Analysis Quality of Service using Service Performance and Importance Performance Analysis Method at Community Health Center

Indonesian Journal of Computer Science, Год журнала: 2024, Номер 13(3)

Опубликована: Июнь 15, 2024

Community health center is a services in Indonesia that aims to organize first-level public efforts. The current condition observed level one centers relates the provided. A large portion of patients who have experienced express dissatisfaction with service This research determine quality community and provide advices improve services. method used this Servperf Importance Performance Analysis. Based on performance method, mean 3,39 importance 4,38. Meanwhile, Analysis obtained conformity between 77,49% seven atrributes dimensions enter quadrant I are top priority for improvement. proposed improvements made future by adjusting main attributes diagram.

Язык: Английский

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On the Timelike Circular Surface and Singularities in Minkowski 3-Space

Axioms, Год журнала: 2023, Номер 12(10), С. 989 - 989

Опубликована: Окт. 19, 2023

In this paper, we have parameterized a timelike (Tlike) circular surface (CIsurface) and obtained its geometric properties, including striction curves, singularities, Gaussian mean curvatures. Afterward, the situation for Tlike roller coaster (RCOsurface) to be flat or minimal is examined in detail. Further, illustrate approach’s outcomes with number of pertinent examples.

Язык: Английский

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A Comprehensive Approach to Total Organic Carbon Prediction: Dual-Output Neural Networks and Ensemble Learning

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Дек. 21, 2023

Abstract This paper explores a neural network-based approach for constructing prediction intervals (PIs) of total organic carbon (TOC) content. In contrast to conventional methods that focus solely on minimizing error, the proposed method utilizes dual-output network optimized by novel loss function called \({\mathcal{L}}_{QCE}\) emphasizes overall PI quality through balanced consideration coverage probability, interval width, and cumulative deviation. Consequently, this facilitates generation higher-quality PIs under specified significance levels. Case studies illustrate that, in comparison prevailing techniques such as Pearce's Gaussian process regression, our achieves notable over 40% reduction invalid intervals, accompanied an approximate 50% improvement quality. Additionally, we introduce ensemble learning assess inherent model uncertainties, further augmenting precision PIs. summary, presented methodology offers competitive solution uncertainty quantification well log data mining, providing innovative effective enhance TOC

Язык: Английский

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A Computer Based Evaluation System: Design, Implementation and Results on General Chemistry

2021 International Conference on Computational Science and Computational Intelligence (CSCI), Год журнала: 2023, Номер unknown, С. 1714 - 1720

Опубликована: Дек. 13, 2023

Язык: Английский

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