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Record W2914874800 · doi:10.22500/sodality.v6i2.23234

Factors Affecting the Converstion of Agricultural Land in Pandeglang Regency

2018· article· en· W2914874800 on OpenAlexaff
Ayu Kusumastuti, Lala M. Kolopaking, Baba Barus

Bibliographic record

VenueSodality Jurnal Sosiologi Pedesaan · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAgricultureAgricultural landGovernment (linguistics)Agricultural scienceBusinessGeographyAgricultural economicsEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

ABSTRACT Increasing the number of people in Java affected the increasing demand for land for community activities. This became one of the drivers of the conversion of agricultural land into non-agricultural land. On the other hand, the increasing need for food makes the government must establish a policy of protection of agricultural land so as not to be converted. Efforts to control food land conversion need to look at the factors that affect land conversion in each region. Thus, the established program is more effective because it is able to answer the problems faced by the community, especially the land owner. This study aims to identify factors affecting land conversion in Pandeglang Regency. The factors was analyzed by ordinal regression.. The results showed that factors affecting land conversion are land tenure, B/C ratio of paddy farming, and road conditions. The effort to suppress the conversion of agricultural land requires the commitment of the government and the community as policy actors. The establishment of rural area institutions based on local community business is one solution to prevent the conversion of agricultural land. Keywords: Land conversion, food-crop land protection, rice field, institution ABSTRAK Peningkatan jumlah penduduk di Pulau Jawa berpengaruh pada peningkatan kebutuhan lahan untuk aktivitas masyarakat. Hal ini menjadi salah satu pendorong terjadinya alih fungsi lahan pertanian menjadi lahan non pertanian. Di sisi lain, kebutuhan pangan yang semakin meningkat membuat pemerintah harus menetapkan kebijakan perlindungan lahan pertanian pangan agar tidak dialih fungsikan. Upaya pengendalian alih fungsi lahan pangan perlu melihat faktor-faktor yang mempengaruhi alih fungsi lahan di masing-masing wilayah. Sehingga, program yang ditetapkan lebih efektif karena mampu menjawab permasalahan yang dihadapi masyarakat khususnya pemilik lahan. Penelitian ini bertujuan untuk mengidentifikasi faktor yang mempengaruhi alih fungsi lahan di Kabupaten Pandeglang dan. Faktor-faktor yang mempengaruhi alih fungsi lahan dianalisis dengan uji regresi ordinal. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi alih fungsi lahan adalah luas penguasaan lahan, B/C rasio usaha tani padi, dan kondisi jalan. Usaha menekan konversi lahan pangan memerlukan komitmen pemerintah dan masyarakat sebagai pelaku kebijakan. Pembentukan kelembagaan kawasan perdesaan berbasis bisnis komunitas lokal menjadi salah satu solusi dalam mencegah alih fungsi lahan pertanian pangan. Kata Kunci: alih fungsi lahan, perlindungan lahan pertanian pangan, sawah, kelembagaan

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.238
Teacher spread0.198 · 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

Citations20
Published2018
Admission routes1
Has abstractyes

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