The Integration of Cleaner Production Indicators on the Environmental Performance Measurement System for the Indonesian Natural Rubber Industry

  • Hasibuan S
  • Gumbira-Sa’id E
  • Eriyatno E
  • et al.
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Abstract

This study aims to identify the priority of the cleaner production implementation and integrate it in the design of a comprehensive environmental performance measurement system for natural rubber industry in Indonesia. Prioritizing the cleaner production on the production process of natural rubber is based on the case of 10 Indonesian crumb rubber companies using the Analytical Hierarchy Process. The comprehensive environmental performance measurement system in natural rubber industry, i.e. in crumb rubber industry, starts from the selection of key environmental performance indicators (KEPI) using the fuzzy independent preference evaluation method. The environmental performance measurement model is developed to assist users in evaluating the comprehensive environmental performance and condition of the key indicators. The weighting for each of the KEPI is performed by means of the expert choice software. The environmental performance measurement model is designed in the form of a environmental scorecard with traffic light facilities which can provide recommendations based on the performance achievement status of each KEPI. From the results of the model verification in the case of crumb rubber industry, several indicator statuses were found "not good", i.e. on the index of raw materials, solid waste load, water conservation, energy conservation, and environmental innovation indicators. The environmental performance ranking model is designed to evaluate the comprehensive environmental performance in different companies or at different assessment periods.

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APA

Hasibuan, S., Gumbira-Sa’id, E., Eriyatno, E., Saillah, I., Honggokusumo, S., & Romli, M. (2013). The Integration of Cleaner Production Indicators on the Environmental Performance Measurement System for the Indonesian Natural Rubber Industry. International Journal on Advanced Science, Engineering and Information Technology, 3(2), 107. https://doi.org/10.18517/ijaseit.3.2.290

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