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 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 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%.

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 Decision Support System For Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method In PT. Mayatama Solusindo

2020 ◽  
Vol 2 (1) ◽  
pp. 7-13
Author(s):  
Yuda Irawan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Program Implementation ◽  
System Development ◽  
Employee Performance ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Analysis System

Decision Support System is a computerized system designed to increase effectiveness in decision making to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. One method of solving MADM problems is by using the Simple Additive Weighting method. The SAW method is to find the weighted sum of the performance ratings for each alternative of all attributes. This study aims to design and create a system to determine which employees are entitled to receive bonuses, for that we need a decision support for giving employee bonuses decisions. In this study using the Simple Additive Weighting method. The system development model used is a waterfall. Waterfall has several stages, namely needs analysis, system design, writing program code, program testing, program implementation and maintenance. The results showed the benefits of the SAW method as a decision support system for determining employee bonuses based on the employee performance of PT. Mayatama Solusindo can assist administrators in determining employee bonuses quickly and effectively. So the bonus that employees get using the SAW method is the basic salary times the percentage of the ranking value.

scholarly journals Sistem Pendukung Keputusan Dengan Simple Additive Weighting Dalam Pemilihan Calon Penerima Bantuan Rumah Tidak Layak Huni

2019 ◽  
Vol 10 (2) ◽  
pp. 110-119
Author(s):  
Sudin Saepudin ◽  
Dudih Gustian ◽  
Heri Firmansyah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
The Right ◽  
The Village ◽  
The Town

Bantuan rumah tidak layak huni adalah salah satu program pemerintah untuk menekan angka kemiskinan di Indonesia, namun permasalahan yang ada bahwa proses yang selama ini dilakukan oleh pihak Kelurahan masih dilakukan secara subyektif dengan hanya mempertimbangkan hasil survey. Oleh karena itu, bagi pihak kelurahan diperlukan suatu sistem pendukung keputusan agar seleksi dapat dilakukan secara efisien secara sistemik.  Adanya metode Multiple Attribute Decission Making, menjawab semua permasalahan tersebut. Dari beberapa metode Multiple Attribute Decission Making, Simple Addictive Weighting dipilih untuk diterapkan kedalam sistem pendukung keputusan. Sistem pendukung keputusan dibuat menggunakan metode air terjun. Tujuan penelitian ini agar pihak kelurahan dapat menyalurkan bantuannya kepada yang berhak menerimanya, sehingga dengan adanya sistem pendukung keputusan berbasis web untuk memilih penerima bantuan perumahan sesuai dan objektif.  Penelitian ini memberikan hasil yang cukup akurat dimana proses penyaluran yang tepat sasaran dengan data yang diperoleh dari pihak kelurahan. Sistem yang dibuat cukup memnatu pihak kelurahan dengan nilai sekitar 73.6% yang diuji oleh 10 orang responden.   Kata Kunci: Rumah Tidak Layak Huni, Multiple Attribute Decission Making, Simple Addictive Weighting, Sistem Pendukung Keputusan.     Abstract The help of the home is not habitable is one of the government programs to suppress the poverty rate in Indonesia, but the problem exists that the process that was done by the village is still in subjectively Consider the survey results. Therefore, the town needs a decision support system so that the selection can be made by systemic efficiency. There is a method of Multiple Attribute Decision Making, answering all the problems. Of the multiple Attribute Decision-Making methods, Simple Addictive Weighting is chosen to be applied to the decision support system. The decision support system was made using a waterfall method. The purpose of this research is so that the village can distribute its help to the right to receive it, so it is expected by the Web-based decision support system to select the recipient of appropriate and objective housing assistance. This research provides entirely accurate results were the right distribution process targets with data obtained from the village. The system was made enough to inform the town with a value of about 73.6% tested by ten respondents.   Keywords: Unqualified Houses, Multiple Attribute Decision Making, MADM, Simple Additive Weighting, Decision Support Systems.

scholarly journals IMPLEMENTASI MULTI CRITERIA DECISION MAKING MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PROMOSI KENAIKAN JABATAN

2020 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Eddy Kurniawan ◽  
Achmad Miftakhul Ilmi ◽  
Nufan Balafif
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Distribution Center ◽  
Assessment Process ◽  
Multi Criteria Decision Making ◽  
Weighting Method ◽  
Computer Based ◽  
Simple Additive Weighting ◽  
Alternative Decision ◽  
Employee Data

Telkomsel Distribution Center (TDC) Jombang has problems in promoting employees to fill the Supervisor (SPV) and Branch Manager (BM) positions. TDC Jombang has several assessment criteria for employees to be able to fill SPV and BM positions. But in the assessment process, each criterion still tends to be subjective. In making decisions based on several criteria, a Multi-Criteria Decision Making (MCDM) approach can be used by applying the method that is considered most appropriate to produce the best alternative decision recommendations. This study aims to provide the best solution by implementing the Multi-Criteria Decision Making approach using the SAW (Simple Additive Weighting) method which will be programmed in a computer-based decision support system (SPK). The SAW method was chosen because it can weigh the values on each attribute and rank to get the best alternative recommendations. The data used are Jombang TDC employee data. From this study, it was obtained that the use of the SAW method programmed in the SPK succeeded in presenting information comparing the value of preferences between candidates. Candidates with the highest preference value are the most recommended alternatives to choose

scholarly journals Penentuan Kelayakan Jagung Biji Untuk Pakan Ternak Dengan Metode Fuzzy Saw

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 79-84
Author(s):  
Widiarti Rista Maya ◽  
Ahmad Fitri Boy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Raw Material ◽  
Decision Making Process ◽  
Weighting Method ◽  
Long Time ◽  
Simple Additive Weighting

Abstract: In the decision making process of the feasibility of corn raw materials so far only see the physical raw materials tend to be subjective so that in the decision making process of the feasibilityof corn raw materials must take a long time , sometimes the decision taken is not appropriate so that this needs to be addressed again for the feasibility of corn raw materials. From the description above need to be made an auxiliary program for decision support system by using fuzzy SAW ( Simple Additive Weighting ) method in determining corn raw material that is acceptable to PT. Charoen Phokpand Indonesia. Program which will be made more to assist manager or staff in taking decision and not replace it. The results of this study are expected to assist managers or staff in making decisions for the process of assessing the feasibility of corn raw materials in PT. Charoen Phokpand Indonesia so as to improve the quality of human resources. Keywords: corn raw materials, decision support system, fuzzy saw method Abstrak: Dalam proses pengambilan keputusan kelayakan bahan baku jagung selama ini hanya melihat fisik bahan baku yang cenderung subjektif sehingga dalam proses pengambilan keputusan kelayakan bahan baku jagung harus membutuhkan waktu yang cukup lama, terkadang keputusan yang diambil tidak tepat sehingga hal ini perlu dibenahi lagi untuk proses pengambilan keputusan kelayakan bahan baku jagung. Dari uraian diatas perlu dibuat suatu program bantu untuk sistem pendukung keputusan dengan menggunakan metode fuzzy SAW (Simple Additeve Weighting) dalam menentukan bahan baku jagung yang layak diterima pada PT. Charoen Phokpand Indonesia. Program yang akan dibuat lebih bersifat untuk membantu manager atau staff dalam pengambilan keputusan dan bukan menggantikannya. Hasil dari penelitian ini diharapkan dapat membantu manager atau staff dalam mengambil keputusan untuk proses penilaian kelayakan bahan baku jagung pada PT. Charoen Phokpand Indonesia sehingga dapat meningkatkan kualitas sumber daya manusia. Kata kunci: Bahan baku jagung, Sistem Pendukung Keputusan, metode fuzzy SAW

scholarly journals Sistem Pendukung Keputusan Pemilihan Lembaga Bimbingan Belajar Berdasarkan Pendapatan Orang Tua dengan Metode Simple Additive Weighting

2021 ◽  
Vol 2 (2) ◽  
pp. 89-97
Author(s):  
Fitri Yanti ◽  
Tonni Limbong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Problem Solving ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Weighting Method ◽  
The Road ◽  
Multiple Attribute ◽  
The World ◽  
Simple Additive Weighting

Tutoring institutions are non-formal institutions engaged in the world of education. the number of tutoring institutions that have sprung up nowadays, making competition increasingly fierce causing parents to be selective in choosing however. This is what sometimes makes parents confused about choosing a tutoring institution that suits their income, causing breakups in the middle of the road because they are not in accordance with their income. In a decision support system, the application of a method that can be used as a reference for problem solving must be carried out. In this case, the method used is the Simple Additive Weighting Method (SAW) which is one of the methods used in problem solving in Fuzzy Multiple Attribute Decision Making (FMADM).

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 SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dicky Hartama Sinaga ◽  
Heru Satria Tambunan ◽  
Jalaluddin Jalaluddin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Storage ◽  
Support System ◽  
User Involvement ◽  
Weighting Method ◽  
Multi Attribute Decision Making ◽  
Computer Based ◽  
Simple Additive Weighting

Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor

Sign in / Sign up

Export Citation Format

Share Document