ThesisOpen AccessPDF tersedia
2026•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Kristina Agustin, C1955201015, 2022. Decision Support System for Determining the Best Final Project Supervisor of Informatics Engineering Study Program Stmik Palangkaraya Using Simple Additive Weighting Method, Supervisor I Veny Cahya Hardita, M.Kom and Supervisor II Amaya Andri Damaini S.Kom., M.T. The problem in this study is how to use the decision support system application in determining the best final project supervisor and how to apply the Simple Additive Weighting (SAW) method for the Decision Support System for determining the Best Final Project Supervisor of the STMIK Palangkaraya Informatics Engineering Study Program. The data collection methods in this study are interviews, documentation, and literature studies. The type of research used in this study is reasearh & depelopment (R&D) to design the design of the system process made using UML, then the trial of the system using black box testing, the results of this study have been successfully implemented into a system and test system using black box testing as expected. The result of this study is a Decision Support System for Determining the Best Final Project Supervisor of the Stmik Palangkaraya Informatics Engineering Study Program Using the Simple Additive Weighting Method. The results provided by this system are more accurate because based on the results of multiplication and matrix addition normalized with weights, This system can simplify and speed up calculations because users no longer need to do literacy calculations manually by determining the minimum and maximum values, users only need to input data criteria, supervisor 1, and supervisor data 2 then the system will provide calculation results with the SAW method automatically.
ThesisOpen AccessPDF tersedia
2026•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Ratu Santika, C1857201056, 2022. Application of the Simple Additive Weighting (SAW) Method in the Decision Support System for the Selection of UKT Scholarship Recipients at the Web-Based Stmik Palangkaraya, Advisor I, Susi Hendartie, M.Kom., Advisor II Hotmian Sitohang, M. Kom.
With the rapid development of technology, technology has an important role in helping to complete human work, the College of Informatics and Computer Management (STMIK) Palangkaraya organizes an educational assistance program through scholarships, in determining who is entitled to a scholarship, a good decision support system is needed to assist the selection team in the selection process for scholarship recipients because the number of applicants for scholarship recipients is quite large, a support system is needed to make the selection process easier, faster, and reduce errors in determining scholarship recipients, the system that is built is the codeigniter web framework.
The analytical method used in the design and construction of this system is PIECES analysis. Data collection techniques in this study are observation, interviews, library research, and documentation. The type of research used in this research is Research & Development (R&D) and to design the system process design made using UML (Unified Modeling Language) then a system test will be carried out using Black Box Testing to test the system made is in accordance with the standards and wishes of the user or not, the results of this study have been successfully implemented into a system and system testing using Black Box Testing as expected.
This research produces a decision support system for STMIK Palangkaraya, this system is able to run well with its input and output functions and gives good results because this system is more structured and systematic than the ranking results that can be used as a worthy recommendation to receive a scholarship based on the calculation method SAW.
ArticleOpen AccessMetadata saja
2020•Artikel Penelitian dan Pengabdian
Rawa BuntuIndonesia Commuter Train Station has its own qualifications in selecting employees, as well as in determining employees who excel. This study aims to give awards to employees who excel. Through this award every employee is expected to be motivated to become better and improve quality. The problem faced is the difficulty in determining who is chosen to be an outstanding employee with subjective criteria. To overcome this problem, a decision support system is designed for the selection of outstanding employees using the SAW Method. By using 5 different variables, namely Integrity, Cooperation, Communication, Quality of Work and Work Discipline.By applying the Simple Additive Weighting method, the process of selecting employee performance is more efficient so that the station can make decisions more quickly for employees who excel. Decision making system using the Simple Additive Weighting method has helped the station in determining the selection of employee performance.
ArticleOpen AccessMetadata saja
2020•Artikel Penelitian dan Pengabdian
This study aims to create a decision support system in determining recipients of routine assistance using smarter and topsis methods in Rawakalong Village. The reason for this is that in determining the recipient of routine grant funds is not on target, because a lot of prospective beneficiary data has to be processed and the many criteria used to be considered in determining the recipient of routine route assistance. The criteria calculations used are only based on estimates without using quantitative indicators that can provide clear and definite calculations. For this reason, a decision support system is needed that can be used to process prospective recipient's routine beneficiary data and calculate the criteria used as indicators to determine citizens who must take precedence to be given routine assistance. The existence of this system is expected to help the village apparatus in determining who should be prioritized to receive routine assistance.
The method used for the Decision Support System in this study is the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Rank Method) and the TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) method. The SMARTER method is used to give weight to the 10 criteria used as indicators, and to rank alternatives based on existing criteria using the TOPSIS method..
Results obtained from this study, that the decision support system is very helpful to the village government as a decision-maker in determining the priority recipient of routine assistance in Rawakalong village.
ArticleOpen AccessMetadata saja
2017•Artikel Penelitian dan Pengabdian
The concept of decision-making aids program is currently growing very rapidly. There are so many methods that used to assist in the decision-making process. There are two methods that can be used to solve the problem of Multi-Attribute Decision Making (MADM); TOPSIS and SAW method. This is because those methods are simple, easy to understand, computing efficient and has the ability to measure the relative performance of decision alternatives in a simple mathematical form. The problem of this study is to solve a particular MADM case which it may be difficult to determine which method is the most relevant between the SAW and TOPSIS methods. Therefore a sensitivity test was conducted to determine the most appropriate method between SAW and TOPSIS in the settlement of the case. In this problem solving the problem of Multi-Attribute Decision Making (MADM) had done through Sensitivity Test process first, then by using the method between SAW or TOPSIS is aimed to assist everyone in decision-making based on best alternative value
ArticleOpen AccessMetadata saja
2017•Artikel Penelitian dan Pengabdian
Acceptance laboratory assistant in STMIK of Palangka Raya is one example of a case in making decision.Lecturers who became a selector of a practicum lecture will do selection acceptance assistant to the student who has registered as a candidate for assistant so that the process undertaken inaccurate in the selection process. the role of information technology is expected to be used to assist the lecturer in the process of acceptance of a laboratory assistant, so as to speed up the process and can produce the best decisions about anyone assistants who is received so that made the supporting system of decision selection laboratory assistant in STMIK of Palangka Raya which use method of Simple Additive Weighting (SAW). To make this system uses a method of SAW and the programming language used is Microsoft Visual Basic 6.0, then the system is developed using development method of software waterfall with design tools such as DFD (Data Flow Diagram) , ERD (Entity Relationship Diagram) and Database. With there is the Decision Support System that can be easier for STMIK of Palangka Raya in aiding the selection of a laboratory assistant so that can improve the quality of laboratory assistant.
