Rescollacomm (E-Journals)
Not a member yet
727 research outputs found
Sort by
Credibility of EWOM and Consumer Satisfaction on Food/Health Supplement Products during the COVID-19 Pandemic
During the pandemic, many information about the function of various food and health supplement products for prevention/recovery from Covid-19 infection circulated through EWOM (electronic word of mouth), which was believed by consumers, even though not all of them were proven to be true. This study aims to examine the role of perceived EWOM credibility on consumer satisfaction with food/health supplement products during the COVID-19 pandemic. The theoretical framework guiding this research is Source Credibility Theory, which provides a lens to examine how the credibility of EWOM sources affects consumer satisfaction. The participants were 103 people aged 19-25 years who had purchased and consumed food/health supplement products during the COVID-19 pandemic and had read EWOM about information/reviews of the products they consumed. Participants filled out a questionnaire that measured their perceived EWOM credibility and consumer satisfaction. The data were analyzed using multiple linear regression. The results showed that perceived EWOM credibility positively influenced consumer satisfaction. Aspects of perceived EWOM credibility, included argument quality and homophily had a significant influence on consumer satisfaction. The quality of arguments positively contributes to enhancing customer satisfaction, whereas homophily, on the other hand, has a negative impact. Consequently, a heightened perception of EWOM credibility, particularly concerning the quality of argument presented directly correlated with increased participant satisfaction with the food/health supplement products they had consumed. The findings of this study hold practical implications for the promotion of food and health supplements, emphasizing the significance of EWOM credibility. Additionally, the results underscore the importance of fostering information literacy among consumers in this domain. For instance, strategies could include the dissemination of infographics illustrating methods to assess information quality and discern genuine information from hoaxes. On the other hand, relying solely on information based on shared backgrounds does not fully support the attainment of satisfaction in consumption
Application of Mathematical Model in Bioeconomic Analysis of Skipjack Fish in Pelabuhanratu, Sukabumi Regency, Jawa Barat
Presently, sustainability has emerged as a crucial and compelling concern across diverse sectors, evolving into a long-term agenda championed by the United Nations through the implementation of the Sustainable Development Goals (SDGs). Within the SDGs, particularly under point 14 addressing life below water, emphasis is placed on ensuring sustainability in aquatic ecosystems, encompassing the fisheries sector. The concept of Maximum Sustainable Yield (MSY) holds significance in the bioeconomic analysis of fisheries, influencing decision-making processes aimed at preserving sustainability. Regrettably, several studies have identified inaccuracies in the determination of MSY, leading to instances of overfishing in various regions. Conversely, it is imperative to give due attention to Maximum Economic Yield (MEY) to ensure that economic considerations remain integral to decision-making processes. Consequently, a more comprehensive and detailed bioeconomic analysis, incorporating mathematical models, becomes essential. Among these models, the logistic growth rate model and the Gompertz growth rate model stand out as significant contributors.
Strategizing Financial Triumph: Applying Advanced Mathematical Models to Revolutionize Bond Investments in the Modern Financial Industry
The importance of applying advanced mathematical models in bond investing marks a revolutionary step in the modern financial industry, enabling more scalable and adaptive strategies to achieve financial success. The purpose of this talk is to explore and detail the role of advanced mathematical models in changing the bond investment paradigm. The discussion aims to highlight the crucial role of advanced mathematical models in changing the bond investment paradigm, providing a deeper understanding of the optimal potential and risks involved, explaining how this approach can optimize financial outcomes through more detailed analysis. The application of mathematical models involves the use of sophisticated algorithms and statistical analysis to identify optimal investment opportunities. These steps include the use of advanced financial math formulas, such as yield to maturity and duration, to design investment strategies that are adaptive and responsive to bond market dynamics. The application of mathematical models results in a deeper understanding of the bond market, allowing investors to respond quickly to changing market conditions. Thus, the investment strategy formed by this approach can not only improve investment returns, but also reduce the risks that investors may face. The application of advanced mathematical models in bond investing opens the door to smarter and more informed decision-making. By combining data and mathematical analysis, investors can maximize potential investment returns and manage risks more effectively
Prediction of Motor Vehicle Insurance Claims Using ARMA-GARCH and ARIMA-GARCH Models
Motorized vehicles are one of the means of transportation used by Indonesian people. As of 2021, the Central Statistics Agency (BPS) recorded the growth of motorized vehicles in Indonesia reaching 141,992,573 vehicles. Lack of control over the number of motorized vehicles results in losses for various parties, such as accidents, damage and other unwanted losses. The size of insurance claims has the potential to fluctuate, because it is influenced by several factors, such as policy changes, market conditions and economic conditions. This research aims to predict the size of motor vehicle insurance claims using the ARMA-GARCH model which is used to predict the size of vehicle insurance claims by dealing with non-stationarity and heteroscedasticity in time series data. Based on research, the best model obtained is the ARMA(3,3)-GARCH(1,0) model which produces nine significant parameters. Meanwhile, based on the MAPE value, it shows that the ARMA(3,3)-GARCH(1,0) model is quite accurate. The results of this research can be taken into consideration in predicting the size of insurance claims in the future
Calculation of Rice Farming Insurance Premium Price in Magelang City Based on Rainfall Index with Black-Scholes Method
Indonesia is a country with two seasons, the rainy season and the dry season. Unstable rainfall can affect rice production and may cause crop failure. The amount of rice production in Indonesia, one of which is in Magelang City, is quite large, so the losses that may be experienced are quite significant. Therefore, a way to reduce the impact of losses experienced by farmers is needed, one of which is through the rice farming insurance program. The purpose of this study is to determine the premium price of rice farming insurance based on rainfall index based on the exit value and trigger value in each growing season. Insurance using the rainfall index can provide protection to farmers due to too little rainfall or too much rainfall. Too much rainfall can cause damage to rice plants resulting in crop failure. The premium calculation method uses the Black-Scholes principle, while the exit value and trigger value are determined by the Historical Burn Analysis method. The result of this study is to obtain various trigger values and exit values as well as premiums that must be paid by farmers in each normal, high, and low (dry) rainfall condition. This value determines the premium price obtained for normal rainfall which is IDR 735,739.66 to IDR 871,698.64, for high rainfall the premium price obtained is IDR 1,404,184.75 to IDR 1,643,307.75, and for low rainfall (dry season) it is IDR 5,541,806.10 to IDR 6,689,629.88.
An Autoethnographic Journey Into Uncovering Additional Types Of Entrepreneurial Intuition
Although writing on entrepreneurial intuition has grown, researchers maintain that there is still much to explore. Current research has looked at the types of entrepreneurial intuition as well as the nature of cognitive intuitive thinking. The research problem explored is that entrepreneurial intuition should not be limited to the four types proposed. To address the entrepreneur’s cognitive intuitive strategies, it has been suggested that research should focus on what happens inside the mind of the entrepreneur. To pursue this further, we adopted a collaborative autoethnographic approach which consists of the self-study of an entrepreneur and the addition of a researcher to act as a reflective sounding board. Six story boxes tell intuitive stories of entrepreneurship. This research study finds that the cognitive, intuitive thinking strategies pursued by the entrepreneur extend beyond the four basic types suggested and two additional intuitive practices, namely sensorial intuition and intuitive praxis are proposed for this multifaceted concept. Used interchangeably, these intuitive practices are situational allowing the entrepreneur to act intuitively within various contexts. The recommendations are that these findings can be further investigated through quantitative studies.
Spreading Love in Fitra Qaseh Refuge Home Malaysia: A Community Service Activity
Fitra Qaseh Orphanage is a shelter for children who have been abandoned by their parents due to social problems within the family. Fitra Qaseh Orphanage which is known as the Fitra Qaseh Refuge Home is located in Johor Bahru City, Malaysia. Fitra Qaseh currently currently accommodates 53 children ranging from 1 month to 17 years old. The problem that faced by Fitra Qaseh is the development of facilities for the residents\u27 outdoor play and activities. Fitra Qaseh outdoor activities, providing motivation for residents of Fitra Qaseh shelter homes in the form of in the form of education, religious knowledge, protection and affection, Providing assistance to fulfil the daily needs of residents both food and fulfil the daily needs of residents both food and clothing for daily needs residents of the Fitra Qaseh protection house. For this reason, Ibrahim Sultan Polytechnic (PIS) and Politeknik Negeri Padang (PNP) collaborate in the context of international community service International. The aim of this collaborative community Service activity is to address issues that arise at the orphanage. The community service is implemented using the applicative method, which directly solves the problems that exist in partners. The step of activity is survey, collecting data, plan resolve the problem and action. The result of this program are The results of this activity are that the facilities and infrastructure of the orphanage have been repaired, assistance has been provided and children have been motivated to keep learning to reach their goals.
Analysis of the Influence of Financial Literacy on Investment Decisions Mediated by Financial Behavior: A Study on Students of the Faculty of Economics and Business, Jenderal Achmad Yani University
Investment is the activity of saving current funds to obtain future profits with the aim of getting value for money that can compete with the prevailing inflation rate. Lack of understanding or knowledge regarding how to invest, high risks and very limited income have resulted in the reluctance of Indonesian people to invest. The aim of this research is to obtain empirical evidence regarding the influence of financial literacy on investment decisions mediated by financial behavior among students at the Faculty of Economics and Business, Jenderal Achmad Yani University. The variables in this research are (1) financial literacy, (2) financial behavior, and (3) investment decisions. The research method used is descriptive verification and the approach used is quantitative. The population of this research is active students majoring in management and accounting at Jenderal Achmad Yani University. The sampling technique used was purposive sampling. The data collection technique is carried out by distributing online questionnaires (g-form). The data analysis techniques used in this research are simple linear regression analysis, multiple linear regression analysis, and the Sobel test. The research results show that financial literacy has a positive and significant influence on investment decisions, financial literacy has no influence on financial behavior, financial behavior has no influence on investment decisions, and financial behavior does not mediate the influence of financial literacy on investment decision
Analysis of Pre-Test and Post-Test Results of Motor Skills through the Implementation of Small Games in Physical Education, Sports, and Health (PESH) Learning in Elementary Schools
This research aims to evaluate the impact of implementing small games in Physical Education, Sports, and Health (PESH) learning on the improvement of motor skills among elementary school students. The research method employed is a pure experiment with a quantitative approach. Data was collected from 17 students through motor ability tests, including the Shuttle Run, throw and catch ball, and Stork Stand Positional Balance tests. Pre-test and post-test results were analyzed to obtain average scores, standard deviations, and variances. The research findings indicate an enhancement in students\u27 motor skills following the implementation of small games in PESH learning. In the Shuttle Run test, there was an increase in the average score from the pre-test (19.2141) to the post-test (18.7294). The throw and catch ball test also exhibited an improvement in the average score from the pre-test (16.4118) to the post-test (19.6471). In the Stork Stand Positional Balance test, an increase in motor skills was also observed, with the average score shifting from the pre-test (11.3618) to the post-test (7.9676). Furthermore, statistical analysis also indicates a decrease in the standard deviations and variances in the post-test results compared to the pre-test, indicating an enhancement in measurement consistency. This improvement reaches approximately 13.73% in the enhancement of students\u27 motor skills. The results of this research offer positive implications for the effectiveness of using small games to enhance students\u27 motor skills within PESH learning. This underscores the significance of creative and playful approaches in optimizing the learning process to achieve holistic physical education objectives
Development of Hydroponic Application based on Web and Internet of Things for The Community to Monitor pH and Total Dissolved Solids
Construction of the Mortality Table with Gompertz\u27s Law Using the 2019 TMI Referenc