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All Journal Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Journal of Business, Social and Technology
P. Basuki Hadiprajitno
Diponegoro University
Arts Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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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
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.
RISK MANAGEMENT ANALYSIS IN RURAL BANKS (BPR) MERGER (CASE STUDY: 6 BPRs THAT ARE IN THE PROCESS OF MERGING INTO ONE IN MALANG RAYA) Nilam Yunida; P. Basuki Hadiprajitno
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, dan Pendidikan Vol. 2 No. 8 (2023): July
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v2i8.1224

Abstract

This case study research aims to determine the risks that will increase during the BPR merger process based on the risk rating. The research was conducted on 6 (six) BPRs in the Greater Malang area which were in the process of being merged on December 31, 2022. This research was conducted in 4 (four) stages, which included assessing and determining the risk rating of 6 (six) BPRs individually, financial consolidation, assessing and determining the estimated risk rating of BPRs after the merger and the last was preparing recommendations for downgrading risk and risk mitigation. The results of this study indicate thatPost-merger credit risk and operational risk ratings of BPRs are projected to increase. This was mainly due to the low quality of productive assets originating from the six BPRs individually prior to the merger, inadequate BPR IT systems and an unstructured BPR office network that was deemed inefficient.
Co-Authors Feryanto Surbakti Naomi Naomi Nilam Yunida