Pengaruh Fasilitas Layanan Internet Banking Dan Mobile Banking Terhadap Kepuasan Nasabah Bank Syariah Indonesia Kantor Cabang Tangerang

Khumaini, Sabik; Fahrudin, Fahrudin; Samsuri, Samsuri

doi:10.31000/almaal.v3i2.5403

Cited by 10 publications

(10 citation statements)

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“…Probably, it is due to the barbaric and unregulated development of Internet finance and the lack of a healthy and sustainable development vision. This has resulted in a failure to maximize the benefits of people's lives and production (Khumaini et al 2022). Additionally, substantial numbers of capital have entered the capital market without proper pre-assessment of solvency, which constitutes an overall systemic risk and undermines the stability of the financial market (Chen et al 2017).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models

Elston

2022

Oper Manag Res

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A sound credit assessment mechanism has been explored for many years and is the key to internet finance development, and scholars divide credit assessment mechanisms into linear assessment and nonlinear assessment. The purpose is to explore the role of two important data analytics models including machine learning and deep learning in internet credit risk assessment and improve the accuracy of financial prediction. First, the problems in the current internet financial risk assessment are understood, and data of MSE (Micro small Enterprises) are chosen for analysis. Then, a feature extraction method based on machine learning is proposed to solve data redundancy and interference in enterprise credit risk assessment. Finally, to solve the data imbalance problem in the credit risk assessment system, a credit risk assessment system based on the deep learning DL algorithm is introduced, and the proposed credit risk assessment system is verified through a fusion algorithm in different models with specific enterprise data. The results show that the credit risk assessment model based on the machine learning algorithm optimizes the standard algorithm through the global optimal solution. The credit risk assessment model based on deep learning can effectively solve imbalanced data. The algorithm generalization is improved through layer-by-layer learning. Comparison analysis shows that the accuracy of the proposed fusion algorithm is 25% higher than that of the latest CNN (Convolutional Neural Network) algorithm. The results can provide a new research idea for the assessment of internet financial risk, which has important reference value for preventing financial systemic risk.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models

Elston

2022

Oper Manag Res

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“…Kegiatan ini menggunakan jaringan internet sebagai perantara atau penghubung antara nasabah dengan bank tanpa harus mendatangi kantor bank. Nasabah dapat menggunakan perangkat computer desktop, laptop, tablet atau smartphone yang terhubung ke jaringan internet sebagai penghubung antara perangkat nasabah dengan sistem bank (Nelson 2015) dalam (Khumaini et al, 2022) Media internet. Kedatangan internet banking sudah menimbulkan efisiensi penyelenggaraan aktivitas usaha bank sangat besar.…”

Section: Internet Bankingunclassified

“…(Mobile banking merupakan suatu layanan perbankan yang dapat diakses langsung oleh nasabah melalui handphone dengan menggunakan menu yang sudah tersedia di Subcriber Identity Module Card (SIM Card) atau biasa dikenal dengan menu layanan data atau SIM Toolkit. (Khumaini et al, 2022) Layanan mobile banking memiliki fungsi yang mirip dengan Internet banking, termasuk layanan informasi mengenai (saldo, perubahan rekening, laporan mutasi kartu kredit, suku bunga, lokasi cabang/ATM terdekat) dan layanan perdagangan seperti transfer telegraf. Pembayaran faktur.…”

Section: Mobile Bankingunclassified

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Pengaruh Penggunaan Layanan Electronic Banking Terhadap Kepuasan Nasabah Di Daerah Istimewa Yogyakarta

Widyayanti¹,

Hamid²

2022

jrabi

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This study is a study that analyzes the effect of electronic banking which consists of internet banking, mobile banking and sms banking on customer satisfaction. This research was conducted in the Special Region of Yogyakarta (DIY) with 200 bank customers as respondents. This research, which was conducted with a quantitative approach, collected the results of respondent data through questionnaires distributed to 10 banks in DIY. Research analysis using Multiple Regression Analysis using SPSS analysis tool with the results β1 = 0.283, β2 = 0.398 and β3 = 0.283 then Internet Banking (X1), Mobile Banking (X2) and SMS Banking (X3) at a significance of 0.000 <0.05 have a positive effect significant impact on Bank Customer Satisfaction in the Special Region of Yogyakarta (DIY). The F test that was carried out provided evidence that Ha was accepted which showed a mutual influence relationship between the independent variable and the dependent variable. Meanwhile, based on the summary model test, the three independent variables (free) X1, X2, and X3 indicate a positive influence simultaneously or together on Y (Customer Satisfaction). Thus, the hypothesis is proven that Electronic Banking Services consisting of Internet Banking, Mobile Banking and SMS Banking have a significant positive effect on Bank Customer Satisfaction in the Special Region of Yogyakarta.

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“…Populasi dalam penelitian ini adalah nasabah atau masyarakat yang menggunakan fasilitas layanan internet banking di Bankaltimtara cabang Penajam Paser Utara sebanyak 90 responden. Dalam penelitian ini menggunakan teknik random sampling, sampel random sampling adalah pengambilan sampel anggota populasi dilakukan secara acak tanpa memperhatikan strata dalam populasi itu[12]. d. Pengumpulan Data Teknik pengumpulan data merupakan sebuah metode yang dilakukan oleh seorang peneliti untuk dapat mengumpulkan data dan informasi yang nantinya berguna sebagai fakta pendukung dalam memaparkan penelitian[13].…”

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Evaluasi Tingkat Kepuasan Masyarakat Terhadap Penggunaan Aplikasi DG Bankaltimtara Menggunakan Pieces Framework

Febiola

Canta²,

Hadisaputro³

2022

Jur. Ris. Kom.

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Bankaltimtara is PT Bank Pembangunan Daerah Kalimantan Timur and North Kalimantan operating under the trade name Bankaltimtara which has a banking application named DG Bankaltimtara. And intended for all Bankaltimtara customers who have savings. DG Bankaltimtara can be installed via smartphones, such as Android or IOS. That is, it is enough just to connect to the internet network and access DG Bankltimtara, especially users at the North Penajam Paser branch, so all banking matters can be easily completed in just a matter of minutes. There are several service features provided such as balance information, account mutation information, transfers between accounts and to other banks, payments, and purchases. With the DG Bankaltimtara application, it is necessary to identify problems to find out how satisfied the community or users are with the application. One method that can be used in evaluating is to use the PIECES Framework (Performance, Information, Economic, Control, Efficiency, Service) method. Based on the PIECES method which consists of Performance, Information, Economic, Control, Efficiency, and Service to measure the level of satisfaction with the use of the DG Bankaltimtara application, the North Penajam Paser branch can be seen from each of the existing variables, to see how much satisfaction the application user has. DG Bankaltimtara in the PIECES framework method is to produce an average value of the questionnaire results of 4.46 on the likert scale with very satisfied category

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Pengaruh Fasilitas Layanan Internet Banking Dan Mobile Banking Terhadap Kepuasan Nasabah Bank Syariah Indonesia Kantor Cabang Tangerang

Cited by 10 publications

References 0 publications

RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models

RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models

Pengaruh Penggunaan Layanan Electronic Banking Terhadap Kepuasan Nasabah Di Daerah Istimewa Yogyakarta

Evaluasi Tingkat Kepuasan Masyarakat Terhadap Penggunaan Aplikasi DG Bankaltimtara Menggunakan Pieces Framework

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