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Chicken meat agroindustry is one of the industries that produce unmeasured and unmonitored environmental impacts. These problems are a challenge for the industry to analyze how to measure and monitor environmental impacts. So, it is necessary to create a system that can measure and monitor environmental impacts through the Life Cycle Assessment (LCA) method. The development of system design based on the Digital Business Ecosystem (DBE) can facilitate interaction between the stakeholders involved. This study aimed to analyse system components, system modeling, and develop an LCA system design of chicken meat. The system design model wasbuilt by UML (Unified Modeling Language). The system design was developed using an Artificial Neural Network (ANN) method to predict the impact of greenhouse gas emissions and the Ordinary Least Squares (OLS) method to determine the most significant contributor. The study's results showed that this system produceed a model that can predict the impact of greenhouse gas emissions by 96.22 % of the actual value, and feed was the most significant contributor. Recommendations for reducing greenhouse gas emissions were increasing feed efficiency, installing an inverter on an ammonia compressor, using environmentally friendly fuels, and utilizing litter and manure as organic fertilizer accompanied by better manure storage management.Keywords: artificial neural network, chicken meat, ordinary least square, life cycle assessment system

Leather is a product obtained from the conversion process of raw skin/hide into leather. The process generate a number of wastes with a high pollutant content, especially waste water. The waste contributes to the formation of carbon emission. Awareness on environmental sustainability also requires the industry to improve its production system to make it more eco-friendly. Improvements will increase production and the industry reputation. Before making improvements to the production system, it is necessary to carry out an analysis related to the carbon emissions produced in producing a product. The objectives of this study were to calculate carbon emission (carbon footprint) that generates in the leather tannery process and to give alternative strategy for the environmental improvement. The research used primary data and secondary data. This research was carried out with the processes identification, carbon emission sources identification, an analysis of the carbon emission potential amount, and a study of strategies to minimize carbon formation in the tannery. The results of the analysis showed that electricity and wastewater were sources of carbon in the production process of leather. The total of carbon emission formed in the leather tanning process was 1,692.17 kg CO2 eq per batch, where wastewater contributed more than electricity. Further analysis showed that 1 m2 of leather produced 8.08 kg CO2 eq of carbon. The strategies that can be taken to reduce carbon emissions are engineering processes, material substitution, and using eco-friendly materials. Keywords: carbon footprint, leather, tannery

Leather industry is known as industry that unfriendly to the environtment, since it produces a lot of wastes in its processes. The objectives of this study were to analyze material, energy and toxicity (MET) and to identify cleaner production strategies which can be applied in leather tannery. This study was survey research. The method used were purposive sampling, MET matrix, wastewater analysis, literature review, dan expert discussion. The study showed some chemical materials which used in processing were irritant, corrosive, and carcinogenic; wastewater of 29.5 m 3 and solid wastes of 1,749.14 kg. Hazardous pollutans in the waste water and solid wastes were sulfide, ammonia, and chrome. Ammonia-N produced in deliming and bating process was 4,701.48 mg/L. Cr 6+ produced in the retanning, dyeing and fatliquoring processes was 2.09 mg/L. Sulfide produced in liming process was 646.4 mg/L. Setting out was the highest step to consumed energy, namely 336.37 kWh from 632.08 kWh of total energy consumed. The result of identification showed there were some cleaner production strategies which could be applied in the leather processing. The priority strategies which could be applied were water control and water reuse. Key words: cleaner production, MET, toxicity, wastes

Small scale tapioca industry in Bogor uses simple technology and equipment with a production capacity around 5 tons per day. The tapioca industry uses large amount of water to process the raw materials and to produce a large amount of liquid waste. The tapioca production consists of various processes, such as washing, extraction and settling process which produce a lot of liquid waste. This liquid waste contributes to the environmental pollution because it contains a lot of organic materials. The wastewater of tapioca industry generally has a high BOD, COD and TSS materials. The objective of this research is to calculate the potential waste water recycling in small scale tapioca industries in Bogor. Recycling this waste water can be done in two ways such as onsite recovery (reuse of waste water in the same process) and reuse (waste water uses for other process). Small scale tapioca industry in Bogor has an average production of 2.5 tons per day and produces liquid waste of 5070 litres/ton cassava. The identified potential usage of recycling waste water is recycling waste water for other process such as washing, milling, settling process and the conversion of waste into valuable product such as methane as a fuel. With this waste water recycling process, the tapioca industry will have a benefit in form of cost saving, and environmental benefit.

Cibanten river is one of the most potential to be developed as a source of raw water. Crucial issues at Cibanten river is the increasing load of water pollution as indicated by parameter BOD, COD and TSS. This study aimed to estimate the amount of Total Maximum Daily Load (TMDL) in Cibanten river, analyze the quality Status of the Cibanten river water, analyze the capacity of assimilation, and determine management strategy of Cibanten river of Banten Province. TMDL of BOD were determined by modeling Qual2KW and the results were compared with the second class water quality standards to regulation No. 82/2001. Management strategy of Cibanten river determined by analysis of the results of an expert survey method with AHP (Analytical Hierarchy Process). Quality Status of the Cibanten river water with pollution index was light raiment and storet method of Raw Water Quality class II belong was heavy raiment. Results of the simulation calculation of TMDL, the total load of pollution in the Cibanten BOD was730 tons/month while the TMDL of BOD was 146.801 tons/month. Results of the analysis of assimilation capacity COD was 24208 tons/month. Results of the analysis methods of survey expert with AHP (Analytical Hierarchy Process) is monitoring and surveillance as an alternative management strategies with the highest priority of the Cibanten river (agregate value 0.202)and following up the monitoring results.

The oil palm industry significantly contributes to environmental degradation if without waste management properly. The newest alternative waste management that might be developed is by utilizing the effluent of POME anaerobic digestion with EFB through integrated anaerobic decomposition process. The aim of this research was to examine and evaluate the integrated solid-liquid waste treatment technology in the view point of greenhouse gasses emission, compost, and biogas production. POME was treated in anaerobic digester with loading rate about 1.65 gCOD/L/day. Treated POME with dosis of 15 and 20 L/day was sprayed to the anaerobic digester that was filled of 25 kg of EFB. The results of research showed that after 60 days, the C/N ratio of EFB decreased to 12.67 and 10.96 for dosis of treated POME 15 and 20 L/day, respectively. In case of 60 day decomposition, the integrated waste treatment technology could produce 51.01 and 34.34 m3/Ton FFB which was equivalent with 636,44 and 466,58 kgCO2e/ton FFB for dosis of treated POME 15 and 20 L/day, respectively. The results of research also showed that integrated solid-liquid wastes treatment technology could reduce GHG emission about 421.20 and 251.34 kgCO2e/ton FFB for dosis of treated POME 15 and 20 L/day, respectively.