scholarly journals THE INFLUENCE Of CASHLESS PAYMENT USAGE AND PROTECTION AGAINST FINANCIAL INCLUSION IN MICRO AND SMALL ENTERPRISES IN KEDIRI

2021 ◽  
Vol 1 (2) ◽  
pp. 67-76
Author(s):  
Merlin Lenniawati ◽  
Njo Anastasia
Keyword(s):  
Data Analysis ◽  
Payment System ◽  
Financial Inclusion ◽  
Small Enterprises ◽  
Test Results ◽  
Analysis Method ◽  
Online Questionnaire ◽  
Data Analysis Method ◽  
Micro And Small Enterprises

This study examines the effect of the use of cashless payment system and the protection of cashless payment users on financial inclusion in MSEs in Kediri. The sample used in this study amounted to 400 respondents. Data were collected using an online questionnaire via Google Form. The data analysis method used in this study is PLS. The analysis test results show that there is a significant effect of using the cashless payment system on financial inclusion in MSEs (Micro and Small Enterprises) Kediri.

scholarly journals THE INFLUENCE OF DEMOGRAPHY, SOCIAL MEDIA, RISK ATTITUDE, AND OVERCONFIDENCE ON THE FINANCIAL LITERACY OF USERS SOCIAL MEDIA IN SURABAYA

2021 ◽  
Vol 2 (1) ◽  
pp. 10-19
Author(s):  
Rizon Rizon ◽  
Njo Anastasia ◽  
Evelyn Evelyn
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Financial Literacy ◽  
Risk Attitude ◽  
Test Results ◽  
Analysis Method ◽  
Online Questionnaire ◽  
Data Analysis Method

This study aims to examine the influence of demography, social media, risk attitude, and overconfidence on the financial literacy of users of social media in Surabaya. The sample used in this study amounted to 300 respondents. Data were collected using a online questionnaire via Google Form. The data analysis method used in this study is PLS. The analysis test results show that there is an effect of demography, social media, risk attitude, and overconfidence on users' financial literacy in Surabaya.

scholarly journals Analisis Perputaran Persediaan Dalam Menilai Return On Asset (ROA) Pada PT. Kalbe Farma, Tbk Periode 2015 - 2019

PARAMETER ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Edison Hamid
Keyword(s):  
Data Analysis ◽  
Qualitative Method ◽  
Test Results ◽  
Analysis Method ◽  
Financial Reports ◽  
Average Return ◽  
Data Analysis Method ◽  
Inventory Turnover ◽  
Independent Variable ◽  
General Standard

This study aims to determine how inventory turnover is in assessing Return On Asset. The research object, namely PT. Kalbe Farma, Tbk, which is taken from the financial reports for the period 2015-2019. This study used a qualitative method consisting of two variables, namely inventory cycle as the independent variable and return on asset the dependent variable. The data analysis method used in this research is inventory turnover analysis and return on asset analysis. The test results show that the average inventory turnover of 3.15 per year as a whole is categorized as good, when viewed from the general standard or the industry average which is above 2.5 times. For the average return on asset, it shows that return on asset is included in the very good criteria because it has reached the company standard. Then from the comparison of inventory turnover and return on assetor the last 5 years of the 2015-2019 period, the contribution of inventory turnover in assessing return on asset was 21.28% and the rest contributed to other factors not examined in this study. Penelitian ini bertujuan untuk mengetahui bagaimana perputaran persediaan dalam menilai Return On Asset. Objek penelitian yaitu PT. Kalbe Farma, Tbk yang diambil dari laporan keuangan periode 2015-2019. Penelitian ini menggunakan metode kualitatif yang terdiri dari dua variabel yaitu siklus persediaan sebagai variabel bebas dan return on asset sebagai variabel terikat. Metode analisis data yang digunakan dalam penelitian ini adalah analisis perputaran persediaan dan analisis return on asset. Hasil pengujian menunjukkan bahwa rata-rata perputaran persediaan 3,15 per tahun secara keseluruhan dikategorikan baik, jika dilihat dari standar umum atau rata-rata industri yang berada di atas 2,5 kali. Untuk rata-rata return on asset menunjukkan bahwa return on asset termasuk dalam kriteria sangat baik karena telah mencapai standar perusahaan. Kemudian dari perbandingan perputaran persediaan dan return on assetor 5 tahun terakhir periode 2015-2019, kontribusi perputaran persediaan dalam menilai return on asset adalah 21,28% dan sisanya berkontribusi pada faktor lain yang tidak diteliti dalam penelitian ini.

scholarly journals TINGKAT INKLUSI KEUANGAN SEKTOR PERBANKAN PADA MASYARAKAT DI KECAMATAN TELUK SEGARA KOTA BENGKULU

2019 ◽  
Vol 13 (1) ◽  
pp. 33-46
Author(s):  
Jansen Lionardo ◽  
Dewi Rahmayanti
Keyword(s):  
Data Analysis ◽  
Financial Literacy ◽  
Financial Inclusion ◽  
Descriptive Statistics ◽  
Analysis Method ◽  
Banking Service ◽  
Data Analysis Method ◽  
Inclusion Level

Abstract: This Study aims to analyze how the financial inclusion levels of people in the District Teluk Segara Bengkulu City. This study used questionnaires distributed a total of 300 questionnaires and only 288 questionnaires that can be used. The data analysis method is descriptive statistics. Financial inclusion level of respondens was low. The results showed the level of financial inclusions community in District Teluk Segara Bengkulu City, throught indicator of financial inclusions, banking penetration and use of banking service. The questionnaires of this study use OECD/INFE Toolkit For Measuring Financial Literacy and Financial Inclusions 2015.Keyword: Financial Inclusions, Society in District Teluk Segara Bengkulu City.

BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

2019 ◽  
pp. 173-179
Author(s):  
Andrzej Pawlik
Keyword(s):  
Data Analysis ◽  
Banking Sector ◽  
Statistical Data ◽  
Local Development ◽  
Banking System ◽  
Analysis Method ◽  
Statistical Data Analysis ◽  
Data Analysis Method ◽  
Strong Position ◽  
Cooperative Banks

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Services Quality ◽  
Corporate Image ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

A novel fMRI group data analysis method based on data-driven reference extracting from group subjects

2015 ◽  
Vol 122 (3) ◽  
pp. 362-371 ◽  
Author(s):  
Yuhu Shi ◽  
Weiming Zeng ◽  
Nizhuan Wang ◽  
Dongtailang Chen
Keyword(s):  
Data Analysis ◽  
Data Driven ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Group Data
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