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Showing 35 articles found for "Vector"

The Effect of Inflation, Exchange Rate, BI Rate, and Gross Domestic Product (GDP) on Third-Party Funds of Islamic Commercial Banks during the 2020–2024 Period

Tasya Rachma, Misdiyono, Aulia Nugraha
Abstract: This study aims to examine the short-term and long-term relationships between inflation, exchange rate, BI rate, and GDP on third-party funds (DPK) in Islamic commercial banks. This research uses a quantitative approach… and secondary data, which consist of 60 monthly observations from January 2020 to December 2024. The analysis tool employed is the Vector Error Correction Model (VECM), with several tests conducted, including the stationarity test, optimal lag test, VAR stability test, cointegration test, Granger causality test, VECM estimation, impulse response function (IRF) test, and forecast error variance decomposition (FEVD) test. The results indicate that inflation has a significant negative effect on DPK in both the short and long term. The exchange rate has no significant effect on DPK in either the short or long term. The BI rate does not affect DPK in the short term, while in the long term, it tends to show a negative effect, though not significant. Gross Domestic Product (GDP) has a significant positive effect on DPK in both the short and long term.

The Impact of Halal Product Exports on Indonesia’s Economic Growth, 2020–2024

Aulia Rahmi Ma’rifah, Silvia Vitari Anam, Maulana Syarif Hidayatullah
Abstract: This study examines the effect of export value on Indonesia’s economic growth during the 2020–2024 period. The purpose of the research is to determine whether export performance contributes to the increase of national economic… l economic growth in both the short and long term. The research applies a quantitative design using secondary time series data obtained from official institutions, including export data from the Ministry of Trade of the Republic of Indonesia and economic growth data from the Central Statistics Agency. The analysis technique employed is the Vector Error Correction Model, which identifies short-run and long-run relationships between variables. The results show that in the short run, export value has a positive and significant influence on economic growth, while in the long run, it shows a positive but insignificant relationship.

Analisis Perbandingan Algoritma Machine Learning Dalam Klasifikasi Gangguan Tidur

Nabila Khansa, Zaehol Fatah
Abstract: Gangguan tidur seperti insomnia dan sleep apnea merupakan masalah kesehatan global yang dapat menurunkan kualitas hidup. Deteksi dini terhadap gangguan ini penting dilakukan, khususnya dengan bantuan teknologi seperti algoritma… goritma data mining untuk meningkatkan ketepatan diagnosis. Data mining adalah bagian esensial dari analitik data dalam disiplin ilmu data science, yang memberikan berbagai manfaat luas dan aplikasi yang relevan. Penelitian ini menggunakan dataset Sleep Health and Lifestyle dari Kaggle untuk mengevaluasi kinerja tiga algoritma data mining, yaitu Naïve Bayes, Support Vector Machine (SVM), dan Neural Network, dalam mengklasifikasi gangguan tidur. Proses pengembangan model mengikuti tahapan CRISP-DM dengan pengujian akurasi menggunakan Cross Validation dan evaluasi menggunakan Confusion Matrix dan kurva ROC. Berdasarkan hasil pengujian, algoritma Neural Network menunjukkan kinerja terbaik dengan akurasi 93,08% dan nilai AUC yang termasuk dalam klasifikasi "Excellent." Temuan ini menunjukkan bahwa Neural Network efektif dalam mengklasifikasi gangguan tidur, sehingga dapat mendukung proses diagnosa dan penanganan gangguan tidur secara lebih akurat.

The Effect of Macroeconomic Factors on The Financial Performance of Banking in Indonesia

Firdausi, Iqbal
Abstract: This study aims to determine the effect of short-term and long-term macroeconomic factors on the financial performance of Islamic banking in Indonesia. The dependent variables in this study are Return on Assets (ROA), Financial… nancial to Deposit Ratio (FDR) and Operating Costs of Operating Income (BOPO) as proxies of financial performance. While the independent variables are industrial production index (IPI), inflation, BI rate, composite stock price index (CSPI) and exchange rates. The analytical method used is Vector Error Correction Models (VECM). The data used in this study are monthly time series data from January 2010 - December 2015. The results of the study state that in the long term the influence of the Industrial Production Index (IPI), inflation and exchange rates have a negative and significant effect on Return on Assets ( ROA) and Financial to Deposit Ratio (FDR). Meanwhile, the BI rate and the Composite Stock Price Index (JCI) have a positive and significant impact on Return on Assets (ROA) and Financial to Deposit Ratio (FDR). Industrial Production Index (IPI), inflation and exchange rates have a positive and significant influence on the Operating Cost of Operating Income (BOPO). Meanwhile, the BI rate and the Composite Stock Price Index (JCI) have a negative and significant effect on the Operating Cost of Operating Income (BOPO). The short-term effect of macroeconomic variables on financial performance (ROA, FDR and BOPO) does not show a significant relationship.

Hubungan Tingkat Pengetahuan Dan Motivasi Dengan Kepatuhan Minum Obat Anti Tuberkulosis Pada Penderita TB Paru Di Rumah Sakit An-Nisa Tangerang

Clara Aulia Rachmah, Adi Dwi Susanto, Imas Sartika
Abstract: Background: Pulmonary tuberculosis (pulmonary TB) is a chronic infectious disease caused by the bacterium Mycobacterium tuberculosis. Mycobacterium tuberculosis is a bacterium that causes tuberculosis infection which is… transmitted by droplet splashes and becomes a vector of transmission when a person interacts physically. Objective: This study aims to determine the relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication at An-Nisa Hospital Tangerang. Methods: This study used descriptive analytic quantitative research with a cross sectional approach. The sampling technique used was purposive sampling method, where this technique selected subjects in a population that matched the criteria as a sample, namely pulmonary TB patients who were undergoing initial and advanced treatment at An-Nisa Hospital, Tangerang, totaling 102 respondents. Data analysis was performed using the chi-square test. Results: The results of the respondent's data processing showed that the level of knowledge with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.021), and motivation with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.027 ). Conclusion: It can be concluded that there is a relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication in patients with pulmonary TB. Therefore, to reduce the occurrence of drug-resistant TB, efforts should be made to increase adherence to treatment in TB patients, either through the method of providing direct motivation or through counseling about pulmonary TB disease.