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STRATEGY FOR ELIMINATING NEGLECTED TROPICAL DISEASES THROUGH INDIVIDUAL AND AREA ASPECTS USING THE HIERARCHICAL LOGISTIC REGRESSION METHOD

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 4 (2025) · pp. 2495–2506

DOI
10.30598/barekengvol19iss4pp2495-2506
ISSN
2615-3017, 1978-7227
Published
2025-09-01
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Filariasis is one of the Neglected Tropical Diseases (NTDs) that is often associated with poverty and marginalized community groups. Papua is the province with the highest number of chronic filariasis cases and has the largest number of endemic districts/municipalities compared to other provinces in Indonesia. Papua is also the province with the highest poverty rate in Indonesia. To support the government's filariasis elimination program, this study aims to determine variables that influence the incidence of filariasis in Papua at the individual and area levels. This study uses 2018 Indonesia Basic Health Research data from the Ministry of Health and regional data from BPS-Statistics Indonesia. The results using Hierarchical Binary Logistic Regression concluded that defecation behavior in latrines, prevention behavior against mosquito bites, participation in mass preventive drug administration, number of poor people, and number of health workers have a significant effect on the incidence of filariasis. In contrast, the variables age, gender, type of work, and level of education do not have a significant effect.

Collaboration network of the authors

40 authors · 120 co-authorship links · 46 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • IPB University
  • Politeknik Statistika STIS
  • Universitas Prasetiya Mulya
  • Binus University
  • Institut Teknologi Telkom Purwokerto
  • Universitas Suryakancana
  • National Research and Innovation Agency
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Khairil Anwar NotodiputroIPB University4
Bagus SartonoIPB University3
Aminatus Sa’adahInstitut Teknologi Telkom Purwokerto2
INDAHWATI INDAHWATIIPB University2
Erwan SetiawanUniversitas Suryakancana2
Ayomi SasmitoUniversitas Prasetiya Mulya1
Zein Rizky SantosoAffiliation unknown1
Aji Hamim WigenaIPB University1
Agus Mohamad SolehIPB University1
Maulida Fajrining TyasIPB University1
Christiana Anggraeni PutriPoliteknik Statistika STIS1
Anwar FitriantoIPB University1
Husnun NashirIPB University1
Muhammad Nur AidiIPB University1
Irvanal HaqIPB University1
Efriwati EfriwatiNational Research and Innovation Agency1
Fadhila Annisa MaksumPoliteknik Statistika STIS1
Dwi Agustin Nuriani SirodjBandung Islamic University1
Kusman SadikIPB University1
Yudi Fathul AminIPB University1
Gusti Arviana RahmanUniversitas Halu Oleo1
Muhammad Aziz SuprayogiAffiliation unknown1
Arie PurwantoUniversitas Mercu Buana Yogyakarta1
Joao Ferreira Rendes Bean LolyNational University of East Timor1
Muhammad Azis SuprayogiIPB University1
I Made SumertajayaIPB University1
Agus Sofian Eka HidayatPresident University1
Dian KusumaningrumUniversitas Prasetiya Mulya1
Dewi Novita SariPoliteknik Statistika STIS1
Pardomuan Robinson SihombingBadan Pusat Statistik1
ERFIANI ERFIANIIPB University1
Kristuisno Martsuyanto KapilukaIPB University1
Dhea DewantiIPB University1
Febryna SembiringIPB University1
Ajeng Bita AlfiraIPB University1

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 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">STRATEGY FOR ELIMINATING NEGLECTED TROPICAL DISEASES THROUGH INDIVIDUAL AND AREA ASPECTS USING THE HIERARCHICAL LOGISTIC REGRESSION METHOD</dc:title>
	<dc:creator>Oktora, Siskarossa Ika</dc:creator>
	<dc:creator>Matualage, Dariani</dc:creator>
	<dc:creator>Amalia Pasaribu, Asysta</dc:creator>
	<dc:creator>Fitriyani Sahamony, Nur</dc:creator>
	<dc:creator>Kurnia, Anang</dc:creator>
	<dc:description xml:lang="en-US">Filariasis is one of the Neglected Tropical Diseases (NTDs) that is often associated with poverty and marginalized community groups. Papua is the province with the highest number of chronic filariasis cases and has the largest number of endemic districts/municipalities compared to other provinces in Indonesia. Papua is also the province with the highest poverty rate in Indonesia. To support the government's filariasis elimination program, this study aims to determine variables that influence the incidence of filariasis in Papua at the individual and area levels. This study uses 2018 Indonesia Basic Health Research data from the Ministry of Health and regional data from BPS-Statistics Indonesia. The results using Hierarchical Binary Logistic Regression concluded that defecation behavior in latrines, prevention behavior against mosquito bites, participation in mass preventive drug administration, number of poor people, and number of health workers have a significant effect on the incidence of filariasis. In contrast, the variables age, gender, type of work, and level of education do not have a significant effect.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2025-09-01</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/17207</dc:identifier>
	<dc:identifier>10.30598/barekengvol19iss4pp2495-2506</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application; 2495-2506</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol19iss4year2025</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17207/11055</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Siskarossa Ika Oktora, Dariani Matualage, Asysta Amalia Pasaribu, Nur Fitriyani Sahamony, Anang Kurnia</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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