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 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 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 Penerapan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Perangkat Pribadi

2020 ◽  
Vol 5 (2) ◽  
pp. 195
Author(s):  
Amalia Khansa ◽  
Fauziah Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
A Value ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
The Many

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.

scholarly journals Analisis Pemilihan Marketplace Terbaik pada Masa Pandemi COVID-19 Menggunakan Metode Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) dan Weighted product (WP)

2021 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Zahra Wafda Syamila ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Online Media ◽  
Ideal Solution ◽  
Weighting Method ◽  
A Value ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
Topsis Technique

Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.

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

scholarly journals ANALISIS PERBANDINGAN METODE WEIGHTED PRODUCT (WP) DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK PENDUKUNG KEPUTUSAN PEMILIHAN BIRO PERJALANAN PARIWISATA

Compiler ◽  
2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Ryzal Pradito ◽  
Yuliani Indrianingsih
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Product Method ◽  
Simple Additive Weighting

Decision Support System (DSS) is a system that helps managers to solve a semi-structured problem. There are techniques used to make the DSS, one of them is Fuzzy Logic Multi Criteria Decission Makaing (MCDM). Weigthed Product Method (WP) and Single Additive Weighting Method (SAW) is a method to solve the problem using multiplication to connect the atribute ratings, where rating attributes must be raised first with the weight relevant attributes weights. The applications results show comparison WP methods and SAW methods is closer to the value 1, so that the SAW method is the most appropriate method to solve the problem of the selection a trvel agency tourism.

scholarly journals Perbandingan Metode SAW dan Topsis pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa

2021 ◽  
Vol 10 (1) ◽  
pp. 52-58
Author(s):  
Wahyuni Eka Sari ◽  
Muslimin B ◽  
Selvia Rani
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Selection Process ◽  
Ideal Solution ◽  
Manual Method ◽  
Status Number ◽  
Simple Additive Weighting

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%.

scholarly journals Sistem Pendukung Keputusan Penerima Reward Tahunan Pada Sales Penjualan Menggunakan Metode Technique for Order Preference by Similarity to Ideal Solution ( TOPSIS ) di CV. Anugerah Jaya Sentosa Lampung (Studi Kasus: CV. Anugerah Jaya Sentosa Lampung

2019 ◽  
Vol 2 (1) ◽  
pp. 26-39
Author(s):  
Melda Agarina ◽  
Tria Devi Miranti ◽  
Sutedi Sutedi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Work Performance ◽  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Sales Staff

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

Sign in / Sign up

Export Citation Format

Share Document