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Record W2995800086 · doi:10.33658/jl.v15i2.148

CAPAIAN PROGRAM PENGEMBANGAN SAPI POTONG DI KABUPATEN WONOGIRI DAN KABUPATEN PATI

2019· article· en· W2995800086 on OpenAlexaff
Lilyk Eka Suranny, Arieyanti Dwi Astuti, Herna Octivia Damayanti

Bibliographic record

VenueJurnal Litbang Media Informasi Penelitian Pengembangan dan IPTEK · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Farming and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAgricultural scienceAgricultureAnimal husbandryBusinessGovernment (linguistics)Operations managementGeographyEngineeringBiology

Abstract

fetched live from OpenAlex

ENGLISHCattle becomes the greatest meat producer among ruminants. Both Wonogiri Regency and Pati Regency are the centers of cattle farming in Central Java. This study aims to (1) investigate the development of cattle farming, (2) analyze the performance of the local government in developing cattle farming, (3) describe the differences between Wonogiri Regency and Pati Regency in managing the cattle farming business. This research uses a descriptive method. This research is located in Wonogiri Regency and Pati regency. The data used are secondary data obtained from Statistics Bereau (BPS) of Central Java Province, Wonogiri and Pati regencies, Agriculture Agency of Pati Regency, Fisheries, Marine and Livestockagency of Wonogiri regency. Data are analysed through a descriptive analysis. The results of the study are (1) Cattle farming in Wonogiri Regency and Pati Regency is still traditionally and simply by utilizing agricultural waste as feed, (2) there are 4 animal husbandry carried out by the government of Wonogiri Regency and Pati Regency, in general the performance of each program is achieved even though there is a small portion of indicators that have not yet been achieved, (3) Wonogiri Regency starts to apply communal management, while in Pati Regency, cattle farming is still managed individually. INDONESIAKabupaten Wonogiri dan Pati adalah sentra penghasil ternak sapi potong sebagai salah satu kontributor terbesar penghasil daging. Tujuan penelitian: (1) mengetahui kondisi pengembangan usaha budi daya sapi potong, (2) menganalisis kinerja program pemerintah daerah di bidang peternakan untuk pengembangan sapi potong, (3) menggambarkan perbedaan pengelolaan usaha beternak sapi potong. Penelitian menggunakan metode deskriptif. Lokasi penelitian di Kabupaten Wonogiri dan Kabupaten Pati. Data sekunder diperoleh dari BPS Provinsi Jawa Tengah, BPS Kabupaten Wonogiri dan Kabupaten Pati, Dinas Pertanian Kabupaten Pati, Dinas Perikanan dan Kelautan dan Peternakan Kabupaten Wonogiri. Analisis data menggunakan analisis deskriptif. Hasil penelitian yaitu (1) budi daya sapi potong oleh peternak di Kabupaten Wonogiri dan Kabupaten Pati masih dilakukan secara tradisional dan sederhana dengan memanfaatkan limbah pertanian sebagai pakan ternak sapi potong; (2) terdapat 4 program kerja di bidang peternakan yang dilakukan pemerintah Kabupaten Wonogiri dan Kabupaten Pati, secara umum kinerja setiap program tercapai walaupun ada beberapa indikator yang belum tercapai; (3) terdapat perbedaan pola budi daya sapi potong di Kabupaten Wonogiri dan Kabupaten Pati, yaitu Kabupaten Wonogiri mulai menerapkan pengelololaan secara komunal, sedangkan di Kabupaten Pati pengelolaan masih bersifat individual.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.017
GPT teacher head0.219
Teacher spread0.202 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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