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Kemampuan Model CFA Dalam Memprediksi Transmisi Kebijakan Moneter Dan Stabilitas Inflasi Di Indonesia Rusiadi; Bhaktiar Efendi; Anggun R Sulistia; Lia Nazliana Nasution; Dewi Mahrani Rangkuty; Nasib
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13016

Abstract

Penelitian ini memprediksi transmisi kebijakan moneter dan stabilitas inflasi di Indonesia. Mekanisme perubahan bunga sampai mempengaruhi inflasi diidentifikasikan sebagai mekanisme transmisi kebijakan moneter. Mekanisme menunjukkan adanya perubahan dan transformasi kebijakan moneter sampai ke jalur money demand, pertumbuhan ekonomi dan perubahan harga. Model CFA (Confirmatory Factor Analysis) menjabarkan model perubahan stabilitas inflasi yang terbentuk. Hasil CFA menyimpulkan integrasi perubahan stabilitas harga ditentukan oleh money demand dan GDP. Naiknya money demand mampu dengan cepat membentuk ketidakstabilan harga-harga di Indonesia, sedangkan pengangguran dan bunga serta investasi kurang mengendalikan perubahan inflasi di Indonesia.
Integration of Financial Capability and The Economy of North Sumatra (Panel Regression Model) Rusiadi; Lia Nazliana Nasution; Anisah Siregar; Abdiyanto; Dewi Mahrani Rangkuty; Nasib
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 2 No. 2 (2023): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v2i2.299

Abstract

The district or province's financial capacity to integrate with the economy. The greater the contribution to the economic progress of North Sumatra. The research establishes regional financial integration (Local Revenue, asset spending, and General Allocation Fund) on North Sumatra's economic ability to develop development potential. The data analysis method uses panel data. The research results found that Local Revenue, asset spending, and General Allocation Funds simultaneously or together had an effect on the economy. Local Revenue and asset spending have a partial effect on the economy. The General Allocation Fund has no partial effect on the economy.
Mengenal Peran Fintech Selama Pandemi Covid-19 Kepada Masyarakat Desa Pahlawan Kecamatan Tanjung Tiram Lia Nazliana Nasution; Dewi Mahrani Rangkuty; Annisa Ilmi Faried
Journal Of Human And Education (JAHE) Vol. 2 No. 1 (2022): Journal of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v2i1.178

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan sosialisasi, pengenalan, pengarahan, serta pembuka wawasan dan pola pikir tentang peran FinTech selama Pandemi COVID-19 kepada masyarakat Desa Pahlawan Kecamatan Tanjung Tiram. Metode pengabdian yang dilakukan yakni melakukan pendekatan dengan sasaran masyarakat Desa Pahlawan. Hasil pengabdian menunjukkan bahwa masyarakat Desa Pahlawan sangat konsentrasi dan antusias dengan paparan yang disampaikan. Adanya diskusi tanya jawab menjadi indikator bahwa masyarakat tertarik dengan materi yang disampaikan. Materi yang disampaikan mampu membuka wawasan pola pikir masyarakat sehingga lebih mengenal FinTech. Rekomendasi tim untuk kegiatan pengabdian masyarakat selanjutnya adalah melaksanakan kembali kegiatan dalam bentuk pelatihan peningkatan keterampilan masyarakat di Desa Pahlawan.
ASEAN-5 Economic Analysis Based on Financial Inclusion and Financial Technology Lia Nazliana Nasution; Rusiadi Rusiadi; Diwayana Putri Nasution
Proceeding International Pelita Bangsa Vol. 1 No. 01 (2023): September 2023
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pipb.v1i01.3112

Abstract

This research aims to find leading economic indicators in each ASEAN-5 country based on financial inclusion and FinTech. Five ASEAN developing countries, Indonesia, the Philippines, Vietnam, Malaysia, and Thailand, were used as observations from 2009 to 2019. The analysis method of this study used the ARDL Panel approach. The results obtained from the ARDL Panel model are: (1) Leading economic fundamental indicators of unemployment rates in Indonesia, the Philippines, Vietnam, Malaysia, and Thailand are through the variable number of bank branches, savings, and e-money (2) Leading indicators of economic fundamentals Inflation rates in Indonesia, the Philippines, Vietnam, and Malaysia are through savings and e-money variables (3) Thailand is the chosen country because the three observation variables, namely the number of bank branch offices, savings, and e-money, can become leading indicators of economic fundamentals for controlling inflation rates.
Determinan Pertumbuhan Ekonomi Di Indonesia Periode 2011-2022 Muhammad Fauzan Rusyidi Nst; Putri Valentine; Rusiadi Rusiadi; Diwayana Putri Nasution; Lia Nazliana Nasution
Jurnal Ilmiah Mahasiswa Perbankan Syariah (JIMPA) Vol 4 No 1 (2024): Jurnal Ilmiah Mahasiswa Perbankan Syariah (JIMPA) - Maret 2024
Publisher : Sekolah Tinggi Ekonomi dan Bisnis Syariah (STEBIS) Indo Global Mandiri Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36908/jimpa.v4i1.329

Abstract

Berdasarkan penelitian terdahulu diketahui jika pengangguran, kemiskinan, inflasi dan meningkat maka akan menurunkan pertumbuhan ekonomi. Tetapi, berdasarkan data diketahui bahwa kemiskinan, pengangguran dan inflasi bergerak secara fluktuatif akan tetapi pertumbuhan ekonomi selalu meningkat setiap tahunnya. Oleh karena itu, tujuan penelitian untuk mengetahui seberapa besar dan bagaimana pengaruh kemiskinan, pengangguran, dan inflasi terhadap pertumbuhan ekonomi di Indonesia Tahun 2011-2022. Model penelitian yang digunakan adalah regresi linier berganda. Data yang digunakan didalam penelitian ini adalah data sekunder yang didapat dari website Badan Pusat Statistik (BPS). Hasil pada penelitian ini menunjukkan bahwa secara parsial (uji t) Pengangguran berpengaruh negatif signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,045 < 0,050 sedangkan nilai thitung < ttabel (-2.525 < 2.44691). Secara parsial variabel Kemiskinan berpengaruh negatif signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,001 < 0,05 sedangkan nilai thitung < ttabel (-5.816 < 2.05183). Secara parsial variabel Pendidikan berpengaruh positif signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,024 > 0,05 sedangkan nilai thitung > ttabel (3,006 > 2.05183). Secara parsial variabel Inflasi berpengaruh negatif signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,025 < 0,05 sedangkan nilai thitung < ttabel (-2.961 < 2.05183). Secara parsial variabel Kesempatan kerja berpengaruh positif signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,004 < 0,05 sedangkan nilai thitung < ttabel (4.577>2.05183). Secara simultan (uji F) variabel Pengangguran, Kemiskinan, Pengangguran, Pendidikan, Inflasi dan Kesempatan Kerja berpengaruh signifikan terhadap Pertumbuhan Ekonomi dengan nilai probability sebesar 0,000 < 0,05 sedangkan nilai Fhitung > Ftabel (95.264 > 3.97). Nilai koefisien determinasi sebesar 0,988 atau 98,8%
OPTIMALISASI POTENSI EKONOMI WISATA ALAM DATUK MELALUI INOVASI DISPORABUDPAR DI KECAMATAN SEI SUKA KABUPATEN BATU BARA Diwayana Putri Nasution; Suhendi Suhendi; Pantun Harianja; Lia Nazliana Nasution; Rusiadi Rusiadi; Bakhtiar Efendi
Jurnal Bina Bangsa Ekonomika Vol. 17 No. 1 (2024): Jurnal Bina Bangsa Ekonomika (JBBE)
Publisher : LP2M Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jbbe.v17i1.512

Abstract

This study aims to analyze the improvement of the welfare of the people of Sei Suka District, Batu Bara Regency, through the tourism sector. There are research variables as dependent variables, namely welfare, and there are five independent variables, namely Management, Strategy, Resources, Tourism and Infrastructure. This study used primary data by observing and distributing questionnaires directly to the field. The data analysis model in this study uses SWOT analysis and Multiple Linear Regression method. The partial test results showed that all independent variables had a positive and significant effect on people's welfare. Simultaneously, the results of the study show that Management, Strategy, Resources, Tourism and Infrastructure simultaneously have a significant effect on the welfare of the community in Sei Suka District, Coal Regency
Macroeconomic Analysis of the Poverty Levels on Sumatra Island Amri Darma Kurniawan S.; Suhendi Suhendi; Andria Zulfa; Lia Nazliana Nasution
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2286

Abstract

This research aims to determine the influence of the Open Unemployment Rate, Gini Ratio and Human Development Index (HDI) on the Poverty Level on Sumatra Island. Research data uses secondary data obtained from the official website of the Central Badan Pusat Statistik (BPS) and Provincial BPS in the form of quantitative data from 10 provinces on the island of Sumatra for the period 2010 - 2023. The research uses the Panel Data Regression Method with the Eviews 12 Student Lite version of the software program. The regression model chosen for this research is the Random Effect Model (REM). The results of data analysis show that the Open Unemployment Rate, Gini Ratio and Human Development Index simultaneously have a significant effect on the Poverty Level on Sumatra Island. Partially, the Open Unemployment Rate has a significant positive effect on the Poverty Rate. Likewise, the Human Development Index has a significant negative effect on Poverty Levels. On the other hand, the Gini Ratio does not have a significant negative effect on the level of poverty on the island of Sumatra during 2010 – 2023.
Analysis of the Effect of International Trade on State Expenditure M. Fauzan Rusyidi Nst; Rizky Rizky; Suhendi Suhendi; Andria Zulfa; Lia Nazliana Nasution
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2272

Abstract

This research aims to figure out how international trade influence the government expenditure. The independent variables of this research are export and import. The dependent variable of this research is government expenditure. The method of this research is OLS. This research use datas from World Bank and BPS. The object of this research is the economic condition of Indonesia. The result of this research are as follows : Export significantly influence the government expenditures. Import doesn’t significantly influence government expenditures. Export and import simultantly influence the government expenditures.
Determinant Analysis of International Trade and Amount of Money in Circulation Against Benchmark Rates Rizki Rizki; Amri Darma Kurniawan S.; Rusiadi Rusiadi; Diwayana Putri Nasution; Lia Nazliana Nasution
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2273

Abstract

The objective of this study is to investigate the impact of independent variables (currency, exports, imports, savings, and credit) on the dependent variable (BI Rate) using the Ordinary Least Squares (OLS) method. The data utilized in this research are sourced from Bank Indonesia, the Central Statistics Agency (Biro Pusat Statistik), and the World Bank, spanning the years 2010 to 2022. The focus of this research is on the macroeconomic conditions in Indonesia.The findings reveal that among the five independent variables, only the exchange rate (Kurs) exerts a partial influence on the BI Rate as the dependent variable. Moreover, collectively, the independent variables, comprising imports, exports, exchange rates, loans credit, and public savings, demonstrate a significant influence on the BI Rate as the dependent variable.
Marine Resources to Indonesia's Food Security Potential Budi Rusdianto; Nuri Rahayu Ningsih; Rusiadi; Diwayana Putri Nasution; Suhendi; Andria Zulfa; Lia Nazliana Nasution; Bakhtiar Efendi
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 2 No. 2 (2023): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v2i2.334

Abstract

The huge economic potential of the ocean in Indonesia and the importance of maintaining the sustainability of marine resource exploitation to support sustainable economic growth and food security. As one of the potentials in the marine and fisheries sector, the estimated potential of fish resources from marine capture fisheries and aquaculture certainly has the potential to fulfill the food of the Indonesian people with high protein nutritional value. The purpose of this research is to see the potential of the marine sector for food security in Indonesia. This type of research is quantitative descriptive research with time series data from 2017 to 2022 obtained from the Indonesian Central Bureau of Statistics. This research is located in Indonesia. The results showed that the water sector, namely fisheries, has high potential to support food security in Indonesia. In addition to the nutritional content contained in fish that is easily digested by the body, the selling price of fish also varies so that it is affordable at all economic levels of Indonesian households.