Analysis of Weight Product (WP) Algorithms in the best Go Car Driver Recommendations at PT. Maranatha

This study aims to rank the best Go Car Driver. The problem arises because of the inaccuracy in giving value to the driver which results in the decision being given incorrectly so that the assessment tends to be subjective. This research was conducted at PT. Maranatha Putri Bersaudara. Sources of data obtained by observing, interviewing. The settlement method used is a decision support system with the Weight Producted method. The assessment criteria used are Performance (C1), Number of orders (C2), Rating (C3), Attitude (C4), Rating (C5) and Appearance (C6) where the alternatives used are 4 samples. The results obtained using the Weighted Product method are Alternative1 and Alternative4 which are recommended as the best go car driver with the assessment results of 0.0307 and 0.0272. It is expected that research results can be input to the relevant parties in recommending the best go car driver so as to minimize subjective judgment.


Introduction
Transportation is a very important need now. Without the means of transportation, many other activities that can not be done. With the means of transportation, it makes it easier for individuals to move. Any means of transportation from the simplest to the most modern level are now available. The importance of this means of transportation makes the company come up with the idea of establishing a shuttle service business using sophisticated media such as mobile applications. The current online taxi trend has made it easier for people in need. Every community now no longer has to use public transportation such as public transportation (angkot), pedicabs (machines and paddles) or motorcycle taxis. Now there are two online taxis, namely GOJEK and GRAB. Go -car is included in one of the service features of GOJEK. The quality and morale provided by the driver can help the sustainability of a company's progress. To support the spirit of drivers at work, the company applies awards to the best drivers which are carried out periodically. The award given can be in the form of additional incentives or getting rice. PT. Maranatha Putri Bersaudara is one of the companies engaged in the field of construction. This company is located at Jl. Penitentiary, Kp. Lalang, Kec. Sunggal, Deli Serdang Regency, North Sumatra, 20124.
In carrying out company operations, PT. Maranatha Putri Bersaudara give awards to drivers by choosing the best drivers every month. This is intended to increase employee morale at work, especially in providing the best service to customers. The selection of the best drivers is assessed by the assessment team, namely Manager, Assistant Manager and Admin. The best drivers are chosen based on the criteria and sub-criteria of the company. Problems arise when determining who has the right to receive awards. Because basically each assessment criteria has a different bed. the inaccuracy of the assessment team in providing ratings to drivers because what is assessed is the subjectiveity of each driver. So the assessment given is still uncertain (fuzzy) [1]. The inaccuracy in giving a value to the driver has an impact on the results of the decision given less precisely so that in the case of the best driver selection there are more subjective properties. The above problems can be corrected by building a Decision Support System (DSS) [2]- [4] by applying a ranking method. Because One of SPK's capabilities supports finding solutions to complex problems [5]- [10]. There are many methods that can be used in the ranking process including the Weight Producted method [11], [12]. This method evaluates several alternatives to a set of attributes or criteria, where each attribute i s independent of one another [11]. This is evidenced by several previous studies related to Weight Producted methods conducted [13]. In this research, the Weight Producted method can be applied in the ranking process for giving new customers credit that has the same return value if the method is calculated manually.

Decision Support System
Decision support system is an application of information systems aimed at assisting leaders in the decision making process [14]. There are stages that must be carried out in the Decision Making System process, among others: Understanding Phase, Design Phase and Selection Phase [14]- [17].

Weighted Product Method
Weighted Product (WP) is a popular multi-criteria analysis decision that uses multiplication to link attribute ratings, where the rating of each attribute must be raised first with the weight of the attribute in question [11].

Design Analysis
In determining the best go car driver requires the right tools, which use computers as a means that can provide recommendations in the form of accurate and accurate information with a method and systematic calculation. In this case the researchers used the Weighted Product (WP) method. The WP method uses multiplication to attribute attribute ratings where each attribute must be raised first with the attribute weights. This Weighted Product method evaluates several alternatives to a set of attributes or criteria where each attribute is independent of one another.

Results and Discussion
Here are the results of the analysis using the WP method in recommending the best Go Car driver. The criteria that have been determined include: Based on the criteria and rating of the suitability of each alternative to each predetermined criterion, then the weighting of each criterion that has been converted to a system number. The criteria used in the study include:   Tables 2 to 7 is an assessment given by the HRD team for the proposed selection of activities to determine the best go car driver. The following is research data provided by the HRD team of the 5 best go car driver candidates in 2018.  Criteria  C1  C2  C3  C4  C5  C6  1  A01  85  10  Star 3  Enough  Enough  Good  2  A02  75  5  Star 3  Enough  Less  Good  3  A03  60  5  Star 2  Good  Less  Enough  4  A04  80  10 Star 2 Good Enough Less Source: PT. Maranatha Putri Bersaudara The results of the data that has been converted based on tables 2 to 7 with the data source table 8 After calculating the value of preference weights (Vi) is done in the WP method, the ranking process can be done by looking at the highest weight value of the 5 alternatives (go car driver). The final results of the WP method calculation can be seen in the following table:  Eligible  A04  0,22  2  Eligible  A05  0,22  3  Eligible   Based on table 10, the assessment process has been carried out by looking at the final weighting value from the largest to the smallest. From the calculation r esults, alternative 1 and alternative 4 (final values = 0.25 and 0.22) are recommended as the best go car driver candidate based on the WP method calculation.

Conclusion
Based on the results of the implementation and testing of Decision Support Systems in determining the best Go Car Driver at PT. Maranatha Putri Brothers using the Weight Producted method, among others: a) The system can solve the problem by implementing the Weight Product method. b) From the system test results, the Weight Product method, produces the same alternatives as the manual calculations performed. c) From the test results, the Weighted Product method can more quickly process data compared to decision making made in the traditional way. d) From day six the input assessment criteria include: Performance (C1), Number of orders (C2), Rating (C3), Attitude (C4), Rating (C5) and Appearance (C6) where 4 alternatives are used as an alternative by using the Weighted Product method namely Alternative 1 and Alternative 4 which are recommended as the best go car driver. The results of this calculation are the same as the implementation of the system test made.