The software created is able to share understanding with the community about Aglaonema sp and monstera adansonii plants and what treatment should be given to their ornamental plants The Naïve Bayes method is a computational technique for predicting probabilities by calculating how many possible sets by adding up the frequency and combined values of the dataset. One of the statistical data calculation methods is Naïve Bayes. An expert system is part of an intelligence that uses a person's knowledge that is summarized and processed carefully to solve problems. Due to the difficulty of finding an expert, a system that is able to keep knowledge from an expert is required. Therefore, to help the community in maintaining Aglaonema sp and Monstera Adansonii plants, an expert or expert in the field of ornamental plants is takes. The least number of triggers is knowledge of the keepers in caring for their plants. Despite the high popularity of Aglaonema sp and Monstera adansonii, not many keepers know the problems faced by their plants. Aglaonema sp and Monstera Adansonii become the target of the keepers because the colors and patterns on the leaves are unique. Then, the objective of this research is the presentation of the most effective tools of the methodology and how they can be applied to any type of problem to increase efficiency and productivity, only and so that beginning practitioners can begin to implement it in any project regardless of the degree they are studying.Īglaonema sp and Monstera Adansonii are the most popular ornamental plants during the COVID-19 pandemic. In this way, in each phase of the project or DMAIC process, different types of quality tools are used that serve to obtain the objective of each stage. With this DMAIC methodology, the reduction of the variation that arises from the types of problems that were mentioned within the 6 Sigma methodology is sought. A DMAIC project stands for Define, Measure, Analyze, Implement Improvements, and Control. Abstract 6 Sigma works with projects called DMAIC to reduce problems that are classified as quality-critical, transportation-critical, or cost critical. Then, the objective of this research is the presentation of the most effective tools of the methodology and how they can be applied to any type of problem to increase efficiency and productivity, only and so that beginning practitioners can begin to implement it in any project regardless of the degree they are studying. We opted for a new model of Ishikawa diagram, resulting from the composition of three fish skeletons corresponding to the main categories of parts accuracy.Ħ Sigma works with projects called DMAIC to reduce problems that are classified as quality-critical, transportation-critical, or cost critical. For each of the three categories of causes there were distributed potential secondary causes on groups of M (man, methods, machines, materials, environment/ medio ambiente-sp.). We took into account the main components of parts precision in the machine construction field. The paper shows the potential causes of the studied problem, which were firstly grouped in three categories, as follows: causes that lead to errors in assessing the dimensional accuracy, causes that determine errors in the evaluation of shape and position abnormalities and causes for errors in roughness evaluation. The most known Ishikawa models are 4M, 5M, 6M, the initials being in order: materials, methods, man, machines, mother nature, measurement. The studied problem was"errors in the evaluation of partsprecision" and this constitutes the head of the Ishikawa diagram skeleton.All the possible, main and secondary causes that could generate the studied problem were identified. The paper presents the results of a study concerning the use of the Ishikawa diagram in analyzing the causes that determine errors in the evaluation of theparts precision in the machine construction field.
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