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Record W2948062456 · doi:10.36456/waktu.v13i2.61

ARANG AKTIF AMPAS TEBU SEBAGAI MEDIA ADSORPSI UNTUK MENINGKATKAN KUALITAS AIR SUMUR GALI

2016· article· id· W2948062456 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWaktu · 2016
Typearticle
Languageid
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsChemistry

Abstract

fetched live from OpenAlex

Penelitian ini tentang pemanfaatan karbon aktif ampas tebu sebagai media adsorpsi untuk menurunkan kandungan zat besi dan kesadahan pada air sumur gali. Tujuan penelitian untuk menentukan suhu karbonasi dan konsentrasi CaCO yang paling optimum untuk pembuatan karbon aktif serta mengkaji efektifitasnya dalam menurunkan kadar logam Fe dan kesadahan.
 Penelitian ini terdiri atas dua tahap, tahap pertama menentukan kondisi optimum karbon aktif berdasarkan SNI 06-3730-1995 yang didasarkan pada suhu karbonasi dan konsentrasi CaCO3 
 tahap kedua penggunaan karbon aktif dalam penyerapan logam Fe dan kesadahan berdasarkan ketinggian media. Pengukuran kadar Fe3+ menggunakan spektrofotometer, sedangkan pengukuran
 kesadahan dengan menggunakan titrimeteri EDTA. Hasil penelitian menunjukkan konsentrasi CaCO3 5,5.10-5 M dan suhu karbonasi 3500C paling optimum untuk menghasilkan karbon aktif paling sesusai SNI 06-3730-1995. Serapan optimum pada waktu operasi 2 jam pada media karbonaktif ampas tebu dengan tinggi 60 cm dapat menurunkan Fe sebesar 88% dan kesadahan 60%.
 
 Kata Kunci : Adsorpsi, Ampas Tebu, Besi, Karbon Aktif, Kesadahan.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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