International audienceThe main purpose of the study was to isolate strains of bacteria capable of degrading hydrocarbons from contaminated mangroves and to investigate the ability of the isolated bacteria to degrade total petroleum hydrocarbons (TPH) in a microcosm model of an oily sludge. The potential use of these bacteria strains as environmental clean-up agents was tested by culturing them with six different polyaromatic hydrocarbon (PAH) compounds (phenothiazine, fluorene, fluoranthene, dibenzothiophene, phenanthrene, and pyrene). Six viable and culturable bacteria were isolated, and the 16S rDNA sequence for each was amplified using the primers 9F and 1510R. Sequence results were compared using the National Center for Biotechnology Information (NCBI) BLAST program and, combined with phenotypic and phylogenetic data, were used to identify three strains that belonged to the Bacillus genus and were most closely related (9899%) to Bacillus aquimaris, Bacillus megaterium, and Bacillus pumilus. The other three strains were closely related (98100%) to Flexibacteraceae bacterium, Halobacilus trueperi, and Rhodobacteraceae bacterium. Two isolates, BA-PZN and BM-PFFP, which were related to Bacillus aquimaris and Bacillus megaterium, respectively, were further characterized and showed great potential for the removal of more complex hydrocarbon compounds in the oily microcosm model

Pesanggrahan River has important role and function to support human life and ecosystem existing in river area. Daily human activities that utilize river water and then dispose the sewage/waste into Pesanggrahan River can decrease the air quality. This research aims to analyzed the water quality condition of Pesanggrahan River based on physical and chemical water river factors. The analysis was conducted on eight observation points along the Pesanggrahan River in DKI Jakarta Province by testing the air pollution parameters comparing it to the air quality standard of Governmental Regulation No. 82

Supply chain sustainability assessment is key to maintaining and improving the performance of agroindustry supply chain, particularly in agroindustry sustainable development. Assessment of the agroindustry supply chain performance is a complex and dynamic process. Hence, there is a need for an adaptive fuzzy multi-criteria sustainability assessment model as an alternative method for analysis and improvement. This study aims to design an adaptive fuzzy multi-criteria sustainability assessment and improvement model of the sugarcane agroindustry supply chain. In this study, (1) fuzzy inference system (FIS) was developed to assess the performance of sustainability dimensions. This study proposed 24 indicators of 4 dimensions, namely, economic, social, environment, and resource. (2) Adaptive neuro fuzzy inference system (ANFIS) was designed for aggregating the overall supply chain sustainability performance. (3) The proposed fuzzy multi-criteria assessment model was compared with the common multidimensional scaling (MDS) and linear models. This study proved that the proposed synthesis of the FIS and ANFIS models was powerful and adaptive for evaluating supply chain sustainability and providing accurate results. (4) The strategy to improve sustainability performance was developed using the cosine amplitude method (CAM). The proposed model determined that the overall supply chain sustainability value was 68.58%, which is almost sustainable. Several strategies have been suggested to improve sustainability performance, including maintaining sugarcane supply by strengthening the partnership program and improving the mill's overall recovery, followed by factory revitalization or new factory investment.

Profit allocation is the main critical problem in the supply chain. In agro-industry supply chain, establishing a fair and reasonable profit allocation has been more challenging due to the influence of uncertain factors. Cooperative game theory with the Shapley value has an opportunity to solve this problem given its appropriateness for the key goals of the supply chain. Fuzzy Shapley value was developed to accommodate uncertain stakeholders' payoff. In addition, uncertain risk and value added were considered for a reasonable profit allocation. This model succeeded in a case study of finding a fair profit allocation in the sugarcane agro-industry supply chain taking into account uncertain risk and value added. The model validation showed that sugarcane farmers, mills, and distributors achieved 35.38%, 30.11%, and 34.51% of profit share, respectively. Stakeholders achieved their profit share based on their marginal contribution, risk potential, and valueadded contribution, which may increase supply chain stability.

Four inorganic packing materials were evaluated in terms of their availability as a packing material of a packed tower deodorization apparatus (biofilter) from the viewpoints of biological NH3 removal characteristics and some physical properties. Porous ceramics (A), calcinated cristobalite (B), calcinated and formed obsidian (C), granulated and calculated soil (D) were used. The superiority of these packing materials determined based on the values of non-biological removal per unit weight or unit volume of packing material, complete removal capacity of NH3 per unit weight of packing material per day or unit volume of packing material per day and pressure drop of the packed bed was in the order of A approximately = C > B > or = D. Packing materials A and C with high porosity, maximum water content, and suitable mean pore diameter showed excellent removal capacity.