Selection Support System Research Articles

Multi-criteria decision support system for bridge construction system selection utilizing value engineering and TOPSIS

When selecting the appropriate bridge deck construction system, it is essential to consider many criteria such as the span length, geographical location, construction speed, cost, site conditions, resource availability, technology, ease of construction, and service life. The objective of this study is to optimize the decision-making process for selecting a bridge deck construction system in the preliminary design and planning stage. The proposed model allows designers or decision-makers to make an informed choice of an appropriate construction system according to project criteria through a decision support system. The model employs value engineering methodology and a multi-criteria decision-making method and utilizes the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision-making method. To gather modeling data from a focus group consisting of professional bridge engineers, a semi-structured interview and two questionnaires are conducted. When applying the proposed model to two active bridge construction projects in Egypt, it reveals that "Span by Span using launching girder" and "precast post tension girder" are better suited to cases one and two, respectively. The study makes a contribution by presenting a decision support system that combines value engineering methodology and a multi-criteria decision-making method (TOPSIS). This system empowers designers and decision-makers to make project decisions considering specific criteria and constraints.

Modeling a Decision Support System for Selection of Natural Stone Suppliers Using the Moora Algorithm

Modeling a Decision Support System for Selection of Natural Stone Suppliers Using the Moora Algorithm

Implementation of a Decision Support System for Contract Employee Recruitment Selection using the Simple Multi Attribute Rating Technique (SMART) Method

LPMP West Sumatra is a company in the technical implementation department of the Ministry of Education and is led by leadership and is responsible to the Director General for Improving the Quality of Educators and Education Personnel (PMPTK). The selection process for hiring contract employees has difficulties because the system is still manual where all the processes from the initial stage of registration selection to the final stage of registration selection are all done manually so it takes quite a long time and is troublesome and drains a lot of energy and energy for the company management. . So there is a need for an online selection information system for contract employee recruitment at LPMP West Sumatra such as a decision support system. This Decision Support System (DSS) uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method for handling multi-criteria problems based on calculating the criteria weights for each alternative. The aim of this decision support system was to be able to assist the selection process for hiring contract employees at LPMP West Sumatra quickly, precisely and accurately. The results obtained by the alternative with the name of the prospective contract employee were Ririn Novrianti with a score of 0.755. This helps West Sumatra LPMP leaders in determining prospective contract employees who meet the requirements for employment

Application of the Weighted Product Method to the Decision Support System for Selection of the Best Teacher Performance

Teachers are professional educators with the main task of educating, guiding, teaching, directing, assessing, training and evaluating students in early childhood education through formal basic education and secondary education. Teacher performance evaluation is an assessment of each item of the teacher's main task activities in the context of career development, rank and position. Assessment of performance achievements is based on several criteria that will be calculated. There are various ways or steps that can be taken to carry out the calculation process when the assessment takes place, one of which is to design an information system that can present information on the results of teacher reward recipient recommendations that are fast and precise and has high precision and accuracy values, this system is Decision Support System (SPK) or Decision Support System (DSS). Therefore a Decision Support System (SPK) with the Weighted Product (WP) method is needed which will determine the best choice and according to predetermined criteria from SD Negeri 10 Batang Anai. The Product Weighted method is a settlement method using multiplication to connect attribute ratings, where the rating must be raised to the first power of the attribute weight in question. So that the process is faster and data management in the form of process results reports can be managed and stored safely and easily. The result obtained which has the highest value is alternative A04 on behalf of Tri Murni, S.Pd with a value of 0.252

Implementation of a Decision Support System for Selection of Used Motorbikes using the Simple Additive Weighting Method

Motorized vehicles are one of the means of transportation that is widely used in society. In a traffic jam, the motor can provide good mobility. Motorcycles are one of the primary needs for the middle-class economic community. The economic limitations of some people to buy a new motorbike are experiencing problems. So the alternative way is to choose to buy a used motorbike. Not a few consumers who want to buy a used motorcycle at a slightly cheaper price but with a quality brand. On the grounds of a lack of funds or simply wanting to replace a used motorbike, buying a used motorbike can be an option to meet these needs. The SAW method is a method that is often used to make a decision using a weighted algorithm and requires matrix normalization which has alternative rating scales available. To overcome existing problems, it is necessary to implement a decision support system in selecting the best used motorbike in order to provide a structured assessment that can help visitors in choosing the best used motorbike using the Simple Additive Weighting (SAW) method. With the existence of a decision support system for selecting used motorbikes that applies the SAW method, it is hoped that this system can help visitors choose the best used motorbike, can fulfill information needs relating to selecting the best used motorbike, and can answer and assist admins and visitors in solve the problem of selecting the best used motorcycle.

Decision Support System for Selection of Healthy Toddler using MOORA Method

Toddlers are the human stage after infancy, toddlers are one of the most important stages in the quality development of human growth. one way to develop health in toddlers is to carry out routine checks at Public Health Center. Public Health Center has not yet provided a system for selecting healthy toddlers and also requires a system for selecting healthy toddlers. Therefore a decision support system is needed to make decisions related to checking the health of toddlers. decision support system is part of a computer-based information system, which is used to make a decision, in making a decision support system the Multi Objective Optimization by Ratio Analysis (MOORA) method is used. Based on the calculations made regarding the decision to check the health of toddlers, the MOORA method uses weighting criteria and determines the type of criteria, and MOORA does not have sub-criteria weighting provisions using FMADM, FMADM weighting reduces ambiguity because the bigger the value, the better, but if the value is too large then it is not good, such as body weight. It is necessary to provide more sub-criteria so that the accuracy in ranking is better and more accurate with a scale of 0-5. The optimization value for A1 is obtained by adding the cells from A1 0.6765 + 1.0070 + 0.2626 + 0.1195 = 2.0656 and Alternatives A2, A3, A15 have the most optimal weight values ​​with optimization values ​​(2.3282).

Decision Support System for Selection of Pesticides in Chili Plants Using the MAUT Method

Diseases in chili plants often cause farmers to experience crop failure. Diseases that are often encountered are leaf spot disease, wilt disease, and anthracnose disease caused by fungi. Therefore, farmers are trying to prevent and reduce the disease by using pesticides. The use of pesticides in agriculture plays a role in preventing and reducing diseases in chili plants. Pesticides for chili plants are quite widely spread on the market and have the advantages of each product offered to farmers, so farmers must be more careful and understanding in choosing pesticides to be used in preventing chili plant diseases. For that we need a decision support system (SPK). The purpose of this research is to apply the MAUT method in SPK which can help chili farmers in selecting pesticides. The data used in this study are 10 types of pesticides as an alternative. While the criteria consist of price, classification, number of diseases eradicated, method of action, shelf life, and formulation concentration. Data analysis uses the MAUT method with the steps of forming a decision matrix, normalizing the decision matrix, determining the utility matrix, calculating the final utility, and ranking. The research results obtained for the three best pesticides are Tridex 80 WP, Ziflo 76 WG, and Cabriotop 60 WG.

A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain

Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting the expectations of the stakeholders to extend sustainability towards lower-tier suppliers carry multiple risks, tangible and intangible, to the focal company. It is expected that extending sustainability to suppliers at lower tiers through effective sustainability governance approaches (SGAs) can reduce these risks for focal companies. The existing literature lacks research on decision support tools using management science techniques to help decision makers choose the most suitable SGA/SGAs in a given situation and the risk management of SGAs in multi-tier supply chain. The present study develops a model-driven decision support system (DSS) using Bayesian network (BN) that can assist operations managers in selecting the most effective SGA/SGAs in multi-tier supply chain considering each situation. The developed DSS includes contingency factors and risk variables and their relationships which are identified through a systematic literature review and is applied to the multi-tier, sustainable supply chain of a multinational company operating in China to demonstrate its practical applicability. The DSS is then used in the risk management of the SGAs in multi-tier supply chain, which includes core steps such as identification of the contingency factors and risk variables, the prioritisation of the contingency factors and risk treatment. By Prioritising the basic contingency factors, ‘‘Focal company's sustainability knowledge’’ and ‘‘The specific nature of the materials sourced from lower-tier supplier’’, and ‘‘First-tier supplier's possession of internal resources'’ and ‘‘First-tier supplier's sustainability training’’ were identified as the two most important factors regarding their impact on the effectiveness of the direct and indirect approaches respectively. Detailed managerial implications related to the development and implementation of the DSS and the risk management process are also provided.

Decision Support System For Selection of Prospective Members of BLM Polytechnic Caltex Riau Using The Weighted Product Method

The Caltex Riau Polytechnic pupil Legislative frame (BLM) is a pupil organization that includes out the capabilities of budgeting, regulation and supervision. the selection of prospective PCR BLM contributors is still conventional, such as selecting scholar documents one after the other which results in problems in organizing scholar documents. To help the manner of choosing BLM PCR members in figuring out the selected BLM PCR individuals, a choice-making gadget is wanted that may be used as an opportunity consideration between the selection outcomes acquired manually and the outcomes received from the gadget. in addition to being a device to help the pinnacle of BLM in making selections the usage of the Weighted Product approach. based totally at the effects of blackbox testing, it could be concluded that the BLM member selection system works in step with user needs. as well as the consequences of the usability testing, the test consequences obtained with a total percent of ninety two.35% (Strongly Agree). And the outcomes of checking out the accuracy of manual calculations with the system display that the accuracy stage is a hundred%. From the effects of this take a look at it became concluded that the gadget is acceptable to users in order that.

Decision support system for selection of exemplary students using the analytical hierarchy process (AHP) method

The problem that occurs in determining exemplary students is the length of the process of determining the assessment of exemplary students, this is due to the fact that each teacher must first select potential exemplary students. After obtaining the names of prospective new model students, the selection of model students is carried out by an assessment team from the school. The purpose of this study is to select exemplary students at the end of each semester using the Analytical Hierarchy Process method. Based on the results of the assessment using the Analytical Hierarchy Process method, the first model student was obtained by Budi Riantono with a value of 0.250949, the second model student was obtained by Putri Azzahra with a value of 0.235755, the third model student was obtained by Akhmad Wijayanto with a value of 0.204881. The results of calculations between manual calculations and calculations using a web-based application show no difference in value and ranking. Then a web-based application is made based on the results of manual calculations using the Analytical Hierarchy Process method that has been made.

Decision Support System for Selection of the Best Fuel for Households Using the Weighted Product (WP) Method

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.

Decision Support System for Selection of the Best Employees based on Performance with the Topsis Method

Selection of the best employees at Wali Nagari is an activity carried out by the Wali Nagari by carrying out this activity to determine the best employees at the Nagari. In determining the selection of the best employee candidates in Nagari Singguling, this research uses a decision support system (SPK) concept with the TOPSIS method. The decision support system that was built can provide recommendations to Nagari for the best employee candidates at Nagari Singguling. The TOPSIS method used can carry out a calculation that begins with determining the criteria of the variables used, then creates a matrix and proceeds to the solution matrix process. In the end, the process will enter the ranking stage until the output can recommend the best prospective employees at Nagari Singguling. The results obtained in this study also provide a model or form of a semi-structured system, in determining the best prospective employees in Nagari Singguling using the TOPSIS method decision support system. The results of this study are based on data testing of 9 alternatives, it can be determined that alternative A5 on behalf of Dona Riona S.Pd is the best employee with a value of 0.63 . So that the benefit that will be obtained is to provide convenience

Decision Support System for SmartPhone Selection with AHP-VIKOR Method Recommendations

Produce products that have various features and diverse functions, which are able to provide convenience with the reliability of their features and functions. The advantages possessed by SmartPhone become more confident for users to assess the level of product intelligence, the more trustworthy. The purpose of this research is to provide additional knowledge on the selection of SmartPhone to the user in having a product with various benefits. The more criteria that become a barometer, the more difficult it is to choose a product in the form of a SmartPhone. Thus, the right method is needed to perform the selection of the SmartPhone. There are several methods offered to carry out the selection process for SmartPhones, namely the Analytic Hierarchy Process (AHP) method combined with the VIKOR elimination method. Both of these methods are very supportive in the selection process with many types of criteria and their meanings against these criteria. A number of criteria that serve as a barometer for selecting object-based applications are Operating System, Processor, Internal Memory, External Memory, Back Camera, Front Camera, Battery, Cassing Model, Screen Size, Wight and Price. Of the eleven criteria have two different characteristics of understanding. The results of this study can be seen explicitly on the selection of SmartPhones through the acquisition of the smallest Qi index with the three highest ratings, namely the first ranked Samsung Galaxy A3 (0.00) the second is the Xiaomi Mi 4C with an index of 0.19, the third is the Lenovo Vibe K5 Plus with index 0.31. Thus it can be said that the collaboration of the AHP and VIKOR Elimination methods is able to provide optimal decision-making support.

Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Menerapkan Metode MOORA

Temporary employee is an employee who works for a government or private agency or institution, but their employment status is not officially appointed, they must go through a rigorous selection and recruitment process like permanent employees. Based on observations on the selection of honorary employees, there is a problem in determining the selection of honorary employees to be completed based on the criteria set by the Sitirejo II Lurah Office. Within the Kelurahan Sitirejo II institution, of course there are Honorary Employees, and to make all of this happen is not easy because there is still a selection process in the appointment of Honorary Employees. However, until now the Sitirejo II Village does not yet have a specific method for selecting Honorary Employees, so that in the implementation of the election it often encounters problems and requires quite a long time because it must have all the requirements to become an Honorary Employee in the Sitirejo II Village. From the problems encountered, because with Honorary Employees who have qualification standards, the productivity of the kelurahan must be maintained and increased. In this study it can be concluded that a decision support system is needed that can analyze a number of selected Honorary Employees. The method used in this decision support system is the Moora method. This Decision Support System has the goal of providing information, guiding, providing predictions, and directing solution options to users of information so they can make better decisions. These reasons make the creation of a model in decision making an important matter, so that the decisions taken are accurate, careful and of course profitable for those concerned. Based on the calculations using the MOORA method, the authors get the result that the best Decision Support System for Selection of Honorary Employees in Sitirejo II Village is the A6 alternative in the name "Juan" with a value of Yi = 0.379

Decision Support System for Selection of The Best Fuel for Households Using the Weighted Product (WP) Method

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.

Sistem Pendukung Keputusan Pemilihan Jurusan Menggunakan Metode SAW Pada SMK Negeri 2 Sarolangun

The selection of majors at SMK Negeri 2 Sarolagun has difficulties with the new student registrationcommittee because the data for prospective students is quite a lot and the time available for processingdata is limited and processing values for each field is still using a manual system, using MicrosoftSuperior. For this reason, a support system for the selection of majors at SMK Negeri 2 Sarogun isneeded. Where the results and discussion in this Decision Support System are based on research thatis generally carried out in the process of selecting majors. The purpose of this research is to analyzeand design a decision support system for majors selection using the SAW (Simple Additive Weighting)method and using the UML (Unified Modeling Language) modeling tool. This research produces aprototype that can be implemented further into a system so as to produce a decision support system forthe selection ofmajors in SMK Negeri 2 Sarolangun.

Decision Support System for Selection of Productive Land in Corn Using the SMART Method

Indonesia is one of the developing countries which has characteristics in one sector in agriculture, which is one source of income and improves the economy of farmers, but farmers in processing agricultural land are still not maximized as a means of productive plant land. This productive land requires a technology that can assist in land selection, the purpose of this research is to produce a Decision Support System for the Selection of Productive Land in Corn Plants Using a Web-Based Smart Method, and the author wants to implement the Smart method into the selection of productive land for corn plants that is safe in this system requires data that includes data criteria and alternatives. The results of the data are processed using intelligent methods so that it will produce alternative recommendations that have the highest value. this research can help coordinators of agricultural extension centers assist farmers in managing land to be productive.

COMPARATIVE ANALYSIS OF DECISION SUPPORT SYSTEMS USING THE FUZZY TAHANI AND WASPAS METHODS IN SELECTING TOURISM PLACES TO VISIT IN MAKASSAR

The selection of tourist attractions to be visited, especially the Makassar area requires several reasons, to make a decision which area to visit, several things need to be considered, besides that a Decision Support System is needed to give the best results. The system used is not just one in order to provide more accurate results. Analysis of the Decision Support System to choose the best tourist attractions in Makassar uses two methods, namely: the FUZZY Tahani Method and the WASPAS Method. The results of the analysis provide the best method using the same criteria, then the selection of tourist attractions to be visited in Makassar City. Based on the analysis between the The FUZZY Tahani Method and the WASPAS Method in selecting tourist attractions to be visited in Makassar City, in this case the use of the FUZZY Tahani Method is more appropriate. The object of his research is the decision support system for selection of tourist attractions to be visited. The results of his research showed that in The selection of tourist attractions to be visited using the FUZZY Tahani and WASPAS methods the same results were obtained for the best ranking, A7, but there were differences in the results for the next ranking.

Decision Support System for Selection of Quality Palm Seeds with the Analytical Hierarchy Process Method

At PT. Gersindo, which is located in West Pasaman Regency, is a factory company that processes palm fruit into semi-finished oil or often called CPO (Crude Palm Oil). The main part that is managed in oil palm is the fruit, the fruit of the oil palm produces crude oil. PT. Gersindo is currently still using the manual method in determining the quality of the oil palm kernels, so that problems arise in the selection of the oil palm kernels at PT. Gersindo. At the factory PT. Gersindo in selecting quality palm kernels can be solved by developing an application in a decision support system. A decision support system is a system that is able to solve problems efficiently and effectively, which aims to help make decisions by choosing various alternative decisions. One technique that can be applied in developing a decision support system is to use the AHP ( Analytical Hierarchy Process ) method. The AHP method is a method in a decision support system for solving a very complex and unstructured problem into several component parts in a hierarchical arrangement by giving subjective values. The essence of the AHP method is to determine the weight value for each criterion. The results of this study can be determined Consistency Ratio (CR) is 0.0705 . And CR is less than 0.1 , then the matrix is declared consistent, so it is very effective and efficient in making decisions on selecting quality palm kernels.

Effectiveness of Decision Support System for Hydroponic Plant Nutrient Selection Using Apriori Algorithm Method

Hydroponics is an agricultural system that uses water as its growing medium by adding nutrients to plants without using soil. In hydroponic cultivation, the thing that needs to be considered is the provision of an optimal dose of nutrient solution as a food source for plants. The provision of nutrients that are not in accordance with the needs of plants results in plants stopping growing, so that plants do not take care of each other. The type of nutrition commonly used in hydroponic plants is AB mix. However, the use of AB mix as a hydroponic nutrient also has disadvantages, namely synthetics and the price of AB mix nutrients are quite expensive. Therefore, alternative nutrients are needed that have the potential to be used as hydroponic nutrients. By analyzing hydroponic plant assessment data so that the rules of linkage between combinations of goods are found and form a pattern of itemset combinations with apriori algorithm. The association technique aims to find matching links in the database. From the results of data mining calculations using apriori algorithms, nutrient assessment data on hydroponic plants with the minimum support 20% and the minimum confidence 70%, formed five rules on hydroponic plant nutrition. One of the best rules is that AB mix nutrition is used on cucumber, spinach, celery, and kailan plants, so with 100% probability that POC nutrients will be good to also use on cucumber, spinach, celery, and kailan plants.