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99 results for “Decision Support Model”
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Research ArticleOpen accessPhrase in the titleThe Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New EmployeesGregoryus Imannuel Perdana, Ditdit Nugeraha UtamaSalary determination for prospective new employees is critical in determining the level of employee satisfaction that can motivate people. The goal of this research is to develop a decision support model to determine salaries for prospective new employees by combining three methods: Multistage fuzzy logic, and conventional and simple mathematical models. Fuzzy logic is used to calculate fuzzy parameters, while … …Journal of Computer Science, Vol. 19, Issue 7 · 7 Jun 2023 · 5,275 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDecision Support Model to Determine the Best Employees (Mechanic) using Fuzzy Logic and Profile MatchingHiromi Jorge Akbar Aljofarinski, Ditdit Nugeraha UtamaIn a company, verifying the best employees is practically very essential. Knowing the best employees or understanding each employee's performance can be an advantage for the company to evaluate the whole company's performance and improve the lack. Determining the best employees is also necessary for giving appreciation to employees and is expected to be able to expand the performance and … …Journal of Computer Science, Vol. 18, Issue 6 · 24 Jun 2022 · 5,847 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDecision Support Model for Determining the Best Employee using Fuzzy Logic and Simple Additive WeightingLucky Christopher Chen, Ditdit Nugeraha UtamaSpecifically, for an information technology company, identifying the best employees (the best programmers) is valuable. The election is intended to improve the performance of the company's programmers. The company's performance will improve as programmers' performance improves. This study attempts to develop a Decision Support Model (DSM) to identify the best employees (i.e., programmers) in the firm. The model considered nine … …Journal of Computer Science, Vol. 18, Issue 6 · 24 Jun 2022 · 6,100 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleExtended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaLucky Christopher Chen, Nurcahyo Wibowo, Ditdit Nugeraha UtamaFood crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region’s agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 6,501 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaDitdit Nugeraha Utama, Alvali Zaqi Taufan, Al Ghifari Hartzani et al.Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,504 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDecision Support Model for Employee Selection Based on Data Mining and Fuzzy LogicClarissa Elfira Amos Pah, Ditdit Nugeraha UtamaThis paper explains the use of data mining and fuzzy logic in optimizing decision making for employee recruitment, especially in IT Consultant company. This method addresses the company's need to recruit employees with more objective and accurate by utilizing historical data to find patterns of potential employees for the company. First, classification will be carried out using data mining to … …Journal of Computer Science, Vol. 16, Issue 5 · 4 Jun 2020 · 7,667 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive WeightingTimothy Marcelleon, Ditdit Nugeraha UtamaIt is vital to determine the most dangerous types of trash in terms of the environment and human health. The purpose of this selection is to make readers aware of the impact of garbage on the environment. As human knowledge of the environment grows, the utilization of garbage will naturally decrease. The goal of this research is to create a … …Journal of Computer Science, Vol. 19, Issue 1 · 19 Jan 2023 · 5,604 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,993 accessesView PDFCite