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This Author published in this journals
All Journal Diponegoro Journal of Accounting International Journal of Economics Development Research (IJEDR) Journal of Business, Social and Technology
P. Basuki Hadiprajitno
Jurusan Akuntansi Fakultas Ekonomika dan Bisnis Universitas Diponegoro
Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Influence Analysisloan Information on Interest Rate in Peer to Peer Lending Maria, Evi; Hadiprajitno, P. Basuki
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 Ariyanto, Setia; Hadiprajitno, P. Basuki
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) Surbakti, Feryanto; Hadiprajitno, P. Basuki
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.
Co-Authors Agus, Irma Ariyanto, Setia Butarbutar, Rizki Sakti Kornelius Cahyaningtyas, Arfianty Reka Evi Maria Krisnauli Krisnauli Kusuma, Januaryco Muhammad Faishal Purnayudha, Nisrina Azmi Surbakti, Feryanto Tito Gustiandika