Model to Measure the Success of Climate Change Mitigation Performance through the Knowledge Management Systems

Abstract

Scientific descriptions of climate change are officially recognized at the international level is organized by the Intergovernmental Panel on Climate Change (IPCC). The IPCC compiles Assessment Reports which every five years on scientific, technical and aspects socio-economic, causes, potential impacts and coping strategies climate change. IPCC findings prove that the problem of climate change will affect ecosystems and humans in all parts of continents and oceans world. Climate change can pose great risks to health human, global food security, and economic development. Action to reduce emissions is very important and urgent to do in order to avoid the danger of climate change. Adaptation is very necessary to deal with the risks of climate change. Tiers the adaptation needed depends on the success of the mitigation activities. This paper aims to provide an overview of how mitigation in dealing with climate change can be done optimally through a knowledge management system with reference to the SECI theory (Socialization, Externalization, Combination, and Internalization). The factor analysis method is used to find the success factors of mitigation in the face of climate change, and subsequently through a regression analysis a model can be built involving a number of variables formed in the factor analysis. The results of the study provide a number of new factors that can be represented as variables of public awareness of climate change, mitigation socialization processes, availability of knowledge management systems, and governance systems. The conclusion obtained from this study is that the built model is used to measure climate change mitigation performance and can be simulated for optimal achievement based on the local wisdom of the local community.