DECISION SUPPORT SYSTEM FOR SELECTING TOURISM OBJECT IN SURABAYA CITY USING SIMPLE ADDITIVE WEIGHTING BASED ON ANDROID

In this final project will discuss the implementation of the Decision Support System Attractions in Surabaya using Simple Additive weighting. Issues to be taken is to obtain the best results of 50 attractions in Surabaya based on the location of the user to take advantage of the Android-based operating system, to make it more easier for users to access these applications. To obtain the value of the distance criterion, the application is using the formula Haversine. The results of the election decision support system application attractions in Surabaya using Simple Additive weighting method is the obtainment of the highest values of attractions based on user location with weights to each criterion especially distance criterion which has a weight of 0.3.


INTRODUCTION
Surabaya is the second largest city in Indonesia after Jakarta, making this city as business center, commerce, industry, and education in East Java.In terms of tourism, Surabaya has a variety of tourist attraction, including the historical sights are always searching for by tourists who come.Some of the tourist attraction become the leading tourist attraction of Surabaya.However, some people are confused in choosing the tourist attraction liking especially near the location of tourist attraction, especially people who come from out of city who want to visit Surabaya would have trouble when first came.With the current development of technology, it is actually very easy to access information via smartphone.Whether it is written information or information in the form of images.Some peopl e can take advantage of location based services technology to find the location they want to go to easily.
Location-based service is one of the information services by utilizing technology to know the position of something.Location-based services that use positioning system technology, allowing users to obtain location information according to their needs.LBS included in the category of the same technology as Geographic Information System (GIS).Location based services can help in the decision making process faced with various criteria as the selection of a tourist attraction.The method used in this decision-making system is the Simple Additive weighting method (SAW).The basic concept of the SAW method is looking for a weighted summation of the rating performance of each alternative on all attributes.
Based on the description above, this research is trying to create an application with the title "Decision Support System For Selecting Tourism Object in Surabaya City Using Simple Additive Weighting Based On Android."

DECISION SUPPORT SYSTEM
Decision Support System (DSS) or Decision Support System (DSS) is a system that can provide problem-solving ability and the ability of communicating to a problem with the condition of semi-structured and unstructured.This system is used to assist decision-making in situations of semi-structured and unstructured situations, where no one knows for sure how the decision should be made (Turban, 2001).[1]

FLOWCHART
Flowchart in the figure below describes the flow of the system is doing by the admin and user in this application.Suppose the user's GPS location is in Bhayangkara Surabaya University, then: User locations = Bhayangkara Surabaya University

Match Rating
Below is the table of match rating for each alternative on each criterion...., n.

Value Preference For Any Alternatives
The final result is obtained from the sum of the normalization matrix multiplication weights of criteria in order to obtain the greatest value is selected as the best alternative.

RESULTS AND DISCUSSION
Below is a table of test results application using SAW.Based on the table above test results, it can be seen that the distance criteria is very influential on the final result of each alternative with weight for each of the criteria obtained from the test data in Table 7.

CONCLUSION
From the description in the previous chapters, it can be concluded as follows: 1) This application uses the Simple Additive weighting method to get the best tourist attraction with weighting on each criterion especially distance criterion which has a weight of 0.3, to obtained the highest value as the best alternative.
2) The application is able to provide a solution of the tourist attraction for the user in accordance with the location of the user is located.
3) To know the distance criteria, this application uses Haversine formula by calculating the longitude and latitude location of the user and the tourist attraction, so that the distance of tourist attraction from the user's location can be known.

Figure 1 .
Figure 1.Flowchart admin and user Weighting of the criteria for selecting a tourist attraction spot to get the best tourist attraction is as follows:Operational hour = 0.15 (benefit) Ticket price = 0:25 (cost) Facility = 0.2 (benefit) Distance = 0.3 (cost) Address = 0.1 (cost)4.2Calculation of DistanceBefore calculating method of SAW, calculated the distance calculation first between the user's GPS location with tourist attraction using the Haversine formula.

4. 4
Normalization SAW method requires a process of normalizing the decision matrix (X) to a scale that can be compared with all the ratings of existing alternatives.Information rij = Normalized performance rating Maxij = The maximum value (largest) of each row and column Minij = The minimum value (the smallest) of each row and column Xij = Rows and columns of the matrix with rij is the normalized performance rating of alternatives Ai on attribute Cj; i = 1, 2,

Vi
calculations SAW page view on the application.

Figure 2
Figure 2 Calculation SAW Page

Table 1 .
Table weighting of the operating hour criteria b.Ticket price (cost) Weighting for Ticket Price criteria.

Table 2 .
Table weighting of ticket price criteria

Table 3 .
Table weighting of facility criteria d.Address (cost)Weighting for Address criteria.

Table 4 .
Table weighting of address criteria

Table 5 .
Match Rating table

Table 6 .
Calculation Results of Testing Applications with SAW

Table 7 .
Table of test data to determine the weighting of criteria