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Record W3045075536 · doi:10.19184/bip.v2i4.16317

ESTIMASI TOTAL AIR TERSEDIA BAGI TANAMAN PADA BERBAGAI TEKSTUR TANAH MENGGUNAKAN METODE PENGUKURAN KANDUNGAN AIR JENUH

2019· article· en· W3045075536 on OpenAlexaboutno aff
Fitria Dwi Darmayati, Tarsicius Sutikto

Bibliographic record

VenueBerkala Ilmiah Pertanian · 2019
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsnot available
Fundersnot available
KeywordsWater contentSoil textureContent (measure theory)Environmental scienceMathematicsRegression analysisSoil scienceSoil waterGeologyGeotechnical engineeringStatisticsMathematical analysis

Abstract

fetched live from OpenAlex

ABSTRACT This research was about determine the water content using the method of saturated water content that has been carried out and were suitable in Canada, However, this method needs to be tested for tropical regions such as in Jember. This present study aimed to determine the accuracy and characteristics of the empirical equations that used in determine the water content using the method of saturated water content in several classes of soil texture. Soil samples consist of the Raung Mountains, Argopuro Mountains, and Southern Mountains zones which are expected to represent several texture classes. The empirical equation is Yfc = a + b (xfc), to determine the water content in the field capacity condition, Yw = a + b (xw), to determine the water content in a permanent wilt point condition. The empirical equation for total available water is AT = Yfc - Yw. Based on the results of the study obtained a new equation from the results regression analysis of the saturated water content value with the measurements of Pressure Plate Apparatuse results, named Yfc = -2.4742 + 0.6551 (x) and Yw = -16.949 + 0.557 (x). From the equation, then determined total available water based on the Karkanis Equation and the New Equation. The appropriateness test of the method of saturated water content using Graph 1: 1 was carried out on each total available water data (Karkanis equation and new equation) which results showed that the method was invalid to be applied to the study location (R2 = 0.0239). Key words: Total Available Water, Soil Texture, Pressure Plate Apparatus, Saturated Water Content ABSTRAK Penelitian mengenai penetapan kandungan air menggunakan metode pengukuran kandungan air jenuh telah dilakukan di Canada hasilnya sesuai untuk daerah tersebut. Namun metode tersebut perlu diuji untuk daerah tropika seperti di Jember. Penelitian ini dilakukan untuk mengetahui akurasi dan karakteristik persamaan empiris yang digunakan dalam penetapan total air tersedia dengan metode kandungan air jenuh pada beberapa kelas tekstur tanah. Contoh tanah terdiri atas zona Pegunungan Raung, Pegunungan Argopuro, dan Pegunungan Selatan yang diharapkan mewakili beberapa kelas tekstur. Persamaan empiris yang digunakan adalah Yfc = a + b(xfc), untuk kandungan air kapasitas lapang, Yw = a +b(xw), untuk kandungan air titik layu permanen. Persamaan empiris untuk total air teredia yaitu AT = Yfc - Yw. Hasil dari penelitian diperoleh Persamaan Baru dari hasil analisis regresi nilai kandungan air jenuh dengan hasil pengukuran Pressure Plate Apparatuse yaitu Yfc = -2,4742 + 0,6551 (x) dan Yw = -16,949 + 0,557 (x). Dari persamaan tersebut kemudian ditentukan total air tersedia berdasarkan Persamaan Karkanis dan Persamaan Baru. Uji kelayakan metode pengukuran kandungan air jenuh dengan menggunakan Grafik 1:1 dilakukan pada masing-masing data total air tersedia (Persamaan Karkanis dan Persamaan baru) yang hasilnya menunjukkan bahwa metode tersebut tidak valid/sahih untuk diterapkan pada lokasi penelitian (R2 = 0,0239). Kata Kunci : Total Air Tersedia, Tekstur tanah, Pressure Plate Apparatus, Kandungan Air Jenuh.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.172
Teacher spread0.169 · 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 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

Citations6
Published2019
Admission routes1
Has abstractyes

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