Rescollacomm (E-Journals)
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Analysis of Multistability of Financial Risk Chaos Systems and Its Application to Voice Cryptography
Get PDFIn the chaos literature, the application of modeling and control of dynamic systems in chaos theory arising in several fields is investigated. In this article we analyze complex financial chaos systems with countries as interest rates, investment demand, and price indices. The proposed chaotic flow\u27s dynamic behavior is examined using phase portraits, eigenvalues, bifurcation diagrams, and Lyapunov exponent spectra. A significant quantity of research on secure communication systems has been published in recent years as a result of the major advancements in communications equipment and encryption techniques. A new voice encryption algorithm design is given using a financial chaos model. An application for voice encryption is conducted using the suggested algorithm, and the outcomes are described
Study of the Influence of Online Games on Adolescent Psychology in Parungponteng District: Analysis of Intensity of Use, Type of Game, and Psychological Impact
Get PDFThis research aims to examine the influence of online games on adolescent psychology in Parungponteng District. By collecting data from 30 respondents through questionnaires, this research analyzed the intensity of game use, the types of games played, and the psychological impact of online game addiction on teenagers. The research results show that teenagers tend to spend an average of 15 hours per week playing online games, with the majority choosing Role-Playing Games (RPG) and Multiplayer Online Battle Arena (MOBA) games. The psychological impacts of online gaming addiction include a lack of interest in other activities and feelings of anxiety when unable to play. The implications of this research include educational awareness of game use, development of educational games, the active role of parents and educators, as well as the development of time management skills
Ing Ngarsa Sung Tuladha: Empowerment In MSMEs in Bantul Indonesia and Community Learning Center in Malaysia
Get PDFThis research aims to explain of applying Ing Ngarsa Sung Tuladha from Ki Hajar Dewantara’s Trilogy to the leadership of pottery & ceramics crafts SMEs “Dwiyanto Ceramic”, Azka Furniture Bantul SMEs, Rama Putra Motor Bantul SMEs and Community Learning Center (CLC) Ladang Lumadan. This community service method uses direct and remote observation with interview techniques trough the Zoom application. The concept used is the concept of Ing Ngarsa Sung Tuladha to help problems and solusions in leadership to achieve common goals. By conducting socialization and training offline and online. The results of the observation can implement the leadership attitude of Ing Ngarsa Sung Tuladha in pottery & ceramic craft SMEs “Dwiyanto Ceramic”, Azka Furniture Bantul SMEs, Rama Putra Motor Bantul SMEs, and Community Learning Center (CLC) Ladang Lumadan. With this collaboration, it was seen that ineffective leadership methods resulted in solutions with Ing Ngasra Sung Tuladh
The Five-Pillar Methodology: A Crucial Approach for a Successful Community Service Project
Get PDFThe five-pillar methodology has been applied in the community service project Gonçalinho in Brazil. This paper provides an extension and guidelines on how to apply our methodology as a foundation for a successful general community service project. Further advice regarding step-by-step approach will be provided. Behind the five-pillar methodology, a central point related to education as a foundation and lessons learned for life will be pointed out. Important aspects regarding challenges, strategies and future trends will be addressed. Finally, additional examples based on a real community service project will be highlighted
The Effect of Asset Structure and Dividend Policy on the Capital Structure of Infrastructure Subsector Companies Listed on the Indonesia Stock Exchange 2016-2020 Period
Get PDFThe purpose of this study was to determine the effect of Asset Structure and Dividend Policy on the Capital Structure ofInfrastructures Sub-sector Companies listed on the Indonesia Stock Exchange for the 2016-2020 period. The research indicatorsused are Fixed Assets Ratio, Dividend Payout Ratio and Debt to Equity Ratio. The approach used in this research is a quantitativeapproach. The population in this study were 175 financial statements from 35 infrastructures sub-sector companies listed on theIndonesia Stock Exchange and the sample used in this study were 35 financial statements from 7 companies. The data used issecondary data, namely data obtained directly in the form of financial reports from the website of each company and thewww.idx.co.id website. The data analysis technique was carried out using statistical analysis, namely classical assumption test,multiple linear regression coefficient, multiple correlation coefficient, coefficient of determination and hypothesis testing usingSPSS version 25 program. The results showed that partially Asset Structure had no significant effect on The Capital Structure ofthe infrastructures subsector companies listed on the Indonesia Stock Exchange for the 2016-2020 period, while the DividendPolicy has no significant effect on the capital structure of the infrastructures subsector companies listed on the Indonesia StockExchange for the 2016-2020 period. Simultaneously, the Asset Structure and Dividend Policy have a significant influence on thecapital structure of the infrastructures sub-sector companies listed on the Indonesia Stock Exchange for the 2016-2020 period
Determination of Mount Eruption Insurance Premiums in Indonesia Based on Collective Risk and Level of Risk Spread
Get PDFVolcano eruption insurance is an insurance product that provides financial protection to policy holders who experience losses due to volcanic eruptions. This insurance product is still rarely developed in Indonesia, even though this country is very vulnerable to natural disasters. Therefore, this research aims to carry out a simulation of determining volcanic eruption disaster insurance premiums based on collective risk and the level of risk distribution. The data used in this research is the frequency of events and economic losses due to volcanic eruptions. Event frequency and loss data are analyzed using a collective risk model. Apart from that, determining insurance premiums also takes into account loading factors and the level of risk distribution from volcanic eruption disaster data. From the results of the analysis, it was found that natural disaster insurance premiums had increased, along with an increase in the loading factor provided. In addition, insurance premium expenses are influenced by the collective risks faced by customers. The greater the collective risk faced, the greater the insurance premium that customers must bear. Based on the results of the estimates carried out, it is hoped that this research can provide an overview to the Indonesian government in estimating the Mount Meletus insurance scheme. Meanwhile, insurance companies can get an idea of determining insurance premiums according to conditions in the field
Determination of Optimal Stock Portfolio Return by Single Index Model (Case Study on Banking Sector Stocks in Indonesia)
Get PDFThe optimal portfolio is a portfolio chosen by investors from the many options available in the collection of efficient portfolios. To get the optimal proportion, which is the maximum return and minimum risk, it is necessary to analyze the stocks to be selected in the investment model. The research objective is to determine the optimal return, risk, and proportion for each banking stock portfolio in Indonesia in the period February - July 2023. The method used is the Single Index Model. The process of determining the optimal proportion of stocks with the Single Index Model requires stock and market return data as the main basis for applying this method. This study involves the formation of an optimal portfolio of daily closing prices of 46 banking stocks. As a result of this research, there are 5 optimal stocks that meet the criteria for optimal portfolio formation with each fund proportion of 21.43% (BNII), 13.52% (BDMN), 35.02% (BBRI), 23.69% (BTPN), and 6.34% (BBCA). Expected return from optimal stocks is 0.152% and the risk that will be borne by investors is 0.0011% per day
Effects of Inventory Management on Service Delivery in Public Sector: A Case of Office of Registrar of Political Parties
Get PDFThis study was intended to assess the effect of inventory management on services delivery in public sector: A case in Office of Registrar of Political Parties. The specific objective was to investigate the influence of inventory management on service delivery in public sector. The study employed a cross-section research design and a sample of 44 respondents was selected using a simple randomly sampling technique. Data collection methods included questionnaire and interview. Data were analyzed using descriptive statistics and correlation analysis. The study finding shows that there is a positive relationship between the inventory management and service delivery. The study concludes that inventory management was important factors in inventory management that influence service delivery in Office of Registrar of Political Parties. Therefore, the study recommends that, to improve inventory management on service delivery, the study recommends that, the Office of Registrar of Political Parties could ensure technology adoption regulatory environment, and physical infrastructure and facilities. Also, further research in the academic study of the effect of inventory management on service delivery in the public sector could explore several areas to deepen understanding and address gaps in existing knowledge. Some potential areas for further research can investigate the impact of emerging technologies such as Internet of Things (IoT), artificial intelligence (AI), and blockchain on inventory management practices and service delivery in the public sector
Examining Technical efficiency of Wood-Based Industries in Ethiopia
Get PDFTechnical efficiency is crucial for the advancement and growth of contemporary enterprises and is a major area of policy concern in many countries. Numerous pieces of evidence suggest that Ethiopia\u27s industries, particularly those depend on wood were not operating as efficient as they should be. As a result, the country is not benefiting as much from the sector as it ought to, and it is now compelled to import wooden products at a higher cost in foreign exchange. Therefore, to examine the technical efficiency of the industries; four purposively selected main cities such as Addis Ababa, Hawassa, Jima and Bahir Dar were selected. From these cities, information was collected, analyzed, and the results were obtained. The result shows that the technical efficiency of Ethiopia\u27s wood industries is lower than expected. Out of a total of 170, about 149 (87.6 %) of the furniture workshops are technically inefficient. This is because workers working in the wood industries are less educated. In addition to this lack of on-the-job training, lack of modern machineries and insufficient skills to use them properly, inconvenient production and sales area, shortage and quality of raw materials, insufficient capital, lack of market connection, have been shown to be the reasons. Therefore, to improve the technical efficiency of the industries, it is better to have continuous vocational training, loan support so that they can get and use better machines, as well as convenient manufacturing, product display and sales, improving and facilitating market linkages
Enhancing Risk Management Strategies: GAM Analysis of Health Insurance Claim Determinants
Get PDFHealth insurance plays a crucial role in providing financial protection and ensuring access to necessary healthcare services. The awareness of Indonesian society regarding the importance of health insurance continues to grow, as evidenced by a 22% increase in premium income according to AAJI data as of March 2023. Despite the benefits of health insurance, an increasing number of insurance participants raises risks for insurance companies. The Generalized Additive Models (GAM) P-Spline can overcome these problems. The non-linear relationship between claim amount with age, body mass index, and blood pressure can be modelled with GAM P-Spline. The formed GAM model with PIRLS unable to give a clear information of relationship between variables explicitly, but can be seen by the shape of the function of each predictor associated with the link function used