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
4.1.1. Problems Identification in Current System
The Government efforts on monitoring and evaluating forestry industries have been established to enforce industries to report their annual material
requirements known as Rencana Pemenuhan Bahan Baku Industry RPBBI. This report was used to monitor and to analyze forestry industries material needed and
industries product capacity. In order to monitor the industries existence, license, and administration requirements, Government was also obligating industry to
reregister their license, profile, product, capacity setting, workers utilization, and machines production of forestry industry.
The uncertainty condition of wood material supply and Government plans in revitalizing forestry industry was pushed Government to evaluate forestry
industry performance. From the obligation, Government attempted to revitalize and create industry which efficient in material used, to improve wood product
value, and to control industry product capacity. The evaluation of industry performance was begun in 2004 and focused
for industry which has capacities production more than 6000 m
3
. For the
implementation, Government has been placed LPI Mampu as the independent organization to evaluate and assess the forestry industry actions.
The analysis stage was carried out for identifying problems in current system of monitoring and evaluation of forestry industry. The analyses were
focused to the management of forestry industry data report and the technical monitoring and evaluation system of forestry industry performance. In order to
overcome the current system problems and to design the system proposed, the user needs identification was done by interviewing the potential users.
The following are several problems identified in current system of monitoring and evaluation of forestry industry :
A. Time and Cost Inefficiency
LPI Mampu is the independent organization that selected by Government for evaluating forestry industry performance. In accomplishing their evaluation,
the highest cost and time was needed for surveying and assessing the industry. This fact can be seen from the data described on Table 4.1.
Table 4.1. Time and cost for assessing forestry industry by LPI Mampu
No. LPI Mampu Forest Industry
Cost million rupiah
Staff involved
Time to accomplished
PT. Batasan, West Kalimantan 137
7 experts 36 days
PT. Retrindo Nusantara, East Java
123 7 experts
36 days PT. Putra Setia Utama Timber,
Jambi 159
7 experts 36 days
1. PT. Alam
Jabbar Indo Malik
PT. Andatu, Lampung 127
7 experts 36 days
Source : LPI Mampu, PT. Alam Jabbar Indo Malik, 2003
The first problem that has been identified on current system was the inefficiency of cost and time used to evaluate the forestry industry. Refering to
the data described on Table 4.1, the average cost needed by PT. Alam Jabar Indo Malik, as the LPI Mampu, was approximately 136.5 million rupiah with 36 days
used to accomplish the evaluation. Data reported that the number of forestry industries that has been surveyed by LPI Mampu until 2006 consists of 98 forestry
industries where the numbers of forestry industry that identified has a capacity more than 6000 m
3
was achieved 294 Department of Forestry, 2005. By calculating the remainder of industry that was not surveyed yet, the estimation
cost for assessing forestry industry achieves 26,754 billion rupiah.
B. Disintegrated Data Handling
In structural, forestry industry data reported are handled by three 3 sub directorates : 1 Production Sub Directorate, which handles material used and
production reports; 2 Marketing and Industry’s Assessment Sub Directorate; focus in market product report; and 3 Forest Product Manufacture Sub
Directorate, which handles forestry industry data license, machines used in production, workers and production capacity reports.
The different scope in data handled between sub directorates, however, was caused asymmetric information and may cause some discrepancy in decision
making. This situation was occurred because of different authority between sub directorates in evaluating forestry industry. The fact was realized when Forest
Product Manufacture Sub Directorate extend the license period of industry, on the contrary, Production Sub Directorate identified the illegally of material used.
However, the regulation was set that industry which identified used the illegal material can not lengthens their license.
The flow forestry industry data handle in current system is illustrated on Figure 4.1.
Figure 4.1. Flow of current reporting system Figure 4.1 describes the flow of current reporting system of forestry industry data.
The flow was begun with the report that submitted by forestry industry to each sub directorate and handled based on their scope authority. Problem was arised
when sub directorate offering a recommendation to the industry based on data handled without discerning others sub directorates. However, this situation may
rise differ decision.
C. The need of DSS in evaluating forestry industry
The assessment of forestry industry performance has been arranged based on Ministry of Forestry Regulation number P.172004 about Procedure in
Assessing Sawmill, Chipwood, Veneer, and Plywood industries. The assessment
process was carried out by assessing alternatives or set of options consists on criterion and indicator. Here, the alternatives have been weighted and scored
based upon a rigorous definition of priorities. A set of performance ratings has also been determined in order to categorizing the industry performance. By
summative the score on the preferred options then the industry performance can be defined.
In the assessment performance implementation, especially for assessing industry which has a capacity more than 6000 m
3
, LPI Mampu was the selected performer of assessment. LPI Mampu will survey industry based on criterion and
indicator of the assessment, assessing the forestry industry performance, and reporting the resulted to Marketing and Industry Assessment Sub Directorate.
Based on process and technique of current system assessment as mentioned above, there are several problems identified in current system
assessment consist of : 1.
Currently, the assessment performance of forestry industry was still done manually. There was no system available for automatically ranking,
scoring and categorizing industry performance. 2.
The process of assessment was done based on LPI Mampu survey without involving the functionality of each sub directorate.
This introduces discrepancy of decision making among sub directorates.
4.1.2. User Needs Identification
Refer to problems that have been identified in current system, then user needs identification has been realized in order to inventory the requirements of the
user on the system developed. There are three 3 potential user of the system included of : 1 Forest Product Manufacture Sub Directorate; 2 Production Sub
Directorate; 3 Marketing and Industry’s Assessment Sub Directorate. The user needs identification resulted can be illustrated on Figure 4.2.
Figure 4.2. Results of user needs identification Figure 4.2 describes the results user needs identification on each sub
directorate. In general, there are four 4 kinds of user needs identified i.e. : 1.
To develop database system for organizing forestry industry data based on scope of each sub directorate data handled;
2. To develop GIS based information system for monitoring location of
forestry industry, supplier, and used to show material distribution pattern of forestry industry; and
3. To develop a decision support system tool for evaluating forestry industry
performance; 4.
To develop an interconnection area e.g., LAN - Local Area Network for facilitating data exchange between sub directorates.
4.1.3. Data Inventory
There are two 2 sources of data used on this research, consists of spatial and non spatial data as mentioned on Chapter III, sub chapter 3.2. Spatial data was
used for plotting the location of forestry industry and forestry industry’s supplier; overlay and display the location of natural and plantation forest concessions; and
used to show material distribution pattern of forestry industry. Non spatial data was used as a basic design of forestry industry database system.
Due to different sources of data used on the system developed, especially for non spatial data tabular data, then standardization and segregation data were
done in order to design the database. The standardization and segregation of data was discussed on sub chapter 4.2.1 Database Design.
4.2. Design Stage
