PERANCANGAN SPK KELAYAKAN PENERIMA KREDIT PADA DISKOPUKM PROVSU MENGGUNAKAN METODE TOPSIS

2019 ◽  
Vol 3 (1) ◽  
pp. 36-45
Author(s):  
Mhd Arief Ansyari ◽  
Mhd. Zulfansyuri Siambaton
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Point Of View ◽  
Ideal Solution ◽  
Shortest Distance ◽  
Geometric Point ◽  
Savings And Loan ◽  
Relative Proximity ◽  
Negative Ideal Solution ◽  
North Sumatra

The Happy Savings and Loan Cooperative is one of the non-bank financial institutions in the form of cooperatives that serve the needs of its members in lending services with collateral in the form of member deposits, land or building certificates, books for motorized or automobile owners (BPKB) with the aim of providing services and facilities for candidates creditors in the economy. needs Lending funds to prospective creditors must also with the approval of the head of the cooperative / cooperative council. The agreement generally requires considerations such as analyzing the ability to pay prospective creditors. Because each prospective creditor has different economic conditions, it must be observant in making decisions. In determining whether a loan recipient is appropriate or not, there must be an assessment of the criteria established as a reference for decision making. TOPSIS is one of the multi-criteria decision-making methods first introduced by Yoon and Hwang (1981). TOPSIS uses the principle that the chosen alternative must have the shortest distance from the positive ideal solution and the longest distance (the farthest) from the negative ideal solution from a geometric point of view using the Euclidean distance (distance between two points) to determine the relative proximity of an alternative to the optimal solution. Keywords: TOPSIS, Decision Support System, North Sumatra Cooperative

Sistem Pendukung Keputusan Pemberian Jumlah Pinjaman Kepada Calon Nasabah Bumdes Menggunakan Metode Topsis (Studi Kasus Bumdes Gergas Mandiri Kecamatan Wampu)

2021 ◽  
Vol 1 (2) ◽  
pp. 76-82
Author(s):  
Dwi Krisma Wati
Keyword(s):  
Decision Support ◽  
Financial Institution ◽  
Optimal Solution ◽  
Ideal Solution ◽  
Unequal Distribution ◽  
Savings And Loan ◽  
Relative Proximity ◽  
Negative Ideal Solution ◽  
Loan Amount

The development of the savings and loan business is currently growing rapidly as a financial institution in alleviating poverty . BumDes is a business owned by a village or sub-district that is engaged in lending or channeling funds to people who need to develop their business. The BUMDes conducts deliberation meetings in determining loan granting. There is often disagreement between the parties that will borrow. This resulted in unequal distribution of loans to BUMDes members. Although the determination of the granting of the loan amount is fully determined by the BUMDes However, this Decision Support System will display the highest to lowest priorities of the prospective customer , so that it will facilitate and assist the BUMDes in making decisions. TOPSIS uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest distance (farthest) from the negative ideal solution to determine the relative proximity of an alternative to the optimal solution.

scholarly journals Analysis and Design of Decision Support System Systems in Choosing the Best Supplier Using the TOPSIS Method at PT. Bintang Putra Mandiri

Tech-E ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Kelvin Tri Tama ◽  
Andi Leo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Optimal Solution ◽  
Point Of View ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analysis And Design ◽  
Geometric Point ◽  
Negative Ideal Solution

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

scholarly journals Implementation of topsis algorithm for evaluating lecturer performance

2018 ◽  
Vol 1 (1) ◽  
pp. 18 ◽  
Author(s):  
Fatkhurrochman Fatkhurrochman ◽  
Kusrini Kusrini ◽  
Hanif Alfatta
Keyword(s):  
Performance Evaluation ◽  
Preference Score ◽  
Point Of View ◽  
Specific Method ◽  
Main Task ◽  
Ideal Solution ◽  
Geometric Point ◽  
Relative Proximity ◽  
Alternative Means ◽  
Negative Ideal Solution

Higher education is an education unit that able to carry out academic, professional and / or vocational programs. Lecturers are professional and scientific educators with the main task of transforming and developing, and disseminating science, technology and art through education, research and community service. The performance evaluation applies seven criterias, namely: attendance, teaching, research, dedication, loyalty, cooperation and responsibility. The problems are; the lecturers’ performance evaluation is not optimal yet because there is no specific method to implement it. Therefore, it is necessary to build a decision support system by applying the Technique For Others Reference by Similarity to Ideal Solution (TOPSIS). This system will later help us in determining the best lecturer in accordance with the regulation. The TOPSIS method uses the principle that the chosen alternative must have the longest (farthest) distance from the negative ideal solution from geometric point of view using the relative proximity of an alternative. The alternative means the lecturers’ performance with predetermined criterias. This method produces a lecturers rankings based on the best performance on numerical scores and sorted by the greatest preference scores. The particular study used 5 lecturers as alternative to be tested. They were Lecturers 1, Lecturers 2, Lecturers 3, Lecturers 4, and Lecturers 5. The results showed that Lecturer 1 was the best lecturer with the biggest preference score of 0.612.

scholarly journals Perbandingan Metode TOPSIS Dan SAW Dalam Penentuan Guru Berprestasi

2019 ◽  
Vol 5 (1) ◽  
pp. 29-34
Author(s):  
TITIN PRIHATIN
Keyword(s):  
Middle School ◽  
Point Of View ◽  
Weighted Sum ◽  
Ideal Solution ◽  
Topsis Method ◽  
Weighted Sum Method ◽  
Geometric Point ◽  
Negative Ideal Solution ◽  
Simple Additive Weighting

- Determination of outstanding teachers at Pondok Duta Islamic Middle School has been applied every year. This process is very important to improve the quality of human resources in the progress of Pondok Duta Islamic Middle School. In its implementation, the determination of teachers with pretensions is still considered subjective, because it is only based on personal opinions and is not based on certain criteria. The Simple Additive Weighting (SAW) method is often known as the weighted sum method. The basic concept of the method of Simple Additive Weighting (SAW) is to find a weighted sum of performance ratings on each alternative on all attributes. While the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method uses the principle that the chosen alternative must have the longest (farthest) distance from the negative ideal solution from a geometric point of view using the relative proximity of an alternative. The two methods, namely the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method and the Simple Additive Weighting (SAW) method can help in the process of determining the teacher to be prescribed who recommend results based on the main criteria that have been determined.

A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application

2014 ◽  
Vol 13 (05) ◽  
pp. 957-978 ◽  
Author(s):  
Deniz Okul ◽  
Cevriye Gencer ◽  
Emel Kizilkaya Aydogan
Keyword(s):  
Decision Making ◽  
Drug Benefit ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Inaccurate Information ◽  
Real World Application ◽  
Shortest Distance ◽  
Order Preference ◽  
Negative Ideal Solution

Stochastic multi-criteria acceptability analysis (SMAA-2) and the technique for order preference by similarity to ideal solution (TOPSIS) are methods for evaluating alternatives with multiple criteria. SMAA is a method that is used for solving multi-criteria decision-making problems with uncertain, inaccurate information, and does not require preference information from the decision makers. The TOPSIS method is based on the principle of determining a solution with the shortest distance to the ideal solution and the greatest distance from the negative-ideal solution. This paper proposes a new method, SMAA-TOPSIS, by combining the SMAA and TOPSIS methods. The SMAA-TOPSIS method was executed for two problems: drug benefit-risk analysis and machine gun selection. This paper found that TOPSIS could be used with uncertain and arbitrarily distributed values for weights and criteria measurements by using a combination of SMAA and TOPSIS. Also, we obtained clearer and consistent SMAA outputs.

A New Index for TOPSIS based on Relative Distance to Best and Worst Points

2020 ◽  
Vol 19 (03) ◽  
pp. 695-719
Author(s):  
S. A. Sadabadi ◽  
A. Hadi-Vencheh ◽  
A. Jamshidi ◽  
M. Jalali
Keyword(s):  
Decision Making ◽  
Similarity Index ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Relative Distance ◽  
Ideal Solution ◽  
Topsis Method ◽  
Numerical Examples ◽  
Shortest Distance ◽  
Negative Ideal Solution

The technique for order performance by similarity to ideal solution (TOPSIS) is one of the most well-known methods in multiple criteria decision making (MCDM) problems. The classical TOPSIS method employs a similarity index to rank alternatives. However, the chosen alternative sometimes does not have the shortest distance to the positive ideal solution (PIS) and remotest distance from the negative ideal solution (NIS), simultaneously. Besides, in some cases, TOPSIS cannot assign a unique rank to alternatives. The purpose of this paper is to propose a new similarity TOPSIS index based on the relative distance to the best and worst points. In the proposed method, by treating the separations of an alternative from the PIS and the NIS as negative criterion and positive criterion, respectively, we reduce the original MCDM problem to a new one with two criteria. The proposed index, based on different weights, in optimistic, pessimistic, and apathetic cases, easily determines the score of each alternative. Finally, we illustrate the proposed index using four numerical examples. The results are compared with those published in the literature.

scholarly journals SISTEM PENUNJANG KEPUTUSAN KRITERIA BEASISWA MENGGUNAKAN RULE BASED DAN FORWARD CHAINING

SAINTEKBU ◽  
2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Nurul Azizaturrizqiyah ◽  
Munawarah ◽  
Tholib Hariono
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Ideal Solution ◽  
Decision Matrix ◽  
Counting System ◽  
Rule Based ◽  
Forward Chaining ◽  
Relative Proximity ◽  
Negative Ideal Solution ◽  
The Many

It is known in the selection of the scholarship will certainly experience difficulties because of the many criteria for scholarship applicants and the number of criteria used to determine the grantee's decision as expected. Therefore the need for a system of decision-makers to take into account all the criteria that support decision making by using rule-based and forward chaining, because the rule-based and forward chaining will implement a counting system for certain that the admin just entering data and will gain value in accordance with the criteria.In this study, the author tries to analyze the main points of the discussion and the results are intended to develop information systems that can be used in AMIK Jombang. System decision makers have preferred to build a decision matrix, decision making matrix is normalized, weighted normalized decision making matrix, determine the positive and negative ideal solution, calculate separation, calculate the relative proximity to the positive ideal solution, rank the alternatives. The final result of the data sorting recipients. Keywords: scholarships, rule based dan forward chaining

scholarly journals Measuring sustainable development in the education area using multi-criteria methods: a case study

2019 ◽  
Vol 28 (4) ◽  
pp. 1219-1241 ◽  
Author(s):  
Ewa Roszkowska ◽  
Marzena Filipowicz-Chomko
Keyword(s):  
Sustainable Development ◽  
Sustainability Assessment ◽  
Point Of View ◽  
Target Point ◽  
Ideal Solution ◽  
Development Goals ◽  
Negative Ideal Solution ◽  
Integrated Sustainability ◽  
The Eu

Abstract Sustainability is a holistic and complex multi-dimensional concept comprising economic, social and environmental issues. The EU Sustainable Development Goals’ indicator set, developed by European Commission, is implemented online in Eurostat’s database and constitutes the basis for assessing the level of sustainability assessment in different areas. The integration of the sustainability indicators was carried out in many studies by using the multi-criteria techniques. This work proposes a new methodological framework based on extended TOPSIS procedure, which takes into account EU targets and/or national targets in building positive ideal solution and negative ideal solution. This algorithm allows compensatory and non-compensatory approach in integrated sustainability assessment from the target point of view. This framework has been applied to measure sustainable development in the area of education in 28 EU countries in 2015. The results of this research also illustrate the complexity of measuring sustainable development, where multiple sustainability criteria and targets are considered.

scholarly journals SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING

2013 ◽  
Vol 14 (5) ◽  
pp. 957-978 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini ◽  
Mohammad Majid Fouladgar ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Criteria ◽  
Energy Resources ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proposed Model ◽  
Negative Ideal Solution ◽  
Hierarchy Process ◽  
The Ideal

Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.

scholarly journals A Multi-Objective Decision-Making Approach For Mutual Fund Portfolio

2011 ◽  
Vol 4 (6) ◽  
Author(s):  
Hari P. Sharma Hari P. Sharma ◽  
Dinesh K. Sharma
Keyword(s):  
Decision Making ◽  
Mutual Fund ◽  
Investment Decision ◽  
Optimal Solution ◽  
Ideal Solution ◽  
Font Size ◽  
Distance Method ◽  
Multi Objective ◽  
Fund Portfolio ◽  
Priority Structure

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-family: Times New Roman;"><span style="font-size: 10pt; mso-bidi-font-style: italic;">Investment decision-making problems ar</span><span style="font-size: 10pt;">e<span style="mso-bidi-font-style: italic;"> generally multi-objective in nature such as minimization of the risk and maximization of the expected return.<span style="mso-spacerun: yes;">&nbsp; </span>These problems can be solved efficiently and effectively using multi-objective decision making (MODM) tools such as a lexicographic goal programming (LGP).<span style="mso-spacerun: yes;">&nbsp; </span>This paper applies the LGP model for selecting an optimum mutual fund portfolio for an investor, while taking into account specific parameters including risk, return, expense ratio and others.<span style="mso-spacerun: yes;">&nbsp; </span>Sensitivity analysis on the assigned weights in a priority structure of the goals identifies all possible solutions for decision-making.<span style="mso-spacerun: yes;">&nbsp; </span>The Euclidean distance method is then used, to measure distances of all possible solutions from the identified ideal solution.<span style="mso-spacerun: yes;">&nbsp; </span>The optimal solution is determined by the minimum distance between the ideal solution and other possible solutions of the problem. The associated weights with the optimal solution will be the most appropriate weights in a given priority structure.<span style="mso-spacerun: yes;">&nbsp; </span>The effectiveness and applicability of the LGP model is demonstrated via a case example from broad categories of mutual funds.</span></span></span></p>

Sign in / Sign up

Export Citation Format

Share Document