Efek Lama Penyimpanan Asi Terhadap Kadar Protein dan Lemak yang Terkandung Didalam ASI
Bibliographic record
Abstract
AbstrakPenyimpanan ASI di lemari pendingin yang dilakukan oleh ibu bekerja kemungkinan bisa menyebabkan terjadinya beberapa proses biokimia seperti proteolisis dan lipolisis. Proses ini bisa menyebabkan terjadinya perubahan dari zat gizi yang terkandung didalam ASI. Tujuan penelitian ini adalah mengetahui efek lama penyimpanan ASI terhadap penurunan kadar protein dan lemak yang terkandung didalam ASI. Ini merupakan true experiment dengan pendekatan pretest-post test control group design. Pemeriksaan kadar protein dan lemak dilakukan di Laboratorium Teknologi Hasil Ternak Fakultas Peternakan Universitas Andalas padang, pada bulan November 2014 dengan total 32 sampel. Sampel dibagi menjadi 4 kelompok, dengan variasi lama penyimpanan di lemari pendingin selama 0 jam (control), 24 jam, 48 jam dan 72 jam. Setelah dilakukan penyimpanan, lalu di uji kadar protein dengan metode Kjedhal dan kadar lemak dengan metode Sochlet. Hasil penelitian didapatkan kadar protein yang disimpan selama 0 jam adalah 0,99%, 24 jam 0,86%, 48 jam 0,78%, 72 jam 0,72%. Terdapat perbedaan yang signifikan rerata kadar protein berdasarkan lama penyimpanan dengan p<0,05. Rerata untuk kadar lemak selama penyimpanan 0 jam adalah 3,4%, 24 jam 3,2%, 48 jam 3,1% dan 72 jam 3,0%. Terdapat perbedaan yang signifikan rerata kadar lemak berdasarkan lama penyimpanan dengan nilai p<0,05. Terdapat efek lama penyimpanan ASI terhadap kadar protein dan lemak yang terkandung didalam ASI.Kata kunci: kadar protein ASI, kadar lemak ASI, lama penyimpanan AbstractKeeping breast milk in cool storage is often done by working mother, may cause biochemical process such as proteolysis and lipolysis. These processes may change nutrition component in breast milk. The objective of this study was to find the effect of duration of storage on breast milk in decreasing protein and fat level contained in breast milk. This study was a true experiment with pretest and posttest control group design. Protein and fat level examined on 32 samples in laboratory of Teknologi Hasil Ternak, Animal Science Faculty of Andalas University Padang in November 2015 . Samples were divided into four groups: 0 hour (control), 24 hours, 48 hours, and 72 hours. After that, protein level was examined by using kjedhal method and fat level was examined by using sochlet method. The result got level of protein in 0 hour storage was 0.99%, 24 hours 0.86%, 48 hours 0.78%, and 72 hours 0.72%. There was significant difference of protein mean level based on storage time, with p< 0.05. The mean level of fat in 0 hour storage was 3.4%, 24 hours 3.2%, 48 hours 3.1%, and 72 hours 3.0%. There was significant difference of fat mean level on duration of storage (p< 0.05). There is effect of time storage to protein and fat level in breast milk. Keywords: protein breast milk level, fat breast milk level, duration of storage
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".