Data Source Tools Used

3.1.5. Graphical User interface

GIS-based DSS Application Development - preparing applications identified in the Needs Assessment, which require additional programming using the macro language or other supporting programming languages. Several models have been introduced for system development. In this research used prototyping model. Prototyping is the rapid development and testing of working model or prototypes of new application in an interactive, iterative process that can be used by both systems analyst and end user. Prototyping makes the development process faster and easier for system analyst, especially for project where end user requirements are hard to define O’Brien, 1999. Graphical user interface is an application that can be used by users and it has specific functions. The system development can be integrated and operated in a personal computer. The interface has been developed using Microsoft Visual Basic and supported by database reference ADO and several ActiveX components, i.e. ESRI MapObject.

3.2. Data Source

Mainly the spatial data used for this research acquired from Center for Marine Natural Resources Survey, BAKOSURTANAL. There are two kinds of data, i.e: a. Non-spatial data based on criteria of Island Directory UNEP, 2004: - Demographic population, density, number of fisherman etc. derived from district statistical agency BPS, 2002. 35 - Geography, geology and ecology data latitude, longitude, ecosystem etc. derived from report of survey by BAKOSURTANAL and LPPM - IPB Anonim, 2005. b. Spatial data: - Vector: administration boundary, coastline, bathymetry, land use, geology, landform, slope, SST, salinity, current velocity, water clarity, depth and pH. - Raster: image of Ndana island Quickbird satellite image, acquisition February 26, 2005.

3.3. Tools Used

The hardware used for this study is one unit of personal computer with Pentium III processor, 256 MB RAM and 40 GB hardisk. Several software employed to accomplish this research are shown in Table 7. Table 7. List of software Software Type Function ArcView Ver. 3.x GIS application Spatial data analysis MapObject Ver. 2.1 Active X Developing user interface Visual Basic Ver. 6.0 Programming software Developing user interface and database programming Microsoft Access Database application Developing attribute data Microsoft Excel Spreadsheet application Non spatial data entry and analysis 36

IV. DATABASE DESIGN AND CONSTRUCTION

4.1. Data Preparation

The data that used for the study were collected from several sources such as BAPPEDA, BAKOSURTANAL, BPS, and DISHIDROS. Prior to the analysis, these should be prepared for this system development, including data identification and classification, standardization, and conversion. Data identification defines the data on spatial and non spatial types. Identified spatial data can be classified into feature coverage or theme, scale large, medium or small and geometric type point, line or polygon. Non spatial data can be classified into feature topic or theme and scale province, regency, district or island. Data standardization of spatial data refers to Map Accuracy for Spatial Planning Act No. 10, 2000 Peraturan Pemerintah Nomor 10 tahun 2000 tentang Tingkat Ketelitian Peta untuk Penataan Ruang Wilayah and Technical Specification for Database Development of Coastal and Marine Natural Resources Spesifikasi Teknis Penyusunan Basisdata Sumberdaya Alam Pesisir and Laut. For example: administrative boundary used A code and settlement used S code. List of classification and standardization data can be shown in Table 8 and 9. Last activity in data preparation is data conversion which data should be conversion to the same coordinate UTM and clip in the same area. All spatial data were prepared in ArcView shape formats and maps of spatial data can be seen in Appendix 2 and 3. Appendix 2 show administrative boundary of Rote Ndao Regency divided into six districts, Pantai Baru, Lobalain, Rote Timur, Rote Tengah, Rote Barat