ANALISIS PENGARUH ESKPOR, NILAI TUKAR RUPIAH, DAN UTANG LUAR NEGERI TERHADAP CADANGAN DEVISA INDONESIA
Bibliographic record
Abstract
Abstrak Indonesia adalah negara dengan sistem perekonomian terbuka. Penerapan sistem perekonomian terbuka memiliki kaitan erat dengan kegiatan perdagangan internasional yang berperan penting untuk membantu negara memenuhi kebutuhan dalam negerinya. Pembiayaan ke a giatan perdagangan internasional yang dilakukan Indonesia bersumber dari cadangan devisa. Penelitian ini bertujuan untuk mengetahui pengaruh Ekspor, Nilai Tukar Rupiah, dan Utang Luar Negeri terhadap Cadangan Devisa Indonesia. Data yang peneliti gunakan dalam penelitian ini ialah data sekunder selama 15 tahun yakni mulai dari tahun 2005 hingga pada tahun 2019 yang diperoleh dari Badan Pusat Statistik, Bank Indonesia, dan World Bank. Penelitian ini menggunakan analisis deskriptif kuantitatif dan alat analisis yang digunakan adalah analisis regresi linier berganda dengan menggunakan program computer SPSS 13. Hasil dari analisis memperlihatkan bahwa Ekspor, Nilai Tukar Rupiah, dan Utang Luar Negeri secara bersama sama atau simultan berpengaruh terhadap Cadangan Devisa Indonesia. Secara individu atau parsial Ekspor dan Utang Luar Negeri berpengaruh signifikan dan positif terhadap Cadangan Devisa Indonesia. Sedangkan Nilai Tukar Rupiah secara parsial berpengaruh signifikan dan negative terhadap Cadangan Devisa Indonesia. Kata Kunci: Cadangan Devisa Indonesia, Ekspor, Nilai Tukar Rupiah, Utang Luar Negeri Abstract Indonesia is a country with an open economic system. The implementation of an open economic system is closely related to international trade activities which play an important role in helping countries meet their domestic needs. The financing of international trade activities carried out by Indonesia comes from foreign exchange reserves. This study aims to determine the effect of exports, rupiah exchange rate, and foreign debt on Indonesia's foreign exchange reserves. The data that the researcher uses in this study is secondary data for 15 years, starting from 2005 to 2019 which was obtained from the Central Statistics Agency, Bank Indonesia, and the World Bank. This study uses quantitative descriptive analysis and the analytical tool used is multiple linear regression analysis using the SPSS 13 computer program. The results of the analysis show that exports, rupiah exchange rates, and foreign debt simultaneously or simultaneously affect Indonesia's foreign exchange reserves. Individually or partially, Exports and External Debt have a significant and positive effect on Indonesia's Foreign Exchange Reserves. While the Rupiah Exchange Rate partially has a significant and negative effect on Indonesia's Foreign Exchange Reserves. Keywords: Foreign Exchange Reserves, Export, Exchange Rate, Foreign Debt
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".