Estimasi Parameter Regresi Kuantil Dengan Fungsi Spline Truncated Pada Kasus Demam Berdarah Dengue Di Kota Surabaya

Matdoan, Muhammad Yahya; Balami, Abdul Malik

doi:10.24252/msa.v7i1.7511

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Beberapa penelitian DBD yang menggunakan regresi kuantil diaplikasikan pada kota yang berbeda, diantaranya DBD di Kota Surabaya [3], DBD di Kota Palu [4], dan DBD di Kota Makassar [5].…”

Section: Pendahuluanunclassified

Model Regresi Kuantil Spline Orde Dua Dalam Menganalisis Perubahan Trombosit Pasien Demam Berdarah

et al. 2023

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Quantile regression can be used to analyze data containing outliers including DHF data. The spline is able to identify several patterns of change in the regression model, so this study uses a second-order quantile spline regression model in analyzing DHF data that occurred in Makassar City. In this article, the authors analyze the pattern of changes that occur in platelets based on changes in the hematocrit content of DHF patients. The selected quantiles are quartiles 0.25; 0.50; and 0.75 with 3-knot points. Based on the results of the analysis, the minimum GCV value obtained at the use of knot points is 30.30; 44.80; 47.10 for the 0.25 quartile; 0.50; and 0.75. This shows that in each quartile, there are four patterns of quadratic changes that occur in the platelet count of DHF patients. The parabolic curve formed in each pattern segmentation shows that there are times when platelets are increasing and there are times when platelets are decreasing. However, the average platelets decreased drastically, especially when the hematocrit reached 47.10%.

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“…Beberapa penelitian DBD yang menggunakan regresi kuantil diaplikasikan pada kota yang berbeda, diantaranya DBD di Kota Surabaya [3], DBD di Kota Palu [4], dan DBD di Kota Makassar [5].…”

Section: Pendahuluanunclassified

Model Regresi Kuantil Spline Orde Dua Dalam Menganalisis Perubahan Trombosit Pasien Demam Berdarah

et al. 2023

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“…Some of the benefits for traffic violators with the E-Tilang system are transparency of the actions of public officials in government administration activities, community empowerment where the community is expected to be able to transmit an attitude of orderly traffic after knowing the existing regulations to those around them so as not to violate existing regulations [7]. The responsiveness of the authorities will be higher and more responsive and more responsive to public complaints in terms of traffic and justice where every violator who commits the same violation will receive the same fine or punishment without discrimination [8] [9].…”

Section: Introductionmentioning

confidence: 99%

Text Clustering Analysis for Public Sentiment Based on Twitter Opinions on E-Tilang

Pattiasina,

Renwarin,

F. Umar

et al. 2023

variance

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Electronic Tickets (E-Tilang) have the advantage of faster service and have a very practical and fast system. Implementation of the E-Tilang system to facilitate transparency in the implementation of the ticket process or as a substitute for the ticket process on the spot. The effectiveness and efficiency of the E-Tilang system has generated various comments from the public. This study aims to determine the public's perception (sentiment) about E-Tilang. The data used in this study comes from people's tweets on Twitter about electronic tickets. This research shows that from the 524 Tweet data obtained, 252 people have positive sentiments, there are 98 people who have negative sentiments and there are people who have 174 neutral sentiments towards E-Tilang.

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Estimasi Model Regresi Kuantil Spline Kuadratik pada Data Trombosit dan Hematokrit Pasien DBD

et al. 2020

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Nonparametric quantile regression is used to estimate the regression function when assumptions about the shape of the regression curve are unknown. It is only assumed to be subtle by involving quantile values. One estimator in nonparametric regression is spline. The segmented properties of the spline provide more flexibility than ordinary polynomials. Therefore, the nature of the spline makes it possible to adapt more effectively to the local characteristics of a function or data. This study proposes to get the results of the estimation platelet count model to the hematocrit value of DHF. The optimal model obtained from the estimation of quadratic spline quantile regression is at quantile 0.5 with one knot and the GCV value is 41.5. The results of the estimation show that there is a decrease in platelet counts as the percentage of hematocrit increase.

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Estimasi Parameter Regresi Kuantil Dengan Fungsi Spline Truncated Pada Kasus Demam Berdarah Dengue Di Kota Surabaya

Cited by 3 publications

References 4 publications

Model Regresi Kuantil Spline Orde Dua Dalam Menganalisis Perubahan Trombosit Pasien Demam Berdarah

Model Regresi Kuantil Spline Orde Dua Dalam Menganalisis Perubahan Trombosit Pasien Demam Berdarah

Text Clustering Analysis for Public Sentiment Based on Twitter Opinions on E-Tilang

Estimasi Model Regresi Kuantil Spline Kuadratik pada Data Trombosit dan Hematokrit Pasien DBD

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