Methodology The Development Of Decision Support System (DSS) For Monitoring And Evaluating Forest Industry

D. Application Software

ESRI ArcView 3.x is used to process spatial data, such as plotting a location of forest industry, location of supplier, administrative boundary, roads and forest concessions area.

3.4. Methodology

Research methodology was adopting the prototyping stages of system development by the reason of limitation cost and time, inflexible and discourages change, and ill-suited to decision making i.e. analysis, design, and implementation. Stages of the research were illustrated on Figure 3.1. Figure 3.1. Research stages

3.4.1. Analysis Stage

Based on research stages described on Figure 3.1, the research was begun by identifying problems in current system, user needs, and inventorying data needed for developing the system. Those steps were comprised on research analysis stage. The identification problems were done by analyzing the disadvantages in current system of forestry industry organization data report and forestry industry performance assessment system. The analyses were focused to the management data report on each sub directorate and technical assessment system of forestry industry performance, especially for the availability of DSS in assessing forestry industry. User needs identification is one of important steps that must be done in order to implement and to design the system. User needs identification is a systematic look at how the system concept and design can serve the user needs. Some interviews and discussions have been conducted on each sub directorate, i.e. how the system can be used and facilitating the data exchange between sub directorates, how the GIS can be implemented to show the industry location, how the performance of forestry industry can be automatically assessed, and identify the data that needs to be stored. Data inventory is an essential step in order to identify the available data needed on developing the system. Data inventory is important for conceptualizing the data structure on database system design and data used preparation. In this research, data inventory has been carried out by standardizing spatial data for having same data format and scale. Segregation of non spatial data tabular data has also been done for classifying and structuring database fields’ format by the reason of different source of data available.

3.4.2. Design Stage

Design stage is a continuation of the analysis stage. In general, this stage answers how the system to be developed and accomplishing the requirements on analysis stage that specifies what a system should to do to meet the need of users. The design stage consists of analysis of hardware, software and DSS method required design for user interface, and code used on the system developed. Identification of software and hardware required was done by analyzing the possibility software and hardware that suitable to be used for developing the system. The software required, however, should be able in constructing the database system, supporting the GIS application and maintaining the system operation. On the other side, the hardware required should be compatible with the software used and able for running the system. In the development of database, data input, processes and data stores were designed on Data Flow Diagram DFD, conceptual and logical model. DFD was designed by structuring the components of data input, process, and data stores with the contribution of user involved, where conceptual model was implemented for modeling the system data into Entity – Relationship diagram. In order to implement the conceptual data model in a commercial database management system DBMS, then the logical model has been designed. The logical model has been set the data based on entities and property of entities attributes and categorizing based on type of data. The data was also designed physically where every object that has independent physical or conceptual existence entity has been set according to the database software that used in the system. Based on user need identification, the DSS was needed for assessing the performance of forestry industry. The DSS method was determined to use the available assessment method based on regulation number P.172004 about Procedure in Assessing Sawmill, Chip wood, Veneer, and Plywood industries. On the available regulation, the evaluation was carried out by assessing parameters which are consisting on each criterion and indicator. The parameters has been weighted and scored based upon a rigorous definition of priorities. The performance of forestry industry then categorized according to the aggregate weighted value of preferred parameters.

3.4.3. Implementations Stage

The implementation stage on this research consists of software and hardware selection, development of database, code construction, and testing the programs. Software and hardware used for developing the system was selected based on the analysis of software and hardware requirement; mentioned on the Analysis Stage. The software and hardware selected shown on sub chapter 3.4. The selection of software and hardware was considered to the scope of research, their availability on Department of Forestry and also the ability of developer in mastering the software. Database development described the translation of tables in physical design into physical condition on information system and DSS environment. In the implementation, the programming languages were involved for designing tables on physical condition. Code construction describes the development of programming language in storage, retrieving, and controlling database and creating the map application. Selected software has been used for generating the syntaxes used to query data and load the map. Testing was done by installing and running the system on personal computer. Data inputting and editing has been done in the prototyping testing. The DSS prototyping was tested by assessing forestry industry through involvement of the director of each sub directorate. Training has also been done for the operator computer of the system implemented. Two 2 operators have been located on Production Sub Directorate and Marketing and Industry Assessment Sub Directorate and one 1 operator administrator positioned on Forest Product Manufacture Sub Directorate. The operator will be responsible to input and edit data of forestry industry and administrator will responsible to the system installation, connection between sub directorates and data storage on server. IV. RESULT AND DISCUSSION This chapter discusses the resulted of each research stage as described on Chapter III Methodology. Overall, this chapter consists of three major phases, which are the analysis stage, design stage, and implementation stage of the system.

4.1. Analysis Stage