The objective of this research is for describing the key role of financial (FinTech) regulation to manage the risks, keep-up the balance and stability of FinTech ecosystem from the highest impact of risks’ in this industry. FinTech lending has grown rapidly in recent years in many countries and becomes a promising business model in the future, because it is a disruptive innovation to today's financial and banking markets. The rapid development of FinTech lending due to the use of internet-based mobile application platforms, so that it is easily accessible by anyone and anywhere, it encourages an increase in lending to the customers, however credit risk (although absorbed by lenders or investors, still indirectly affects the platform operators), experienced an increase due to non performing loan or NPL. The increase in NPL is an important concern for FinTech lending industry stakeholders, and if it is not addressed it will disrupt the FinTech ecosystem, let alone cause systemic risk, it will be the toughest disturbance in the stability of the FinTech ecosystem, considering that the risk of FinTech lending has a significant influence on the FinTech ecosystem, so that if the level of risk increases, it affects the FinTech ecosystem, this condition requires the key role of financial (FinTech) regulation that can mitigate risk, because financial (FinTech) regulation has a very strong correlation or relationship, so that it can mitigate the risks faced. Another key role of financial (FinTech) regulation is to strengthen the FinTech ecosystem, with new elements needed by the industry and encourage the industry to develop the concept of ecosystem-based risk management in this industry, because it is believed that this concept can mitigate risk as well. Fundamental risks in the FinTech lending industry include: (i) credit risk, (ii) operational risk and (iii) liquidity risk, meanwhile pandemic risk is a new element that is also being investigated, the results of the study show that pandemic risk has a positive correlation with start-up FinTech companies, this means that a pandemic still allows this industry to develop and grow. Financial (FinTech) regulation as a key role is supported by 2 (two) main rules, namely (i) regulatory and (ii) supervisory and 2 (two) complementary provisions to strengthen regulations related to IT process support, namely big data analytics, automation & robotics and FinTech consumer protection agency. The FinTech ecosystem also needs to be strengthened, with new elements needed to exist, such as credit insurance institutions that stand alone and are separated from traditional financial institution element and FinTech consumer protection agency.
This paper seeks to explore a model of banking service orientation in strategic human resource management and system dynamic perspective, theoretically. As a scientific effort to develop a study of strategic human resource management. So far, the relationship between elements in strategic human resource management perspective as a system is only analyzed linearly. This article is the result of a literature study. An analysis is done narratively, to answer research problems. Research finding in the form of banking service-orientation model in strategic human resource management and system dynamic perspective, that illustrates the interaction between marketing differentiation strategy, commitment-based human resource system, service-oriented role behaviors to achieve banking performance.
The successful implementation of the policy on the use of Government Credit Cards can be seen from the content of the policy and the context of policy implementation. This research is using post positivism approach with qualitative as research method. The results of the study show, based on the content of the policy the preparation of each working unit is still necessary to improve to close the gaps and potential risks that may arise. In terms of aspects of the context of policy implementation, the use of Government Credit Cards into a form of innovation and new breakthroughs that require continuous improvement while taking into account the political and governmental conditions that are in power, and require support from other relevant Ministries / Agencies. Government Credit Card as a modern financial instrument play a role to support the management of state financial liquidity.
Fuel is an essential commodity in both the economy and society. Indonesian fuel demand continues to increase annually, whereas fuel production has decreased. Gasoline accounts for more than 50% of fuel consumption for transportation. A reliable gasoline product demand forecast is required to plan the gasoline supply. The objective of this study is to forecast the demand for total gasoline and its three components, which are gasoline 88, gasoline 90, and gasoline 92. This study compared the Holt-Winters additive model and autoregressive integrated moving average for the time-series data for the 2017-2019 period. Because the Holt-Winters additive model generates more accurate results, it was applied to predict the total demand for gasoline during 2020-2022. The results of the combination of the Holt-Winters model and a neural network to forecast gasoline 92 demand had lower errors than the individual Holt-Winters method. The forecast results show that total gasoline demand is forecasted to increase, but the components indicate a different trend. Gasoline 92 and gasoline 88 decreased, but gasoline 90 increased.
This research aims to examine the influence of financial knowledge, financial attitude, and financial behavior of professional Millennials on the choice of financial investment instruments (especially in deposits, stocks, mutual funds, golds, and bonds). This research uses questionnaires as a research instrument and takes 214 millennials who work in the professional sector as samples. The data is processed by using descriptive statistical analysis and Contingency Analysis to figure out the Chi-Square which will be compared to the Chi-Square Distribution Table. The results of this study indicate that financial knowledge, financial attitude, and behavior significantly influences the investment choice of Millennials.
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