Decision Support System For Determining Research Articles

Application of SAW Method in Decision Support System for Determination of Exemplary Students

The decision support system for determining exemplary students using the SAW method is a solution to existing problems so that the results of the assessment of exemplary students become more effective and efficient in terms of time and selection of exemplary students. Decision-making in the determination of exemplary students can be more detailed and more accurate from existing candidates to truly exemplary prospective students who meet the established criteria. This SAW method can help teachers in making decisions using weights that have been determined by the school. The results of the decision support system for determining exemplary students using the SAW method for Rank 1 were obtained by M. Pebi Ramadhan with a value of 0.992857. Rank 2 was obtained by Adittyo Yunanta with a value of 0.984286. Rank 3 was obtained by Aldo Al Farigi with a value of 0.982857.

Sistem Pendukung Keputusan Penentuan Penerima BLT Menggunakan Metode SAW

Sidomulyo Village is a village located in the Lyric sub-district, Indragiri Hulu district, Riau Province. According to data obtained by researchers, there were 35 Regency Covid-19 BLT recipients and 51 Provincial Covid-19 BLT recipients. Then there were 95 recipients of BLT DD (Village Fund). In Sidomulyo Village, the recipients of direct cash assistance were only through data collection. This Decision Support System for Determination of Assistance uses the Simple Additive Weighting (SAW) method. The purpose of designing and making a Decision Support System for Determining Direct Cash Assistance is to assist Sidomulyo Village in receiving assistance. In the system that supports direct cash assistance, there are several criteria and alternatives used to determine direct cash assistance. The criteria used are: Occupation, Age, Number of Dependents, Income and Expenditures. While the alternative is all the people listed in the data recipients of direct cash assistance in the village of Sidomulyo. The results of this study are in the form of Determination of Direct Cash Assistance which helps Sidomulyo Village in determining.

Decision Support System for Determination of Water Supply Distribution Decisions Using the Technique for Order Preference Method by Similarity to Ideal Solution (TOPSIS)

The Water Supply Decision Support System is a computer-based information system that can be used to help support the quality of human life in terms of providing clean water. In this system, the results will be in the form of priority decisions for the provision of clean water for each candidate area. In the Social Service Office of Sragen Regency itself, there are criteria in determining decisions according to the results of the proposals submitted by each regional candidate including the number of families who need clean water (KK), the number of people in each region (SOUL), the number of water drops in each region (TANK), and the number of hamlets that need clean water in each area (DUKUH). TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is the method used in this system, determine the results of relative proximity to the ideal solution so that it can produce priority values ​​from several areas. This method was chosen because it considers the distance to the positive ideal solution and the distance to the negative ideal solution by taking relative proximity to the positive ideal solution. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. From the results obtained, it can be used to help procure clean water to areas that meet priorities, and its nature only helps to find priority values ​​according to relative proximity to the ideal solution and is not the final goal for decision making. This method was chosen because it considers the distance to the positive ideal solution and the distance to the negative ideal solution by taking relative proximity to the positive ideal solution. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. From the results obtained, it can be used to help procure clean water to areas that meet priorities, and its nature only helps to find priority values ​​according to relative proximity to the ideal solution and is not the final goal for decision making.

Tool for Determination of Risk for Risk-Based Operation of Socio Cyber-Physical Systems. Applications in Engineering Education

The aim of risk management of socio-cyber-physical systems at operation is the integral safety which ensures their co-existence with their vicinity throughout their life cycles. On the basis of present knowledge and experience, part of risks that threaten socio-cyber-physical systems is coped by preven-tive measures during their designing and manufacturing. Due to dynamic changes of the world, the con-ditions of socio-cyber-physical systems at operations change. If changes exceed the socio-cyber-physical systems´ safety limits which were inserted into their designs, the accidents or socio-cyber-physical systems´ failures occur. The paper contains the Decision Support System for determination of risk rate of socio-cyber-physical systems. Its regular application shows present-day risk rate and allows to reveal danger situations and in time to apply mitigation measures. The methodology can find several applications in Education, especially in Engineering Education.

Tool for Determination of Risk for Risk-Based Operation of Socio-Cyber-Physical Systems

The aim of risk management of socio-cyber-physical systems at operation is the integral safety which ensures their co-existence with their vicinity throughout their life cycles. On the basis of present knowledge and experience, part of risks that threaten socio-cyber-physical systems is coped by preven-tive measures during their designing and manufacturing. Due to dynamic changes of the world, the con-ditions of socio-cyber-physical systems at operations change. If changes exceed the socio-cyber-physical systems´ safety limits which were inserted into their designs, the accidents or socio-cyber-physical systems´ failures occur. The paper contains the Decision Support System for determination of risk rate of socio-cyber-physical systems. Its regular application shows present-day risk rate and allows to reveal danger situations and in time to apply mitigation measures

Decision Support System for Teacher Decision Following Teacher Professional Education (PPG) SMA / SMK East Kalimantan Province with Web-Based Smart Method

Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province is higher education after an undergraduate education program that prepares students to have jobs with special skills requirements to become teachers. The problems in registration that occur at the East Kalimantan Provincial Education and Culture Office are: The calculation of the test data is still calculated manually, so it is necessary to build a Decision Support System for Determination of Participants in the Professional Teacher Education (PPG) for SMA / SMK in East Kalimantan Province using the Web-based SMART Method. The data collection method uses the observation method and the system development method uses the method of the decision support system, namely the intelligence, design, choice, and implementation stages. Because this method has clear, practical stages. Then the system testing is White Box and Beta Testing. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the test results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) at the High School / Vocational School Level of East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Teacher Education (PPG) at the SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application.

Decision Support System for Determination of Decoration Service Employee Using Weighted Product Method (Case Study on Sanggar Puri Ethnic Decoration)

The amount of expertise needed to complete a decoration services project makes the leaders of the Puri Ethnic Decoration studio often have difficulty in making decisions to determine employees in accordance with the criteria of the project to be worked on. The method used in making the decision to determine the decoration service employee uses the Weighted Product (WP) method in the form of a Weighted Product (WP) calculation based on the amount of quota available in each project. The results of this study are in the form of a decision support system application that employee alternative solutions will be involved in the decoration service project.

Decision Support System for Determination of Development of Small and Medium Industries Using VIKOR

As a basis for regional economic growth, the existence of small and medium industries is very influential for people’s lives. But on the other hand the parties involved are very rarely optimize their potential, because of the many small and medium industries owned by the community, especially in Bangkalan Madura. One effort to overcome difficulties in optimizing the potential of small and medium industries is the application of determining the priority for the development of SMEs. This application uses the VIKOR method with the criteria of Investment Value, Production Capacity, Production Value, Value of Raw Materials and Labor. VIKOR is a ranking method using a multi-criteria ranking index based on a certain measure of proximity to the ideal solution. So this application will choose a small and medium industry that is suitable for assistance in its development. The test results show that from making this application using the Vikor method has an accuracy rate of 73%.

Implementation of Decision Support System for Determination of Employee Contract Extension Method Using SAW

Effect of rapid technological developments have contributed so as to provide an opportunity to study and analyze a problem. In the company of PT. Cipta Mandiri Agung Jaya, employee contract renewal process is done in less efficient. In general, the process of employee contract extension is carried out by way of division form a contract extension, has not made an assessment atupun evaluation of each employee. Through employee contract renewal process conducted so far gives a great influence to the advancement of the company. On this occasion, in view of the managerial aspects of the formulation of the problem is how to implement the SAW method in the determination of employee contract extension. How to implement a decision support system in the determination of contract extensions employees at PT. Court Of Human Self Jaya, how to design decision support systems in the SAW method using the employee contract extension programming language VB 2010 and the Microsoft Access database. The purpose was to analyze the issue formulation SAW method in the determination of employee contract extension, implementing a decision support system in the determination of contract extensions employees at PT. Court Of Human Self Jaya, pendukunng system design decisions in the SAW method using the employee contract extension programming language VB 2010 and the Microsoft Access database.

Decision Support System for Determination of Village Fund Allocation Using AHP Method

This study aims to describe the management of the allocation of village funds in physical development in the village of Siborna, Panei Subdistrict, Simalungun Regency and to identify inhibiting factors and supporting factors in managing village fund allocation. The focus of this research is the management of village fund allocations which include: planning, implementation. The determination of the allocation of village funds will later use the Analytical Hierarchy Process (AHP) method with 4 criteria including: villagers, rural poor, village area and Village Geographical Difficulty Index. Alternative Samples in this study were 4 villages, including the villages of Sosor Hamlet, Simpang Bahbirong Hamlet, Hutabagasan Hamlet and Kebun Sayur Hamlet. The results of this study using the AHP method obtained by the Village of Vegetable Farm Village is an alternative with the highest value that is eligible to get a village fund allocation from the government with a value of 3,0000

Decision Support System for Determination of Salaries Employees in Civil Service Police Unit Deli Serdang With Simple Additive weighting method (SAW)

This study examines how to design an application for the Deli Serdang Civil Service Police Unit in order to Facilitate the Process of Determining Salaries employee. With this application, it is hoped that it will make it Easier for the Office to Determine the determination of employee Salaries so that it is faster and more accurate. The SAW method certainly uses a more Appropriate assessment Because it is based on a criterion value of a predetermined preference weight. With the existence of accurate the data will be Able to minimize the time wasted and Be Able to use the system that is being designed. Data managed in the Office still uses Excel so that in its implementation the the data is still vulnerable to being scattered and the possibility of vulnerability to damage and loss of data.

A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN

A hybrid method for developing a more principled approach is presented to determine the life expectancy of transformers. The approach is constructed on an economic analysis of the transformers operational characteristics in combination  with the technical issues incorporated in the decision process. In this method, firstly life time of transformer is estimated using a hybrid method based on Monte Carlo algorithm and artificial neural network. Also Pareto distribution function is applied to consider health history of transformer and uncertainty in DP behavior of transformer. In the next step, a method is proposed in order to estimate economic replacement time of transformer. This method is based on the well-known bathtub failure model, containing repairs and scheduled maintenance, in order to achieve at a more economically aim  replacing decision. This aim is obtained in part by considering the uncertainty intrinsic in transformer failures and the corresponding discontinuations in power. In essence, this method organizes a decision support system for determination the life expectancy of a transformer. Simulation results show the high accuracy and functionality of the proposed approach in estimating economic replacing time of the Transformer.

SISTEM APLIKASI PENGELOLAHAN DATA KOMPLAIN UNTUK MENGUKUR KUALITAS KINERJA UNIT PDE BERBASIS WEB DI RSUD

Decision Support Systems (DSS) are interactive computer-based system, which helps decision-makers to use the data and models to solve unstructured problems. Decisions can be taken by right (time and objective) and can be accounted for if it is supported by a system without doing individual aspects of the decision itself as well as the context of the problems faced.Thus the authors will take advantage of the application system pengelolahan complaint of data to measure performance web-based EDI unit. This system which will bridge the gap between students and the concentration of the majors to be taken with the help of the head of the study program. Decision Support System for Determination of Concentration Programs are designed using the programming language PHP and Mysql data base. And system design using CMS as decision support in determining the concentration of the majors to be taken in studying at the Faculty of Economics, University of the Free Pasuruan. Students are no longer confused / scared wrong in taking decisions for determination majors is to be retrieved

A decision support system for determination of a sustainable pit limit

There is an increasing interest among practitioners to incorporate sustainability issues in evaluating the projects. However, it is a complex task to deal with the conflicting aspects of sustainable development. Nowadays, most of the minerals are produced by surface mining methods; where the economic, social and environmental impacts of these operations are closely related to Ultimate Pit Limit (UPL). UPL actuates the amount of mineable reserves, stripping ratio, location of waste dump and tailings dam, and the area of lands that will be disturbed at the end of a mining operation. Therefore, it has a significant contribution on the sustainability of the mining community. UPL determination is a strategic decision and it requires a Decision Support System (DSS) to evaluate and understand the outcome of each design alternative for optimal decision-making. In this DSS, after recognizing the indicators, it benefits from a matrix method to assess and measure the sustainability of different UPL alternatives based on subjective judgments. Moreover, some future information is unavailable and imprecise. In that regard, fuzzy logic is used to resolve uncertainties. Sungun Copper Mine data is used to show the effect of considering sustainability issues in UPL determination. The selected UPL changes net present value (NPV) and the mine life by 7% and 13 years respectively compared to the case where just economic issues are considered. The system shows to be efficient in assessing the sustainability issues of design alternatives during the feasibility studies.

A Decision Support System for Determination of Fetal Well-Being from Cardiotocogram Data

In this study, we propose a decision support system for assessment of fetal well-being from cardiotocogram data. The system is based on Principal Component Analysis and Least Squares Support Vector Machines. Principal Component Analysis is used for feature reduction of the cardiotocogram data set. Classification of the data set with reduced features is made by using Least Squares Support Vector Machines. Performance analysis of the proposed system is examined on the cardiotocogram data set availabe on UCI Machine Learning Repository by using 10-fold Cross Validation procedure. Experimetal results show that the proposed system has %98,74 classification accuracy, %98,86 sensitivity and %98,73 specificity rates.

Web Application for Hierarchical Organizational Structure Optimization – Human Resource Management Case Study

Abstract Background and Purpose: In a complex strictly hierarchical organizational structure, undesired oscillations may occur, which have not yet been adequately addressed. Therefore, parameter values, which define fluctuations and transitions from one state to another, need to be optimized to prevent oscillations and to keep parameter values between lower and upper bounds. The objective was to develop a simulation model of hierarchical organizational structure as a web application to help in solving the aforementioned problem. Design/Methodology/Approach: The hierarchical structure was modeled according to the principles of System Dynamics. The problem of the undesired oscillatory behavior was addressed with deterministic finite automata, while the flow parameter values were optimized with genetic algorithms. These principles were implemented as a web application with JavaScript/ECMAScript. Results: Genetic algorithms were tested against well-known instances of problems for which the optimal analytical values were found. Deterministic finite automata was verified and validated via a three-state hierarchical organizational model, successfully preventing the oscillatory behavior of the structure. Conclusion: The results indicate that the hierarchical organizational model, genetic algorithms and deterministic finite automata have been successfully implemented with JavaScript as a web application that can be used on mobile devices. The objective of the paper was to optimize the flow parameter values in the hierarchical organizational model with genetic algorithms and finite automata. The web application was successfully used on a three-state hierarchical organizational structure, where the optimal flow parameter values were determined and undesired oscillatory behavior was prevented. Therefore, we have provided a decision support system for determination of quality restructuring strategies.

A Decision Support System for the determination of concession period length in transportation project under BOT contract

The determination of the concession period length directly affects both the involved government and private investors' financial returns and risks in a Build–Operate–Transfer project. In existing methods, the concession period is usually determined by the concessionaire depending on their expected investment return, or predicted without comprehensive analysis of the influential factors. In view of this, a Decision Support System for concession period length determination (CPLD) was developed and, as demonstrated herein provides a possible way of solving the concession period problem, especially under the impact of influential factors. The influential factors were firstly investigated. Then the overall model was developed using the Monte Carlo method. A dataset of a simulated highway project was employed to verify the model. The results show that the developed model can generate a set of alternatives, among which a reasonable one could be selected after balancing the interests of both sides.

A decision support system for cost determination in grain storage facility operations

Many research works have being carried out on analyzing grain storage facility costs; however a few of them had taken into account the analysis of factors associated to all pre-processing and storage steps. The objective of this work was to develop a decision support system for determining the grain storage facility costs and utilization fees in grain storage facilities. The data of a CONAB storage facility located in Ponta Grossa - PR, Brazil, was used as input of the system developed to analyze its specific characteristics, such as amount of product received and stored throughout the year, hourly capacity of drying, cleaning, and receiving, and dispatch. By applying the decision support system, it was observed that the reception and expedition costs were exponentially reduced as the turnover rate of the storage increased. The cleaning and drying costs increased linearly with grain initial moisture. The storage cost increased exponentially as the occupancy rate of the storage facility decreased.