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Jurnal

PERANAN MUSIM TERHADAP KESESUAIAN PERAIRAN PESISIR GUGUS PULAU KALEDUPA UNTUK USAHA BUDIDAYA RUMPUT LAUT

Jurnal Bisnis Perikanan (Journal of Fishery Business) · Vol. 4 No. 2 (2019) · pp. 109–122

ISSN
2355-6617
Published
2019-08-27
Publisher
Program Studi Agrobisnis Perikanan, Fakultas Perikanan dan Ilmu Kelautan, UHO
Language
eng

Abstract

This research aims to determine Daily Growth Rate (LPH) of seaweed in each observation station in East, West and Transmission Season; Obtain a real distance between seaweed LPH in each station in the season average and in each season in the station average; and Obtain the area of each phycoculture area that is classified based on the interaction between daily growth rate, season and station. The method of analysis of seaweed LPH was introduced into a randomized block design and continued with the Duncan multiple distance test used to achieve the first and second goals. Furthermore, a geographic information system analysis method is applied to achieve the third goal. As a result, there is a real distance between LPH seaweed between stations 2 and 11 in one season average. Likewise between the two with several other stations. While between stations 3, 1, 10, 6, 7 and 9 there is no real difference distance. Same with stations 13, 8, 4 and 5, but this group of stations is different from other groups of stations. On the other hand, there is a real distance between LPH in East, Transition and Western Season in station average. LPH is best found in East Season, followed by Transmission, following the West. Based on the interaction between LPH, seasons and stations there is a classification of coastal waters for a well-stable phycoculture (KSB) business of around 2557 ha and a good dominant (KDB) of around 180 ha in a cycle of seasonal changes. The rest, there are around 3209 ha as an area of cultivation that is not yet stable (KSBB).

Collaboration network of the authors

40 authors · 112 co-authorship links · 1 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.

  • Universitas Halu Oleo
  • Institut Agama Islam Negeri Kendari
  • Universitas Sulawesi Tenggara
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
La Onu La OlaAffiliation unknown7
Sarini YusufUniversitas Halu Oleo5
Nurhuda AnnaastasiaUniversitas Halu Oleo4
Seventry Meliana PatiungUniversitas Halu Oleo4
Sjamsu Alam LawelleAffiliation unknown4
Munirwan ZaniUniversitas Halu Oleo3
Farhan Ramdhani IstinandarAffiliation unknown3
Sitti Nur IsnianAffiliation unknown3
Anas NikoyanUniversitas Halu Oleo3
Hartina BatoaAffiliation unknown3
La RiandaAffiliation unknown3
- BudiyantoAffiliation unknown3
La Onu La OlaAffiliation unknown3
La AnadiAffiliation unknown2
Roslindah Daeng SiangUniversitas Halu Oleo2
Abdul RahmanInstitut Agama Islam Negeri Kendari2
Azwar SidiqUniversitas Halu Oleo2
Yusran YusranAffiliation unknown2
Ine FausayanaUniversitas Halu Oleo2
Bahari BahariUniversitas Sulawesi Tenggara2
wa Ode YusriaAffiliation unknown2
Sri Wiyati MaharaniAffiliation unknown2
Sarinah SarinahAffiliation unknown2
Usman RianseAffiliation unknown2
Yani TaufikAffiliation unknown2
Mardin MardinAffiliation unknown2
Yusna IndarsyihUniversitas Halu Oleo2
Baru SadarunAffiliation unknown2
R. RuslainiAffiliation unknown2
Irdam RianiUniversitas Halu Oleo2
B. BudiyantoAffiliation unknown2
Azhar BafadalUniversitas Halu Oleo1
Reski AmboAffiliation unknown1
Achmad FahruddinAffiliation unknown1
Izal EffendiAffiliation unknown1
Mimiatin MimiatinAffiliation unknown1
Muhammad RamliAffiliation unknown1
Riski DwiyantiAffiliation 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://ojs.uho.ac.id/index.php/bisnisperikanan/oai, first harvested 30 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">PERANAN MUSIM TERHADAP KESESUAIAN PERAIRAN PESISIR  GUGUS PULAU KALEDUPA UNTUK USAHA BUDIDAYA RUMPUT LAUT</dc:title>
	<dc:creator>Mansyur, Akhmad</dc:creator>
	<dc:creator>Rosmawaty, Rosmawaty</dc:creator>
	<dc:description xml:lang="en-US">This research aims to determine Daily Growth Rate (LPH) of seaweed in each observation station in East, West and Transmission Season; Obtain a real distance between seaweed LPH in each station in the season average and in each season in the station average; and Obtain the area of each phycoculture area that is classified based on the interaction between daily growth rate, season and station. The method of analysis of seaweed LPH was introduced into a randomized block design and continued with the Duncan multiple distance test used to achieve the first and second goals. Furthermore, a geographic information system analysis method is applied to achieve the third goal. As a result, there is a real distance between LPH seaweed between stations 2 and 11 in one season average. Likewise between the two with several other stations. While between stations 3, 1, 10, 6, 7 and 9 there is no real difference distance. Same with stations 13, 8, 4 and 5, but this group of stations is different from other groups of stations. On the other hand, there is a real distance between LPH in East, Transition and Western Season in station average. LPH is best found in East Season, followed by Transmission, following the West. Based on the interaction between LPH, seasons and stations there is a classification of coastal waters for a well-stable phycoculture (KSB) business of around 2557 ha and a good dominant (KDB) of around 180 ha in a cycle of seasonal changes. The rest, there are around 3209 ha as an area of cultivation that is not yet stable (KSBB).</dc:description>
	<dc:publisher xml:lang="en-US">Program Studi Agrobisnis Perikanan, Fakultas Perikanan dan Ilmu Kelautan, UHO</dc:publisher>
	<dc:contributor xml:lang="en-US">Universitas Halu Oleo</dc:contributor>
	<dc:date>2019-08-27</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/bisnisperikanan/article/view/8574</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Bisnis Perikanan (Journal of Fishery Business); Vol 4, No 2: OKTOBER 2017 : JURNAL BISNIS PERIKANAN; 109-122</dc:source>
	<dc:source>2355-6617</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/bisnisperikanan/article/view/8574/6268</dc:relation>
	<dc:relation>https://ojs.uho.ac.id/index.php/bisnisperikanan/article/downloadSuppFile/8574/625</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Akhmad Mansyur, Rosmawaty Rosmawaty</dc:rights>
</oai_dc:dc>