Analysis of the Impact of the Covid-19 Pandemic on the Growth of Non-Performing Loans in Indonesian Banking
Keywords:
Non-performing loans, Covid-19 pandemic, EconomicAbstract
This paper aims to clarify the determinants of the movement of inon-performing loans in the Indonesian banking sector and the impact of the iCOVID i19 pandemic on them. iTo this end, secondary data is obtained from the ministry of iHealth and the financial services authority I (OJK), each consisting of i47 data samples that have undergone different most it analyzes. iThe analysis used the inon-performing loan variable and the iCOVID19 pandemic variable. the results of the data analysis are how that iCOVID19 has is a significant impact on inon-performing loans, and the iCOVID19 variable can be used as an external indicator of the increase in inon-performing loans by Indonesian banks. It has been shown that there is a significant positive correlation between non-performing loans and the country's economic situation.
References
Akbar, iA., iKaryadi., idan iRustandi, iB. iK. i(2021). iAnalisis iNon-Performing iLoan i(NPL) iPada iBank iPembangunan iDaerah iYang iTerdaftar iDi iBursa iEfek iIndonesia iSebelum iDan iSelama iPandemi iCovid-19. iJurnal iE-Bis i(Ekonomi-Bisnis(, i5 i(1): i67-82.
Ghozali, iP. iD. iH. iI. i(2018). iAplikasi iAnalisis iMultivariate idengan iProgram iIBM iSPSS i25 i(25th ied.). iBadan iPenerbit iUniversitas iDiponegoro.
Goodell, iJ. I (2020). Ovid-19 and finance: agendas for future research. iFinance research letters, vol i35. i
Gunawan, iS. i(2005). iAnalisis iRegresi iLinear iGanda idengan iSPSS. iYogyakarta: iGraha iIlmu. i
Hariyani, iI. i(2013). iRestrukturisasi idan iPenghapusan iKredit iMacet i(1st ied.). iKompas iGramedia. i
Muchson, iM. i(2017). iStatistik iDeskriptif. iBogor: iGuepedia
Novalina, iA. i(2020). iIndonesian iEconomy ithe iImpact iof iCOVID-19 i(IHSG iby iARDL). iJurnal iKajian iEkonomi idan iKebijakan iPublik, i5(2), i247-259.
Otoritas iJasa iKeuangan. i(2022). iStatistik iPerbankan iIndonesia. iDepartemen iPerijinan idan iInformasi iPerbankan i: iJakarta.
Parampreet, iK., iSloltzfus, iJ., idan iVikas, iY. I (2018). biostatistics: descriptive statistics. iInternational iJournal iof iAcademic iMedicine, i4 i(1): i60-63 i
Pratamawati, iH. iP. i(2018). iAnalisis iFaktor-faktor iyang imempengaruhi iNon-Performing iLoan ipada iBank iUmum iBUMN iTahun i2012–2016 i[Analysis iof iFactors iAffecting iNon-Performing iLoans iat iState-Owned iCommercial iBanks iin i2012–2016]. iUniversitas iNegeri iYogyakarta. i(In iIndonesian). iRetrieved ifrom ihttps://eprints.uny.ac.id/57723/1/Hadiah%20Putri%20Pratamawa_i_14804241047_skripsi.pdf
Rossana, in. I (2020). iSome iBank's I have iNPLs above i5%, that is it? CNBC Indonesia.
Santoso, iSinggih. i(2008). iPanduan iLengkap iMenguasai iSPSS i16. iJakarta: iGramedia.
Sugiyono. i(2016). iMetode iPenelitian iKuantitatif, iKualitatif idan iR&D. iPT iAlfabet.
Surat iEdaran iBank iIndonesia iNomor i6/23/DPND itanggal i31 iMei i2004 itentang iSistem iPenilaian iTingkat iKesehatan iBank iUmum idengan iMetode iCAMELS i
Tiwu, iM. iI. iH. i(2020). iPengaruh iPandemic iCovid i19 iTerhadap iNpl iBank iPerkreditan iRakyat iDi iIndonesia i[The ieffect iof ithe iCovid i19 ipandemic ion ithe iNPL iof iBPR iin iIndonesia]. iJurnal iAkuntansi, i8(2), i79-87. iRetrieved ifrom ihttps:// iejurnal.undana.ac.id/JAK/article/ iview/2869
World iHealth organization. I (2022). Ovid-19 pandemic: humanity needs leadership and solidarity to defeat iCOVID-19.
Yusuf, iMuri. i(2014). iMetode iPenelitian: iKuantitatif, iKualitatif idan iPenelitian iGabungan iEdisi iPertama. iJakarta: iKencana.