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Record W7110510482

PENGARUH PENAMBAHAN TEPUNG DAUN KELOR (Moringa oleifera)PADA RANSUM TERHADAP KONSUMSI BAHAN KERING DANBAHAN ORGANIK SERTA KECERNAAN BAHAN KERING DANBAHAN ORGANIK KAMBING PERANAKAN BOER

2024· other· W7110510482 on OpenAlexaff

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2024
Typeother
Language
Field
Topic
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFree accessCompletely randomized designLoinCage
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui: 1) pengaruh penambahan tepung daun kelor dalam pakan terhadap konsumsi bahan kering dan bahan organik serta kecernaan bahan kering dan bahan organik kambing Peranakan Boer; 2) mengetahui penambahan tepung daun kelor yang terbaik dalam pakan terhadap konsumsi bahan kering dan bahan organik serta kecernaan bahan kering dan bahan organik kambing Peranakan Boer. Penelitian dilaksanakan pada Desember 2023--Januari 2024 di Peternakan Kambing Rakyat, Desa Simpang Agung, Kecamatan Seputih Agung, Kabupaten Lampung Tengah. Analisis proksimat bahan kering (BK) dan bahan organik (BO) dilaksanakan di Laboratorium Nutrisi dan Makanan Ternak, Jurusan Peternakan, Fakultas Pertanian, Universitas Lampung. Percobaan dilakukan pada 15 ekor Kambing Peranakan Boer, dengan Rancangan Acak Kelompok (RAK) yang terdiri dari 3 perlakuan dan 5 ulangan, kelompok dibagi berdasarkan bobot tubuh. Perlakuan pada penelitian ini yaitu P0 : Ransum basal 100% (60% silase limbah singkong + 40% konsentrat), P1 : Ransum basal 95% + 5% tepung daun kelor, P2 : Ransum basal 90% + 10% tepung daun kelor.Data Yang diperoleh dianalisis dengan Analysis of Variance (ANOVA) taraf nyata 5%. Peubah yang diamati yaitu konsumsi bahan kering dan bahan organik serta kecernaan bahan kering dan bahan organik. Berdasarkan hasil penelitian dapat disimpulkan bahwa penambahan tepung daun kelor dalam ransum tidak berpengaruh nyata (P>0,05) terhadap konsumsi bahan kering dan bahan organik serta kecernaan bahan kering dan bahan organik kambing Peranakan Boer. Kata kunci: Kambing Peranakan Boer, konsumsi bahan kering, konsumsi bahan organik, kecernaan bahan kering, kecernaan bahan organik, tepung daun kelor iii ABSTRACT THE EFFECT OF ADDING MORINGA LEAF FLOUR (Moringa oleifera) IN THE RATION ON DRY MATTER AND ORGANIC MATTER CONSUMPTION AND DRY MATTER AND ORGANIC MATTER DIGESTIBILITY OF BOER CROSSBREED GOATS By Tri Septiana This research aims to determine: 1) the effect of adding Moringa leaf flour to feed on dry matter and organic matter consumption and the digestibility of dry matter and organic matter of Boer Crossbreed Goats; 2) determine the best addition of Moringa leaf flour in feed on dry matter and organic matter consumption and the digestibility of BK and BO of Boer Crossbreed Goats. The research was carried out in December 2023--January 2024 at the People's Goat Farm, Simpang Agung Village, Seputih Agung District, Central Lampung Regency. Proximate analysis of dry matter (DM) and organic matter (OM) was carried out at the Animal Nutrition and Forage Laboratory, Department of Animal Husbandry, Faculty of Agriculture, University of Lampung. The experiment was carried out on 15 Boer Crossbreed Goats, with a Randomized Block Design (RAK) consisting of 3 treatments and 5 replications, groups were divided based on body weight. The treatments in this study were P0: 100% basal ration (60% cassava waste silage + 40% concentrate), P1: 95% basal ration + 5% Moringa leaf flour, P2: 90% basal ration + 10% Moringa leaf flour. Data What was obtained was analyzed using Analysis of Variance (ANOVA) with a significance level of 5%. The variables observed were the consumption of dry matter and organic matter and digestibility of dry matter and organic matter. Based on the research results, it can be concluded that the addition of Moringa leaf flour in theration has no significant effect (P>0,05) on the consumption of dry matter and organic matter as well as digestibility of dry matter and organic matter on Boer Crossbreed goats. Key words: Boer Crossbreed Goats, dry matter consumption, organic matter consumption,dry matter digestibility, organic matter digestibility, moringa leaves flour

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0100.013
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0090.011
Science and technology studies0.0070.003
Scholarly communication0.0070.006
Open science0.0100.008
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.194
Teacher spread0.185 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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