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ANALISIS TINGKAT PENDAPATAN MASYARAKAT NELAYAN SOMA PAJEKO DI KECAMATAN SALIBABU KABUPATEN KEPULAUAN TALAUD SULAWESI UTARA

2018· article· en· W2912387854 on OpenAlexaff
Siska Salatan, Victoria E.N. Manoppo, Suria Darwisito

Bibliographic record

VenueAKULTURASI (Jurnal Ilmiah Agrobisnis Perikanan) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFishingGeographyLivelihoodFisheryLaggingArtisanal fishingPovertyMarine protected areaSocioeconomicsEconomic growthHabitatEcologyEconomicsAgriculture

Abstract

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AbstractTalaud Islands Regency includes maritime territory, 94.6% of which is waters directly adjacent to the Philippines and holds a variety of high economic living resources. In North Sulawesi Provincial Regulation Numbered 1/2017, article 12 concerning Zoning Plan of Coastal Zone and Small Islands of North Sulawesi Province 2017-2037, Talaud Islands Regency is designated as Integrated Marine and Fisheries Center Location of Talaud. It is located in Salibabu district, where Regional Regulation of Spatial Plan Numbered 1/2014 concerning Spatial Plan of Talaud Islands Regency for 2014-2034, Salibabu District is prioritized for Fishing Fisheries Regional Development and Management since its unutilized fisheries potential is still about 23,104 tons/year. In 2017, Salibabu district occupies the highest order for total fisheries production in Talaud Islands District. It was 702.3 tons or 11.79% of that in Talaud Islands Regency, 46.23% of which were gained from purse seines. Majority of the purse seine fishermen are those whose main livelihoods are fishermen and do not have other jobs. Fishing community is, in general, a relatively lagging community group socially, economically and culturally when compared with other community groups. The purse seine fishermen community in Salibabu district, in fact, still has mean income far below the minimum wage of Kabupaten Talaud, IDR. 1,500,000, -. The purse seine fisherman community in Salibabu district is still chained with poverty and backwardness. Therefore, there are needs for external intervention as an incentive to empower them in order to get out of the situation. This study used descriptive method, a method of studying the recent status of human groups, an object, a set of condition, a system of thinking or a class of events. Data collection consisted of primary and secondary data. It was done through in-depth interviews, filling questionnaires and literature studies. Respondents were purse seine fishermen communities in Salibabu district. Data analysis used descriptive method to know the socio-economic life of the communities and income formula to analyze the income level of fishermen purse seine. Results showed that mean net income in Salibabu district was approximately IDR 86,784,000/year for the purse seine owner and IDR.10,608,840/year for fishing crews, respectively, with main catches of skipjack tuna, mackerels, and scads. Keywords: Purse seine fisherman, Salibabu District and Income level of Fisherman AbstrakKabupaten Kepulauan Talaud termasuk wilayah bahari dimana 94,6% wilayahnya adalah perairan yang berbatasan langsung dengan negara Philipina dan memiliki sumberdaya hayati yang bernilai ekonomis tinggi. Dalam Peraturan Daerah Provinsi Sulawesi Utara No. 1 tahun 2017 pasal 12 tentang Rencana Zonasi Wilayah Pesisir dan Pulau-Pulau Kecil Provinsi Sulawesi Utara tahun 2017-2037, Kabupaten Kepulauan Talaud ditetapkan sebagai lokasi Sentra Kelautan dan Perikanan Terpadu. Lokasi tersebut terletak di Kecamatan Salibabu, dimana pada Perda RTRW (Rencana Tata Ruang Wilayah) No. 1 Tahun 2014 tentang Rencana Tata Ruang Wilayah Kab. Kepulauan Talaud Tahun 2014-2034, Kecamatan Salibabu diprioritaskan untuk Pengembangan dan Pengelolaan Kawasan Perikanan Tangkap karena potensi perikanan yang belum termanfaatkan ± 23.104 Ton/Tahun. Tahun 2017, Kecamatan Salibabu menempati urutan tertinggi untuk total produksi perikanan di Kabupaten Kepulauan Talaud. Total produksi perikanan Kecamatan Salibabu sebesar 702,3 ton atau 11,79 % dari keseluruhan produksi perikanan di Kabupaten Talaud. Dari total produksi tesebut 46,23 merupakan hasil produksi usaha soma pajeko. Mayoritas nelayan soma pajeko merupakan nelayan penuh yang mata pencaharian utamanya sebagai nelayan dan tidak memiliki pekerjaan lain. Masyarakat nelayan pada umumnya merupakan kelompok masyarakat yang relatif tertinggal secara sosial, ekonomi dan budaya bila dibandingkan dengan kelompok masyarakat lainnya. Demikian juga berlaku untuk masyarakat nelayan soma pajeko di Kecamatan Salibabu dimana penghasilan nelayan dibawah upah minimum Kabupaten kepulauan Talaud sebesar Rp. 1.500.000,-. Masyarkat nelayan soma pajeko di Kecamatan Salibabu masih terbelenggu oleh kemiskinan. Oleh karena itu dengan maksud bisa keluar dari kondisi tersebut perlu ada intervensi ekternal sebagai suatu dorongan untuk memberdayakan mereka.Penelitian ini menggunakan metode deskriptif, yaitu suatu metode dalam meneliti sekelompok manusia, suatu objek, suatu set kondisi, suatu system pemikiran ataupun suatu kelas peristiwa pada masa sekarang. Jenis data yang dikumpulkan terdiri dari data primer dan data sekunder. Pengumpulan data dilakukan melalui wawancara secara mendalam terhadap responden, pengisian kuesioner dan studi kepustakaan. Responden terdiri dari masyarakat nelayan soma pajeko di Kecamatan Salibabu. Analisis data menggunakan metode deskriptif untuk mengetahui kehidupan sosial ekonomi masyarakat dan analisis mengunakan rumus pendapatan digunakan untuk menganalisis tingkat pendapatan masyarakat nelayan soma pajeko.Hasil penelitian menunjukkan bahwa pendapatan bersih juragan soma pajeko di Kecamatan Salibabu rata- rata berkisar Rp86.784.000,-/tahun dan Rp. 10.608.840,-/tahun untuk pendapatan bersih masanae dengan hasil tangkapan utama berupa ikan Cakalang, Ikan Layang dan Ikan Tongkol.Kata kunci: Nelayan Soma Pajeko , Kecamatan Salibabu dan Tingkat Pendapatan

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.216
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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