Indonesian Journal of Contemporary Multidisciplinary Research

Foreign Exchange Risk Management Strategies Through Financial Engineering: An Analysis of Forex Exposure, Transaction Exposure, Economic Exposure, and Translation Exposure

2024-12-04T05:04:35+00:00

This study aims to develop foreign exchange risk management strategies through financial engineering, focusing on Forex Exposure, Transaction Exposure, Economic Exposure, and Translation Exposure. Using a quantitative approach and historical data analysis, it examines the impact of exchange rate fluctuations on corporate financial performance. A case study on an international trading company identifies risk mitigation strategies, such as the use of financial derivatives. The findings indicate that effective risk management strategies can reduce profit volatility by up to 15%. This research presents a comprehensive model for foreign exchange risk management, contributing to financial literature and business practices.

Cash Holding and Company Performance in the Media & Entertainment Industry in Indonesia: Trends and Impacts Before and After COVID-19

2025-01-21T04:32:09+00:00

This study aims to analyze the financial performance and cash holding of media and entertainment (M&E) companies in Indonesia over the past ten years (2014-2023), with a focus on the trends and impacts of the COVID-19 pandemic. The main variables analyzed include cash holding, revenue, operating profit, and total assets. We use descriptive analysis to identify trends, and Wilcoxon Test by R Studio to test hypothesis. The results show that the M&E industry in Indonesia has experienced significant dynamics in terms of liquidity, assets, revenue, and operating income over the past decade, especially in the face of the challenges of the COVID-19 pandemic. In addition, we found significant changes in firms' cash holding during the pandemic, with an increase in average cash holding after COVID-19. This is a risk mitigation strategy and a precautionary step for M&E companies in the face of post-pandemic uncertainty. It provides important insights for financial managers and policymakers in understanding the patterns of financial performance and liquidity management in the M&E industry, especially in the face of crisis situations.

Forecasting Indonesia's Gross Domestic Product Using Extreme Learning Machine and Double Exponential Smoothing

2025-01-03T08:25:28+00:00

Gross Domestic Product (GDP) is one of the main indicators used to measure the economic condition of a country. Stable economic growth is crucial for achieving societal well-being; however, there are various factors that influence GDP fluctuations. Internal factors, such as ineffective fiscal and monetary policies, as well as external factors like changes in global economic conditions and geopolitical instability, can lead to instability in GDP growth. To improve GDP stability, appropriate fiscal and monetary policies, infrastructure investments, productivity enhancement, and the promotion of industry and the creative economy are necessary. This study employs two forecasting methods, namely Extreme Learning Machine (ELM) and Double Exponential Smoothing (DES), to analyze and predict economic growth based on historical GDP data. The results show that both methods can be used effectively to predict GDP growth, with ELM demonstrating superior ability in producing more accurate forecasts. By applying the right methods, it is expected that stable GDP growth can be achieved, leading to improved societal well-being and advancing the nation's progress.

Analysis of the Development of Peer-to-Peer Lending in Indonesia and Its Impact on Financial Inclusion: A Literature Review

2024-12-28T05:54:31+00:00

Advancements in technology have spurred the emergence of digital financial services innovations (fintech) such as peer-to-peer lending, which is rapidly growing in Indonesia, offering easily accessible financing alternatives. The purpose of this article is to analyze the development of peer-to-peer lending in Indonesia and its impact on financial inclusion in society. This research was conducted using a qualitative approach based on literature study. The findings show that peer-to-peer lending plays a role in increasing the reach of financial services for communities that have not yet accessed traditional banks, while also promoting inclusive economic growth. Although it has a significant positive impact, there are challenges or obstacles faced, such as bad loans, data breach threats, and frequently changing regulations. This research provides insights into the importance of regulatory support and financial education to maximize the benefits of peer-to-peer lending in enhancing financial inclusion in Indonesia.

The Effect of Brand Ambassador and Price on Purchase Intention in Tokopedia Through Trust as a Moderation Variable

2024-12-25T06:44:43+00:00

This study aims to see and determine the influence of Brand ambassador and Price on Purchase Intention on Tokopedia through Trust as a moderation variable. The research method used is a quantitative approach with a type of descriptive research. The sample used in this study was 100 students from the Faculty of Economics, Makassar State University. In this study, the researcher used data analysis of the Partial Least Square Structural Equation Modelling (PLS-SEM) model. The results of this study show that there is a positive and significant influence between all variables, namely, Brand ambassador (X1), Price (X2), on Purchase Intention (Y) and successfully moderated positively by the Confidence variable (Z) through SEM.

The Availability of Lower Level Implementers in the Implementation of the Free Nutritious Meals Program on Primary School in Klaten Regency

2025-01-23T07:26:57+00:00

This study aims to analyze the preparedness availability of lower level implementers in executing the Free Nutritious Meals Program in primary schools in Klaten Regency. Although the program has not been officially delivered from government, strong indications suggest its likely implementation farther. The main focus of this research is to identify factors influencing implementers' readiness, challenges encountered, and the support needed to ensure the program's effective execution. A qualitative research approach was employed, utilizing data collection techniques such as interviews, simulation observations, and document analysis. The findings indicate that the level of preparedness availability among lower-level implementers remains deficient. This deficiency is influenced by several key factors, including the absence of local government support through socialization, inadequate resource availability, the implementers' capacity and competence, and community participation. Despite the program's planned nature, potential obstacles were identified, including limited facilities, unequal distribution of food supplies, and insufficient technical training for implementers. Furthermore, enhancing community participation is imperative to optimize the quality and sustainability of the program in select schools.

The Spatial Lag X Method Using Three Types of Distance Weighting in Food Security Data Analysis in Central Sulawesi

2025-01-03T08:32:11+00:00

Food security is a critical global issue due to rapid population growth and the increasing impacts of climate change. This study aims to analyze food security and identify spatial patterns among regions in Central Sulawesi in 2022. A Spatial Lag X method was applied, enhanced with three distance weighting techniques: Inverse Distance Weighting (IDW), Exponential Distance Decay (EXP), and Double Power Distance (DPD). These were used to assess the spatial influence on food security data, sourced from the Central Sulawesi Statistics Bureau. The Spatial Lag X approach integrates neighboring regions’ variables to explain the dependent variable. The findings reveal that with IDW and EXP weights at a 10% significance level, no variables significantly influenced the Food Security Index. However, using DPD weights, Gross Regional Domestic Product (GRDP) per capita at current prices (X4) significantly influenced the Food Security Index at a 10% level. The DPD-weighted Spatial Lag X model was identified as the best model for analyzing food security in Central Sulawesi in 2022, achieving an AIC value of 23.91885 and an R² of 0.9977. This study highlights the importance of spatial factors in understanding regional food security dynamics.

The Accountant Position in the Context of State Governance in Indonesia

2025-01-02T04:32:01+00:00

This study examines the strategic position of accountants within the context of state governance in Indonesia, particularly in supporting transparency, accountability, and good governance. Accountants in the public sector play a crucial role in managing state finances, including planning, recording, reporting, and overseeing financial activities in accordance with good governance principles. A juridical-normative approach is used to analyze relevant regulations, ranging from laws to regional accounting policies. The findings indicate that accountants make a significant contribution to fostering transparent governance, although challenges remain, such as policy harmonization and professional capacity building. This study recommends strengthening regulations, enhancing policy synergy, and improving professional accounting education to support sustainable bureaucratic reform.

Analysis of Work Environment, Compensation, Training, and Work Discipline on Employee Loyalty Mediated by Job Performance at Badan Pusat Statistik Lamongan Using Partial Least Square (PLS)-Structural Equation Modeling (SEM)

2024-12-28T05:43:11+00:00

This research aims to determine the influence of the Work Environment, Compensation, Training and Work Discipline on Employee Loyalty mediated by Work Performance at the Lamongan Central Statistics Agency. This research uses descriptive quantitative research. Data collection for this thesis was taken through a questionnaire. The respondents in this research were employees and partners of the Lamongan Central Statistics Agency in November and December 2024. The research results state that the influence of employee loyalty has a positive and significant effect on employee loyalty. Compensation has a negative and insignificant effect on employee loyalty. Training has a positive but not significant effect on employee loyalty. Work discipline has a positive and significant effect on employee loyalty. The work environment has a positive but not significant effect on work performance. Compensation has a positive and significant effect on work performance. Training has no positive and insignificant effect on work performance. Work discipline has a positive and significant effect on work performance. Employee loyalty has a positive and significant effect on work performance. Work performance is able to mediate between the independent variable and the dependent variable.