Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method

Mira Meilisa; Bambang Widjanarko Otok; Jerry Dwi Trijoyo Purnomo

doi:10.1063/5.0131508

Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method

Mira Meilisa
, Bambang Widjanarko Otok^*
, Jerry Dwi Trijoyo Purnomo

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember
Muhammadiyah University of West Sumatera

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Dengue fever is a disease that still has a global problem in more than 100 countries in the world. If the DBD system is infected, the virus can be used to treat the virus. Dengue fever with four degrees of severity, such as class I (mild), class II (moderate), class III (severe) and class IV (very severe). In this study, patients were divided into two categories, severe and non-severe. One statistical method that can be used for keeping the factors that vary as you love to be sued is Multivariate Adaptive Regression Spline (MARS). MARS is a nonparametric regression model that can be used for the data problem that knows bestas crank dimension and more than the prediction that corresponds to the respondent. MARS is a very complex complex with spline and Recursive Partitioning Regression (RPR). In this study we cautioned the use of MARS to determine the factors that caused berdarah fever in Rumah Sakit Islam Jemursari Surabaya. Minimum data rate General Cross Verification GCV 0.04181718 for Basic aggregation (BF) = 51, Maximum Interaction (MI) = Minimum Observation (MO) 3 days = 2. APER and Press'Q.

Original language	English
Title of host publication	8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021
Subtitle of host publication	Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals
Editors	Nur Aeni Ariyanti, Kartika Ratna Pertiwi, Heru Sukoco, Fika Fauzi, Paramita Cahyaningrum Kuswandi
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735443143
DOIs	https://doi.org/10.1063/5.0131508
Publication status	Published - 17 Mar 2023
Event	8th International Conference on Research Implementation and Education of Mathematics and Science: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals, ICRIEMS 2021 - Yogyakarta, Indonesia Duration: 27 Aug 2021 → 28 Aug 2021

Publication series

Name	AIP Conference Proceedings
Volume	2556
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	8th International Conference on Research Implementation and Education of Mathematics and Science: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals, ICRIEMS 2021
Country/Territory	Indonesia
City	Yogyakarta
Period	27/08/21 → 28/08/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1063/5.0131508

Cite this

Meilisa, M., Otok, B. W., & Purnomo, J. D. T. (2023). Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method. In N. A. Ariyanti, K. R. Pertiwi, H. Sukoco, F. Fauzi, & P. C. Kuswandi (Eds.), 8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals Article 050003 (AIP Conference Proceedings; Vol. 2556). American Institute of Physics Inc.. https://doi.org/10.1063/5.0131508

Meilisa, Mira ; Otok, Bambang Widjanarko ; Purnomo, Jerry Dwi Trijoyo. / Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method. 8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals. editor / Nur Aeni Ariyanti ; Kartika Ratna Pertiwi ; Heru Sukoco ; Fika Fauzi ; Paramita Cahyaningrum Kuswandi. American Institute of Physics Inc., 2023. (AIP Conference Proceedings).

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title = "Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method",

abstract = "Dengue fever is a disease that still has a global problem in more than 100 countries in the world. If the DBD system is infected, the virus can be used to treat the virus. Dengue fever with four degrees of severity, such as class I (mild), class II (moderate), class III (severe) and class IV (very severe). In this study, patients were divided into two categories, severe and non-severe. One statistical method that can be used for keeping the factors that vary as you love to be sued is Multivariate Adaptive Regression Spline (MARS). MARS is a nonparametric regression model that can be used for the data problem that knows bestas crank dimension and more than the prediction that corresponds to the respondent. MARS is a very complex complex with spline and Recursive Partitioning Regression (RPR). In this study we cautioned the use of MARS to determine the factors that caused berdarah fever in Rumah Sakit Islam Jemursari Surabaya. Minimum data rate General Cross Verification GCV 0.04181718 for Basic aggregation (BF) = 51, Maximum Interaction (MI) = Minimum Observation (MO) 3 days = 2. APER and Press'Q.",

author = "Mira Meilisa and Otok, \{Bambang Widjanarko\} and Purnomo, \{Jerry Dwi Trijoyo\}",

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language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Ariyanti, \{Nur Aeni\} and Pertiwi, \{Kartika Ratna\} and Heru Sukoco and Fika Fauzi and Kuswandi, \{Paramita Cahyaningrum\}",

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Meilisa, M, Otok, BW & Purnomo, JDT 2023, Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method. in NA Ariyanti, KR Pertiwi, H Sukoco, F Fauzi & PC Kuswandi (eds), 8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals., 050003, AIP Conference Proceedings, vol. 2556, American Institute of Physics Inc., 8th International Conference on Research Implementation and Education of Mathematics and Science: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals, ICRIEMS 2021, Yogyakarta, Indonesia, 27/08/21. https://doi.org/10.1063/5.0131508

Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method. / Meilisa, Mira; Otok, Bambang Widjanarko ; Purnomo, Jerry Dwi Trijoyo.
8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals. ed. / Nur Aeni Ariyanti; Kartika Ratna Pertiwi; Heru Sukoco; Fika Fauzi; Paramita Cahyaningrum Kuswandi. American Institute of Physics Inc., 2023. 050003 (AIP Conference Proceedings; Vol. 2556).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method

AU - Meilisa, Mira

AU - Otok, Bambang Widjanarko

AU - Purnomo, Jerry Dwi Trijoyo

PY - 2023/3/17

Y1 - 2023/3/17

N2 - Dengue fever is a disease that still has a global problem in more than 100 countries in the world. If the DBD system is infected, the virus can be used to treat the virus. Dengue fever with four degrees of severity, such as class I (mild), class II (moderate), class III (severe) and class IV (very severe). In this study, patients were divided into two categories, severe and non-severe. One statistical method that can be used for keeping the factors that vary as you love to be sued is Multivariate Adaptive Regression Spline (MARS). MARS is a nonparametric regression model that can be used for the data problem that knows bestas crank dimension and more than the prediction that corresponds to the respondent. MARS is a very complex complex with spline and Recursive Partitioning Regression (RPR). In this study we cautioned the use of MARS to determine the factors that caused berdarah fever in Rumah Sakit Islam Jemursari Surabaya. Minimum data rate General Cross Verification GCV 0.04181718 for Basic aggregation (BF) = 51, Maximum Interaction (MI) = Minimum Observation (MO) 3 days = 2. APER and Press'Q.

AB - Dengue fever is a disease that still has a global problem in more than 100 countries in the world. If the DBD system is infected, the virus can be used to treat the virus. Dengue fever with four degrees of severity, such as class I (mild), class II (moderate), class III (severe) and class IV (very severe). In this study, patients were divided into two categories, severe and non-severe. One statistical method that can be used for keeping the factors that vary as you love to be sued is Multivariate Adaptive Regression Spline (MARS). MARS is a nonparametric regression model that can be used for the data problem that knows bestas crank dimension and more than the prediction that corresponds to the respondent. MARS is a very complex complex with spline and Recursive Partitioning Regression (RPR). In this study we cautioned the use of MARS to determine the factors that caused berdarah fever in Rumah Sakit Islam Jemursari Surabaya. Minimum data rate General Cross Verification GCV 0.04181718 for Basic aggregation (BF) = 51, Maximum Interaction (MI) = Minimum Observation (MO) 3 days = 2. APER and Press'Q.

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DO - 10.1063/5.0131508

M3 - Conference contribution

AN - SCOPUS:85151263139

T3 - AIP Conference Proceedings

BT - 8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021

A2 - Ariyanti, Nur Aeni

A2 - Pertiwi, Kartika Ratna

A2 - Sukoco, Heru

A2 - Fauzi, Fika

A2 - Kuswandi, Paramita Cahyaningrum

PB - American Institute of Physics Inc.

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Meilisa M, Otok BW , Purnomo JDT. Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method. In Ariyanti NA, Pertiwi KR, Sukoco H, Fauzi F, Kuswandi PC, editors, 8th International Conference on Research Implementation and Education of Mathematics and Science, ICRIEMS 2021: Transforming Science Literacy into A New Normal Digital World to Achieve Sustainable Development Goals. American Institute of Physics Inc. 2023. 050003. (AIP Conference Proceedings). doi: 10.1063/5.0131508

Factor affecting the severity of the dengue fever using multivariate adaptive regression spline (Mars) method

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