DETAIL KOLEKSI

Analisis pengaruh kebijakan inklusi keuangan terhadap kinerja keuangan bank komersial di Indonesia


Oleh : Nur Rahmah Hastiati

Info Katalog

File Jurnal : 00000000000000098251.pdf

Nomor Panggil : 2019_TA_AK_023152221

Penerbit : FEB - Usakti

Kota Terbit : Jakarta

Tahun Terbit : 2019

Pembimbing 1 : Hasnawati

Subyek : Banking - Financial performance

Kata Kunci : financial inclusion, operating income, financial performance, credit for SMEs, number of braches, nu


File Repositori
No. Nama File Ukuran (KB) Status
1. 2019_TA_AK_023152221_Halaman-Judul.pdf 2952.7
2. 2019_TA_AK_023152221_Bab-1.pdf 751.73
3. 2019_TA_AK_023152221_Bab-2.pdf 1089.08
4. 2019_TA_AK_023152221_Bab-3.pdf 735.74
5. 2019_TA_AK_023152221_Bab-4.pdf 1469.01
6. 2019_TA_AK_023152221_Bab-5.pdf 498.78
7. 2019_TA_AK_023152221_Daftar-Pustaka.pdf 517.06
8. 2019_TA_AK_023152221_Lampiran.pdf 1444.36

P Populasi dari penelitian ini adalah perusahaan di bidang Perbankan yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2015-2017. Jumlah sampel yaitu 35 Bank yangmemenuhi kriteria metode purposive sampling. Metode statistik yang digunakan adalahAnalisis Regresi Linear Berganda dengan pengujian hipotesis menggunakan uji t.Berdasarkan hasil analisis data disimpulkan bahwa hanya variabel jumlah kartukredit yang memiliki pengaruh signifikan dengan arah positif terhadap laba operasional,sedangkan variabel jumlah kredit untuk UMKM, jumlah kantor cabang, jumlah ATM, danjumlah inovasi baru tidak berpengaruh signifikan atau berpengaruh negatif terhadap labaoperasional. Hasil uji kesesuaian model menunjukkan bahwa secara simultan jumlah kredit untuk UMKM, jumlah kantor cabang, jumlah ATM, jumlah kartu kredit dan jumlah inovasi baru berpengaruh terhadap laba operasional.

T This research was aimed to investigate relationship between financial inclusionpolicy and financial performance of Commercial Bank in Indonesia. Independent Variables in this research consist of credits for small and medium enterprises (SMEs), number of branch offices, number of Automatic Teller Machines (ATMs), number of credit cards, and number of new innovations. The Dependent Variable in this research is income after operation (operating income).The population of this research is the company of Banking sector listed in IndonesiaStock Exchange during 2015-2017. Total sample are 35 Banks that meet criteria inpurposive sampling method. The statistical method used is multiplied analysis linearregression, with hypotheses testing of statistic t-tests.Depend on the data analysis showed that only number of credit card has significantly positive effect on operating income,while credits for SMEs, number of branch offices, number of ATMs, and number of new innovations has no significantly or negatively effect on operating income. The goodness of fit testing showed that credits for SMEs, number of branch offices, number of ATMs, number of credit cards,and number of new innovations simultaneously effect on operational income.

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