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MANAJEMEN STRATEGI PROGRAM SEKOLAH LAPANG PERTANIAN di DINAS PERTANIAN KABUPATEN BOJONEGORO

2021· article· id· W3182223012 on OpenAlexaff
Redika Widya Prabaningrum, Trenda Aktiva Oktariyanda

Bibliographic record

VenuePublika · 2021
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryAgricultural scienceBusinessGeographyEnvironmental science

Abstract

fetched live from OpenAlex

Kabupaten Bojonegoro adalah salah satu kabupaten yang menjadi penghasil padi di Jawa Timur. Bahkan Kabupaten Bojonegoro menjadi salah satu daerah lumbung pangan andalan di Jawa Timur (bojonegorokab.go.id). Sektor pertanian di Kabupaten Bojonegoro menjadi salah satu sektor yang dominan dalam pembentukan Produk Domestik Regional Bruto (PDRB) dalam kurun waktu 5 tahun terakhir (2015-2019). Namun, sektor pertanian di Bojonegoro mengalami permasalahan diberbagai faktor. Salah satunya melemahnya sektor pertanian terjadi karena bibit tanam pola tanam yang belum berhasil. Diketahui bahwa produksi padi di Kabupaten Bojonegoro pada tahun 2016 mencapai 1 juta ton dan pada tahun 2017 mengalami penurunan produksi menjadi 880.000 ton. Dalam mengatasi permasalahan tersebut, Dinas Pertanian Kabupaten Bojonegoro melaksanakan sebuah program yang bernama Sekolah Lapang Pertanian. Sekolah Lapang Pertanian adalah serangkaian kegiatan perencanaan mengenai pertanian yang nantinya menghasilkan sumber daya manusia khusunya petani yang berkualitas. Tujuan dari Penelitian ini adalah untuk mendeskripsikan atau menganalisis manajemen strategi Program Sekolah Lapang Pertanian di Dinas Pertanian Kabupaten Bojonegoro. Jenis penelitian yang digunakan peneliti adalah deskriptif dengan menggunakan pendekatan secara kualitatif. Penelitian ini menggunakan teori manajemen strategi yang dikemukakan oleh Corwn Dirgantoro (2001) yang meliputi Formulasi Strategi, Implementasi Strategi, dan Pengendalian Strategi. Teknik pengumpulan data melalui wawancara dengan pihak Dinas Pertanian Kabupaten Bojonegoro disertai dengan dokumentasi sebagai bukti serta melalui studi literatur mengenai Sekolah Lapang Pertanian. Kata Kunci : Manajemen Strategi, Strategi Pertanian, Program Sekolah Lapang Pertanian Bojonegoro Regency is one of the rice producers in East Java. Even Bojonegoro Regency is one of the mainstay food storage areas in East Java (bojonegorokab.go.id). The agricultural sector in Bojonegoro Regency has become one of the dominant sectors in the formation of Gross Regional Domestic Product (PDRB) in the last 5 years (2015-2019). However, the agricultural sector in Bojonegoro is experiencing problems in various factors. One of the reasons is the weakening of the agricultural sector due to unsuccessful planting patterns of seedlings. It is known that rice production in Bojonegoro Regency in 2016 reached 1 million tons and in 2017 the production decreased to 880,000 tons. In overcoming this problem, Agricultural Department of Bojonegoro Regency implemented a program called the Agricultural Field School. Agricultural Field School is a series of planning activities regarding agriculture that will later produce quality human resources, especially farmers. The purpose of this study was to describe or analyze the strategic management of the Agricultural Field School Program at the Agricultural Department of Bojonegoro Regency. This type of research used by researchers is descriptive using a qualitative approach. This study uses strategic management theory according to Corwn Dirgantoro (2001) which includes Strategy Formulation, Strategy Implementation, and Strategy Control. The technique of collecting data through interviews with the Agricultural Department of Bojonegoro Regency accompanied by documentation as evidence and through literature studies on Agricultural Field Schools. Keywords : Strategic Management, Agricultural Strategy, Agricultural Field School Program

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0570.014

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 head0.022
GPT teacher head0.226
Teacher spread0.203 · 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 designNot applicable
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
Published2021
Admission routes1
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