Judul: The Application of GIS and Remote Sensing for Determining Sensitive Area Based On Geological Hazard Perspectives
Abstrak: Geological hazards is hazard which is usually classified as geological: earthquakes, faulting, tsunamis, volcanoes, avalanches, landslides, and floods. It is a well known fact that geological hazard disaster strikes countries, causes enormous destruction and creates human sufferings and produces negative impacts on national economies. Due to diverse geo-climatic conditions prevalent in different parts of the globe, different types of geological hazard disaster strikes according to vulnerability of the area. Worldwide growth of population and particularly concentration of man and his works into urban areas, has heightened such treats to level where large-scale, and often costly, planning to reduce the hazard has become essential in many country. By using GIS and Remote sensing technology to determine sensitive area based on geological hazard persepectives, constitute the new point of view in performing hte research. Remote sensing can enable geomorphic study of areas that are inacessible to field-investigation and GIS can performing spatial analysis by an unique way. Such conducting unsupervised to determine settlement area, generating slope from satellite imagery and with GIS all result can be map and analysis by using spatial analysis. To develop knowledge base which will use as an input for decision support system. The core and simultaneously benefit of this research is the capabilities of GIS and Remote Sensing technology that can help geoscientist especially geologist to capture, manipulate and analyze of information about an object without physical contact as preliminary survey (reconnaissance), mainly for geomorphic study of areas that are inaccesible to field-base investigation. Moreover, by utilizing the available sources of data (data provider) GIS and Remote Sensing can be used more effective and efficient compared to the current or traditional methods for interpreting extremely large cover research area. The sensitive area in research area, occupied by volcanic and sedimentary breccias, conglomerate, sandstone, limestone, claystone and alluvium, with slope controlled bigger than 15%. In some places, its also occupied by igneous rock with slope controlled bigger dan 50%, particularly the area with dominantly contrlolled by geologic structure. Determination concerning unstable zone in term of ‘sensitive area’ in research area immensely supported by principal component analysis in determining iron-oxide and clay-hydroxyl (alteration zone) combined with geomorphological interpretation (geology structure & drainage pattern), slope and rock characteristics weighting. There are 215 villages in Banten and West Java province which occupied sensitive area, thus detail field-investigation can be focused concerning those areas.
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Judul: Pemetaan kawasan berpotensi banjir menggunakan sistem informasi georafis
Abstrak: Remote Sensing and Geographic Information System (GIS) can be applied to identify potential flood area. Remote Sensing helps to extract information without direct interaction with the object. On the other hand, GIS can be used to identify flood prone of an area using overlay method toward the parameters that causes flood phenomena. The object of this research was to mapping the vulnerability of flood area in Indramayu Regency using cartography models of biophysics parameters, to study the distribution and characteristic of flood area in Indramayu Regency, and to study the result using different rainfall parameters and weight category for mapping vulnerable flood area in Indramayu Regency. Data processing was done using software such as ArcView 3.3, ERDAS Imagine 9.1, and Frame & Fill (USGS). The used data are rainfall, Landsat Imagery; DEM, SRTM data; soil map, river map, and landform map. The methods consist of imagery analysis, DEM data analysis, rainfall data analysis, attribute data analysis, spatial analysis dan vulnerabilty class analysis. Rainfall parameter divided into two groups, the first group used annual mean rainfall data and the second group used monthly mean rainfall data (threemonth peak of rainy season). Proportion of parameters that called as a weight category in this research divided into two groups, the first group with different weight and the second group with equal weight. The results showed that Indramayu Regency can be concluded as a potential flood area, where the north side of Indramayu Regency is more vulnerable rather than the south side. The land characteristic of the potential flood area are flat area, alluvial plains, bad drainage, and paddy field land cover. The map that using monthly mean rainfall data and different weight is more representative for mapping flood area in Indramayu Regency.
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Judul: Sintesis 1-Kloro-2-metoksi-6-propilnaftalena-1,3-dioksolana (1:1) sebagai Prekursor Asam (S)-(+)-(6-Metoksi-2-naftil)propanoat
Abstrak: Senyawa 1-kloro-2-metoksi-6-propilnaftalena-1,3-dioksolana (1:1) sebagai prekursor asam (S)-(+)-(6-metoksi-2-naftil)propanoat disintesis dari bahan awal 2-metoksinaftalena. Tahapan sintesis diawali dengan klorinasi menggunakan 2 jenis pereaksi klorinasi, yakni isosianurat terklorinasi dan NaOCl. Klorinasi dengan isosianurat terklorinasi berhasil menyintesis 1-kloro-2-metoksinaftalena sebagai produk monoklorinasi melalui pencirian dengan kromatograf gas-spektrometer massa (GC-MS). Nisbah konversi produk paling efisien diperoleh pada laju penambahan 2.5 mmol/jam. Sebaliknya, klorinasi dengan NaOCl menghasilkan produk triklorinasi. 1-Kloro-2-metoksinaftalena selanjutnya diasilasi dengan propanoil klorida, tetapi analisis dengan GC menunjukkan bahwa produk asilasi tidak terbentuk. Sistem bebas-air diperlukan untuk keberhasilan proses asilasi tersebut.
Keyword: isosianurat terklorinasi, NaOCl, nisbah konversi