E3S Web Conf.
Volume 31, 2018The 2nd International Conference on Energy, Environmental and Information System (ICENIS 2017)
|Number of page(s)||6|
|Section||09. Environmental Policy, Planning and Education|
|Published online||21 February 2018|
Utilization of Information Technology for Non Domestic Waste Management in Semarang City
Doctoral Program of Environmental Science, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Electricall Engineering, Faculty of Engineering, Diponegoro University, Semarang - Indonesia
* Corresponding author: firstname.lastname@example.org
Garbage problem is often very complex in urban areas. The handling pattern of collecting, transporting and disposing that has been applied up to this day has not yet produced an appropriate solution. This is evident from the data of statistic centre institution in 2015 that 76.31% of the existing waste in the community has not been sorted, while 10.28% sorted to be used and 13.41% sorted to be discarded, showing the community amount of unsorted garbage large enough to necessitate managerial efforts at the waste sources. In designing a systematic and structured waste management system, the generations, compositions, and characteristics of the waste are indispensable. Therefore, a research is conducted on these three dimensions to the non-domestic waste in Semarang City, which involves commercial waste (from the markets, restaurants, and hotels), institutional waste (from the offices and schools). From the research result the average of 0,24kgs/person/day in weight unit of the City’s non-domestical waste generation is derived. The waste composition is dominated by organic waste of around 61.95%, while the rest percentage is inorganic. The management policy is directed with the application of Management Information System model based on Information Technology because of the system’s abilities to effectuate the waste management.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.