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Contact Name
Siti Hapsah Pahira
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bustechno1rin@gmail.com
Phone
+6285213412727
Journal Mail Official
bustechno1rin@gmail.com
Editorial Address
Desa Panambangan Kecamatan Sedong Kabupaten Cirebon Jawa Barat, Indonesia
Location
Kab. cirebon,
Jawa barat
INDONESIA
Journal of Business, Social and Technology
ISSN : 28072928     EISSN : 28076362     DOI : 10.59261
This journal publishes research articles covering all aspects of information technology, information systems, agricultural technology, computer social and political sciences, and economics that belong to the business, social, and technological context.
Articles 57 Documents
The Influence of Foreign Insurance Affiliates, Market Share, Own Retention Ratio, Claims Ratio and Cost Ratio on the Performance of General Insurance Companies in Indonesia Asep Iskandar; P. Basuki Hadiprajitno
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.147

Abstract

This study examines the effect of foreign insurance affiliation, market share, own retention ratio, claims ratio and expense ratio on the performance of general insurance companies in Indonesia. The performance of insurance companies in this study uses a measure of return on equity (ROE). The research population is all general insurance companies in Indonesia operating in 2018-2021. The research sample is 177 insurance companies in that period. Data collection uses financial reports submitted by insurance companies to the Financial Services Authority. Furthermore, to perform data analysis, multiple linear regression through the use of SPSS software as a tool is used in this study. The results show that foreign affiliation and own retention ratio have a positive impact on insurance company ROE. Meanwhile, market share, claims ratio, and expense ratio have a negative effect on ROE. Taken together, foreign affiliate, market share, own retention ratio, claims ratio and expense ratio affect ROE. The results of this study can provide an overview to regulators in regulating foreign ownership in the insurance industry in Indonesia as well as regulations regarding self-retention. For shareholders and management of insurance companies, this research can provide an overview of foreign cooperation policies and reinsurance policies associated with the risk profile of insurance business lines in Indonesia, fee policies, underwriting and claim handling.
The Effect of Green Credit and Other Determinants of Credit Risk Commercial Bank in Indonesia Ressita Nugrahaeni; Harjum Muharam
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.148

Abstract

In order to achieve the Notionally Determined Contribution (NDC) target through reducing greenhouse gas emissions, the Government of Indonesia is trying to develop sustainable finance. Commercial Banks as a financial service institution are required to implement sustainable finance, among others by reporting loans that meet the criteria for Environmentally Friendly Business Activities (KUBL). Credit risk is one of the main risks for banks. Research on the effect of lending that meets KUBL or green loan criteria on bank credit risk as reflected in NPLs has never been carried out. In this study, we analyze the effect of green loans, and the influence of other variables, namely bank performance variables (LDR, CAR, ROA, NIM) and bank size on credit risk of commercial banks in Indonesia. This study uses annual available data from 107 commercial banks in Indonesia for the period from 2019 to 2021. Based on the results of this study, the effect of green loans on NPL is not significant because the percentage of green loans is relatively low compared to the total bank credit portfolio in Indonesia. For this reason, various incentives are needed from both the Authority and the Government to encourage commercial banks to increase green loans.Meanwhilebank performance variables, namely LDR, CAR, NIM and bank size have a significant influence on the credit risk of commercial banks in Indonesia. Bank performance variables namely LDR, CAR have a positive effect on bank NPLs, the NIM ratio and bank size have a negative effect on bank NPLs.
Analysis of the Effect of Credit Risk and Market Risk on Banking Capital Satisfaction during the Covid-19 Pandemic (Case Study on Commercial Banks In Indonesia) Saezar Alamaint; Wisnu Mawardi
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.149

Abstract

The COVID-19 pandemic has posed significant challenges to the financial stability of banking institutions around the world. This research seeks to conduct an empirical study to determine the effect of credit risk and market risk on capital security. This study aims to examine (1) the effect of Credit Restructuring,Non-Performing Loans (NPL), Net Interest (NIM) on Capital Adequacy Ratio (CAR) (2) the effect of NPL, NIM on Return On Assets (ROA) (3) the effect of ROA on CAR and (4) the effect of NIM, NPL to CAR with ROA as the intervening variable. The sample for this research is commercial banks registered with OJK in 2020 that meet the research criteria. The method of analysis in this study is path analysis which is the development of multiple and bivariate regression analysis. The research results show thatCredit restructuring has a negative and insignificant effect, NPL has a negative and insignificant effect on CAR, NIM has a positive and not significant effect on CAR, NPL has a negative and significant effect on ROA, NIM has a positive and significant effect on ROA, ROA has a negative and significant effect on CAR, NPL has a direct influence on CAR through ROA, NIM has no effect on CAR through ROA.
The Influence of Career Adaptability and Career Management Perception in Improving Career Success Endriawan Hadi; Edy Raharja
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.150

Abstract

The purpose of this research is to test the influence of competence on career management perception, career adaptability to impact career success. Using these variables, the use of these variables is able to solve the problems arising withinJunior Engineerand Junior Process Engineeroil and gas company in Indonesia Statement of this problem is how to increase career success?. The sample size of this research is 189Junior Engineerand Junior Process Engineeroil and gas company in Indonesia. Using the Smart PLS. The results show that competence in career management perception, career adaptability to impact career success.The effect ofcompetenceon e career success is significant;the effect ofcompetenceon career management perception are significant;the effect ofcompetenceon career adaptability are significant;the effect ofcareer management perception on career success is significant;the effect ofcareer adaptabilityon career success are significant.
The Effect of E-Service Quality and Brand Image on Customer Loyalty with Customer Satisfaction as a Mediation Variable Ilham Firmansyah; Mahfudz Mahfudz
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.151

Abstract

This research takes the object of study on Tiktok Shop, which is an e-commerce platform that has advantages compared to its rivals, namely being able to combine social media activities with e-commerce. This study aims to analyze and test the effect of e-service quality and brand image on customer satisfaction and customer loyalty among TiktokShop users. In this study, the researchers used a purposive sampling method using a manual questionnaire and also a Google form, and obtained 110 respondents who live in Semarang City and have also used the Tiktok Shop feature for shopping. The data analysis method used in this study is structural equation modeling using AMOS software. The results of direct testing between E-Service Quality and E-Customer Satisfaction show that there is a significant and positive effect. The results of direct testing between Brand Image and E-Customer Satisfaction show that there is a significant and positive effect. The results of direct testing between E-Service Quality and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between Brand Image and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between E-Customer Satisfaction and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between Brand Image and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between E-Customer Satisfaction and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between Brand Image and E-Customer Loyalty show that there is a significant and positive effect. The results of direct testing between E-Customer Satisfaction and E-Customer Loyalty show that there is a significant and positive effect
ANALYSIS OF THE INFLUENCE OF LIQUIDITY, NON-PERFORMING LOANS, CAPITAL, AND TOTAL ASSETS OF BANK ON BANK PROFITABILITY BEFORE AND DURING THE COVID-19 PANDEMIC Darwisman Darwisman; Wisnu Mawardi
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Article In Press: Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.152

Abstract

The spread of the corona virus has had a negative impact on commercial banks in the form of reduced profitability, increased credit risk, and inefficiencies. Amid these conditions, Regional Development Banks (BPD) tend to show better profitability performance compared to private banks and commercial banks as a whole. This study aims to investigate the factors that affect BPD profitability during normal times and during the Covid-19 pandemic crisis. This study used the panel data regression analysis method of the fixed-effects model and as a support for the two sample t-test analysis. The results showed that the profitability performance of BPD as measured by the ROA variable was negatively affected by the NPL and total assets variables and positively by liquidity with the LDR proxy in normal times. The Covid-19 pandemic in general has had an impact on BPD profitability. Furthermore, the NPL and NIM variables still significantly affect the BPD ROA ratio during the Covid-19 pandemic crisis. Liquidity tends not to have a significant effect on BPD profitability during the Covid-19 pandemic and capital with a CAR proxy does not have a significant effect on BPD profitability both during normal times and during the Covid-19 pandemic
The Effect of Asset Procurement Planning, Regulation, Asset Inventory, Information Systems and Human Resources Competence on Fixed Assets Optimization Naomi Naomi; P. Basuki Hadiprajitno
Journal of Business Social and Technology Vol. 4 No. 2 (2023): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.153

Abstract

This study examines the influence of asset procurement planning, regulations, asset inventory, information systems and human resource competence on the optimization of fixed assets (studies on asset administration at the Financial Services Authority). The research population is the employees of the Financial Services Authority. Determining the number of samples can be done by means of statistical calculations, namely by using the Slovin formula. This formula is used to determine the sample size of a known population, namely 3,134 Financial Services Authority employees. Furthermore, to perform data analysis, multiple linear regression through the use of SPSS software as a tool is used in this study. The results showed that (H1) was accepted with a significance value of 0.000 which is less than 0.050, needs planning and asset valuation had a positive and significant effect on asset optimization. (H2) is accepted with a significance value of 0.024 which is less than 0.050. An important aspect of asset optimization is the regulatory aspect. (H3) is accepted with a significance value of 0.000, which is less than 0.050. Asset inventory and legal audit have a positive and significant impact on the optimization of fixed assets. (H4) is accepted with a significance value of 0.000 which is less than 0.050, the management information system assists the process of managing finances and assets and reduces the risk of fraud from certain individuals. (H5) is accepted with a significance value of 0.003 which is less than 0.050, fixed asset management is weak human resource competence and lack of responsibility from related parties in managing fixed assets. So that competent human resources are needed in asset management
Influence Analysisloan Information on Interest Rate in Peer to Peer Lending Evi Maria; P. Basuki Hadiprajitno
Journal of Business Social and Technology Vol. 5 No. 1 (2024): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.154

Abstract

Technology has developed rapidly and affected every community's life. This condition was also supported by the occurrence of a pandemic in early 2020 which resulted in restrictions on mobility between individuals and other humans to reduce the spread of the virus which resulted in a crisis. One of the technological developments in the financial sector is loan products through the Peer to Peer platform. Namely transactions that use an online platform that functions as an intermediary that connects borrowers and lenders to carry out lending and borrowing transactions without meeting physically. P2P transaction mechanisms that are carried out directly between borrowers and investors provide risk directly to investors for the success of their funding through the P2P platform. Therefore, in conducting a direct analysis of the loans to be financed, investors must have adequate information so that they can make the best analysis for the financing they are doing. This mechanism allows for information asymmetry on the part of borrowers and investors. The level of trust from lenders is an important factor that will influence their decision as investors to provide funds to borrowers. This confidence can be obtained, among other things, by studying the various available information. In addition, there is the phenomenon of an increase in borrowers and lenders in P2P transactions in Indonesia. It is necessary to pay attention to whether this decision affects interest rates for lending through P2P platforms.
Analysis of the Influence of Internal Factors, External Factors and Bank Risk Factors on Rural Banks Performance Setia Ariyanto; P. Basuki Hadiprajitno
Journal of Business Social and Technology Vol. 5 No. 1 (2024): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.155

Abstract

This study aims to prove the influence of bank internal factors, bank external factors and bank risk factors on the performance of Rural Banks (BPR). The research was conducted on BPRs that were categorized as BPRKU 3 with a core capital of at least IDR 50 billion at the end of 2021. The total sample of BPRKU 3 tested was 75 BPRs with a data period of 2016-2021. Data were analyzed using a quantitative approach using the SEM-PLS method through the SmartPLS 3 application. The results showed that internal factors had no effect on financial performance. While external factors have a positive and significant effect on financial performance while risk factors have a negative and significant effect on BPR financial performance.
Factors Influence on Debt Maturity Structure (In Manufacturing Companies Registered on the IDX for the 2019 - 2021 Period) Feryanto Surbakti; P. Basuki Hadiprajitno
Journal of Business Social and Technology Vol. 5 No. 2 (2024): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v4i2.157

Abstract

This study examines the effectProfit Management, Company Size, Asset Maturity, Leverage on Debt Maturity Structure(Manufacturing Companies Registered on the IDX for the 2019 - 2021 period). The research population is pThe population for this research is all publicly listed companies on the IDX for the 2019-2021 period. The samples were taken based on purposive sampling, which means the criteria used are as follows: (a) Manufacturing companies listed on the IDX for 2019-2021, (b) Financial reports are accessible, (c) The required variable data is available.Furthermore, to perform data analysis, multiple linear regression through the use of SPSS software as a tool is used in this study. The research results show that hhypothesis 1 earnings management (DA) has a sig value of 0.027<0.05 and β1 -0.170<0 then H1 is accepted, meaning that earnings management has a negative effect on the structure of debt maturity. Hypothesis 2 firm size (SIZE) has a sig value of 0.000<0.05 and β2 0.018>0, so H2 is accepted, meaning that firm size has a positive influence on the structure of debt maturity. Hypothesis 3: asset maturity (ASMAT) has a sig value of 0.000<0.05 and β3 0.528>0, so H3 is accepted, meaning that asset maturity has a positive influence on the debt maturity structure. Hypothesis 4 leverage (DAR) has a sig value of 0.510> 0.05, so H4 is rejected, meaning that leverage has no effect on the structure of debt maturity.