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Pengaruh Rob Terhadap Perubahan Pendapatan Petani Tambak di Kecamatan Tirto Kabupaten Pekalongan

Geo-Image Journal · Vol. 8 No. 1 (2019) · hlm. 15–21

DOI
10.15294/geoimage.v8i1.29661
ISSN
2549-0362, 2252-6285
Terbit
2019-04-04
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study aims: To find out the tidal flood conditions by using a Geographic Information System. (2) Knowing the effect of tidal floods on population income. (3) Knowing adaptation strategies for rob floods. This study uses descriptive quantitative research methods with simple linear regression statistical analysis techniques. The results showed that the results showed that all villages in the northern part of the Tirto sub-district were affected by the tidal floods. The results of linear regression analysis between tidal flood heights and farmer farmer income showed a correlation value (R) of 0.32 and a coefficient of determination (R2) of 0.10 which means that both variables have a low relationship and influence. The adaptation strategy of the farmer to the tidal flood is that the community makes improvements to the pond land by means of waring, making retaining embankments and planting mangroves. The suggestion from this research is that the parameters used to determine the tidal flood area should be more complete. In addition, the development of similar studies to determine the effect of tidal flood heights with farmer farmer income must consider the ownership factors, the location of the ponds of each farmer and the productivity of the farm.

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  • State University of Semarang
  • Universitas Gadjah Mada
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Rekan penulisOrganisasiArtikel bersama
Erni SuhariniAfiliasi tidak diketahui7
Eva BanowatiAfiliasi tidak diketahui5
Saptono PutroAfiliasi tidak diketahui5
Dewi Liesnoor SetyowatiState University of Semarang4
Sriyono SriyonoAfiliasi tidak diketahui4
Puji HardatiAfiliasi tidak diketahui3
Ananto AjiAfiliasi tidak diketahui2
Suroso SurosoAfiliasi tidak diketahui2
Andi Irwan BenardiAfiliasi tidak diketahui2
Salahuddin SalahuddinUniversitas Gadjah Mada1
Nurhayu MalikAfiliasi tidak diketahui1
Supriyadi SupriyadiAfiliasi tidak diketahui1
Ervando Tommy Al-hanifAfiliasi tidak diketahui1
Mohammad SyifauddinAfiliasi tidak diketahui1
Herlambang Fadlan SejatiAfiliasi tidak diketahui1
Puneet IyerAfiliasi tidak diketahui1
Juhadi JuhadiAfiliasi tidak diketahui1
Afkar Jihad Al-afghani AfkarAfiliasi tidak diketahui1
Muh. SholehAfiliasi tidak diketahui1
Bella Zulfia Aisyatul WahidahAfiliasi tidak diketahui1
R SugiyantoAfiliasi tidak diketahui1
tahmid fitriantoAfiliasi tidak diketahui1
Agus ArifinAfiliasi tidak diketahui1
Tukidi TukidiAfiliasi tidak diketahui1
Moch. ArifienAfiliasi tidak diketahui1
Fajar RianawatiAfiliasi tidak diketahui1
Nurdianto NurdiantoAfiliasi tidak diketahui1
Dewi Liesnoor SetyawatiAfiliasi tidak diketahui1
Sudharmono SudharmonoAfiliasi tidak diketahui1
Dedy Hendra PrastiaAfiliasi tidak diketahui1
Mas Aditia NugrohoAfiliasi tidak diketahui1
Ganes NalisaAfiliasi tidak diketahui1
Eldo Rado SilabanAfiliasi tidak diketahui1
Inka Wahyu SafitriAfiliasi tidak diketahui1
Irna Nur Fita SariAfiliasi tidak diketahui1
Arinta Yuni AstantiAfiliasi tidak diketahui1
Mila WardaniAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Pengaruh Rob Terhadap Perubahan Pendapatan Petani Tambak di Kecamatan Tirto Kabupaten Pekalongan</dc:title>
	<dc:creator>Febrian, Ramadhan</dc:creator>
	<dc:creator>Eva, Banowati</dc:creator>
	<dc:creator>Hariyanto, Hariyanto</dc:creator>
	<dc:description xml:lang="en-US">This study aims: To find out the tidal flood conditions by using a Geographic Information System. (2) Knowing the effect of tidal floods on population income. (3) Knowing adaptation strategies for rob floods. This study uses descriptive quantitative research methods with simple linear regression statistical analysis techniques. The results showed that the results showed that all villages in the northern part of the Tirto sub-district were affected by the tidal floods. The results of linear regression analysis between tidal flood heights and farmer farmer income showed a correlation value (R) of 0.32 and a coefficient of determination (R2) of 0.10 which means that both variables have a low relationship and influence. The adaptation strategy of the farmer to the tidal flood is that the community makes improvements to the pond land by means of waring, making retaining embankments and planting mangroves. The suggestion from this research is that the parameters used to determine the tidal flood area should be more complete. In addition, the development of similar studies to determine the effect of tidal flood heights with farmer farmer income must consider the ownership factors, the location of the ponds of each farmer and the productivity of the farm.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2019-04-04</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://journal.unnes.ac.id/sju/geoimage/article/view/29661</dc:identifier>
	<dc:identifier>10.15294/geoimage.v8i1.29661</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 8 No 1 (2019): Geo-Image; 15 - 21</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v8i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/29661/13053</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Geo-Image</dc:rights>
	<dc:rights xml:lang="en-US">https://journal.unnes.ac.id/sju/index.php/geoimage</dc:rights>
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