Analisis Dan Usulan Solusi Sistem Untuk Mendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode Analytical Hierarchy Process (AHP)

PT Vizta Pratama Bengkulu is a branch of a franchise company engaged in family karaoke entertainment services, founded by a well-known dangdut singer, Inul Daratista and starting its first operation in 2005 in Kelapa Gading area. PT. Vizta Pratama Bengkulu has not used the Decision Support System Application. The decision to determine the recipient of the annual bonus is only to calculate the total value based on 3 criteria, namely responsibility, discipline, honesty without using a decision support method, therefore sometimes it is felt that the giving of employee annual bonuses is not right on target. Decision support system for giving annual bonus at PT. Vizta pratama using the analytical hierarchy process (AHP) method is a desktop-based application that has implemented the AHP (Analytical Hierarchy Process) method, this application runs on a Windows operating system created using the Visual Basic .NET programming language and SQL Server 2008r2. This application can be used to assist in the assessment process in determining the annual bonus at PT. Vizta Pratama Bengkulu where this application uses 4 predetermined criteria and then processed using the AHP (Analytical Hierarchy Process) method so as to produce values that will be ranked. Based on the results of the Blackbox testing that has been carried out, it can be concluded that the decision support system for providing annual bonuses at PT. Viztapratama by using the analytical hierarchy process (AHP) method is able to run well and can overcome data input errors by users and the SPK application with the Analytical Hierarchy Process method has provided effective results in accordance with the results of calculations using paired comparisons of 4 criteria where the comparison of pairs of criteria must produce consistent weighting criteria.

The objectives to be achieved in this research are: 1). Creating a Decision Support System (SPK) in receiving scholarships using the Analytical Hierarchy Process (AHP) method 2). The SPK made to determine scholarship recipients is in the form of providing assistance free of committee fees. The research method used in this research is from a conventional system to a computer system in the form of an Analytical Hierarchy Process method. The software used in making a Decision Support System (DSS) in receiving scholarships uses the Analytical Hierarchy Process method using the PHP programming language and mySQL database. The criteria in the scholarship recipient data through the Analytical Hierarchy Process method consist of report cards, academic scores and non-academic scores. The results of the Decision Support System are in the form of ranking students (students) based on the calculation of criteria and student alternatives that are calculated using the Analytical Hierarchy Process method.

Assessing or evaluating the Lecturer's Performance, presented through the Lecturer Performance Index, is a crucial element in the university system that impacts the quality of The University's Three Main Purposes, which include teaching, research, and community service. To ensure objective and accurate evaluations, methods that can accommodate various relevant criteria are needed. One increasingly popular approach is the Multi-Criteria Decision Making (MCDM) method, which allows for evaluating and comparing alternatives based on multiple criteria. This research compares several MCDM methods, namely Weighted Product (WP), Simple Additive Weighting (SAW), and Multi-Objective Optimization by Ratio Analysis (MOORA), used to assess the lecturer's performance at Dipa University Makassar. The WP method can handle criteria with different units, SAW is simpler and easier to apply, while MOORA offers a more comprehensive analysis. This study also identifies challenges in assessing the lecturer's performance, such as the influence of students' subjective evaluations that may lead to bias, as well as the addition of several of the lecturer's performance evaluation criteria such as teaching innovation, student mentoring, international and national journal publications, internal publications, and book publications. Additionally, self-development criteria based on academic fields are considered. The findings of this research are expected to provide insights into effective MCDM methods for the lecturer's performance evaluation and offer recommendations for educational institutions to choose the appropriate and transparent evaluation method. By using MCDM, the objectivity and accuracy of the lecturer's performance evaluations can be improved, biases can be reduced, and contributions can be made toward developing more fair and systematic evaluation standards.

Managing human resources in the company is very important where human resources are needed for the progress of the company, in most companies, of course, can utilize all the human resources obtained in accordance with the need to contribute in accordance with the needs of the company to achieve its goals. PT. Indo Porcelain is engaged in manufacturing with ceramic dining table products, such as glassware, bowls and dishes. Problems faced by PT. Indo Porcelain is the absence of an integrated information system, so that the employee recruitment process requires time in making selection decisions for prospective employees while at the same time hampering the company's internal control. Based on the concept and design, it can be concluded that it has been built "ANALYSIS AND DESIGN OF DECISION SUPPORT INFORMATION SYSTEM FOR ASSESSMENT OF EMPLOYEE RECRUITMENT AND MANAGEMENT USING ANALYTICAL HIERARCHY PROCESS (AHP) METHOD IN PT. INDO PORCELAIN" to assist HRD in making decisions. It can be concluded that the results of the implementation of this new system can help the management department more easily, efficiently and effectively. With the decision support system using the Analytical Hierarchy Process method, the recruitment process is faster and easier. Information on the results of recruitment obtained by company management becomes more structured so that the decision support process taken by the management can produce more accurate decisions.

Decision Support Systems (DSS) are computer systems that analyze data and convert it into actionable information for decision-making. The prior application mainly emphasized design analysis in web development, neglecting the use of decision-making knowledge as a responsibility within the Tri Dharma of Higher Education. Analyzing data to transform it into information is a complex task involving decision-making. The process of decision-making has a significant impact on the information generated for recommendation purposes. Suggestions in a decision-making process only sometimes serve as a standard for leaders to implement immediately. However, it is essential to acknowledge that multiple suggestions are required to make a final decision since they provide a basis for comparison with earlier recommendations. The Decision Support System (DSS) utilized in this research focuses on selecting the optimal criteria from several criteria. The research employed the Analytical Hierarchy Process (AHP) technique, which consists of six stages : Criteria Alternative Determination, Pairwise Matrix Comparison, Criteria And Making Matrix, Square of Pairwise Matrix, Normalisation, and Alternative Ranking. All six steps must be sequentially executed without skipping any stage, ensuring each stage complements the others and generates accountable information. The research concludes by proposing a Decision Support System for Determining the Best Criteria for Lecturer Selection. This system utilizes the Lecturer Performance Index to provide recommendations to parties seeking information on selecting criteria for assessing lecturer performance. The system aims to enhance accountability in the performance of the Tri Dharma of Higher Education.

PT. LSP (Langkat Sawit Hijau Pratama) is a palm oil factory, where palm fruit or palm kernels are processed into palm oil (unfinished crude oil) which can be further processed into cooking oil, industrial oil or fuel. To get the best crude oil, superior and quality palm oil is needed, so a Decision Support System is needed in choosing suppliers to maintain good quality palm oil. A decision support system (DSS) in selecting suppliers is important because the right supplier can have a positive impact on company performance. Using a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method in selecting suppliers can increase efficiency and effectiveness in decision making, as well as help companies choose the right suppliers and have the potential to have a positive impact on company performance. This research aims to determine the performance of the Analytical Hierarchy Process (AHP) in the Supplier selection Decision Support System and utilize the Decision Support System using the Analytical Hierarchy Process (AHP) method in making decisions as part of the consideration in choosing the right supplier. The results of this research show that by comparing decisions with the Saaty theory, priority weightings for each criterion and sub-criteria are obtained consistently or CR < 0.1. Price Criteria (0.0699), Capacity Criteria (0.2289), Quality Criteria (0.5081), Arrival Criteria (0.1932). Having obtained the final score, the best supplier has been determined using the Analytical Hierarchy Processes method, namely the BEST supplier with a total of 0.5870, and the last position is the TANI9 supplier with a total of 0.0958.

With the rapid development of science and technology, new technology is starting to be used in various fields including education. Education has a very important progress in a nation, because it can optimize individual potential. The educational process in higher education has a big influence on a student's future. However, there are many students who experience difficulties in choosing a college major after graduating from vocational high school (SMK) or senior high school (SMA), because of the complexity in identifying the suitability between interests and study programs. Decision making is a problem that everyone faces, especially in choosing an appropriate college major. There are many factors to consider, and with many options available, the decision-making process can be difficult. To overcome this problem, this research aims to create a decision support system (DSS) using the AHP (Analytical Hierarchy Process) and TOPSIS (Technique For Order By Similarity To Ideal Solution) methods. The AHP method is used to solve complex problems by structuring a hierarchy of criteria and developing weights or priorities. However, when the AHP method is used with many criteria and alternatives, other methods are needed for more effective results. Therefore, a combined method of AHP and TOPSIS was chosen, where AHP focuses on pairwise comparison matrices and consistency analysis, while TOPSIS can measure relative performance and alternative decision making simply and efficiently. The results of research on decision support systems for selecting majors using the AHP and TOPSIS methods show that the application of the combined AHP-TOPSIS method can be used to determine the best alternative in selecting majors by comparing alternatives based on predetermined criteria. In addition, system testing results show that the system functions as expected and meets user needs. With a decision support system for selecting college majors implemented on the website, it can simplify the decision-making process for students and BK teachers in choosing college majors. The results of the calculation of the percentage of system feasibility in blackbox testing show a value of 95.71%, which indicates that this major selection decision support system website can be used.

The road is an infrastructure that plays an important role in people's daily lives. Therefore, it isnecessary to maintain and repair road conditions regularly. The existence of budget constraints causesnot all damaged road sections can be handled. So that in handling road repairs it is necessary todetermine priorities. In determining the priority of road improvement there are criteria that are takeninto consideration in decision making. One method of analysis that can be used to overcome complexitydue to various criteria is the Analytical Hierarchy Process (AHP) method. The AHP method is used toobtain the weight of 4 criteria that are taken into consideration in determining the priority of roadimprovement, namely road conditions, traffic volume, costs, and road classification. Calculation of scoresfor each road improvement proposal is obtained by multiplying the priority weight of the criteria by thecriteria value of each proposal. The results show that the Decision Support System that is designed canproduce a ranking of alternatives in the form of road improvement proposals based on predeterminedcriteria, so that it can be used as a basis for decision making to determine road improvement priorities.

The success of an institution is highly dependent on the quality of its human resources (HR). Employee performance evaluation is essential in determining strategic decisions such as promotions, mutations, and competency improvement. However, the manual evaluation process often faces obstacles such as delays and human error. This research aims to develop a decision support system (SPK) to select the best employees by applying the analytical hierarchy process (AHP) and simple additive weighting (SAW) methods. The research method used is the System Development Life Cycle (SDLC), which includes the stages of planning, needs analysis, system design, implementation, testing, and maintenance. Testing is carried out by Black Box Testing, White Box Testing, and acceptance testing by users (acceptance test). Based on the tests conducted using data per semester from all employee activities in performance assessment, the author concludes that the appropriate method based on the dataset used from the comparison of the use of the AHP and SAW methods in the selection of the best employees at the Teacher Professional Education Agency of the State University of Surabaya is the AHP method which gets results of 100% precision, 84% recall, 84% accuracy, and 91% of F1 scores. The results show that the methods and algorithms used can produce the best alternative recommendations for the Teacher Professional Education Agency of the State University of Surabaya. This study concludes that implementing AHP-based SPK can increase objectivity and efficiency in selecting the best employees. The implications of this research are expected to help institutions manage employee performance more systematically and accurately, as well as encourage the improvement of the quality of human resources in the academic environment.

At this time the government often to provides social assistance such as cash assistance (BLT) one of them in Menteng sub district, But the implementation of the distribution is still problematic because the implementation of the distribution is still subjective. With this the author utilizes a decision support system using Analytical Hierarchy Process (AHP) method to determine the weight and Simple Additive Weighting (SAW) method for ranking. So the results of the design of this system can assist in selecting and determining BLT recipients so that the distribution is right on target. The result of the collaboration between the AHP method and the SAW method get the ranking results with the highest preference value is 0.65 and the lowest is 0.30

Decision support systems can be used to help determine a decision. One of the methods used is the AHP (Analytical Hierarchy Process) method which is considered a flexible method and suitable for decision making. The purpose of this research is to see the use of the Analytical Hierarchy Process (AHP) method in a decision support system to assist a decision. This research method is literature study. The results of this research are that the AHP method in decision support systems can be used as a method of choice that can help determine decisions in various sectors of life.

Promotion is a very important issue for every academic because it involves the continuation of the academic development. STIKOM Tunas Bangsa is one of PTS in North Sumatera which is engaged in computer science. The process of admission of new students has the same procedure that is doing promotion to various regions in order to obtain human resources who will be a student of the college. To conduct promotional activities, STIKOM Tunas Bangsa through the marketing team must consider many factors, including promotional media used to obtain new students. From the above problems the author wants to create a decision support system that can provide solutions to the problem. One of the methods DSS that can be used is the method of Analytical Hierarchy Process (AHP). AHP is a decision support model developed by Thomas L. Saaty. This decision support model will describe the problem of multy factor or complex multi criteria into a hierarchy, according to the time (1993) the hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, and followed by the factor level , Criteria, sub criteria, and so on down to the last level of the alternative. With a hierarchy, a complex problem can be broken down into groups that are then organized into a hierarchical form so that the problem will seem more structured and systematic. From the results of this study is expected to assist the management, especially the marketing team in providing the best media promotion solutions for new students at STIKOM Tunas Bangsa Pematangsiantar.

Assessing the progress of lectures ensures the involvement of lectures in the exercise of science dissemination by research, education, and community service. That job affects the performance of lecturers at universities throughout the country. The performance of lecturers is evaluated regularly because of the vast number of evaluation attributes. Manual assessment can take time and cannot be carried out. In the evaluation of lecturer’s outcomes, a decision support model is needed to facilitate decision making. This study applies the preference ranking organization method for enrichment assessment (PROMETHEE) as a decision model in Multi-Criteria Decision Making (MCDM) and Geometric Analysis for Interactive Aid (GAIA) as a geometric analysis in determining lecturer performance. This analysis resulted in the maximal value of an alternative of 2 with Phi 0.2333, followed by 1 and 3 alternatives. These results suggest that alternative 2 is the best way to assess the performance of lecturers as the main indicator. Alternative 3 is the least recommendable alternative because of its lowest precision on the basis of visualization results.

The development of information technology today requires fast and accurate information in its implementation. The appointment of employees who perform well with the support of a decision support system is one of the implementations of the development of information technology. Research that uses the AHP method in this decision support system produces an application for an appointment decision support system that can be used in companies. The criteria used in the decision support system for the appointment of employees are: Quality of work of employees. The results of this study are to produce a ranking order of prospective employees who have good performance who have been selected, and the output of the application can assist decision makers in choosing alternative employee appointments. The application in this research is implemented using the VB programming language. NET 2008 and databases using Mysql. The Analytical Hierarchy Process (AHP) method is a method used in the design of a decision support system. The concept used by the AHP method is to change the value of a qualitative Decision Support System into a quantitative value. So that the decisions taken can be more objective. By using this Analytical Hierarchy Process, it is hoped that the employee appointment process will be more effective and efficient so that the company's leaders quickly get the value of employees who will be appointed as permanent employees to get the expected results.

This research develops a decision support system for managing tenant work orders at MidPlaza Building using the Analytical Hierarchy Process (AHP) method based on Java Netbeans. This system is designed to assist building management in prioritizing and evaluating repair and maintenance requests from various tenants effectively and efficiently. By utilizing the AHP method, the system can analyze various criteria such as urgency, complexity and impact of each work order, thereby producing an objective priority ranking. Netbeans' Java-based implementation enables a user-friendly interface and ease of system maintenance. The research results show that this system can increase the efficiency of work order management, speed up response times, and increase tenant satisfaction at MidPlaza Building. This system integrates historical work order data, tenant information, and available resources to provide accurate and contextual recommendations. Key features include a real-time dashboard for monitoring work order status, an automatic notification system, and comprehensive analytical reports. The use of the AHP method allows flexibility in adjusting criteria weights in accordance with building management policies. Evaluation of system performance shows significant improvements in operational efficiency, with reduced work order completion times and increased levels of tenant satisfaction. This system also facilitates more optimal resource allocation and more effective budget management, helping building management make better decisions and be responsive to tenant needs.