Evaluation of Air Pollution Control Management In Jakarta by Crossed-Impact Matrix Multiplications Applied to Classification (MICMAC)

Abstract

Abstract The rapid activity in Jakarta due to high economic growth increases air pollution, which impacts health problems and environmental, social, and ecological disturbances. The research objectives are to determine factors for controlling air pollution, score and evaluate the matrix of direct influence (MDI), draw a direct and indirect influence graph, and make rating and classification comparisons. The information collection was carried out by applying the Center Gather Dialog strategy to decide the factors that impact contamination control. Information evaluation was carried out utilizing the interpretive structural modelling (ISM) with matrice d’ impacts cruises multiplication appliqué a classement (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC). The results show that the factor that influences air pollution control is high concentrations resulting from activities in the transportation sector and industrial sector. Economic growth has an indirect effect because economic growth is correlated in the same direction as air pollution. The transportation sector consists of motorized vehicle activities such as cars, two-wheeled motorbikes, aeroplanes, trains, and ships that use oil fuel, which contributes to the high concentration of air pollution in Jakarta. Controlling air pollution must involve all parties, including government responsibility, public awareness, transportation, and industrial actors. All parties should implement and comply with regulations effectively and efficiently. Air pollution monitoring activities must be carried out appropriately and regularly.