M. 2020. Landslide susceptibility evaluation and hazard zonation techniques - a review. Geoenvironmental Disasters 7:18:1-19, doi:10.1186/s40677-020-00152-0.
Statistic of Temanggung Regency (BPS Temanggung). 2021. Temanggung Regency in Figures, Statistic of Temanggung Regency, 283p.
Ul Moazzam, M.F., Vansarochana, A., Boonyanuphap, J., Choosumrong, S., Rahman, G. and Djueyep, G.P. 2020. Spatio-statistical comparative approaches for landslide susceptibility modeling: a case of Mae Phun, Uttradit Province, Thailand. SN Applied Sciences 2, Article number: 384 (2020),doi:10.1007/s42452-020-2106-8.
Van Westen, C.J., Rengers, N. and Soeters, R. 2003. Use of geomorphological information in indirect landslide susceptibility assessment. Natural Hazards 30(3):399-419, doi:10.1023/B:NHAZ.0000007097.42735.9e
Van Westen, C.J., van Asch, T.W.J. and Soeters, R. 2006. Landslide hazard and risk zonation-why is it still so difficult?. Bulletin of Engineering Geology and the Environment 65:167-184, doi:10.1007/s10064-005-0023-0.
Wang, L.J., Guo, M., Sawada, K., Lin, J. and Zhang, J. 2016. A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network. Geosciences Journal, 20(1):117-136, doi:10.1007/s12303-015-0026-1.