The construction of effectiveness evaluation model based on system architecture

Xia, Xiaokai; Qu, Kai; Shi, Jing; Fan, Zhiqiang; Xu, Luo

doi:10.1109/syseng.2017.8088319

Cited by 3 publications

(1 citation statement)

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“…In other research on the effectiveness of information systems, the calculation model and evaluation of system effectiveness are based on the analytic hierarchy process (AHP), where the system architecture can be evaluated to support the characteristics of the dataset. [19], [20]. The purpose of this study is to develop a decision support system to analyze the effectiveness of the implementation of information systems using a web-based naïve bayes classifier that can help companies to evaluate and determine the appropriate followup.…”

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confidence: 99%

Measure the effectiveness of information systems with the naïve bayes classifier method

Triayudi

Sumiati

Dwiyatno

et al. 2021

IJ-AI

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<span id="docs-internal-guid-a31a7709-7fff-65df-d360-f52175b11d47"><span>Technological advances at this time are developing very fast, information systems became the frontline in technological advancements, the need for information systems to support jobs is increasingly high. However, its implementation for users does not have a significant impact, so that it needs to be reviewed and re-evaluated in the use of the information system built. The naive bayes classifier method can provide "effective" and "ineffective" conclusions and is used as material for evaluation and improvement. The purpose of this study is to contribute to measuring the effectiveness of the information system, to solve problems with the naïve bayes classifier method approach which has advantages in the process of classifying data and predicting data. From the test results three times, training has been conducted using 100 data, accuracy value of 84.82% and error 15.18%.</span></span>

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confidence: 99%