DECISION SUPPORT SYSTEM FOR SELECTING STUDY PROGRAMS FOR NEW STUDENTS AT STMIK SYAIKH ZAINUDDIN NW ANJANI USING THE PROFILE PATCHING METHOD

To help prospective students choose a study program that suits their abilities and interests, it is necessary to design a decision support system. This system aims to facilitate the selection process of study programs for prospective students. This research aims to develop a decision support system that can help prospective students in choosing a study program at the Faculty of Engineering, University of Papua in an objective and structured manner. This study applies the Simple Additive Weighting method to facilitate the decision-making process by considering a number of relevant criteria. The evaluation is based on the following criteria: tuition fees, accreditation status, number of teaching staff and staff, and job prospects. The findings of the study revealed that the Informatics Engineering and Civil Engineering Study Programs, both at the S1 level, obtained the highest identical preference value, namely 1, outperforming other study programs. However, the best alternative is the S1 Informatics Engineering Study Program.

Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. This research aims to build a decision support system for study program recommendations using the Profile Matching Analysis method. The benefits of this research can provide final results in the form of recommended study program scores that are most suitable for prospective students. There are 5 assessment criteria used in this research, namely Language Values, Logic/IT Values, Science Values, Practice Values, and Social Values. The methods or stages carried out in this research are: data collection, system flowchart design, application of the Profile Matching Analysis method and system implementation. In this research, the recommendation results were obtained for a student with the name Afni Ruhmini based on the results of system calculations using the Profile Matching Analysis method, obtaining recommendation results for the Public Administration study program with a score = 5.3, the Marine Science study program with a score = 5.9, and the Agribusiness study program with a score = 5.6, the Physics Education study program with a score = 5.7 and the Law study program with a score = 4.8. The Profile Matching Analysis method is very suitable to be applied to solve problems in decision support system research for study program recommendations.

SMK Negeri 3 Kota Bengkulu is a Vocational High School located in Bengkulu Province. At SMK Negeri 3 Kota Bengkulu there are 5 (five) Expertise Programs that can be selected by new students including Culinary, Fashion, Beauty and Spa, Computer Network and Telecommunication Engineering (TJKT) and Broadcasting and Film. Every new student who wants to register must choose one of the expertise programs available at SMK Negeri 3 Bengkulu City. The decision support system in providing recommendations for expertise programs using AHP Method can help provide recommendations for expertise programs that are appropriate and in accordance with the assessment criteria for prospective new students and can be used as a forum to assist schools for recommending the expertise programs of prospective new students at SMK Negeri 3 Bengkulu City. A decision support system for recommending expertise programs using the AHP Method is built web-based applications that can be accessed offline. Based on system testing that has been carried out, it can be concluded that the functional of the decision support system application for recommending expertise programs using AHP Method has run well and has successfully carried out AHP Method process on prospective student value data according to the school year and provides information on the results of the expertise program recommendations for each prospective student.

Major selection is a key aspect in determining the direction of education and career of prospective new students when starting the process of enrolling in higher education. Generally, major selection is done through an interest and aptitude test during the process of selecting majors and study programs. Interest and aptitude tests are important factors in supporting students' potential and future careers. In some universities, major selection is still done manually, one of which is through edufair. As a result, during the new student admission process, service is less than optimal, with many prospective students waiting in line. However, due to limited time and human resources, services cannot run smoothly. To overcome these various obstacles, a faster and more effective solution is needed in the new student admission process. The purpose of this study is to analyze the implementation of an online interest and aptitude test system in the process of selecting majors and study programs for new students to improve the quality of employee work using the Rapid Application Development method. The results show that the implementation of an online interest and aptitude test system is a solution in the process of providing recommendations for majors and study programs for prospective new students. The system can provide relevant information for prospective students according to their interests and potential. On the other hand, an online-based system can improve the quality of university employee service because employee work activities become more practical and efficient.

Decision support system, an application that is used to facilitate members of the university promotion team to determine the policy of the university's promotion strategy. This author discusses the decision support system for determining the university's promotional strategy policy with the profile matching method. The purpose of this paper is to make a decision support system application with a new method. The application used is matlab 7.10 which is used to test based on the results of weighting and calculation. The decision support system application that is produced is as expected in the weighting stage, both in testing, although there are still deficiencies in several respects. The adoption of a decision support system for determining the campus promotion strategy policy with the profile matching method can facilitate university promotion team members in making a wise decision. The method used in the implementation of this decision support system is the determination of the university promotion strategy policy with the profile matching method

Learning is one of the obligations of students to do in every school activity where they study. However, sometimes many students are less able to digest the subject matter delivered by the teacher. Therefore, the school held a scholarship program for outstanding students. In order to motivate students to study harder. Achievement scholarships are given with the aim of motivating students to study harder. Currently the scholarship is not right on target because it is still done manually and it is not clear the criteria for a student to get an achievement scholarship. To conduct an assessment in awarding scholarships to high achieving students use a decision support system to help solve a problem. For this reason, to conduct an assessment in the awarding of scholarships, a decision support system using the Profile Matching method is used. Profile Matching method is one of the methods used in decision making. In this study, there are several aspects of the assessment for awarding achievement scholarships, namely the KKM Aspect, the Attendance Aspect, the Behavior Aspect, the Craft Aspect or the Discipline, the Neatness Aspect.

A decision support system is a solution to help provide decision recommendations in determining which options to choose as a solution, in this decision support system research, namely analyzing and comparing the Matching Profile method and the SAW (Simple Additive Weighting) method in providing the best choice solution in the case of determining teaching staff acceptance. Determination of Admission, The selected teaching staff, are teaching staff who are in accordance with the criteria and quality. In an educational institution, namely TPQ Anbata, it is a very important issue to get elected teaching staff. One way to get teaching staff who is in accordance with the cafeteria is determined by selecting or determining prospective teaching staff by paying attention to various assessment criteria so that the selected teaching staff is feasible. From the tests that have been carried out, the results obtained include all test cases, and the testing is appropriate. The results of the system calculation accuracy test show that the calculation of Matching Profile and SAW (Simple Additive Weighting Method carried out by the system with manual calculations is correct and the feasibility test. Appropriate to use in making decisions determining the recruitment of teachers than the profile matching method in Anbata TPQ. The difference is in the highest value in each method. In the profile matching method, the highest value is Salman Al Fariz with a value of 4.70 while in the SAW method the highest value is Ali Gufron with a value of 8,778., it can be concluded that the most appropriate method in determining the recruitment of teaching staff at TPQ Anbata is the Profile Matching Method.

The selection of study programs for prospective students is a very important event in Indonesia for almost all Universities both Public Universities and Private Universities. In the process of choosing a study program becomes one of the things that are difficult to handle because if one chooses or take a course of study will have an impact on prospective students in undergoing the lecture. The same thing happened in Informatics Engineering study program at Private Universities. Many people in this case the parents and prospective students to be difficult in choosing a study program Informatics engineering in a Private Universities because it has many obstacles that can make the occurrence of errors that ultimately can be harmful and troublesome for them. Regarding the election of Department of Informatics then made Decision Support System (DSS) with Elimination and Choice Expressing Reality (ELECTRE) method to help provide good results. In the calculation process, this method uses 7 (seven) criteria namely 5 (five) main criteria and 2 (two) additional criteria and 23 alternative Public Universities located in the work area of Private Universities Education Coordination 3.

The development of information technology, especially the technology that exists on smartphones is very large, so many people have smartphones, with the existing smartphones at this time it can be used for various things, one of which is the determination of study programs for prospective new students. The selection of study programs that are permanent and in accordance with their abilities is one way for students to be able to complete their studies at universities. Many students are confused and careless in choosing a study program. There are also those who choose a study program only to go along with their friends so that during the lecture process there are many obstacles to achieve a bachelor's degree, even having to take education until the end of the study period. Multi Criteria Decision Making is one of the ways that can be used to help prospective students based on their own abilities, especially since the program is made specifically for Android-based Smartphones. Thus, prospective students can try to choose the best based on the values that match the criteria determined by the desired study program without being embarrassed to know whether to be accepted in the chosen study program or not. The use of the Android platform is because almost everyone now has an Android-based smartphone so that applications can be downloaded for free on the Play Store.

In a university, determining a study program for prospective students is something that is often done to focus on prospective students so that they are in accordance with their competencies. This is a very important hope, because prospective students can develop self-competence according to their academic abilities. This research method uses several stages, including data cleaning, data collection, determining criteria, determining probability, and final testing. The Naïve Bayes method with a case study at the Private Madrasah Aliyah PAB 6 Helvetia and testing of 100 student data with an accuracy rate of 90% is a previous research. The purpose of this study was to make a classification of majors based on the criteria, while in this study the aim of making a classification of study programs for prospective new students. In this study, the same method was used but the number of data records was different, the test data was 1671 student data records, the data was obtained from 2256 data records.From the total data records were 2256, after data cleaning and data collection were carried out, 1671 test data were obtained. In the test data, there are several probability values that contain various criteria and attributes used to determine the classification of study programs for prospective new students. The number of data records is divided into 2 parts, the first is used for training data with 1158 data with a percentage of 70%, and testing data with 513 data records with a percentage of 30%. From the test results with the same method with different number of data records, the accuracy rate is from 90% to 96% with an accuracy value of 96.68%. From this accuracy value shows that the classification results obtained show the Pharmacy DIII study program.

Determining the choice of a study program to continue their studies in higher education for some people is not easy, in addition to what criteria must be used as benchmarks as well as information about costs, what facilities are provided, what infrastructure supports lecture activities are also basic things that must be considered. not so well known by many prospective students. In determining the criteria that become the benchmark for assessment, people who know or are termed experts, the problem is if the choice of the designated study program is not in accordance with the characteristics of prospective students, it will be a separate obstacle in completing future studies. This study discusses the process of selecting a study program for prospective new students using the Analytical Hierarchy Process (AHP) method based on the most commonly used criteria such as costs, accreditation and facilities, which will be compared with all study programs at Proklamasi 45 University Yogyakarta. The results showed that the most recommended information engineering study program with a total weight of 0.1389 or 13.9% followed below that of mechanical engineering and industrial engineering with a total weight of 0.1367 or 13.7% and 0.1202 or 12, respectively. 0%.

Andaliman is a commodity plant which has many benefits and high selling power. Andaliman plants are difficult to cultivate because of the difficulty of determining the suitability of land suitable for these plants and the absence of researchers who have conducted research on these plants. Therefore, a decision support system is needed that can assist in determining the suitability of andaliman plantations by using three criteria consisting of each sub-criteria, namely Soil Classification (which consists of soil Ph sub-criteria, soil type and humidity), Land conditions. (which consists of sub-criteria for altitude and light intensity), and climate (which consists of sub-criteria for air temperature and rainfall). A decision support system is a system which able to provide both problem-solving abilities and communication skills for semi-structured problems. This research system aims to design a system in determining the suitability of land for andaliman plants using the Profile Matching method, which is one of the methods in the DSS that uses the GAP weighting method. The programming language used in making the system is PHP with MySQL database. The results of the implementation of the system that have been made show that Jaranguda Village is the most suitable village for planting Andaliman plants.

The State Polytechnic of Manufacturing of Bangka Belitung (Polman Negeri Babel) offers many study programs to attract prospective students, however, interview results show that many of them are mistaken in choosing study programs. The problems identified include students wanting to change study programs, confusion in determining study programs, the level of involvement of others in determining study programs, and the number of students who do not complete their studies. The goal of this final project is to design and build a website-based application for prospective students of Polman Negeri Babel so they do not make mistakes in choosing study programs. The author uses the waterfall method and black box testing as system testing to build this application which will include features of a chatbot and an entrance exam system that can provide recommendations for suitable study programs based on the interests and knowledge of prospective students. It is hoped that this application can help prospective students make wise decisions in choosing study programs and completing their studies until graduation.

The selection of outstanding students in the school environment is an important process that requires objective and structured assessment. However, in practice, this process is still often done manually so that it has the potential to cause subjectivity and inaccuracy in decision making. This study aims to build a Decision Support System (DSS) in the selection of prospective outstanding students at SMKS Al-Washliyah 2 Merbau using the Profile Matching method. This method works by comparing the competencies or criteria possessed by students with the ideal profile that has been determined so that the gap (difference) between the two can be identified. The criteria used in the assessment include academic aspects, organizational activity, personality and discipline. This system is implemented in the form of a computer-based application to facilitate the selection process and improve assessment accuracy. The implementation of Decision Support using the Profile Matching method can be concluded that the system built is able to provide an effective solution in the selection process of prospective outstanding students at SMKS Al-Washliyah 2 Merbau.

For prospective new students often feel confused in choosing majors to continue their education at the University. The faculty of engineering is one of the favorite faculties for prospective students but sometimes most feel confused choosing what majors are in accordance with their academic abilities, so that the selection of majors often follows the choice of their closest friends or their parents’ choices. The selection of inappropriate majors will affect the future of the prospective new student. For this reason, prospective new students must know their academic abilities and interests. With a decision support system for determining majors, it is hoped that it can help prospective new students to find out the greatest potential of the choice of majors in accordance with their academic abilities and talents. Decision Support Systems made implementing the Naïve Bayes method to find out which prospective new students can potentially enter one of the departments in the technical faculty other than that the use of the Analytic Hierarchy Process model is used to find out the right choice of majors. The Naïve Bayes method refers to the rules for admitting new prospective students, which will obtain the probability formula yes and the probability formula no, to be used in calculations with data samples. The AHP model refers to the value of subjects that are tested or tested on the admission test for prospective new students. Calculations using Naïve Bayes for student data samples for the 2019-2020 school year, using 10 sample data on prospective students, obtained 3 students who did not enter the department of engineering or have no academic potential to enter the department of engineering. While other students who entered were calculated using the AHP Model, and obtained 1 student whose majors were not appropriate. While other students have chosen the right majors according to their academic abilities. In the end this Decision Support System can be used to find out which potential new students are potential and who have no potential and can also provide recommendations for the selection of the right majors in accordance with the academic abilities of prospective new students.