KORELASI PANJANG LENGAN ATAS DENGAN TINGGI BADAN PADA WANITA SUKU BANJAR
Bibliographic record
Abstract
Abstract: The role of identification in the field of forensic medicine is the most important thing to the victims who have died. Identification is needed to reveal the identity of the corpse, one is needed to estimate the length of the corpse. The purpose of this research is analyzing the correlation between the length of upper arm with height in Banjarese student of Medical Faculty at Lambung Mangkurat University and to get height estimation formula based on the length of upper arm in Banjarese woman. The research methodology is the observational analytic with the cross sectional approach method. This research uses the purposive sampling method to take subject result with the total sample as many as 52 people. The Pearson test result showed that value p = 0,000 and value r = 0,933 for right upper arm and r = 0,928 for left upper arm, which indicated a very strong correlation between right and left upper arm with height in Banjarese woman. The conclusion from this research is that there is very strong correlation between the length of upper arm with height in Banjarese woman, with height estimation formula TB = 59,829 + 3,010 x PLAkn for right upper arm and TB = 59,618 + 3,020 x PLAkr for left upper arm. Keywords : identification, height estimation, Banjarese woman Abstrak: Peranan identifikasi dalam bidang ilmu kedokteran forensik merupakan hal paling penting pada korban yang telah meninggal. Identifikasi sangat dibutuhkan untuk mengungkapkan identitas mayat, salah satu yang diperlukan yaitu dengan memperkirakan panjang tubuh mayat tersebut. Tujuan penelitian ini yaitu menganalisis korelasi panjang lengan atas dengan tinggi badan pada mahasiswi suku Banjar di Fakultas Kedokteran Universitas Lambung Mangkurat dan untuk mendapatkan formula estimasi tinggi badan berdasarkan panjang lengan atas pada wanita suku Banjar. Metode penelitian ini yaitu observasional analitik dengan metode pendekatan cross sectional. Pengambilan subjek penelitian menggunakan metode purposive sampling dengan jumlah sampel sebanyak 52 orang. Hasil uji Pearson menunjukkan nilai p = 0,000 dan nilai r = 0,933 untuk lengan kanan dan r = 0,928 untuk lengan kiri, yang menunjukkan adanya korelasi yang sangat kuat antara panjang lengan atas kanan dan kiri dengan tinggi badan pada wanita suku Banjar. Kesimpulan dari penelitian ini yaitu terdapat korelasi yang sangat kuat antara panjang lengan atas dengan tinggi badan pada wanita suku Banjar, dengan formula estimasi tinggi badan TB = 59,829 + 3,010 x PLAkn untuk lengan kanan dan TB = 59,618 + 3,020 x PLAkr untuk lengan kiri. Kata-kata kunci : identifikasi, estimasi tinggi badan, wanita suku Banjar
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".