Relawan dalam Perspektif Islam (Studi : Aksi Cepat Tanggap Cabang Sumatera Utara)
Bibliographic record
Abstract
Humans are weak creatures who are powerless to face natural disasters, which have an impact on all aspects of life. Volunteers on this issue, present for humanity and natural disasters. Volunteers are the most needed fighters at the right time and on the front lines. The Humanitarian Foundation for Aksi Cepat Tanggap (ACT) is an organization whose members are called volunteers. ACT is spread across various regions in Indonesia, one of its branches is in Medan, namely Aksi Cepat Tanggap, North Sumatra Branch (ACT Sumut). The purpose of this study is to find out what is meant by volunteering from an Islamic perspective and to find out how the role of Aksi Cepat Tanggap’s North Sumatra Branch is as a humanitarian movement (volunteers). The method used is field research with a qualitative research approach. Sources of data were obtained from volunteers in ACT North Sumatra. The findings of the study found that Islam appeals to work and do good deeds outside the scope of profit and loss, namely voluntary work or volunteering who only expects the pleasure of Allah SWT. Volunteers are in line with what Islam teaches, for example in terms of helping. In conclusion, a volunteer in an Islamic perspective is a person or group of people who aim to help people who need humanitarian assistance voluntarily to include people who are in the way of Allah. ACT North Sumatra plays a role as a liaison between the beneficiary (donors and benefactors) to parties they cannot reach directly to provide humanitarian assistance to people in need.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".