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IDENTIFIKASI SEKTOR UNGGULAN KABUPATEN MINAHASA: ANALISIS DENGAN PENDEKATAN LOCATION QUOTIENT (LQ) supriyanto supriyanto; Kaparang, Vica W.P.
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/djs1cf37

Abstract

This study aims to identify and analyze the leading sectors in the economy of Minahasa Regency for the 2019-2023 period using the Location Quotient (LQ) method. The data used is secondary data in the form of Gross Regional Domestic Product (GRDP) of Minahasa Regency and North Sulawesi Province obtained from the Central Bureau of Statistics. The results of the analysis show that there are several basic sectors with an LQ value> 1, namely agriculture, forestry and fisheries (LQ = 1.28), mining and quarrying (LQ = 1.28), processing industry (LQ = 1.15), electricity and gas supply (LQ = 1.18), water supply and waste management (LQ = 1.07), construction (LQ = 1.14), real estate (LQ = 1.27), and government administration (LQ = 1.21), education services (average LQ = 1. 06), and other services (average LQ = 1.06). An important finding in this study is the significant transformation in the manufacturing sector which experienced a drastic increase from LQ=0.78 in 2022 to LQ=2.56 in 2023. Meanwhile, the tourism, transportation, and information communication sectors are still classified as non-base sectors with LQ values <1. This study recommends strengthening the basic sectors through industrialization, agricultural modernization, and infrastructure development policies, as well as special programs to develop non-base sectors to create more equitable and sustainable economic growth in Minahasa Regency.
Prediction of Regional Development Bank Ratings based on Financial Risk Factors Kaparang, Vica W.P.; Lambut, Adventinus K.; Supriyanto, Supriyanto
Journal of Finance and Business Digital Vol. 3 No. 2 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jfbd.v3i2.10178

Abstract

The research analyzes predictions of regional development bank ratings, using financial risk factors, namely profitability, asset quality, and capital, each of which uses the ROA ratio, NPL, and the amount of core capital or Tier 1 capital from the bank. As a development by applying similarities from previous research, the current research examines the financial performance of PT Regional Development Bank North Sulawesi Gorontalo during 2019-2023. The results of this research show that by applying equations in bank rating predictions that take into account financial risk factors, BSG received a rating that was different from the actual rating given by the designated rating agency. This research will discuss the prediction results with analysis that focuses more on BSG's own financial performance, especially financial risk factors.
Analisis Faktor Risiko Keuangan terhadap Peringkat Bank Kaparang, Vica W.P.; Lembong, Herningsih S.; Ombuh, Irvandi W.
Balance : Jurnal Akuntansi dan Manajemen Vol. 2 No. 3 (2023): Desember 2023
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jam.v2i3.423

Abstract

Penelitian ini menguji hubungan faktor risiko keuangan terhadap peringkat bank. Faktor risiko keuangan merupakan profitabilitas, kualitas aset, dan permodalan bank yang masing-masing diukur oleh rasio ROA, rasio NPL, dan jumlah Tier-1 capital yang didapat dari laporan keuangan triwulan bank per 31 Desember 2019-2022. Data peringkat bank didapat dari laporan pemeringkatan yang dirilis oleh Pefindo tahun 2019-2022. Analisis data dilakukan menggunakan analisis regresi dan diperoleh hasil bahwa faktor risiko keuangan memiliki korealasi terhadap peringkat bank. Profitabilitas dan kualitas aset bank memiliki korelasi negatif namun memiliki pengaruh yang lemah, sedangkan permodalan bank memiliki berkorelasi positif dan pengaruh yang moderat terhadap peringkat bank. This paper examined the correlation of financial risk factors to bank rating. The financial risk factors such profitability, asset quality, and bank capital were respectively measured by return on asset ratio, non-performing loan ratio, and amount of Tier-1 capital from bank’s quarterly financial report as of December 31, 2019-2022. The data of bank ratings were obtained from rating reports released by PEFINDO for 2019-2022. The analysis of the data was conducted using regression analysis and suggested that the financial risk factors had correlations with bank rating. The profitability and asset quality had a negative correlation to bank rating but weak, while bank capital had a positive correlation and moderate.