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Optimizing renewable energy potential in island areas based on analytical hierarchy process

International Journal of Advances in Applied Sciences · Vol. 14 No. 1 (2025) · pp. 218–226

DOI
10.11591/ijaas.v14.i1.pp218-226
ISSN
2722-2594, 2252-8814
Published
2025-03-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The decreasing availability of fossil fuels and their contribution to environmental degradation and emissions of harmful gases has encouraged a shift to renewable energy sources. This change aims to produce electricity without using fossil fuels. Banyak Islands, a new tourist destination in Aceh Singkil, Indonesia, is experiencing an increase in visitors, increasing electricity demand currently supplied by diesel power plants. Therefore, this research aims to examine the possibilities of wind and solar power plants and assess their energy output. The four factors used to determine the potential of renewable energy are technology, economics, environment, and social politics, with 13 sub-criteria. Analytical hierarchy process techniques prioritize potential alternative energy sources such as wind and solar power facilities. Research findings show that environmental criteria have a higher value (0.3455) than financial criteria (0.2861), next is technological criteria (0.1734), then socio-political criteria (0.1603). Based on the results of the requirements and sub-requirements, wind power generation is the most effective and efficient alternative energy used in the Banyak Islands region (0.549), followed by solar power generation (0.451). This data shows that the area is prone to medium to high wind speeds, specifically in geographic locations facing the Indian Ocean which is located offshore.

Collaboration network of the authors

40 authors · 128 co-authorship links · 14 across different organisations · showing the 40 most connected

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

  • Malikussaleh University
  • IPB University
  • University of Mataram
  • Universiti Malaysia Perlis
  • Universitas Islam Negeri Ar-Raniry
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
I Made Ari NrarthaUniversity of Mataram10
Misbahul JannahMalikussaleh University7
Muzamir IsaUniversiti Malaysia Perlis3
Zara YunizarMalikussaleh University2
Kartika KartikaMalikussaleh University2
Asran AsranMalikussaleh University2
Nura UsrinaMalikussaleh University2
Nuryawan NuryawanMalikussaleh University2
Ediwan EdiwanAffiliation unknown2
Abubakar DabetAffiliation unknown2
Fajar Syahbakti LukmanAffiliation unknown2
Gandi SupriadiAffiliation unknown2
Aditya Aziz FikhriAffiliation unknown1
Munirul UlaAffiliation unknown1
Farhan AkbarMalikussaleh University1
Selamat MelialaMalikussaleh University1
Rosdiana RosdianaMalikussaleh University1
Raihan PutriMalikussaleh University1
Muhammad Aman YamanAffiliation unknown1
Fajar GunawanAffiliation unknown1
sulha sulhaAffiliation unknown1
Aloysius A. Prima MangiriAffiliation unknown1
Wasrin SafiiIPB University1
Khaswar SyamsuIPB University1
Bayu SuratmanAffiliation unknown1
Fauzi Sahlan Rizki SinagaAffiliation unknown1
Rosdiana RosdianaAffiliation unknown1
Widdha MellyssaAffiliation unknown1
Salahuddin SalahuddinAffiliation unknown1
Abdul Rani UsmanUniversitas Islam Negeri Ar-Raniry1
Teuku ZulyadiAffiliation 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) http://ijaas.iaescore.com/index.php/IJAAS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Optimizing renewable energy potential in island areas based on analytical hierarchy process</dc:title>
	<dc:creator>Hasibuan, Arnawan</dc:creator>
	<dc:creator>Sayuti, Muhammad</dc:creator>
	<dc:creator>Siregar, Widyana Verawaty</dc:creator>
	<dc:creator>Hidayatullah, Ferdy</dc:creator>
	<dc:creator>Daud, Muhammad</dc:creator>
	<dc:creator>Azmi, Azmi</dc:creator>
	<dc:creator>Azman, Azman</dc:creator>
	<dc:creator>Almunadiansyah, Rizky</dc:creator>
	<dc:creator>Roid, Fahrian</dc:creator>
	<dc:description xml:lang="en-US">The decreasing availability of fossil fuels and their contribution to environmental degradation and emissions of harmful gases has encouraged a shift to renewable energy sources. This change aims to produce electricity without using fossil fuels. Banyak Islands, a new tourist destination in Aceh Singkil, Indonesia, is experiencing an increase in visitors, increasing electricity demand currently supplied by diesel power plants. Therefore, this research aims to examine the possibilities of wind and solar power plants and assess their energy output. The four factors used to determine the potential of renewable energy are technology, economics, environment, and social politics, with 13 sub-criteria. Analytical hierarchy process techniques prioritize potential alternative energy sources such as wind and solar power facilities. Research findings show that environmental criteria have a higher value (0.3455) than financial criteria (0.2861), next is technological criteria (0.1734), then socio-political criteria (0.1603). Based on the results of the requirements and sub-requirements, wind power generation is the most effective and efficient alternative energy used in the Banyak Islands region (0.549), followed by solar power generation (0.451). This data shows that the area is prone to medium to high wind speeds, specifically in geographic locations facing the Indian Ocean which is located offshore.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">LPPM Malikussaleh University for facilitating this research</dc:contributor>
	<dc:date>2025-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21236</dc:identifier>
	<dc:identifier>10.11591/ijaas.v14.i1.pp218-226</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 14, No 1: March 2025; 218-226</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v14.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21236/13238</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Institute of Advanced Engineering and Science (IAES)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>