scholarly journals Implementation of the Simple Additive Weighting Method in Determining Centroids in the Process of Clustering the Poor in Kakatpenjalin Village, Lamongan Regency

2021 ◽  
Vol 5 (2) ◽  
pp. 85-93
Author(s):  
Arifan Dwi Maulana ◽  
Indra Gita Anugrah
Keyword(s):  
Decision Support ◽  
Weighting Method ◽  
Related Research ◽  
Cluster Centre ◽  
The Poor ◽  
Simple Additive Weighting ◽  
The Right ◽  
Data Group ◽  
Good Cluster ◽  
Selection Of

Clustering is an algorithm in a decision support system that functions to organize an object into groups of data. In the clustering process, of course, a cluster centre is needed by the desired data group. However, the clustering process has a problem. Related research states that the results of k-means clustering can influence the selection of cluster centre points. Random selection of cluster centre points can result in different clustering results in the same data group. Not only on k-means, but k-medoids also have the same problem. So that to produce a good cluster, you must start by choosing the right cluster centre. To solve this problem, the Simple Additive Weighting method is used to select the centre point of the cluster. Simple Additive Weighting selects the centre point of the cluster by adding and summarizing the dataset. The summation is done by giving weight to each criterion and each criterion has its alternative value. From this weighted addition, the final value will be obtained. From the sum of SAW, then one of the objects with the highest and lowest values ​​can be taken to serve as the centre of the cluster.

scholarly journals Simple Additive Weighting for Decision Support Selection of Expedition Services

SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 115
Author(s):  
Suhar Janti ◽  
Mohammad Adriansyah ◽  
Ghofar Taufik
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Service Provider ◽  
Service Providers ◽  
Weighting Method ◽  
A Value ◽  
Simple Additive Weighting ◽  
Freight Forwarding ◽  
The Right ◽  
Selection Of

Freight forwarding services are increasingly developing and each delivery service provider competes to provide the best service, resulting in competition in terms of price and delivery time, in order to attract the attention of users of shipping services. The number of service providers with various types of packages offered by freight forwarding services, making users difficult in determining the right service provider. One way to overcome this problem is by the existence of a method that can provide recommendations as consideration for making appropriate decisions. This study aims to create a decision support system for the selection of goods delivery services by applying the Simple Additive Weighting method that can solve problems by comparing between shipping services. The results of this study are in the form of conclusion calculations that can be taken into consideration for decision making in choosing the most widely chosen freight forwarding services for students and getting the best results in decision making. The results of calculations using the Simple Additive Weighting method, the highest value based on time criteria is JNE YES with a value of 0.73, based on price criteria is a vehicle with a value of 0.68, based on the weight criteria is JNE YES with a value of 0.75, while based on the volume criteria the highest value is a vehicle with a value of 0.70 .

scholarly journals SISTEM PENUNJANG KEPUTUSAN PEMILIHAN PENGURUS INTI DAN ANGGOTA BARU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS WEBSITE (STUDI KASUS: HIMPUNAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS PALANGKA RAYA)

2019 ◽  
Vol 13 (1) ◽  
pp. 58-67
Author(s):  
Licantik Licantik ◽  
Widiatry Widiatry ◽  
Pebriana Lorenza
Keyword(s):  
Engineering Students ◽  
Test Results ◽  
Decision Matrix ◽  
Weighting Method ◽  
New Members ◽  
Suitability Assessment ◽  
The Matrix ◽  
Simple Additive Weighting ◽  
The Right ◽  
Selection Of

Informatics Engineering of Palangka Raya University have an organization that called Himpunan Mahasiswa Teknik Informatika (HMTI). Problems that are often encountered in a set one of them is in taking the best choice for candidates for core management and membership in each new management period. Another obstacle faced is in making decisions not using methods that can handle these problems with many criteria. The number of considerations certainly has the hope of obtaining good human resources for the set, it's just that sometimes it becomes a difficulty for the old management to take the best choice for the right successor candidate and in accordance with the position and division in the set so that a container is needed to bridge these activities so that they can run well and effectively. The methodology used in the development is by simple additive weighting method and Waterfall According to Sommerville. simple additive weighting method has 4 steps that is determine the criteria, determine the suitability assessment, make a decision matrix based on criteria (Ci) then normalize the matrix, then summarize the multiplication of the R atomized matrix with the increase vector, get the large value chosen as the best (Ai) as a solution.From the test results it can be concluded that the decision support system website for the selection of core managers and new members using the simple additive weighting method at the Collection Informatics Engineering Students of Palangka Raya University is going well

scholarly journals DESIGN AND ANALYSIS OF DECISION SUPPORT INFORMATION SYSTEM TO DETERMINE THE PRIORITY OF SELECTING NATURAL DISASTER BARRACK POLICIES WITH THE FUZZY SIMPLE ADDITIVE WEIGHTING METHOD

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Muh Wahid Anshori Riza
Keyword(s):  
Information System ◽  
Decision Support ◽  
Information Systems ◽  
Natural Disaster ◽  
Uneven Distribution ◽  
Weighting Method ◽  
Fuzzy Method ◽  
Disaster Area ◽  
Simple Additive Weighting ◽  
Selection Of

The lack of a disaster information system nowadays has made it difficult to find out information in the disaster area. Making information systems in disaster areas is important to solve the problem of uneven distribution of aid provided at each barrack. Because the conditions of each barrack are different, a system is needed to determine the priority for selecting disaster. To be able to determine the recommendations for the selection of disaster barracks, this study uses the Fuzzy Simple Additive Weighting (Fuzzy SAW) method, uses fuzzy method to determine the input basis value to SAW [3]. With the implementation of the Fuzzy SAW method, the results of this study can provide recommendations for Badan Penangguangan Bencan Daerah (BPBD) of Malang to determine the priority of disaster barracks that can take precedence.

scholarly journals Decision Support System Selection of Best Employee At PT. Intiberkah Sinar Sejahtera Using Simple Additive weighting MethodDecision Support System Selection of Best Employee At PT. Intiberkah Sinar Sejahtera Using Simple Additive weighting Method

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Feri Sahputra ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Ethical Criteria ◽  
System Selection ◽  
Selection Of

The problem of PT. Sinar Sejahtera Intiberkah are still many employees of PT. Intiberkah Sinar Sejahtera especially the logistics employees who are critical to the company that should be worthy to obtain as the best employees but until now there has been no employees at the logistics become the best employee in the company of PT. Sinar Sejahtera Intiberkah tersebut.Oleh Therefore, in this study used a decision support system that can be used to help the PT. Intiberkah Sinar Sejahtera in determining the eligible employees in the selection of the best employees, there are four criteria taken in these elections is the first no ethical criteria, these criteria related to attitudes and ways of speaking with courtesy to superiors.

Development of SAW (Simple Additive Weighting) Method for Decision Support System of Sembako Price Control

2019 ◽  
Vol 1 (1) ◽  
pp. 34-41
Author(s):  
Sri Wulandari ◽  
Adityo Permana Wibowo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Food Prices ◽  
Price Control ◽  
Weighting Method ◽  
Method Of Calculation ◽  
Simple Additive Weighting ◽  
Entity Relationship Diagram ◽  
The Right ◽  
Alternative Solutions

The Supporting System The decision to control basic food prices at the fisheries and forestry service is a system designed to assist relevant agencies in seeing prices of basic necessities which tend to increase at any time. At first the relevant agencies do recap calculations by storing data and still counting manually, so it requires a longer time, with the existence of this system it is expected to be able to help and provide solutions for consideration of decision making in accordance with the right calculations. The decision support method of calculation used is the SAW method that takes the greatest value to be used as a decision-making ranking. In addition, other methods used are data collection methods by observation and interviews to identify problems in developing support systems for basic food price control decisions. Model design is described using data flow diagrams (DAD) and entity relationship diagram (ERD). The system developed is able to record, calculate and provide alternative solutions effectively for relevant agencies. With this system, agencies are expected to be able to process the calculation of basic food prices better, select more accurate decisions, and take more effective alternative solutions.

scholarly journals Decision Support System for Electrical Power Selection to Household Users

2017 ◽  
Author(s):  
Robbi Rahim ◽  
Heri Nurdiyanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Electrical Power ◽  
Electrical Energy ◽  
Weighting Method ◽  
The Government ◽  
Simple Additive Weighting ◽  
Home Users ◽  
Selection Of

The need of home electricity every year is increasing rapidly with the increasing number of housing built either for middle to upper class or also middle to lower, for middle class down electricity usage is inversely with income per month so happened name of arrears electricity or even the theft of electric current to cover the requirement of electricity Households, and this is definitely illegal, household electrical power ranging from 450 - 1300 VA can use for home use with subsidies given by the government in 900 VA, the selection of power usage for home users can help by applying decision support system using Simple Additive Weighting method to determine the electrical energy of home users based on user criteria so those home users can ascertain the amount of power that used

scholarly journals Implementation of Simple Additive Weighting Method in Evaluating Employee Performance for Job Promotion Recommendations

Webology ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 123-132
Author(s):  
Jeperson Hutahaean ◽  
Seri Suriani ◽  
Supriy anto ◽  
Harma yani ◽  
Muhammad Amin ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Research Assessment ◽  
Weighting Method ◽  
Education Experience ◽  
Simple Additive Weighting ◽  
The Right

The implementation of decision support system tools in providing decision support for management is absolutely necessary. In its application, this aims to make the decision effective so that the decisions produced can be objective. This research discusses employee performance appraisal by implementing a decision support system. Many methods of decision support systems that can be used to rank, but in this study, the authors use the ranking method known as Simple Additive Weighting (SAW). The SAW method works by summing the weighted attributes that are interrelated. This method is quite simple and is able to provide the right decisions for employees who have the best performance to be recommended in job promotions. In this research, assessment attributes are used, namely education, experience, expertise, collaboration, work quality, and discipline. The final results show that employees on behalf of Ferdinal have the highest value with a value of 0.850.

scholarly journals Higher Education Selection using Simple Additive Weighting

2018 ◽  
Vol 7 (2.27) ◽  
pp. 211 ◽  
Author(s):  
Nur Aminudin ◽  
Miftachul Huda ◽  
Ahmad Kilani ◽  
Wan Hassan Wan Embong ◽  
Ahmad Marzuki Mohamed ◽  
...  
Keyword(s):  
Higher Education ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Job Demands ◽  
The Public ◽  
Simple Additive Weighting ◽  
The Many ◽  
The Right ◽  
Selection Of

The process of selecting a college should be based on the capabilities and needs of the community. When society is faced with a large selection of college criteria and most societies are confused about choosing the appropriate college for themselves and the job demands. From this it was made a decision support system aimed at helping the community to choose a college that suits the ability and demands of the work. Decision support system plays a role in helping people get the right recommendations in the selection of universities. This decision support system is also designed to help the community to choose a college that suits their needs so that the public is not confused because of the many criteria of universities faced by the community because the admin already has recommendations according to the needs of the community by using Simple Additive Weighting (SAW) method.

scholarly journals Perbandingan Metode SAW, WP Dan Topsis Dalam Penentuan Pembiayaan

2019 ◽  
Vol 4 (2) ◽  
pp. 88-94
Author(s):  
Dede Supiyan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Weighting Method ◽  
Product Method ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
The Right

Decision support system is the composition of a computer-based information system that functions as a supporter of decision making in an organization or company. Decision making in determining the provision of financing is very important because with the right decision the provision of financing can run well. Decision making method is useful for determining the best alternative from a number of other alternatives based on certain criteria, including the simple additive weighting method, Weighted Product and Technique For Order Preference by Similarity to Ideal Solution. A comparison of the methods of this decision support system is carried out to determine which method provides the highest accuracy value of the financing data for the El-Raushan BMT cooperative. Based on comparison of the SAW Method, Weighted Product and TOPSIS methods show that the Weighted Product method is more accurate than the simple additive weighting method Technique For Order Preference by Similarity to Ideal Solution. Judging from the value of the accuracy of the three methods with the highest accuracy WP (Weighted Product) method with an accuracy value of 94%.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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