Acceptance of Waste to Energy Technology by Local Residents of Jakarta City, Indonesia to Achieve Sustainable Clean and Environmentally Friendly Energy

• Published in: Journal of sustainable development of energy, water and environment systems Vol. 11; no. 2; pp. 1 - 17
• Main Authors: Suryawan, I Wayan Koko, Septiariva, Iva Yenis, Sari, Mega Mutiara, Ramadan, Bimastyaji Surya, Suhardono, Sapta, Sianipar, Imelda Masni Juniaty, Tehupeiory, Aarce, Prayogo, Wisnu, Lim, Jun-Wei
• Format: Journal Article
• Language: English
• Published: SDEWES Centre 01-06-2023
• Subjects: indonesia; sustainable clean energy; environmentally friendly energy; factor analysis; cluster analysis; waste to energy technology; local residents; jakarta city
• ISSN: 1848-9257; 1848-9257
• DOI: 10.13044/j.sdewes.d11.0443

Economic and urban developments have contributed more plastic waste and are also dominated by organic waste. The organic content and high caloric content of the waste characteristics in Indonesia support the selection of an appropriate waste to energy technology. At this time the concept of waste to energy is being developed in a number of developed countries as a method for managing waste and strategy to improve waste management and reduce environmental impacts. This study aims to determine the level of public acceptance towards waste to energy technology enabling waste to energy to be adequately managed by increasing public awareness. A random sampling was carried out on residents in Jakarta using a hybrid method. The results showed the percentage of total variance of the three factors, namely socio-economic, environmental impact and development was 72.11%. Socio-economic refers to the ability of the community to see opportunities, environmental impact refers to community awareness, and development refers to the technical aspects of waste to energy development. Of the three factors, socio-economic factor became the most determining factor to the waste to energy public preference and acceptance. The education level and potential income from the project can be determined as the most determining factors for developing and implementing waste to energy in Jakarta. The binary probit regression analysis model approach is used for the willingness to accept waste to energy by grouping models from communities with different classes formed from cluster analysis, namely overall respondents (model I), low participation (model II), pro-sustainable environment (model III), and pro economy and society (model IV). In addition, the most significant feature for each model was the increase in public knowledge about waste to energy technology to be applied in the future. This is also a lesson for other regions and countries that will apply waste to energy technology to consider non-technical aspects to increase public acceptance, particularly in terms of the strategic issue claiming the harm of the waste to energy.