Judul: A development of mobile recommendation systems by spatial data ecotourism
Abstrak: Recommender System (RSS) is one of the techniques of Customer Relationship Management (CRM) strategy, in the form of software tools and techniques that can provide recommendations to user. This system is a model of an application from the observation of the situation and the wishes of the user. RSS can provide advice to the user through the process and decision support systems can provide explanations and advice that can help users find what they need or preferably item made in the form of a system. Therefore, this system needs a method of making appropriate recommendations in order to provide appropriate recommendations to user desire, as well as helping to facilitate the user for making the right decision. This research has two main objectives, which are: 1) to develop a mechanism and the algorithm recommender system using the CARS method, 2) build a mobile application recommender system for eco-tourism object location based on user profile. While the scopes of this research are: 1) the method used in this study is CARS method, 2) the application is made on the Android mobile environment. The data will be used in this research are spatial data. Spatial data is a reference to the position data, objects and relationships among the earth in space. Spatial data used in this study is vector data that provide position information based on the data points by taking the case of ecotourism object in Bogor. Ecotourism is one of the tourism sectors that can help the economy. Ecotourism is a form of tourism that focuses on rural culture as a tourist attraction. Dynamic application for ecotourism RSS is not existed at this time. Based on the existing results, information about ecotourism is sites and blogs that have static information. The application of RSS applications in mobile devices has not been much developer who develops applications for this particular case study ecotourism is becoming challenge in this study. Other challenges were conducted in this research is how to determine the appropriate method for the manufacture of mobile applications based on RSS which has dynamic user profiles. Mobile devices are now widely used in various circles of society and the development of mobile applications for the software and hardware equipment continues to move dynamically in accordance with the movement of increasing need of user. The method in this application is context-aware recommender systems (CARS). Therefore, with this mobile-based recommender system can help promote ecotourism and simplify recommendations for traveler user with location information, direction and other information about ecotourism. Besides that, mobile-based recommender system is a more dynamic, iterative, efficiently, fast and can recommend information objectively.
Keyword: context aware recommendation, ecotourism, recommendation systems, spatial data, user profile

Judul: Sistem Perekomendasi Wisata Alam di Kabupaten Bogor Berbasis Mobile Menggunakan Metode Item-Based Collaborative Filtering
Abstrak: Bogor Regency is one of regions that has a high chance and tourist attraction. Beside a strategic location, Bogor Regency also has many beautiful natural tourism. The lack of information makes the tourists don’t know and visited natural tourism in Bogor Regency. Therefore we need a system of the recommenders. This study was conducted to establish the recommender systems Bogor Regency natural tourism which is expected to provide reference to travelers who want to / will visit Bogor Regency. The system is built with the recommenders using item-based collaborative filtering and the Android platform. The recommenders system is able to display a list of nature tourism with the description based on recommendations from the user.
Keyword: Bogor Agricultural University (IPB), recommender system, natural tourism, collaborative filtering

Judul: Pengaruh Ph Terhadap IgG Anti H5N1 Asal Kolostrum Sapi Yang Divaksin Dengan Vaksin Avian Influenza H5N1
Abstrak: The aims of this study is to determine the stability of IgG anti-H5 from bovine colostrum (BC) after exposure to acid and basic pH. Two samples of BC, whole colostrum and whey colostrum incubated at pH 4, 5, 9, and 10 for 30 and 60 minutes. Haemagglutination Inhibition (HI) test is used to determine IgG titer after incubation. IgG titers decreased after exposure to acid or basic pH. Acid exposure (pH 5) decreased antibodi titer of whole colostrum as much as 3,75% and 16,25% after incubation 30 and 60 minutes respectively. Antibody titer to pH 4 also decreased until 12,5% and 16,5% after for 30 and 60 minutes respectively. In whey colostrum, both pH 4 and pH 5 reduce 18,75% antibody titer. On other hand, IgG titers is decreased until 100% at basic pH (pH 9-10). In conclusion, IgG from BC is degraded in acidic and alkaline conditions.
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