ANALISIS PENGARUH FOREIGN DIRECT INVESTMENT, UTANG \nLUAR NEGERI, INFLASI DAN KURS TERHADAP PRODUK \nDOMESTIK BRUTO DI INDONESIA
Bibliographic record
Abstract
Economic growth is an important indicator to describes the achievement of a \ncountry's economy. One concept that is often used to determine a country's \neconomic growth is Gross Domestic Product. The rate of economic growth is \ninfluenced by factors of capital accumulation, inflation and exchange rates. \nCapital accumulation is very important for a country because it serves as a source \nof domestic financing used to accelerate the economy. Capital is obtained through \nFDI and foreign debt. Inflation and exchange rates are important factors in the \neconomy that affect economic growth. The purpose of this study was to analyze \nthe effect of FDI, foreign debt, inflation and the exchange rate on Indonesia's gross \ndomestic product in the first quarter of 2012 to fourth quarter of 2021. Data were \nobtained from Bank Indonesia (BI), the Central Statistics Agency (BPS) and World \nBank. This study uses the Error Correction Model (ECM) analysis method. The \nresults of this study indicate that the variables of external debt and inflation have \na positive and significant effect on gross domestic product in Indonesia. \nMeanwhile, FDI and exchange rates have a negative but not significant effect on \ngross domestic product in Indonesia. \n \nKeywords: FDI, , External Debt, Inflation, Exchange Rate, Gross Domestic Bruto. \nPertumbuhan ekonomi merupakan indikator penting yang menggambarkan \npencapaian perekonomian suatu negara. Salah satu konsep yang sering kali \ndigunakan untuk mengetahui pertumbuhan ekonomi suatu negara yaitu Produk \nDomestik Bruto. Laju pertumbuhan ekonomi dipengaruhi oleh faktor akumulasi \nmodal, inflasi dan nilai tukar. Akumulasi modal sangat penting bagi suatu negara \nkarena berfungsi sebagai sumber pembiayaan dalam negeri yang digunakan untuk \nmempercepat perekonomian. Modal diperoleh melalui FDI dan utang luar negeri. \nInflasi dan nilai tukar merupakan faktor penting dalam perekonomian yang \nmempengaruhi pertumbuhan ekonomi. Tujuan penelitian ini adalah untuk \nmenganalisis pengaruh FDI, utang luar negeri, inflasi dan nilai tukar terhadap \nproduk domestik bruto di Indonesia triwulan I tahun 2012 sampai dengan triwulan \nIV tahun 2021. Data diperoleh dari Bank Indonesia (BI), Badan Pusat Statistik \n(BPS) dan World Bank. Penelitian ini menggunakan metode analisis Error \nCorrection Model (ECM). Hasil penelitian ini menunjukkan bahwa variabel utang \nluar negeri dan inflasi berpengaruh positif dan signifikan terhadap produk \ndomestik bruto di Indonesia. Sedangkan variabel FDI dan kurs berpengaruh \nnegatif namun tidak signifikan terhadap produk domestik bruto di Indonesia. \n \nKata kunci: FDI, External Debt, Inflation, Exchange Rate, Gross Domestic Bruto. \n
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".