Visekriterijumsko Kompromisno Rangiranje Research Articles

An integrated approach of VIKOR and teaching learning based optimization algorithm for milling machinability computations

The significance of producing Carbon nanomaterials (CNMs) reinforced polymer composites are increasing in manufacturing trades due to their exceptional performances. CNM modified composites are primarily employed in structural component needs due to expanded physicomechanical properties. This paper highlights a coherent approach of the VIšekriterijumsko KOmpromisno Rangiranje(VIKOR) and Teaching learning-based optimization algorithm (TLBO) to evaluatethe Milling efficiency. The machining was performed for the Milling process of0-D carbon nano onion (CNO) reinforced polymer (Epoxy) composite at four different levels of Box Behnken Design (BBD). The Milling performances such as Material Removal Rate (MRR) and Surface roughness (SR) were optimized to enhance product quality and productivity. The control of varying process constraints, viz. Weight % of CNO filler content(A), cutting speed (B), feed rate (C) and depth of cut (D), was used to optimize the machining response. The conflicting response is aggregated through the VIKOR method to develop the fitness function for an algorithm. The process constraints play a significant role in influencing the cost and productivity ofthe machined components. The objective function derived from VIKOR was supplied as input into the TLBO algorithm. The results demonstrated that the spindlespeed, feed rate, and weight % of CNO filler are the most contributing factors for machining indices. Also, the hybrid VIKOR-TLBO module shows a lower error percentage than the conventional VIKOR method. The microstructural investigation of the machined surface reveals the feasibility of the proposed hybrid module in a production environment.

Social sports Competition Scoring System Design Using Single Value Neutrosophic Environment

The goal of this work the critical criteria that affect social sports competition organization's arrangement. Then determine the relations between criteria with others and alternatives. So, the evaluation of the process of social sports competition contains many conflict criteria. The multi-criteria decision-making (MCDM) process is an effective tool for dealing with conflict and complex criteria. This work employs a new integrated model for dealing with the problem in an analytical hierarchal process (AHP) and Višekriterijumsko Kompromisno Rangiranje (VIKOR) methods under single-valued neutrosophic sets (SVNSs). SVNSs are the best tool for overcoming uncertainty and incomplete information. The AHP method is used for computing the weights of criteria then VIKOR is used for rank alternatives. The twelve criteria and five alternatives are used in this problem. An illustrative example is provided to present a robust hybrid model. This paper can help organizations and countries for arrangement and organize social sports completion with a scoring system design.

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy.

To achieve higher standards of sustainability, the waste management sector now requires the incorporation of circular economy (CE) principles. However, an easy transition toward the particular goal would require the use of smart waste technologies. To achieve the aforementioned goal, this study aims to provide a facilitating framework for the adoption of smart waste management in the context of CE for Pakistan. To help Pakistan transition toward the new paradigm, a total of 16 critical facilitators are evaluated based on five distinctive criteria using a novel fuzzy hybrid multi-criteria decision-making (MCDM) approach. The hybrid MCDM approach includes fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) for allocating weights to the determined criteria; whereas, the fuzzy VIšekriterijumsko kompromisno rangiranje (VIKOR) approach is used to rank the critical facilitators adopted from the secondary literature. The fuzzy approach in both cases is to deal with any kind of uncertainty during the data collection process. Based on the achieved results, the study suggests that before the application of smart waste technologies in the country, Pakistan should first focus on devising regulations that effectively address the mismanagement of waste produced in the country. Also, the industries in the country need to become more responsible and should adopt environmental management systems that foster waste minimization. Lastly, the country in the third phase should focus on the wide application of digitalization both in the streams of ICT and IoT, for collecting, sharing, and receiving waste data. The study further provides policy recommendations to the respective stakeholders that will help the country achieve zero-waste CE.

Sistem Pendukung Keputusan Pemilihan Calon Ketua Program Studi Menerapkan Metode VIKOR

The head of the study program is one of the important people in the agency who is responsible for managing and managing each channel from high school or university. The head of study program also has tasks such as arranging plans and activities, evaluating the implementation of educational activities and so forth. Before the appointment of the head of the Study Program, there will certainly be a nomination for the head of the Study Program who has at least more than 3 lecturers and staff who have requirements. The method used in this decision support system is the VIKOR Method (Visekriterijumsko Kompromisno Rangiranje). This method performs an evaluation of alternatives and determines the ideal compromise solution, so that this system can later be useful for high schools or universities in choosing the head of study programs.

College Ranking Analysis Using VIKOR Method

College ranking is the main thing used as a basis to attract prospective new students. Prospective new students will generally look for related information from which universities are the best to choose in the future. In the ranking of universities based on the official page of the Ministry of Research, Technology and Higher Education, the ranking of universities, both public and private, can be a reference for recruiting prospective students. The better the college ranking, the more attractive prospective new students are. To determine the ranking of a university, a decision support system is needed. There are many methods available from the decision support system, but in this study, the author will use the VIKOR method (Visekriterijumsko Kompromisno Rangiranje), which is part of the MCDM (Multi-Criteria Decision Making), as a solution to these problems. The VIKOR method is a multi-criteria optimization method that can be used on fairly complex systems. In this study, the sample data used came from 10 universities in the city of Medan, where the initials of each naming were colleges A to J. From the results of research analysis using the VIKOR method, the ranking results were as follows, where college B got the first rank with the lowest score of 0. Then the second rank was college G and in the third rank was college H with each score of 0.248211396 and 0.304702661. For the fourth, fifth, sixth, seventh to tenth ranks, they are sorted from colleges A, I, C, E, F, D, and J.

COMPARISON OF LINEAR AND VECTOR DATA NORMALIZATION TECHNIQUES IN DECISION MAKING FOR LEARNING QUOTA ASSISTANCE

Data normalization is essential for all kinds of decision-making problems, and a lot of effort has been spent on the development of normalization models in multi-criteria decision making (MCDM), but despite all this, there is no definite answer to the question: Which is the most appropriate technique?. This paper compares the popular normalization techniques: Linear Normalization (LN) and Vector Normalization (VN) using VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) Method. The beneficiaries dataset of learning quota was collected of 399 students sample through observation (drive-test measurements and online questionnaires) to obtain information on criteria data including attributes in online learning during the Covid-19 pandemic. The ranking results for vector vs linear normalization show how ranking is affected. The difference in the selection of the best alternative (rank) shows that there are differences in vector and linear assessments that are influenced by the max-min criterion value which has an impact on the rank- sum results (benefit/cost). This test clearly shows how important it is to use an appropriate (normalized) representation of the model because there will often be a criterion where "the higher the better" while for others (cost) "the lower the better".

A Comparative Adoption of COTS Database Components Using the Hybrid AHP-TOPSIS and AHP-VIKOR Methodologies

Objectives : This study aims at comparing two recent hybrid methodologies used to evaluate COTS database products based on reusability, including Analytic Hierarchy Process integrated with VIsekriterijumsko KOmpromisno Rangiranje (AHP-VIKOR), and Analytical Hierarchy Process integrated with Order Preference by Similarity to Ideal Solution (AHP-TOPSIS). Method: AHP is presented to determine the weight of each evaluation criterion. VIKOR and TOPSIS are used to acquire the final rank of software database alternatives. The evaluation process has been carried out using four database components, namely: Ingress, Oracle 9i, SQL Server 2005 and Microsoft Access. The focus is to compare the difference in the evaluation results between TOPSIS and VIKOR. Both methods are based on an aggregating function that represents closeness to the ideal solution. VIKOR is based on linear normalization whereas TOPSIS used vector normalization to eliminate the units of criterion functions. Findings: the solution obtained by TOPSIS method has the shortest distance from the ideal one and farthest from the negative ideal solution. VIKOR method helps to determine a compromise solution that gives a maximum group utility for the majority and minimum for opponents. The results show that the proposed multi-criterion decision-making approach can enhance objectivity the evaluation process of the given database alternatives. In addition, the comparison reveals the effectiveness, and weakness of each method. Keywords Commercial of the shelf (COTS), Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Analytical Hierarchy Process (AHP), Usability, Multiple Criteria Decision Making (MCDM), Normalizing weight, Database, Reuse

Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis

The use of hybrid renewable energy system (HRES) holds great promise for sustainable electrification and support countries reaching their energy access goals. The site selection and design of HRES are strategic stages towards ensuring an affordable, sustainable, and well-performing project. However, both are multidimensional and intricate issues that involve multiple conflicting assessment criteria and alternatives, which are not yet investigated comprehensively and simultaneously in many of the existing literature. In this context, the paper aims to develop a systematic and conceptual decision-making framework for site suitability and optimal design of HRESs, with an application on a regional scale in Kenya, Sub-Saharan Africa. The suggested framework is applied through three consecutive phases. First, a geographical information system (GIS) is combined with Best Worst Method (BWM) decision-making approach to spatially investigate and analyze the potential sites of solar, wind, and hybrid solar/wind systems. Within the spatial investigation, 9 different climatology, environment, location, and orography criteria are considered. Second, energy-economy-ecology (E3) design optimization is conducted to determine the list of feasible alternatives among grid-extension, autonomous HRES, and stand-alone diesel genset electrification schemes for powering a representative remote rural village in Kenya. Third, a post-optimality multi-criteria decision-making (MCDM) analysis is applied to decide and assess the optimal energy access design against 12 key sustainability indicators. In the third phase, the BWM is employed to define the weights of each indicator. Then, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and the VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) decision making approaches are used for the final ranking of feasible alternatives. The obtained site suitability maps of Kenya show that 0.91% (5322 km2) and 1.5% (8828.4 km2) of the land is highly suitable, 10.25% (59687 km2) and 33.04% (192360 km2) is suitable, and 80.5% (470313 km2) and 65% (378407 km2) is permanently unsuitable for establishing solar and wind systems, respectively. Also, E3-MCDM results indicate that the development of solar/wind/diesel/battery HRES is the best sustainable solution to supply the studied region as compared to other feasible alternatives. The system does not only guarantee a reliable operation with an unmet load of 552 kWh/yr, but it also has the lowest net present and energy costs at 2.6 M$ and 0.28 $/kWh, respectively, meanwhile avoiding annual CO2 of 804 tons compared with diesel system.

A hybrid Model Using MCDM Methods and Bipolar Neutrosophic Sets for Select Optimal Wind Turbine: Case Study in Egypt

The wind turbine selection problem is important for countries under change of climate and global warming. The importance wind turbine has increased due to toward countries used the renewable energy. The information of selection wind turbines is often vague and imprecise. Therefore, this paper develops a methodology for wind turbines selection problem based on neutrosophic information. Bipolar neutrosophic sets (BNSs) is a very common tool for performing potentially uncertain information provided by experts and decision makers. So, the BNSs is a useful for dealing with uncertain complex situations. The wind turbine is contain the different and conflict criteria. Thus, the concept of multi-criteria decision making (MCDM) is used. This paper used MCDM method for selection wind turbine problem. First. Used the entropy weight to calculate the weights of criteria. Then the Weighted sum method (WSM), visekriterijumsko kompromisno rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Evaluation based on Distance from Average Solution (EDAS) are used to select best turbine. The case study in Egypt is provided. The comparative analysis is done to test the reliability of the proposed methodology. Finally the sensitivity analysis is performed.

Determination System for House Improvement Recipients In Serdang Bedagai By Using Clustering K-Means Method And Višekriterijumsko Kompromisno Rangiranje (Vikor)

To improve the welfare of the community, the Government created a program called Bantuan Stimulan Perumahan Swadaya (BSPS) or better known as house improvement program. One of the implementations is in Kabupaten Serdang Bedagai. Therefore, we need a system capable of grouping the house situation of the poor then ranked to determine the priority in obtaining Program Bedah Rumah. For grouping were done using k-means clustering method consists of several criteria: welfare status, number of individuals in the family, type of floor, type of wall material, type of roof, use of toilet facility, type of toilet, and final disposal place. Then in ranking is used one of the multi-attribute decisions making method Višekriterijumsko Kompromisno Rangiranje (VIKOR). The criteria were used in ranking are the sources of drinking water, the primary lighting source and the cooking fuel. From the test results of 1,180 poor households (RTM) data produced 3 clusters of 538 RTM in cluster 1, then 593 RTM on cluster 2 and 49 RTM on cluster 3. The house improvement program assistance on the first year will be given to 185 RTM, then second year for 162 RTM, third year for 300 RTM, fourth year for 250 RTM, fifth year for 150 RTM and the last year for 133 RTM.

Combining decision making algorithms to improve accuracy of the course assessment rank

Assessment activity is important to keep the quality of student’s knowledge. This study aims to combine decision making algorithms to improve accuracy of the course assessment activities rank to evaluate the student’s knowledge automatically. This study use Analytical Hierarchy Process (AHP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) as decision making algorithms. AHP and VIKOR are Multi-Criteria Decision Making (MCDM), where VIKOR is compromise ranking method that is expected to improve the accuracy of the ranking results. AHP and VIKOR algorithm which are combined in this study are named AVI. The experiment result with 6 types of assessment as criteria shows that AVI capable to increase the accuracy value of assessment ranking result until 1.75 times more accurate/higher percentage than using AHP or VIKOR only. This result has implications for the similar research of decision support systems, for different case studies, it can be applied the AVI combination method to improve the accuracy of ranking results.

PEMILIHAN BIBIT KELINCI NEW ZEALAND WHITE (NZW) TERBAIK DENGAN MENGGUNAKAN METODE VIKOR

The New Zealand White (NZW) rabbit is a rabbit originating from America that has now spread to Indonesia. NZW rabbits have the advantage that they have large meat weight, small bones and a harvest period of about 3.5 months. However, the quality of the rabbits produced is very influential in the initial selection of seeds. Therefore, a decision support system is needed to select so that the resulting rabbits are as expected. One of the selection methods used in selecting the best rabbit seeds is the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method. VIKOR is a decision-making method that works by looking at the closest solution / alternative as an approach to the ideal solution in ranking. The purpose of this study is to recommend the selection of the best NZW rabbit seeds using the VIKOR method. The results showed that the VIKOR method was able to select the best NZW Rabbit seeds from a number of existing data.

Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry

In this study, we use six dimensions (i.e., firm strategy; government, structure, and rivalry; demand conditions; chance; factor conditions; and related/supporting industries) based on Porter’s diamond model to identify critical development indicators to enhance the competitiveness of Taiwan’s solar photovoltaic industry. Our proposed industry evaluation model uses the decision-making trial and evaluation laboratory (DEMATEL) technique to establish an influential relationship between indicators, the DEMATEL-based analytic network process to obtain influential weights, and the modified VIšekriterijumsko Kompromisno Rangiranje (VIKOR) method to assess industry development performance gaps. Through this analysis, current industry demands can be clarified, and operations of governments and photovoltaic firms can be improved by limiting developmental gaps and formulating robust policies and strategies. Furthermore, the influential network relationship map and influential weights can help explain the complex assessment system and suggest priorities for industry improvement. The results demonstrate that the six dimensions should be upgraded in the following order of priority: firm strategy; government, structure, and rivalry; demand conditions; chance; factor conditions; and related/supporting industries. We also discuss the implications for photovoltaic firm management.

Hybrid Hesitant Fuzzy Multi-Criteria Decision Making Method: A Symmetric Analysis of the Selection of the Best Water Distribution System

Every country’s influence and livelihood is centered on that country’s water source. Therefore, many studies are being conducted worldwide to improve and sustain water resources. In this research paper, we have selected and researched the water scheme for groundwater recharge and drinking water supply of drought prone areas. The water project is aimed at connecting the drought prone areas of the three districts of Tamil Nadu to filling up the ponds in their respective villages and raising the ground water level and meeting the drinking water requirement. We have chosen a multi-criteria decision method to select the best alternative in a complex situation. When reviewing the implementation of this water project, many experts and people who will benefit from this project may have some hesitation and ambiguity in their suggestion on choosing the best water distribution system.We believe that the benefits of this project can be fully availed of if we choose a water distribution system. Our contribution in this article is to choose the best water distribution system for this project by use of our proposed multi-criteria decision making (MCDM) methods, hesitant fuzzy standard deviation with multi-objective optimization method by ratio analysis (HFSDV-MOORA), hesitant fuzzy standard deviation with technique, for order preference by similarity to an ideal solution (HFSDV-TOPSIS) and hesitant fuzzy standard deviation with VIsekriterijumsko Kompromisno Rangiranje (HFSDV-VIKOR), which will provide the best solution for improving the water resource for the drought-prone areas of three districts. Finally, we have identified and compared the correlation coefficient between proposed methods. As a result of the study, it has been found that the best water supply system is closed concrete pipes laid along agricultural land through the rural areas.

An integrated multi-objective optimization method with application to train crashworthiness design

The collision performance of crashworthy structures can be improved using the optimization design. However, conflicting objective functions and the non-uniqueness of solutions hinder the Pareto optimum selection. This study constructs a hybrid optimization approach (TA-FBGV) integrating the multi-objective optimization and the multiple criteria decision-making (MCDM). TA-FBGV combines the two-phase differential evolution (ToPDE) method, indicator-based multi-objective evolutionary algorithm (AR-MOEA), fuzzy best worst (F-BW) strategy, grey relational analysis (GRA), and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) integrating method (G-VIKOR) to address difficulties of the Pareto optimum selection. The ToPDE method is employed to generate uniform samples. AR-MOEA is used to produce Pareto optimal solutions. Weighting values of competing objectives are calculated through the F-BW strategy. G-VIKOR is applied to choose the final Pareto optimum from the Pareto front. Subsequently, the multi-objective optimization of the train underframe structure is performed using TA-FBGV. The results show that the Pareto optimum obtained by G-VIKOR is a good compromising solution which locates near the knee point provided by the minimum distance selection method (TMDSM). This implies that the G-VIKOR approach can achieve a good trade-off among conflictive objectives. Compared with the initial model, although the energy absorption of the Pareto optimum is decreased, the initial peak crushing force and structural mass are reduced. Optimization results indicate that the TA-FBGV approach is efficient to select the Pareto optimum for the structure optimization design.

Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VIšekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.

Ranking provincial power generation sources of China: a decision-maker preferences based integrated multi-criteria framework.

The ranking of power generation sources is a very important prerequisite for power generation installation planning and power supply security. This study proposed a new multi-criteria system for ranking regional power generation sources in one country, including resources, economy, technology, environment, and society, using 11 sub-criteria. Based on the system, a novel decision-maker (DMs) preference-based integrated MCDM framework involving four methods (Visekriterijumsko Kompromisno Rangiranje (VIKOR), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), and Weighted Sum Method (WSM)) was developed for ranking six power generation sources (thermal, nuclear, wind, hydro, solar PV, and biomass) at the level of China's 30 provinces. Six different preferences of DMs are considered in the ranking according to five criteria. The results show that wind should be the power generation source given the top priority in most provinces in China whereas nuclear power and thermal power are the last choice for 26 provinces. Biomass is the most preferable power source for 17 provinces based on technological preference in which DMs regard the technology criteria is prior to all other criteria. Thermal power would still the preferred or secondary power source for provinces rich in coal resources such as Shanxi, Inner Mongolia, Henan, and Shaanxi.

Application of a GIS-Based Fuzzy Multi-Criteria Evaluation Approach for Wind Farm Site Selection in China

The development and utilization of wind energy has alleviated the problems of energy shortage and environmental pollution; however, it caused many negative impacts due to suboptimal site selections. This study proposes an innovative method integrating Geographic Information System (GIS), fuzzy Analytic Hierarchy Process (FAHP), and fuzzy VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) for site selection of wind farms in the Wafangdian region, China. The uncertainties caused by subjective judgments of the stakeholders were tackled by the FAHP method firstly, where weight values of six criteria were identified. Next, the fuzzy VIKOR method and GIS tool were used to generate the Qi value of each location for ranking their appropriate degrees for wind energy development. The results demonstrated that the middle and upper parts of the studied area are suitable for the exploitation of wind energy, while the central and eastern areas are unfavorable. The influences exerted by various weight combinations and climate change on a site suitability assessment were examined. The resulting comparison with existing wind farms reflected the practicability and reliability of the proposed method; the estimation of climate change impacts on site selection provided the suggestion and support of a long-term plan for wind power development, and even the energy structure adjustment scheme adapted to climate change.

Evaluating the Investment Projects of Spinal Medical Device Firms Using the Real Option and DANP-mV Based MCDM Methods.

In an era of global aging, spinal and other joint degeneration issues have become a major problem for many elders. Bone-related operations have become the largest percentage of surgeries, accounting for 40% of the top 10 operations in the United States. Further, these spine-related operations are now ranked second among all bone-related operations. Due to this enormous and daily increasing market demand, more and more firms have started to pay closer attention to related medical devices and products. The global venture capitalists (VCs) have also started to follow the mega trend and will continue to invest heavily in this industry. Although most VCs recognize that investing in firms that produce innovative spinal products or devices is a must, very few practical managers or research scholars have defined the appropriate evaluation methods for these firms to use. The traditional net present value (NPV) method, which does not consider operation flexibility and changes in strategy, is far from the reality. The real option method can reveal the vagueness and flexibilities of the values being embedded in the investment projects at spinal medical device firms. However, the real option method is strictly quantitative. Usually, the evaluation aspects contain qualitative factors or local criteria which are hard to quantify in monetary terms. Thus, the adoption of multiple criteria decision making (MCDM) methods that can manipulate both quantitative and qualitative factors will be very helpful in evaluating and selecting investment cases like the spinal medical device firms, where both quantitative and qualitative factors should be considered. An analytical framework that consists of hybrid MCDM methods and the real option method will thus be very useful to evaluate the newly established firms producing spinal medical devices. Therefore, the authors propose a real option valuation as well as the Decision-Making Trial and Evaluation Laboratory (DEMATEL) based analytic network process (DANP) and the modified VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) method (DANP-mV) based MCDM framework for evaluating the investment projects offered by these firms of spinal medical devices. An empirical study based on three newly established spinal medical device companies specializing in vertebral compression fracture (VCF) surgical devices was used to demonstrate the feasibility of the proposed analytical framework. Sensitivity analysis is performed to determine the influence of modeling parameters on ranking results of alternatives. This analytical framework can thus serve as a tool for VCs to use to determine the value of a potential candidate for investment. The proposed method can also serve as an effective and efficient tool for investment projects in other fields.

Analisis Penilaian Guru Memakai Metode Visekriterijumsko Kompromisno Rangiranje (VIKOR)

Teacher Research Analysis Using the Visekriterijumsko Kompromisno Rangiranje Method (VIKOR). The process of analysis in teacher assessment can produce good teaching so that students can understand the lesson optimally. With a professional teacher who can create Human Resources (HR) who are experts. Therefore, teacher assessment plays an important role in producing human resources who are experts in their fields. But there are still many teacher assessments that are still manual, thus making the process long and inefficient. The entry of technology into various fields, especially education, can make the teacher assessment process more efficient and systematic. To facilitate the assessment of teachers can use a Decision Support System (SPK). With SPK, making weighting with complex and difficult criteria easier. There are many SPK methods to facilitate teacher assessment, in this case the author uses the SPK method is Visekriterijumsko Kompromisno Rangiranje (VIKOR). This method can facilitate the ranking of alternative professional teachers. So as to produce a decision support system to determine teacher achievement.