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Record W4381621720 · doi:10.31315/psb.v4i1.8885

Teknik Reklamasi Area Bekas Tambang Tanah Urug Sebagai Pertanian Lahan Kering di Dusun Kaligondang, Kalurahan Temon Wetan, Kapanewon Temon, Kabupaten Kulon Progo, DIY

2023· article· id· W4381621720 on OpenAlexaff
Satya Purbiantoro, Wisnu Aji Dwi Kristanto, Herwin Lukito

Bibliographic record

VenueProsiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryHorticultureGeographyBiology

Abstract

fetched live from OpenAlex

Kegiatan penambangan di Dusun Kaligondang, Kalurahan Temon Wetan sudah berlangsung sejak tahun 2017lalu, hingga saat ini berhenti beroperasi dengan tanpa adanya upaya reklamasi yang dilakukan. Akibat darikegiatan penambangan tersebut terjadi perubahan bentuk lahan dan mengakibatkan lahan tersebut menjadi tidakproduktif. Adapun penelitian ini bertujuan untuk mengevaluasi lahan area bekas tambang sebagai pertanianlahan kering dan menentukan arahan teknis reklamasi. Metode yang diterapkan dalam penelitian adalahkuantitatif deskriptif yang meliputi observasi dan pemetaan lapangan, analisis laboratorium, dan evaluasi denganmetode pencocokan (matching). Analisis laboratorium yang dilakukan berupa uji kimia tanah. Hasil evaluasilahan didapatkan bahwa area bekas tambang dapat ditanami tanaman pertanian lahan kering yaitu ubi kayu, ubijalar, dan kacang tanah. Upaya pengelolaan lahan dilakukan dengan pembuatan jenjang dengan tinggi 6 meterdan kemiringan 45° dengan backslope 2° dan pembuatan saluran drainase pada tiap jenjang.Kata Kunci: Evaluasi Lahan; Penambangan; Pertanian Lahan Kering; Reklamasi

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0030.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.003

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 head0.237
Teacher spread0.215 · 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 designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueProsiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMISame topicCoastal Management and DevelopmentFrench-language works237,207