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Decision Support System for Mining Land Clearing in Magelang Regency Using the Simple Attribute Rating Technique (SMART) Method

Received Dec 23, 2020 Revised Jan 10, 2021 Accepted Jan 20, 2021 Magelang Regency is a district located on the slopes of Mount Merapi in the western region, this existence makes Magelang Regency has potential in the field of mineral mining in the form of sand and rock. The number of riots that occurred because of the opening of the mine that was not in accordance with the provisions of the Energy, Resources and Minerals Service made the candidates for the mine opener confused in determining the place that was in accordance with the provisions of the service. Each prospective mine opener has his own considerations in determining the location. This final project is made to help provide recommendations to prospective mine openers in determining the location to be opened by considering the distance from settlements, distance from the highway, area, type of mine, and mine location. Decision Support System was built using PHP and MySQL. User can select criteria to compare each location. The method used to provide recommendations is the Simple Multi Attribute Rating Technique (SMART) based on the criteria selected by the user. The final result obtained is the recommended mine location based on the order of the final scores of the compared mine sites.


INTRODUCTION
Magelang Regency is a district located on the western slopes of Mount Merapi, which makes Magelang Regency a fertile area and has abundant mining products from Mount Merapi material. This makes Magelang Regency has sand and rock material mines in several places on the slopes of Merapi and the banks of rivers that originate at Merapi.
The rapid development and the need for materials in the form of sand and rock which are known to have very good quality make this. The material mining sector in the form of sand and rock in Magelang Regency is one of the main commodities for regional income besides tourism. However, currently there are many illegal miners who do not have official mining permits and do not meet the criteria of the Regional Government. Illegal mining causes considerable losses because does not consider the location of the land to be mined, causing environmental damage to frequent clashes between residents and investors.
The selection of this mining area is a problem for potential investors because maybe the potential investors do not know the areas and most of the actors are new people who are engaged in this field. Problem solving for potential investors from the Department of Public Works and Energy and Mineral Resources of Magelang Regency only provides a one-dimensional map that is less interactive and less understood by potential investors.
Starting from the description above, the researcher is interested in making a decision support system for the selection of new mining areas using the SMART (Simple Multi Attribute Rating Technique) method which is integrated with a geographic information system so that it can provide information about mining areas located in Magelang Regency. The system will be equipped with a mining area search facility based on a certain area. It is hoped that the system can help and provide information for potential investors who want to know about the distribution area of the Mount Merapi material mining area and help recommend new places to open new mining areas based on the urban planning map of Magelang Regency.

METHOD
The data collection techniques used to obtain data on the Decision Support System for New Mining Land Opening in Magelang Regency are: 1. Interview Interviews were conducted with the Department of Public Works, Energy, Mineral Resources of Magelang Regency as the relevant agency and several mine owners and local residents.

Literature review
The literature study was obtained from literature and other references in the form of internet browsing about the system to be made.

Definition of Scope
This stage includes various activities to formulate the problem and scope, followed by identifying possible problem solving and the feasibility of the system created.

Problem analysis
Problem analysis is defined as the decomposition of an information system with a view to identifying and evaluating a problem and obstacles that occur in the system and its needs so that it can be expected how to improve and develop it.

Needs Analysis
In this stage, data collection and data analysis are carried out, especially regarding the needs of users of this system. Assessment is carried out on the strengths and weaknesses of the previously applied work methods. Analysis of the system uses PIECES (Performance, Information, Economic, Control, Efficiency, Service) in order to obtain solutions to problems in the previous system.

Logical Design
Making a logical design of the Decision Support System for New Mining Land Opening in Magelang Regency includes designing database designs, making decomposition diagrams, and data flow diagrams.

RESULTS AND DISCUSSIONS
System testing is done by matching the results of calculations from the system with manual calculations to test the suitability of the system with the design that has been made. System testing is also done by randomly testing the system to 12 people, namely 10 users and 2 admins. After testing the users and admins were asked to fill out the questionnaire that was distributed to determine the success rate of the system from user observations.

Decision Making Process
The decision-making process uses the SMART method on mining data selected by general users. The selection process is carried out by searching for mines that match the general user search. General users can search for mining data and general users will select which mine is an alternative choice. For example, general users choose the location of Bedogan, Sawangan The steps for calculating using the SMART method are as follows: a. Based on the example above, the alternative mining locations chosen by the general user are Bedogan, Sawangan sub-district, Menayu, Muntilan sub-district, Tumpang, Sawangan sub-district, Gondosuli, Muntilan sub-district and Keningar, Dukun sub-district. b. The user selects the criteria to be used for decision making. This system has criteria for distance from settlements, distance from highways, area, mine location and type of mine. c. The user assigns a goal weight factor for each criterion. Mine Type Maximizing the need for mine types 6 Location Maximizing location presence 6 d. The system calculates the normalized goal weight factor by comparing the value of each goal weight factor with the total goal weight factor. The weight normalization calculation for each objective factor is as follows: Normalization of the weights of the objective factor to maximize weight = goal factor maximizing distance total weight of objective factor Normalization of the objective factor weights to maximize area:  The steps are to multiply the utility score by normalizing the weight of the objective factor. Then add up to get the final score.