PENGARUH KEBIJAKAN PEMERINTAH TERHADAP HARGA PANGAN DI MALUKU UTARA
Bibliographic record
Abstract
The government implements a price control policy to protect producers and consumers while simultaneously reducing the rate of inflation by providing subsidies to companies that produce basic necessities and newly developing companies to reduce production costs so they can compete with imported products. The aim of this research is to analyze the influence of government policy on food prices in North Maluku (North Maluku Province, Ternate City and Central Halmahera Regency. Analyze the influence of government policy on food supply in North Maluku. And analyze the influence of government policy on people's purchasing power in North Maluku. The method used in this research is a descriptive method with a simple quantitative and qualitative approach. The research results which have been analyzed with Part Least Square (PLS), using the SmartPLS 4 application tool, show that Government Policy Intervention has a real or significant effect on Food Prices in the City. Ternate and Central Halmahera Regency, then (H1: accepted). So it can be explained that there is a direct influence of government policy intervention variables on food prices in Ternate City and Central Halmahera Regency. Government Policy Intervention has no real effect on Food Supply in Ternate City and Regency Central Halmahera has no real effect or (H0: rejected). And Government Policy Intervention has no real effect on People's Purchasing Power or (H0: rejected). In conclusion, government policy has a significant impact on food prices in the North Maluku region. For this reason, it needs to be optimized through subsidy policies, price regulation, distribution and logistics, agricultural support, and import management. The government also needs to make efforts to ensure the availability of sufficient food supplies at affordable prices for the community. With the right policies, local governments can help stabilize food prices and increase food security in the North Maluku region.Keywords: Government Policy, Food Prices, North Maluku
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".