Judul: Sistem Penunjang Keputusan Manajemen Rantai Pasok Karet Alam dengan Pendekatan Green Supply Chain Operations Reference (Studi Kasus Di PT. Condong Garut).
Abstrak: Natural rubber is one of the important agricultural commodity for Indonesia and international scope. In Indonesia, especially in Java, one of the biggest industry of rubber was located in Kabupaten Garut, West Java. Approximately less than 95 km from the capital city of Garut, with a height of 600- 800 meters above sea level, there is a private company that has a total area of 2.741,81 hectares of rubber plantation area. Besides having a rubber plantation, the company has several rubber processing plant adjacent to the rubber plantations. Every day in the process of harvesting rubber latex in which the results of the harvest will be sent to a processing plant rubber. Latex has received factory will be transformed into a number of derivative products quality natural rubber, such as Ribbed Smoked Sheet and Brown Crepe. But in reality, the rubber plantation land productivity is on the decline so that the quality of the resulting latex was also less than satisfactory. One of the main problems is the management of the crude rubber plantation, such as the main treatment plant fertilization and weed eradication is rarely done. In addition, new clones, which have much higher productivity latex unrecognized. Low productivity of rubber plantations can also be caused by low quality seeds, farm land use that is not optimal, and poor maintenance of plants. If left longer the issue, it is feared the quality and quantity of the product also decreased. Decline in the quality and quantity of the product can reduce corporate profits as the number of high quality products that will be offered to consumers is limited. In fact, productivity declined latex not be a reason for the limitations of the company's revenue, since the company can maximize the production process so as to produce elections prospective potential consumers to buy quality products with a lot quantity can be determined. In addressing the limitations of the company's revenue for the problems that exist in the agrorubber, decision makers are faced with determining how rational decisions to be taken and make the right choice quickly and accurately. Decision support system is a form of evolution of electronic data processing and information management systems that are focused on helping top management and executives make decisions and rely on the flexibility, adaptability and rapid response, which can be controlled by the user (Suryadi and Ramdhani 1998). Decision support systems in this study can also help decision-makers to choose alternatives such decisions result of processing the information obtained. In addition the system is equipped with a selection of models that are representative of the problems that exist in the company, the development of this system is also integrated with supply chain management to facilitate any information and products, ranging from suppliers to consumers, in order to create a relationship orderly from upstream to downstream so that the measurement of the supply chain can be measured. The methodology of this research consists of the analysis of system requirements, formulation issues, and identification systems. Meanwhile, conducted the research stages of data collection and information by observation and
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Judul: Intelligent Decision Support System for Agro-Industry Development of Natural Rubber with Green Productivity Approach
Abstrak: Indonesia is the world's second largest producer natural rubber in 2011. One of industry that is closely related to environmental issues are natural rubber agroindustries. The more higher production of natural rubber led to the higher impact on the environment. Green productivity approach is an effort to reduce environmental impact and production continues to increase. This research analyzed the design of intelligent decision support system applications on web based in green productivity approach to natural rubber agro-industry. The research method consists of several stages of process, i.e. green productivity measurement, simulation of alternative scenarios, selection strategy and selection policy. Measurement of green productivity using fuzzy rule-based has a parameter environment indicators, economic indicators and green productivity index. The selection strategy using fuzzy Analytic Hierarchy Process (AHP) is aims to choose alternatives from expert recommendation based on hierarchical structure. The selection policy uses BOCR analysis and fuzzy Analytic Network Process (ANP) aims to choose an alternative based on many factors and influence each other. The data used in this study are secondary data and primary data. Based on analysis results there are differences in decision results on fuzzy AHP and fuzzy ANP. This is due fuzzy AHP consider alternatives to reduction of environmental impact and increased profits. Whereas fuzzy ANP not only consider environmental impact and benefits, but also consider the opportunities and risks of economic aspect, technological and social along mutual influence elements. The best alternative results fuzzy ANP have little risk to environment and a great opportunity to company imaging. These alternatives are more profitable because its applied does not require the readiness of infrastructure and a small cost.
Keyword: intelligent decision support system, fuzzy rule-based, fuzzy AHP, fuzzy ANP, green productivity

Judul: Evaluation of Influenza Antibody Titers in Serum and Egg Yolk of Layers Vaccinated with Influenza Vaccines.
Abstrak: Influenza belongs to the Orthomyxoviridae family which causes upper and lower respiratory tract infection. The aim of this study was to evaluate influenza-A specific antibody titers from serum and egg yolk of hens vaccinated with quadrivalent influenza vaccines. Three Hy-line Brown layers were vaccinated with quadrivalent influenza type A and B inactivated vaccines. Vaccination was carried out three times at a dose of 0.25 ml/chicken via the intramuscular route. The first vaccination was carried out at 24 weeks of age, then boosters were performed at 28 and 32 weeks of age. Serum and egg yolk were collected every week for 20 weeks since the first vaccination. Influenza A H3N2 and H1N1 antibody titers were determined using hemagglutination-inhibition (HI) test and agar-gel-precipitation (AGP) test. Influenza-A H3N2 and H1N1 specific antibodies were detected in both serum and egg yolk from the first to twenty weeks after the initial vaccination. Highest HI geometric mean titer (GMT) of H1N1 antibody reached 26.67 HIU at nine weeks post first vaccination (p.f.v), while H3N2 antibody reached 26 HIU at six weeks p.f.v. Our result showed that influenza antibodies can be produced in layers using quadrivalent vaccines and layer chickens are able to produce equivalent antibody levels for each influenza subtype.
Keyword: antibody, egg yolk, influenza, layer chickens, serum