COMPANY'S ROLE IN RESTORING THE ECONOMY OF PANDEMI AFFECTED COMMUNITIES
Bibliographic record
Abstract
Abstrak: Pemulihan ekonomi karena pandemi Covid-19 adalah tanggung jawab setiap negara di Dunia. Indonesia setelah 2 tahun terdampak Covid-19 mulai membenahi ekonomi masyarakat setelah phk yang cukup besar melanda bersamaan dengan tingginya kasus Covid-19 tahun 2020. Penelitian bertujuan untuk memetakan peran perusahaan, dalam hal ini adalah PT Kilang Pertamina Internasional (KPI) dalam memulihkan ekonomi masyarakat terdampak melalui pemenuhan kebutuhan dasar, pencegahan cluster baru, pelibatan UMKM dan upaya lain untuk membangkitkan kehidupan sosial ekonomi masyarakat. Metode penelitian ini adalah deskriptif kualitatif, dengan berlandaskan teori pembangunan masyarakat pasca bencana. Hasilnya, PT KPI memenuhi kebutuhan dasar masyarakat melalui "pasar pangan siaga covid". Untuk mencegah penyebaran cluster baru, PT KPI menggerakkan mitra binaan CSR-nya untuk memproduksi face shield, masker dan handsanitizer. Berbagai upaya tersebut dilakukan berbasis berbasis UMKM untuk memulihkan perekonomian masyarakat khususnya di wilayah sekitar perusahaan. Dalam melakukan tanggap bencana, PT KPI Unit Dumai turut melakukan kemitraan dan Kerjasama melibatkan aktor dari berbagai sector sepertihalnya Posyandu, Rutan Kelas II B, Pemerintah daerah, Kelompok Pemuda, serta Lembaga Pemberdayaan Masyarakat Kota (LPMK) agar dapat menunjang keberhasilan mitigasi bencana di luar daerah Kota Dumai umumnya dan di Kota Dumai khususnya. Kata kunci: pembangunan masyarakat, usaha mikro kecil dan menengah, tangguung jawab sosial perusahaan, pembangunan sosial, covid-19 Abstract: Economic recovery due to the Covid-19 pandemic is the responsibility of every country in the world. After 2 years of being affected by Covid-19, Indonesia has begun to improve the people's economy after sizable layoffs hit along with the high number of Covid-19 cases in 2020. The research aims to map the role of companies, in this case, PT Kilang Pertamina Internasional (KPI), in restoring the community's economy affected by fulfilling basic needs, preventing new clusters, involving MSMEs and other efforts to revive the socio-economic life of the community. This research method is descriptive qualitative, based on the theory of post-disaster community development. As a result, PT KPI Dumai Unit fulfils the community's basic needs through the "covid alert food market". To prevent the spread of new clusters, PT KPI mobilized its CSR partners to produce face shields, masks and hand sanitisers. These various efforts were made based on UMKM to restore the community's economy, especially around the company. In carrying out disaster response, PT KPI Dumai Unit participates in partnerships and collaboration involving actors from various sectors such as Posyandu, Class II B prisons, local Government, youth groups, and City Community Empowerment Institutions (LPMK) to restore the community's economy affected by the pandemic. Keywords: community development, micro small and medium enterprises, corporate social responsibility, social development, covid-19
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".