Judul: Determining Best Location of New Bakosurtanal Outlet Using GIS with Multicriteria Density Analysis.
Abstrak: As a government institution that holds survey and mapping activities in Indonesia Bakosurtanal has costumers spread out around this country. For about 75% of that costumers are from Jabodetabek area. Until today, product selling transaction is held by center outlet of Bakosurtanal, Cibinong, West Java and several outlets in Jabodetabek. The number of outlets in this area are not balance with the number of costumers. Thats why, Bakosurtanal plans to build several new outlets to increase services for its costumers. To determine the best location of new outlet, several factors need to be considered, such as customers and facilities spread out data. Geographical Information System (GIS) and several analysis process can be utilized to answer this big question. Determining Best Location of New Bakosurtanal Outlet Using GIS with Multicriteria Density Analysis is developed using arcGIS 9.2 software from ESRI. The primary goal of this experiment is to determine best location by considering density of all parameters. The parameters are costumers and facilities spread out data. The process is started from data clearing. This step is aimed to get unique and complete addressed costumers data. The following process is digitizing. In this step every costumers are mapped to the digital map by defining their spatial coordinate based on their real and complete addresses. The output of this step are point shapefiles. Survey is done to know the real position of costumer’s uncertain address. Beside it, the survey is aimed to get costumer’s opinion about best location of new outlets. When the point shapefile has been created, point density process can be started. All costumers and facilities data of every area are proceed to get their each density, and then they are classified to be 5 classes for every layer. The output of point density are raster image. The next step is overlaying. Overlay process is done between raster image of costumer and facilities. Unfortunately, all parameters do not have same influence to decide the best location. Thats why every raster image must be given weight. The weight of every raster image can be gotten by doing buffering and clipping. Both process are done to get information about how big facilities influences the costumers density. If there is positive correlation between facility and costumers, that facility will be given a big weight. In the contrary, it will be given small weight. How we give the weight of every facility is also depend on costumers opinion, based on the survey. When all facilities have been weighted, the overlay can be started. The output of overlay are shapefiles that can show best location of new outlet of every area. Keyword: GIS, density analysis, Bakosurtanal
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Judul: Determination of the Transjakarta Busway Gas Pipeline Using Geographic Information System and Multicriteria Decision Making
Abstrak: Transportation and pollution has become a severe problem in many big cities in developing countries, include Indonesia especially in Indonesia’s capital city, Jakarta. Over usage of petroleum, pollution and heavy traffic problem in Jakarta has become a more complicated case in the daily life. Meanwhile, compressed natural gas (CNG) is a clean burning, high energy, alternative energy source that enables us to safely continue to build on and improve our current lifestyle in the future. Transjakarta Busway is currently preparing to use compressed natural gas for powering the busway and it will need to define the best pipeline route from the existing main gas source to the CNG Station by considering cost, safety, social conflict, etc. The objective of this research is to determine the best route for a gas transmission pipeline network that considers various criteria for minimizing adverse. The methods of this research is based on multi criteria decision making by implementing GIS model technology refers to spatial analyst and network analyst that will produce possibility alternative routes. Having established alternative routes, each criterion and alternatives should be evaluated and weighted using pairwise comparison in term of analytical hierarchy process (AHP) to identify the best route for a gas transmission pipeline into the most preferred route. The model is concerned only with distribution lines, in areas that are already largely urbanized or industrialized. The distribution pipes will be installed under the shoulder of existing roadways and beside existing utilities. So no land needs to be purchased, and no one will be displaced. There will be some very temporary (up to one day) disruption to businesses, residents, and other facilities along the roadsides and utilities as the pipe construction, dig, bury, and test the piping. This is unavoidable, but it has standard operating procedures and various prevention and mitigation measures in place, based upon long experiences, to minimize these disruptions. This model has been applied in Transjakarta Busway Corridor VII. It was found that the best CNG pipeline route was in Kramat Jati.
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Judul: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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