Judul: Analysis of Flood Prone Areas in the Krukut Watershed Based on Geographical Information Systems
Abstrak: Indonesia merupakan negara yang sering mengalami bencana alam seperti banjir. Banjir dapat berdampak pada kehidupan sosial, ekonomi, kerusakan material, kerusakan lingkungan dan kerusakan warisan budaya. Penanggulangan banjir perlu dilakukan untuk mengurangi dampak banjir yang begitu merugikan. Penanggulangan banjir dapat dilakukan dengan memetakan daerah rawan banjir dengan kajian Sistem Informasi Geografis (SIG) menggunakan perangkat lunak ArcGIS. Metode penelitian berupa metode deskriptif yang terdiri dari pengumpulan data, pengolahan data awal dan data lanjutan. Proses identifikasi wilayah rawan banjir menggunakan metode skor (scoring). Faktor yang mempengaruhi kerawanan adalah faktor curah hujan, kemiringan lereng, sungai dan tutupan lahan, jenis tanah dan ketinggian lahan. Berdasarkan hasil skor, Jakarta Pusat memiliki kelas kerawanan banjir kategori rendah seluas 846.03 ha (17.89%), kelas kerawanan banjir sedang seluas 3886.17 ha (82.11%). Jakarta Selatan memiliki kelas kerawanan banjir rendah seluas 4920.99 ha (35.67%) dan kelas kerawanan banjir sedang seluas 8874.90 ha (64.33%)., Indonesia is a country that often experiences natural disasters such as floods. Floods can have an impact on social, economic life, material damage, environmental damage, and damage to cultural heritage. Flood countermeasures need to be done to reduce the adverse effects of flooding. Flood countermeasures can be done by mapping flood-prone areas using Geographic Information System (GIS) of ArcGIS software. The research method is a descriptive method consisting of data collection, initial data processing, and advanced data. The process of identifying flood-prone areas uses the scoring method. Factors that influence vulnerability are rainfall, slope, river and land cover, soil type, and land elevation. From scoring result, Central Jakarta has a moderate category of flood hazard category was 846.03 ha (17.89%), and a high flood hazard class was 3886.17 ha (82.11%) . South Jakart has a low flood hazard class in South Jakarta is 4920.99 ha (35.67%), and the moderate flood hazard class is 8874.90 ha (64.33%).
Keyword: Arcgis, food prone, GIS, overlay

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: Apatite Growth Optimation on Chicken Mucouse by Fourier Transform Infrared (FTIR) Characterization
Abstrak: Some experiment had been conducted to grow apatite from supersaturated solution of calcium phosphate ions on chicken mucouse. The calcium and phosphate ions were originated from Ca(NO3)2 and (NH4)2HPO4. Carbonate ions from (NH4)2CO3 was also used as starting solution. Experiment was carried out within about 5 hours at temperature 370 C and pH 7. Value of Ca+ : PO4 3- was 1.67, while molar ratio of CO3 2- : PO4 3- was 0.5 : 1. Molarity of molar ratio CO3 2- : PO4 3- variated approximately 0.15 : 0.30, 0.51 : 1.02, and 0.90 : 1.80. Mass of mucouse powder was constant 0.75 gram. The analysis result of Fourier Transform Infrared (FTIR) showed that the precipitation was apatite carbonate type A and B. In these experiment it was found out that the mucouse reduce the crystallinity of apatite precipitant, and the growth of apatite crystal was optimum at solution with molar ratio CO3 2- : PO4 3- about 0.15 : 0.30.
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