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GENERALIZED CONFIRMATORY FACTOR ANALYSIS FOR KNOWING IMPACT OF KNOWLEDGE, ATTITUDES, AND BEHAVIORAL FACTORS HIV/AIDS IN INDONESIA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 0695–0706

DOI
10.30598/barekengvol17iss2pp0695-0706
ISSN
2615-3017, 1978-7227
Published
2023-06-11
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The cumulative number of detected HIV/AIDS cases in the January – March 2021 period is 9,327, consisting of 7,650 HIV and 1,677 AIDS reported by 498 districts and cities from 514 districts and cities in Indonesia. Human Immunodeficiency Virus (HIV) is the virus that causes Acquired Immunodeficiency Syndrome (AIDS). Several factors that influence the spread of HIV/AIDS include knowledge, attitudes and behavior about HIV/AIDS. Someone who gains knowledge about HIV/AIDS will have high self-confidence and a positive outlook on life and be more optimistic in taking HIV/AIDS prevention actions. The main objective of this study is to determine the influence of external factors which include demographic, social and economic aspects, as well as internal factors which include knowledge, attitudes and behavior to the level of transmission of HIV/AIDS. By using the CFA approach, it can be seen which indicators have the greatest influence on the latent variables of knowledge, attitudes, and behavior or called loading factors. The data used is secondary data from a 5-year survey from the Central Statistics Agency, namely the 2017 Indonesian Demographic and Health Survey (IDHS) published at the end of 2018. The CFA results show that the P11 variable (about known infections) has the largest loading factor value, which is 0.613 in the variable.. hidden. knowledge. In the latent variable of attitude, the S1 variable (about identifying how the respondent knows someone is infected with HIV-AIDS) has the largest loading factor value of 0.514. While the behavioral latent variable, the variable R8 (whether men have been infected with sexually transmitted diseases (STI) with symptoms) has the largest loading factor value, which is 0.954.

Collaboration network of the authors

40 authors · 167 co-authorship links · showing the 40 most connected

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  • University of Brawijaya
  • Affiliation unknown
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  • Same organisation
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  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Diego IrsandyAffiliation unknown3
Henny PramoedyoUniversity of Brawijaya3
Adji Achmad Rinaldo FernandesUniversity of Brawijaya3
Atiek IrianyUniversity of Brawijaya3
Wigbertus NgabuAffiliation unknown2
Rahma FitrianiAffiliation unknown2
Achmad EfendiAffiliation unknown2
Adji FernandesAffiliation unknown1
SolimunAffiliation unknown1
Dea Saraswati PramaningrumUniversity of Brawijaya1
Fachira Haneinanda JuniantoUniversity of Brawijaya1
Alya Fitri SyalsabillaAffiliation unknown1
Alya Fitri SyalsabillaUniversity of Brawijaya1
Agus Fachrur RozyUniversity of Brawijaya1
Nabila Ayunda SoviaAffiliation unknown1
Luthfatul AmalianaAffiliation unknown1
Rossanda Sevia GadisAffiliation unknown1
Naurah Atikah RabbaniAffiliation unknown1
Delfriana AyuAffiliation unknown1
Adinda Tri OktavianiAffiliation unknown1
Aulina Madhani SaragihAffiliation unknown1
Bagus Halfin ApriansyahAffiliation unknown1
Citra Mutiara LubisAffiliation unknown1
Desy Herawaty HarahapAffiliation unknown1
Herlisa SuhadaAffiliation unknown1
Inggiet AlvinaAffiliation unknown1
Lidya Hariyati RidhoAffiliation unknown1
Maisya NabillaAffiliation unknown1
Raudhatun NissaAffiliation unknown1
Regita CahyaniAffiliation unknown1
Zaid Al AfghaniAffiliation unknown1
Maria UlfaAffiliation unknown1
Eva FitriyanaAffiliation unknown1
Abdi Negara GuciAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">GENERALIZED CONFIRMATORY FACTOR ANALYSIS FOR KNOWING IMPACT OF KNOWLEDGE, ATTITUDES, AND BEHAVIORAL FACTORS HIV/AIDS IN INDONESIA</dc:title>
	<dc:creator>Rahmi, Nur Silviyah</dc:creator>
	<dc:creator>Astutik, Suci</dc:creator>
	<dc:creator>Astuti, Ani Budi</dc:creator>
	<dc:creator>Muhammad, Alifiandi Rafi</dc:creator>
	<dc:creator>Maisaroh, Ulfah</dc:creator>
	<dc:creator>Handayani, Sri</dc:creator>
	<dc:description xml:lang="en-US">The cumulative number of detected HIV/AIDS cases in the January – March 2021 period is 9,327, consisting of 7,650 HIV and 1,677 AIDS reported by 498 districts and cities from 514 districts and cities in Indonesia. Human Immunodeficiency Virus (HIV) is the virus that causes Acquired Immunodeficiency Syndrome (AIDS). Several factors that influence the spread of HIV/AIDS include knowledge, attitudes and behavior about HIV/AIDS. Someone who gains knowledge about HIV/AIDS will have high self-confidence and a positive outlook on life and be more optimistic in taking HIV/AIDS prevention actions. The main objective of this study is to determine the influence of external factors which include demographic, social and economic aspects, as well as internal factors which include knowledge, attitudes and behavior to the level of transmission of HIV/AIDS. By using the CFA approach, it can be seen which indicators have the greatest influence on the latent variables of knowledge, attitudes, and behavior or called loading factors. The data used is secondary data from a 5-year survey from the Central Statistics Agency, namely the 2017 Indonesian Demographic and Health Survey (IDHS) published at the end of 2018. The CFA results show that the P11 variable (about known infections) has the largest loading factor value, which is 0.613 in the variable. . hidden. knowledge. In the latent variable of attitude, the S1 variable (about identifying how the respondent knows someone is infected with HIV-AIDS) has the largest loading factor value of 0.514. While the behavioral latent variable, the variable R8 (whether men have been infected with sexually transmitted diseases (STI) with symptoms) has the largest loading factor value, which is 0.954.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-06-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7612</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss2pp0695-0706</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0695-0706</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss2year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7612/5931</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Nur Silviyah Rahmi, Suci Astutik, Ani Budi Astuti, Alifiandi Rafi Muhammad, Ulfah Maisaroh, Sri Handayani</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>