Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach

Masdalifa Pasaribu; Albiner Siagian; Rahayu Lubis; Dewi Ramadani; Rika Subarniati Triyoga; Etti Sudaryati

doi:10.1088/1757-899X/851/1/012044

Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach

Masdalifa Pasaribu, Albiner Siagian, Rahayu Lubis, Dewi Ramadani, Rika Subarniati Triyoga, Etti Sudaryati

Faculty of Public Health

Research output: Contribution to journal › Conference article › peer-review

Abstract

Health promotion is the process of enabling people to increase control over and to improve their health. Health promotion is a global issue. In the most city in Indonesia, health is improving. In this case, we collected the elderly data from Deli Serdang, North Sumatera, Indonesia. The aim of this study to classify the elderly dataset using Support Vector Machine and Logistic Regression as a machine learning approach. The result of this study indicated the SVM and Logistic Regression is available to train and test the dataset. The dominant sample in this study is female. The evaluation of the elderly dataset using two models of machine learning indicated there is a positive attitude with the age for health promotion.

Original language	English
Article number	012044
Journal	IOP Conference Series: Materials Science and Engineering
Volume	851
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/851/1/012044
Publication status	Published - 28 May 2020
Event	2020 International Conference on Information Technology and Engineering Management, ITEM 2020 - Batam, Indonesia Duration: 2 Apr 2020 → 4 Apr 2020

Access to Document

10.1088/1757-899X/851/1/012044

Cite this

@article{9bf5c1f90af64441a9a02012991c9330,

title = "Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach",

abstract = "Health promotion is the process of enabling people to increase control over and to improve their health. Health promotion is a global issue. In the most city in Indonesia, health is improving. In this case, we collected the elderly data from Deli Serdang, North Sumatera, Indonesia. The aim of this study to classify the elderly dataset using Support Vector Machine and Logistic Regression as a machine learning approach. The result of this study indicated the SVM and Logistic Regression is available to train and test the dataset. The dominant sample in this study is female. The evaluation of the elderly dataset using two models of machine learning indicated there is a positive attitude with the age for health promotion.",

author = "Masdalifa Pasaribu and Albiner Siagian and Rahayu Lubis and Dewi Ramadani and {Subarniati Triyoga}, Rika and Etti Sudaryati",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 2020 International Conference on Information Technology and Engineering Management, ITEM 2020 ; Conference date: 02-04-2020 Through 04-04-2020",

year = "2020",

month = may,

day = "28",

doi = "10.1088/1757-899X/851/1/012044",

language = "English",

volume = "851",

journal = "IOP Conference Series: Materials Science and Engineering",

issn = "1757-8981",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach

AU - Pasaribu, Masdalifa

AU - Siagian, Albiner

AU - Lubis, Rahayu

AU - Ramadani, Dewi

AU - Subarniati Triyoga, Rika

AU - Sudaryati, Etti

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/5/28

Y1 - 2020/5/28

N2 - Health promotion is the process of enabling people to increase control over and to improve their health. Health promotion is a global issue. In the most city in Indonesia, health is improving. In this case, we collected the elderly data from Deli Serdang, North Sumatera, Indonesia. The aim of this study to classify the elderly dataset using Support Vector Machine and Logistic Regression as a machine learning approach. The result of this study indicated the SVM and Logistic Regression is available to train and test the dataset. The dominant sample in this study is female. The evaluation of the elderly dataset using two models of machine learning indicated there is a positive attitude with the age for health promotion.

AB - Health promotion is the process of enabling people to increase control over and to improve their health. Health promotion is a global issue. In the most city in Indonesia, health is improving. In this case, we collected the elderly data from Deli Serdang, North Sumatera, Indonesia. The aim of this study to classify the elderly dataset using Support Vector Machine and Logistic Regression as a machine learning approach. The result of this study indicated the SVM and Logistic Regression is available to train and test the dataset. The dominant sample in this study is female. The evaluation of the elderly dataset using two models of machine learning indicated there is a positive attitude with the age for health promotion.

UR - http://www.scopus.com/inward/record.url?scp=85086784744&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/851/1/012044

DO - 10.1088/1757-899X/851/1/012044

M3 - Conference article

AN - SCOPUS:85086784744

SN - 1757-8981

VL - 851

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 1

M1 - 012044

T2 - 2020 International Conference on Information Technology and Engineering Management, ITEM 2020

Y2 - 2 April 2020 through 4 April 2020

ER -

Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach

Abstract

Access to Document

Fingerprint

Cite this