The Implementation of ORESTE using Basson Rank for Selecting The TOEFL Preparation Courses in Yogyakarta

TOEFL is one of the most frequently used international standardized tests for registering for masters and doctoral degrees, seeking study scholarships or for promotions. Unfortunately, there are still many students and employees who still experience difficulties in taking the TOEFL test. This is what then becomes the reason for them to take English courses, especially to prepare themselves for preparing the TOEFL test. Yogyakarta, which has the title of “Student City”, has many campuses and many English courses that offer the TOEFL Preparation Course. There are many types of TOEFL formats and many TOEFL Preparation Programs are offered by English courses in Yoggyakarta. The TOEFL Preparation courses has various programs including different price, teacher competencies, and facilities. In this study, the ORESTE method was used to help the people determining the best course according to its ranking. This method is one of the Multiple Attribute Decision Making (MADM) methods used to find alternatives using predetermined criteria and preference weights. The criteria used are price, instructor, materials, facilities and


I. INTRODUCTION
In this globalization era, the mastery of English in daily communication and interaction must be mastered well, both in written and verbally. Global competition has forced human resources to equipped themselves with many skills. Indonesian people iare required to have many skills so that Indonesian products or services and workers can compete in the MEA era [1] English mastery becomes the main key to success in someone's career. A good command of English will be very beneficial to have more opportunities to develop your studies, get scholarships, have a more successful career, or work in multinational companies abroad. Therefore, formal and informal English learnings need to be done to equip oneself with good English skills.
English proficiency can be seen in standardized test results that are recognized internationally. The English proficiency test can be used as a prerequisite for graduating from a Diploma or Bachelor level, a condition for receiving a Masters or Doctoral degree scholarship, as well as an increase in promotion. The Test of English as a Foreign Language (TOEFL) is one of the internationally standardized tests most often used as a test tool for English proficiency because the price is quite affordable and the form is multiple choice questions. The TOEFL test in Indonesia is coordinated by the English Testing System (ETS) in collaboration with language institutions on campus or with English courses as ETS partners. In the TOEFL, there are three abilities tested, namely the listening test, the sentence structure test and the reading test which is done in about 2 hours [2]. In reality, there are still many students and employees who are still experiencing difficulties and have to repeat the TOEFL test because the desired score has not been achieved [3]. So, they take English courses to prepare the strategies for doing the TOEFL test.
This study aimed to design a decision support system in choosing a TOEFL course using the Oreste method in Yogyakarta Special Region. Decision Support Systems are used to help people making decisions based on several criteria. The decision-making criteria used in this study are the price, the instructor, the training materials, the facilities and the location. The data were taken by conducting online data searches and direct surveys to TOEFL course locations. The ORESTE method is used because this method is a multi-criteria decision-making method, or better known as the Multi-Criteria Decision Making (MCDM) [4].The results of the study are expected to be able to show the order/ranking of the TOEFL course places from the best to the worst in the Yogyakarta area based on several criteria.

II. RELATED WORKS/LITERATURE REVIEW
The Test of English as a Foreign Language (TOEFL) is one of the internationally standardized examinations to measure the English mastery. The official TOEFL test is regulated by Educational Testing Service (ETS) in several formats, namely (1) TOEFL Paper-Based Test (PBT), (2) TOEFL Computer-Based Test (CBT), and (3) TOEFL internet-Based Test (iBT) [5]. Some English skills are tested in TOEFL, namely: Listening Comprehension, Structure, and Reading Comprehension. Besides that, there are also the tests for Writing Essay and Speaking in TOEFL [5]. TOEFL Paper-based Test (PBT) are mostly used because the price is affordable and the test are conducted in many institutions. [3] had a research about creating a teaching module and TOEFL Preparation training programs at STMK AKAKOM Yogyakarta to help students prepare for the TOEFL exam and to increase the TOEFL score. From this research, the instructional objectives and training module were designed to help the students to increase on their TOEFL score.
The ORESTE method has been used in several studies. [6] used the ORESTE method for Assessing Community Satisfaction with Sari Mutiara Lubuk Pakam Hospital Services, the results showed that this method was capable of supporting decision making. In the field of logistics transportation, oreste was also carried out to support decision making. Selection of Fast Motor Boat Transporter Vendors. The results showed that the smallest distance score is 48.2 and the CVND-T alternative vendor was selected [7]. The selection of promotional locations has also been determined using the ORESTE method. The results showed that the application can provide convenience for users and was suitable for use in determining promotional locations [8].

A. Multi Criteria Decision Making (MCDM)
Decision support systems are used as a tool for the decision makers by expanding the capabilities of the decision makers, but not to replace them [9], [10]. To assist the decision making, there are several methods in decision support systems that can be used, one of which is MCDM. MCDM is a decision making that involves many criteria. This is necessary because in some cases, decision making cannot be done with only one criterion. These criteria are used simultaneously to evaluate and compare various alternatives to make an appropriate and balanced decision [11].
There are several MCDM methods used to help the decision making process including Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) and Objective Rational Evaluation of Simplicity (ORESTE) [12].

B. ORESTE
The ORESTE method is a method where this method can be used to help the decision-making process. The Oreste method is focused on making decisions through several factors, namely convenience, trust, and simplicity [13]. This method is used according to conditions where a set of alternatives will be sorted based on criteria according to their level of importance [14]. The way the Oreste method works is by calculating each criterion with a certain value where the total value of the criteria is 100%. The weight of this criterion is used in calculating the final score for each alternative.
The stages in calculating oreste values are as follows [15] 1. Determine what criteria that will be used as a benchmark for problem solving, complemented by the value of each criterion 2. Changing each alternative data into Basson Rank.

. Rank The Data
Ranking the data is done by looking at the results of calculating the final number of preference values, where the lowest value becomes rank 1 and so on.

IV. RESULTS
The research methodology for the implementation of the Oreste method in selecting TOEFL Preparation course locations can be seen in Figure 1.  Figure 1 it can be seen that the stages of the research was begun with an analysis of the required data, it was followed by determining the criteria for selecting the course location. After the criteria were determined, then the next step was to look for alternative data for TOEFL preparation courses in Yogyakarta, namely 26 alternatives. Each alternative was searched for the data for all existing criteria. After the data were collected, the next process was to perform data calculations using the Oreste method and using Basson rank. Based on these calculations, a ranking of the 26 alternatives would be obtained.

A. Determine The Criteria
The criteria data, the values and the descriptions of each criterion used in this study can be seen in table 1. In Table 1, it can be seen that there were 5 criteria used with different values for each criterion. The highest value in selecting the TOEFL course location is the Cost criterion, while the lowest value is the distance criterion from the city center. For star rating criteria, teachers and facilities had the same value.  In Table 2, there were 26 alternatives used in this study. The value of each criterion of the 26 alternatives is different. After the data is collected, then the ORESTE calculation was carried out.

C. ORESTE Calculation
The data described in Table 2 would be converted first by creating a range for each criterion and giving a score to the range that has been made. Table 3 for the conversion of the distance criterion score (K1), Table 4 for the star rating criteria (K2), Table 5 for the cost criteria score (K3), Table 6 for the teacher criteria score (K4) and Table 7 for the facility criteria score (K5) . As an example for the distance criterion score, 4 ranges of values were created where the smaller the value, the greater the score because of course the user prefers a closer distance.     The results of converting values into scores as a whole can be seen in Table 8. In Table 8 it can be seen that all scores are the same from 1 to 4. The next step was to calculate the basson rank values for all criteria, where if there are the same values it is necessary to find the mean value. For example, the alternative value of criteria 1 from A1 to A26 has similarities, A1 has the same value as A7, A9, A10, A14, A15, A16, A18, A19, A20, A21, and A22 so that when the rank value is needed, A1 is ranked 1 , as well as for A7 and others with the same value will both rank 1 because the value is the same. Because the 12 alternatives have the same value, the next rank is 13. This rank will also be the same for all the alternatives with the same value. After getting the rank, the next step is to determine the basson rank value.
The basson rank value for criterion 1 can be seen in Table 9. This value was obtained by adding up the number of the same value and then dividing the number of the same value (1+2+3+4+5+6+7+8+9+10+11+12)/12 = 6,5. The values of the Basson rank criterion 2 can be seen in Table 10. The values of the Basson rank criterion 3 can be seen in Table 11. The values of the Basson rank criterion 4 can be seen in Table 12. The values of the Basson rank criterion 5 can be seen in Table 13. After calculating the basson rank then we need to determine the normalization value where the normalized value can be seen in TABLE 14. This normalized value was obtained from the previous basson rank calculation for each criterion in each alternative. The next step after determining the normalization value was calculating the distance score using equation (1). The results of the distance score can be seen in Table 15  The next step was to calculate the preference value with equation (2). This preference value was obtained by multiplying the distance score by the weight that has been determined for each criterion. The results of preference values can be seen in TABLE 16, with an example of the calculation as follows: A1=  The last step of using the ORESTE method was to determine the rank of all the alternatives. The best rank was obtained if the preference value is the lowest, and vice versa, the lowest rank is the alternative that has the highest preference value.

V. DISCUSSION
There are 26 TOEFL preparation courses (referred to as alternatives in this study). All of the TOEFL preparation courses are located in the Special Region of Yogyakarta. There are 5 criteria used in this study, namely distance, star rating, hourly fee, instructor and facilities. Based on the interviews conducted with several users of the TOEFL preparation course, the weight values for each criterion were taken. The highest weight is the cost criterion with a value of 30%. Star ratings, instructors and facilities have the same value, namely 20%. As for the lowest weight, namely the weight of the distance criterion. The distance referred to here is the distance between the course and KM 0 Yogyakarta.
Based on the several steps that have been carried out as shown from Table 1 to Table 16, it can be seen that the use of basson rank in the Oreste method produced a varied rank and twin values. If there is a rank with twin values, then it is necessary to find the average value. From the results of Table 16, it can be seen that there are several preference values (Vi) that are the same, for example in rank 3, it is found in alternative 7, A18, and A19. Likewise with those that is in rank 12, the same results are obtained on A9 and A22. Moreover, rank 15 is obtained in alternatives A3, A5, A11, A13, and A23. The alternative/the course place that gets the 1st rank is the 16th alternative (A16) with a Vi value of 3.942546, while the one that gets the lowest rank is the 4th alternative/the course place with a value of 9.878177.

VI. CONCLUSIONS
Based on the discussion that has been described previously, it can be concluded that the Oreste method can be used as a tool in a decision support system, especially in choosing a TOEFL course in Yogyakarta Special Region. The results of this study indicated that from the 26 data locations of the TOEFL preparation course used in the research, the first rank is the 26th alternative (A16) with a value of 3.9425 and the last rank is the fourth alternative with a preference value of 9.878177.