The Decision Support System For The Acceptance of Pencak Silat Athletes in Pra-PON and PUSLATDA Team Selection Using Technique For Other Preference By Similarity To Ideal Solution Method

Author(s):  
Mochammad Rizaldy ◽  
Achmad Muchayan ◽  
Made Kamisutara

Pencak Silat is one of the traditional martial arts that originated from Indonesia. The parent of Pencak Silat organization in Indonesia is INDONESIAN PENCAK SILAT ASSOCIATION (IPSI). Pencak Silat is one of the most reliable sports branches at the International-scale Olympics. Proven at the ASEAN GAMES 2018 Olympics and then the Pencak Silat Sports Branch is one of the sports branch of the most gold medal with a total of 14 medals. With the increasingly tight competition of Pencak Silat Sports, the trainer desperately needs athletes who fit certain criteria in order to be reliable in a tournament. In this study aims to assist the trainer in selecting athletes that correspond to the criteria. Therefore, a decision support system is required to assist the trainer in selecting qualified athletes. In this research, using the Technique for Other Preference by Similarity To Ideal Solution method is used to advise athletes who are eligible to be contested according to the calculation result. Result system of decision support system with Topsis method of this research has been tested by Pencak Silat Trainer and produce the results of the selection that is expected by the trainer.  Keywords: Pencak Silat, Decision Support Systems, Technique For Other Preference by Similarity To Ideal Solution, Web

2021 ◽  
Vol 11 (2) ◽  
pp. 469-479
Author(s):  
Rizki Adha ◽  
Tjahjanto Tjahjanto

The choice of business location will affect the risks and benefits of the company as a whole. This condition occurs because the location greatly affects the fixed costs and variable costs, both in the medium term and long term. The location of the business should be taken into account at the time of planning, so that the business to be run can be organized implementation in the future. Online Bicycle Indonesia is a startup engaged in goods and food delivery services by using online-based bike, will open branches in several cities and districts in Tangerang Raya area so that the result of choosing the right branch location, required a dynamic decision support system that can later be used as consideration of managers in the process of selecting branch locations. Problems in selecting branch of this company can be used Decision Support System using AHP-TOPSIS method. Analytical Hierarchy Process (AHP) method has advantages based on pair comparison matrix and perform consistency analysis, while Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method can solve practical decision making, because the concept is simple and easy to understand, and have the ability to measure the relative performance of decision alternatives. The results of the study show Kota Tangerang Selatan is superior to the weight of 0.824, the two Kota Tangerang with a weight of 0.732 and three Kabupaten Tangerang with a weight of 0.0, The decision taken can be accounted for by the calculation of AHP-TOPSIS as a model in the decision support system


Tech-E ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Kelvin Tri Tama ◽  
Andi Leo

Analysis and design of a decision support system aims to deal with problems in selecting the best supplier which is a problem at PT. Independent male star. PT. Bintang Putra Mandiri is a company engaged in the subsidized housing contractor and developer. With the existing problems, we need a system that can help companies to help determine the best supplier. Then produced a system that can help companies by using the TOPSIS method. TOPSIS uses the principle that the chosen alternative must have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution from a geometric point of view using the Euclidean distance to determine the relative proximity of an alternative to the optimal solution. As a result, PT. Bintang Putra Mandiri can determine the best supplier precisely. And the TOPSIS method is able to support supplier selection decisions by ranking


2020 ◽  
Vol 5 (2) ◽  
pp. 195
Author(s):  
Amalia Khansa ◽  
Fauziah Fauziah ◽  
Aris Gunaryati

Along with the rapid development of technology, many types of laptops and smartphones have sprung up. The many types on the market can make consumers confused in choosing products. The decision support system for choosing this personal device uses the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The basic concept of this method is to find the weighted sum of the performance ratings for each alternative for all attributes. In the results of manual and system calculations, the SAW and TOPSIS methods produce the same ranking. In the SAW method, the highest-ranking of laptops is obtained by Acer Swift 3 (SF314-56G) with a value of 0.977 and on smartphones, the highest score is obtained by the Samsung Galaxy M51 with a value of 1. In the TOPSIS method, the highest-ranking is obtained by a laptop with a value of 0.9507 and a smartphone with a value of 1.Keywords:Notebook; SAW; Decision Support System; Smartphone; TOPSIS.


SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Rani Irma Handayani ◽  
Normah Normah ◽  
Deni Wironoto

PT. Mahadana Wikasita is a company engaged in the sale of machine goods and pos cashier tools. In order to face business competition there are some problems that often arise regarding the sale of goods. PT. Mahadana Wikasita is lacking in monitoring the goods sold, what items consumers need and the storage of data is less effective, so the company can not determine exactly which goods to buy. Therefore, a decision support system is needed that can help solve this problem. In this research, the decision support system used is by Techinique for Order Reference by Similarity to Ideal Solution (TOPSIS) which consists of seven stages using several criteria such as price, type, quality and customer interest. In the test results calculated using the Method For Order Preference bySimiliarity to Ideal Solution (TOPSIS) it can be concluded that the highest value is kios Pakmo mobile cashier application package with a value of 0.920, can be interpreted as the best selling item for one year.


2020 ◽  
Vol 7 (2) ◽  
pp. 76-81
Author(s):  
Haris Widjaja ◽  
Ririn Ikana Desanti

The desire to have a dream house makes people consider of the criteria of the house they will be lived. Many developers offer a variety of house alternatives ranging from price, location, design, building area and land area. Customers are pleased to choose their dream house as their desired. Based on that situation, this research is conduct to create a web-bases application for home selection that consider the useful criteria to help consumers choose a decent home by using the Technique for Order of Preference by Similarity To Ideal Solution (TOPSIS) method. The TOPSIS method has the concept that the best alternative has the shortest distance from a positive ideal solution and also has the farthest distance from a negative ideal solution. This TOPSIS method is applied to provide recommendations on the choice of home decisions in the South Tangerang area based on predetermined criteria. The results obtained in the TOPSIS calculation are the housing recommendations that are closest to the value of the calculation result.


2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Hardianto Djanggih ◽  
Hardianto Djanggih ◽  
Aan Aswari

Employees are the backbone of corporate activities and the giving of bonuses, job titles and allowances to employees to motivate the work of employees is very necessary, salesman on the company very much and to find the best salesman cannot be done manually and for that required the implementation of a system in this decision support system by applying the TOPSIS method, it is expected with the implementation of TOPSIS method the expected results of top management can be fulfilled.


2021 ◽  
Vol 10 (1) ◽  
pp. 52-58
Author(s):  
Wahyuni Eka Sari ◽  
Muslimin B ◽  
Selvia Rani

SMK TI LABBAIKA provides scholarships every semester to students who meet the requirements. The selection process still uses the manual method based on the Headmaster's knowledge. The suitable decision support systems and methods are needed to minimize errors in decision making and get fair decision results. In this study, two decision support system methods were chosen, namely Simple Additive Weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The SAW and TOPSIS methods were chosen because they have simple calculations. A comparison of the two methods is carried out to determine the best method for selecting scholarships. The criteria used in this study are student status, number of family members, parent's occupation, parent's income, and semester grades. The 20 alternative data is used for testing. Based on the results of testing the accuracy for the SAW method is 45% while for TOPSIS is 60%.


2021 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Sahat Sonang S ◽  
◽  
Arifin Tua Purba ◽  

Reward is a form of appreciation received by an individual for the achievement of a work performance that aims to motivate the individual to have high productivity. In managerial terms, giving a warning is a good and reasonable thing to do by the leader to his subordinates. Likewise with the Private Vocational School 1 HKBP Pematangsiantar. This research was conducted to provide solutions to problems that occur through the design of a decision support system software for giving the best teacher reward with the Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) method with assessment components including (1) discipline, (2) involvement, (3 ) attendance, (4) leadership, (5) training and (6) social. The Decision Support System for providing teacher rewards is able to accommodate subjective problems, lack of transparency, and doubts about its accuracy and the output is very credible. Thus the decision-making process for giving the best teacher reward is efficient, effective and objective and can be used as a recommendation for school principals in determining which teachers deserve rewards. From the 10 data samples used, the results of the analysis using the Decision Support System show that the highest recommendation value is 0.7149 on behalf of A8, while the lowest recommendation value is 0.2851 on behalf of A10. Recommendation, DSS, TOPSIS, Reward


2017 ◽  
Vol 1 (1) ◽  
pp. 54
Author(s):  
Masitah Handayani

Abstract - During this time in the village of Mekar Sari in making decisions for Raskin revenue still using manual methods. The problem is the difficulty in storing or searching the archives that have been stored, as well as the problem of making late reports that also hamper the delivery of information. Many families should not get Raskin but receive raskin too, on the contrary for poor families who should get Raskin but not get it. this research was conducted with the aim of developing a decision support system application that facilitates the parties to make decisions in the selection of poor families who are entitled to receive Raskin in Mekar Sari Dusun Village. The method used in system development is the TOPSIS method, where the topsis method is is one of the decision making methods where the chosen alternative is the best alternative that has the closest distance from the positive ideal solution and the farthest from the negative ideal solution. Keywords - Raskin, decision support system, TOPSIS.


2019 ◽  
Vol 2 (1) ◽  
pp. 26-39
Author(s):  
Melda Agarina ◽  
Tria Devi Miranti ◽  
Sutedi Sutedi

Staf of sales are the main supporters of a company engaged in distribution. One way company leaders to motivate sales salespeople who have the high ability and morale to do their jobs in the form of annual bonuses to sales staff that are in accordance with the work performance produced. Bonuses can be a driver for companies to show better performance. CV Anugerah Jaya Sentosa Lampung still looks inaccurate because it was not used criteria that should be determinant of decision making. For this reason, researchers agree on a support system that is able to be able to solve the agreed problem. The design of this decision support system was made using the PHP and Java Netbeans programming languages, and the method used was the TOPSIS method. TOPSIS will help the calculation in decision making of alternatives based on distance to positive solutions and distance to negative solutions by taking relative proximity to ideal  solution. Using the TOPSIS method can provide companies in determining who are the recipients of annual prizes to sales staff. Keywords: Decision Support System, TOPSIS, Rewards


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