As there are some disadvantages of the current system, thus the system for evaluating mining company needs to be developed. The proposed system will
cover problems found in the current existed system Figure 3.4.
Figure 3.4. Proposed system for evaluating mining company performance
3.3.2. User Need Analysis
User need analysis is an important aspect to determine the users and their needs in a new proposed system. As a stakeholder of mining performance
monitoring, user involvement has been identified into 2 three types, which are: ♣
Actor Actor here is mining company, who has access and responsibility for data
input which is submitted online. Mining company is one of user that can store data to database server and the other users can monitor and evaluate
of mining company performance. ♣
Evaluator
The evaluator of this MICES-Quan consists of Department of Energy and Mineral Resources DESDM and the observer andor evaluator
institution academic community, research institution, and mining expertise association, NGO. The evaluator can monitor periodical reports
of mining company and giving mark of final evaluation regarding to their performance.
3.3.3. Component Identification
3.3.3.1. Parameter Identification
One thing of the importance section in this system is variable identification of the quantitative parameters. It has been impossible to conduct this
job without determine the requirement of those, firstly. The requirement analysis of the mining quantitative parameters has been declared in national regulation.
The large amount of source of parameter requirement come from study of document and mining report regarding mining company performance and small
amount gathered from informal interview with mining and environment experts. Several document such national regulations try to be included in this
research suppose that parameters will perform in proportional way. ♣
Act of the Republic of Indonesia Number 11 in the Year of 1967 concerning Mining Fundamental Rules
♣ Act of the Republic of Indonesia Number 23 in the Year of 1997
concerning Environmental Management ♣
Government Regulation of the Republic of Indonesia Number 27 in the Year 1999 regarding Environmental Impact Assessment
♣ Government Regulation of the Republic of Indonesia Number 82 in the
Year 2001 regarding Water Quality Management and Pollution Water Protection
♣ Government Regulation of the Republic of Indonesia Number 41 in the
Year 1999 regarding Air Pollution Control ♣
Decree of the Minister State of the Environment Number 17 of the Year 2001 regarding The Types of Businesses and or Activities that must be
Equipped With Analysis of the Businesses and or Activities Impacts on the Environment
♣ Decree of the State Minister for the Environment Number KEP-
51MENLH101995 regarding Liquid Waste Standard for Industrial Activities
♣ Decree of the State Minister for the Environment Number KEP-
45MENLH101997 regarding Air Pollution Standard Index Quantitative components of good mining practice used for evaluating the
performance as described before are mining environment and mining engineering. Each component has variables and some variables have sub-variables such:
1. MINING ENGINEERING
Mining engineering is one of quantitative parameter that have to measure in case of mining performance evaluation.
a. Reserve Addition
The additional mine material raw material that produced from proven reserve based on all factors of feasibility study fulfilled.
b. Mining Operation
Mining operation means total area that can be opened for extracting ore material and waste rock and also volume of material produced from ore or
called run off mine ROM. c.
Production and Processing There have several aspects in production and processing that have to
consider such as synchronization of run off mine, processing and total content of mineral.
d. Stockpile
Stockpile regard to stock of ore material which will produce mineral, consist of low level ore and high level ore.
e. Shipping
Shipping will determine the capacity of ship vehicle in volume of composite material.
2. ENVIRONMENT MONITORING
Environment is also one of critical point in mining activity that has been directly infected to environment sustainability and local community
livelihood and indirectly infected to mining company performance. Monitoring of environment around mining area involves the calculation
and evaluation of physical and chemical condition of air quality, water quality and soil quality.
a. Cutting
Cutting determines vegetation area extraction that will use for extracting raw material.
b. Cover Soil Peeling
Cover soil peeling is the next step after cutting which extract the top of soil surface. It consists of peeling for mined new area and hoarding for
mined out area. c.
Sprout Soil Peeling Sprout soil peeling is the next step after cover soil peeling which extract
the next level of soil surface. It consists of peeling for mined new area and hoarding for mined out area
d. Mining Environment
Mining environment determine mine work area which consist of the active, mined out and tailing area.
e. Washing dan Purifying
Washing determines kind of chemical and water for washing and purifying determines tailing volume and processing.
f. Reclamation
Reclamation determines the recovery of mined out area, consist of soil hoarding and regevetation.
g. Air Quality Monitoring
Consist of aspects like sulfur oxide, nitrogen dioxide, etc. h.
Water Quality Monitoring Consist of physical and chemical aspect.
i. Environment Cost Rp
Environment cost is accounted in year or each quarterly.
Following the list of capturing data based on parameter identification which consists of general mining company information Table 3.1.
Table 3.1. General company information No
List of Information Stuffing Sample
1 Company Name
Newmont Nusatenggara 2
Company Address center office Jakarta
3 Company Address site office
Benete, Sumbawa Barat 4
Licence Type Kontrak Karya – KK
5 Licence Aggrement
SK. ……………… 6
Licence Expired Period 2010
7 Licence Phase
Exploration Exploitation 8
Digging Materials Aurum, Cuprum, Nickel
9 Location
Region …………… 10
Area 35,000 Ha
11 Target Evaluation
Percentage of Exploitation 12
Material Evaluation Quarterly IV, Year 2005
13 Mine Working System
Open Pit 14
Mine Method Back Filling
3.3.3.2. Required Tools
Some supporting hardware and software will be employed to accomplish this research.
♣
Hardware: PC Pentium IV class with minimum 2.4 GHz and 256 MB RAM with operating system Windows 2000. This hardware is the
minimum requirement for testing of system loading, working, and maintenance.
♣
ESRI Arc View 3.2 This software needed for spatial data processing regarding Indonesia
administration boundary, mining company activity boundary, etc.
♣
Microsoft Visual Basic 6.0
This is a programming language that used as engine for application server and developing information system.
♣
MySQL 1.3 This is database application software which is freeware. It used to
stored and retrieve all related data. The limitation of this software capability describes on Table 3.2.
Table 3.2. MySQL 1.3 limitation
Operating System File-size Limit
Linux 2.2-Intel 32 bit 2 GB LFS:4 GB
Linux 2.4 Using ext3 file system 4 TB
Solaris 910 16 TB
NetWare wNSS file system 8 TB
Win32 wFATFAT32 2 GB4 GB
Win32 wNTFS 2 TB possible larger
MacOS X wHFS+ 2 TB
♣
Apache Version 1.3.23 This is server software and also categorized as freeware which is used
to connect database application MySQL and application server Ms Visual Basic.
♣
Macromedia Dream Weaver MX 2004 This software is used for PHP script constructing and web design.
♣
MapServer This open source software is used to release spatial data in form of
map to the web. MapScript in this software is used integrated with PHP script.
♣
Esri MapObject 2.1
This is an ActiveX components from ESRI used in Microsoft Visual Basic 6.0 for map application programming.
3.3.4. Decision Support System Analysis
Decision Support System DSS analysis is important approach for performing variable evaluation especially quantitative parameters of mining
company. Here, the scheme of DSS approach see Figure 3.5 consists of parameters and variable evaluation. Quantitative parameter of good mining
practice especially environment monitoring has been standardized using environment standard value model Baku Mutu Lingkungan BML. It has been
publishing through legal aspect Act of the Republic of Indonesia, Government Regulation, and Decree of the Minister. Those values are modeled based on
specific characteristic requirement of location, soil condition, weather, etc.
Figure 3.5. DSS scheme of mining performance evaluation
After defining variable or parameter identification, the next step is define the weighting of parameters and variable and scoring sub variable. For this
purposes, the analysis form experts is required to define the range of its value whether good, fair or poor. All standard values have been simulated before and
the final range is taken from average range of all the experts marking. Experts are chosen randomly based on their environment expertise and mining expertise. All
these scoring value of sub variable will multiply with the weighting of parameters and variable to define the range of final performance.
3.3.4.1. Prospective Analysis
Brougeois 2002 in Sardjadidjaja 2005 explained the idea of prosprective analysis is to prepare several strategic action plans and show the
changes is required in the future. The information about influence between factors is regarded from respondent’s interview. Respondent has been choose
from mining expert and the environment experts such Government Directorate of Mineral and Coal Engineering and Environment Ministry, private environment
consulting Respondents try to identify variable which is influenced to the topic and
then analysis of relative dependence from one variable to the others with a scale 0 means that not dependence, scale 1 low dependence, scale 2 adequate
dependence, and 3 high dependence. The result of computerized influence dependence matrix will show in
quadrant level of dependence Figure 3.6. Quadrant I is the key variable input, quadrant II is connector variable stakes, quadrant III is autonomous variable
unused and quadrant IV is tied variable output.
Figure 3.6. Illustration of influenced factors in quadrant modified from Sardjadidjaja, 2005
3.3.4.2. Weighting and Scoring
Score evaluation is part of evaluation system which quantitative parameters include their variables try to be performed using weighting and
scoring. Weighting of each variable is regard from their position in interest quadrant Q and the value V of quadrant shown Figure 3.6. Scoring can be
signed by performance value with scale 3 adequate, scale 2 intermediate and scale 1 inadequate. Total value of each variable will be categorized into the rank
of evaluation. Formula for weighting follow:
• Value in Q1 A = V1 X • Variable in Q1 • Value in Q2 B = V2 X • Variable in Q2
• Value in Q3 C = V3 X • Variable in Q3 • Value in Q4 D = V3 X • Variable in Q4
Total Value TV = A + B + C + D
Weight in Q1 WQ1 = A TV Weight in Q2 WQ2 = B TV
Weight in Q3 WQ3 = C TV Weight in Q4 WQ4 = D TV
Weight for each Variable Q1 WvQ1 = WQ1 • Variable in Q1 X 100 Weight for each Variable Q2 WvQ2 = WQ2 • Variable in Q2 X 100
Weight for each Variable Q3 WvQ3 = WQ3 • Variable in Q3 X 100 Weight for each Variable Q4 WvQ4 = WQ4 • Variable in Q4 X 100
Formula for scoring follow:
Score of Intensity Scale: 3 Adequate
2 Intermediate 1 Inadequate
Weighted Maximum Score: WcQ x Score of Intensity Scale Total Score = • Weighted Maximum Score
Rank of Evaluation Score: 2.56 Very Good
2.16 – 2.55 Good 1.49 – 2.15 Adequate
0.95 – 1.48 Bad 0.95 Worst
3.3.5. System Design
The architecture of new system design Figure 3.7 of mining performance evaluation consists of four tiers which is web client tier 1, web server tier 2,
application server tier 3 and DBMS server tier 4. Web client is web browsers with user interface where the users can interact with data and information. While,
web server, server application and DBMS server is located in server and maintained by administrator. Web server and web client is connected through
internet using transmission control protocol TCP or internet protocol IP. Web server will design using dynamic hypertext markup language DHTML and
personal home page hypertext preprocessor PHP where database can be visualized in web browser.
Figure 3.7. Architecture of system design Consider to each tiers of system design, there are also a communication
system to process the need of users see Figure 3.8. Users can request data and information to web server and web server will invoke data from application server
and connected to DBMS server. After retrieve data, application server will process data and sending the result to web server, and data result will deliver to
web client. More detail of web communication process describes on event identification process see Figure 3.9.
Figure 3.8. Architecture of web communication process
Figure 3.9. Web event identification process
IV. RESULT AND DISCUSSION
This chapter is discussed about generating MICES-Quan system for evaluating mining company performance. This chapter consists of three major
phases which are analysis of database design, analysis of system evaluation and the implementation in database, information system and web visualization.
4.1. ANALYSIS OF DATABASE DESIGN 4.1.1. Database Design
Database design describes about how data connect to other in term of the user, the needs, and the relationship. MICES-Quan database design explained
with process modeling, conceptual model, logical model, and physical model. The methodology of database design explain the structure approach that uses
procedures, techniques, tools and documentation aids to support and facilitate of design.
A design methodology consists of phases each containing a number of steps, which guide the designer in the techniques appropriate at each stage of the
project. A design methodology also helps the designer to plan, manage, control, and evaluate database development projects. It is a structured approach for
analyzing and modeling a set of requirements for a database in a standardized and organized manner Connolly and Begg, 2002.
a. Process Modeling
Process modeling explains about interconnecting between data input, processes and data stores which is visualizing with data Flow Diagram DFD.
DFD describes user identification and the needs in the system visualization with context diagram Figure 4.1. DFD also can be figured out in several
