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Determination of Micro-Insurance Premium Price for Fisheries Using Poisson-Exponential Aggregate Distribution Approach Fadhilah, Dila Nur; Syahla, Raynita; Azahra, Astrid Sulistya
Operations Research: International Conference Series Vol. 5 No. 2 (2024): Operations Research International Conference Series (ORICS), June 2024
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v5i2.315

Abstract

Engaging in pond aquaculture is currently an attractive option amid the high demand for fish in the market. Entrepreneurial opportunities in the pond fish farming sector are increasingly open, although the risk of crop failure remains, both due to weather factors and the livestock process. Crop failure can have a significant financial impact on pond aquaculture cultivators. Therefore, it is necessary to have special insurance to protect against financial losses due to risks that can occur, namely Fisheries Micro Insurance. Microinsurance is a type of insurance product that is specifically designed for low-income people, offering simple, accessible, economically priced features and administration, and a fast compensation settlement process. The focus of this research is to calculate premium prices by applying an aggregate risk model approach. The data used is the number of incidents and the amount of losses due to crop failure in shrimp pond cultivation in Pandeglang Regency in the period of January 1, 2019-January 1, 2021. Data on the number of events follows the Poisson distribution, while data on the magnitude of losses follows the Exponential distribution. Furthermore, the Maximum Likelihood Estimation (MLE) method is used to calculate the parameter estimation. The average and variance estimates of the aggregate risk are used to determine the amount of premiums. The result of the premium selection in this study is IDR 42,005,600. The amount of premium reflects the collective premium resulting from the calculation based on the standard deviation principle.
Online Games and Mental Health of Generation Z: A Case Study on Male Adolescents at SMK MAN 5 Tasikmalaya Azahra, Astrid Sulistya; Kalfin, Kalfin; Hidayana, Rizki Apriva
International Journal of Ethno-Sciences and Education Research Vol 4, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i3.712

Abstract

This research investigates the impact of online games on the mental health of Generation Z, with a focus on male adolescents at SMK MAN 5 Tasikmalaya. Quantitative research methods were used to collect data through questionnaires regarding the duration of playing online games and observations of mental health. The results of data analysis show that there is a significant relationship between the duration of playing online games and mental health in male adolescents. It was found that online gaming addiction can result in decreased mental health, including social isolation, decreased academic performance, and emotional disorders. Therefore, efforts need to be made to manage the use of online games wisely to minimize the negative impact on Generation Z's mental health.
Application of Fish Waste Processing for Sustainable Livestock Feed Production A Community Engagement Study in Garut Regency Azahra, Astrid Sulistya; Saputra, Jumadil; Saefullah, Rifki
International Journal of Research in Community Services Vol 5, No 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i4.714

Abstract

This community engagement study aimed to develop an application for processing fish waste into animal feed based in an incubator system in Garut Regency. The program was conducted from May to November 2023 with the primary objective of transferring technology in waste processing and animal feed production to partner groups. Methods included socialization, technical and non-technical training, and direct mentoring in animal feed pellet production. Results showed a significant improvement in the knowledge and skills of the groups in producing fish waste pellets, reducing feed production costs, and enhancing the sustainability of local livestock businesses. Challenges encountered included initial production limitations and consumer trust in new products. With in-depth scientific approaches and sustained support, the program successfully created positive impacts on the environment and community economic welfare.
Model for Determining Earth's Gravitational Acceleration on a Mathematical Pendulum Azahra, Astrid Sulistya; Yuningsih, Siti Hadiaty; Kalfin, Kalfin
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i3.760

Abstract

Gravity is an accelerating property of the earth that causes objects to fall freely. The acceleration of gravity is not the same at every place on the Earth's surface. To measure the Earth's gravity (small g), scientists can use various techniques, such as dropping a mass from a certain height and measuring the time it takes to fall to the ground or using a mathematical pendulum to measure the period of oscillation and use it to calculate the acceleration due to gravity. In this paper, a study of the mathematical pendulum in the measurement of the Earth's gravitational acceleration is conducted, and the measurement experiment is illustrated. Method To measure the length of the pendulum, you must have a ruler, meter stick, or tape measure. At the top end of the string, start the measurement at the point where the string rotates out of place. Then, measure up to the center of the pendulum, which is the object hanging on the string. From the results of this study, it can be concluded that the value of the period of a pendulum is affected by several factors, including the length of the rope used and the angle of initial deviation, while the factors that do not affect the period are the mass and diameter of the pendulum.
Game Theory as a Marketing Optimization Tool: A Case Study on Kelom Geulis Azahra, Astrid Sulistya; Saefullah, Rifki; Wahid, Alim Jaizul
International Journal of Global Operations Research Vol. 5 No. 4 (2024): International Journal of Global Operations Research (IJGOR), November 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i4.340

Abstract

Competition in the market for traditional art products, such as Kelom Geulis, has become increasingly intense along with the growing public interest in aesthetically and culturally valuable items. This competition forces producers to develop effective marketing strategies to maintain their competitiveness. This study adopts a game theory approach to evaluate and formulate optimal marketing strategies between two major producers. The research method involves the use of questionnaires covering three main aspects: improving product quality, setting competitive prices, and enhancing customer service. Data analysis is conducted using a payoff matrix to determine the best strategies that can increase profits or reduce losses for each party.The results show that a saddle point is reached at a value of 4.57, where PT A achieves a profit increase from 4 to 4.57, while PT B reduces its loss from 6 to 4.57. This optimal strategy can be achieved if PT A prioritizes improving product quality and setting competitive prices, while PT B A prioritizes setting competitive prices and service quality enhancement. The implementation of these strategies has proven effective in strengthening the competitiveness of Kelom Geulis in the market. This study is expected to serve as a practical reference for Kelom Geulis producers to continuously adapt their marketing strategies, ensuring their relevance in the market and appealing to consumers
Strengthening Banking Literacy to Optimize Small and Medium Enterprises (SMEs) Business Transactions in Subang Regency Azahra, Astrid Sulistya; Apriva, Rizki; Sandi, Renda
International Journal of Research in Community Services Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i1.797

Abstract

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Basic Concepts of Stock Option Pricing Models Traded in the Capital Market Ibrahim, Riza Andrian; Azahra, Astrid Sulistya; Kalfin; Saputra, Moch Panji Agung
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 4 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i4.141

Abstract

An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices. An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices.
Stock Price Prediction of PT. Pertamina Geothermal Energy Tbk Using Gated Recurrent Unit (GRU) Model Saputra, Renda Sandi; Hasan, Mohammad Tanzil; Azahra, Astrid Sulistya
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 2 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i2.203

Abstract

This study aims to predict the stock price of PT. Pertamina Geothermal Energy Tbk (PGEO.JK) using the Gated Recurrent Unit (GRU) model, a neural network architecture in the Recurrent Neural Network (RNN) category that is known to be effective in handling time series data. The data used is historical stock price data from 2022 to 2024 taken from Yahoo Finance. The GRU method was chosen because of its ability to remember long-term information and overcome the vanishing gradient problem. In the research process, the data was divided into two parts, namely training data and testing data. The GRU model was trained without adjusting hyperparameters to measure its performance by default. Model evaluation was carried out using the Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R²) metrics. The results of the study indicate that the GRU model is able to provide good prediction results with an RMSE value of 0.0271, MAE of 0.0180, MAPE of 22.25%, and an R² value of 0.9112. These values ​​indicate that the GRU model is quite accurate in predicting the price of PGEO.JK shares. These findings indicate that GRU is a potential method in stock prediction analysis, especially in the renewable energy sector.
Bureaucratic Reform and Clean Governance: Efforts Towards Social Justice and Sustainable Economic Growth in Indonesia Ibrahim, Riza Andrian; Sidiq, Fahmi; Azahra, Astrid Sulistya
International Journal of Humanities, Law, and Politics Vol. 1 No. 3 (2023): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v1i3.33

Abstract

The implementation of a clean government free from corrupt behavior is a crucial aspect in ensuring sustainable economic growth and development in Indonesia. This article discusses the urgency of bureaucratic reform as a first step in overcoming various obstacles affecting the effectiveness of government. Institutional structuring, management, and human resources, as well as strengthening accountability are the main focuses of reform efforts. In addition, active community participation, firm law enforcement, transparency, and responsiveness to public needs are also important elements in good governance. Through the implementation of these principles, it is hoped that Indonesia can build a government system that is transparent, accountable, and able to provide quality services to all people.
Legal Protection and Criminal Implications of Mistreatment of Minors: Analysis Based on Child Protection Law Number 35 of 2014 Azahra, Astrid Sulistya; Ulyana, Yaza Azzahara; Riyansyah, Ahmad
International Journal of Humanities, Law, and Politics Vol. 1 No. 3 (2023): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v1i3.35

Abstract

This study discusses the abuse of minors and the legal implications and protections afforded to victims. Child maltreatment is an act of violence involving minors under the age prescribed by law, including physical, emotional, and sexual abuse. The Child Protection Law regulates cases of child abuse and provides a strong legal basis for protecting children's rights. The criminal implications of child maltreatment include various legal consequences imposed on perpetrators, such as imprisonment and fines. The main purpose of these criminal implications is to ensure justice for victims, prevent the repetition of similar crimes, and give an unequivocal message that child maltreatment is unacceptable. Protection of victims of child abuse covers a wide range of aspects, including victims' rights to feel safe, privacy, physical and psychological recovery, uninterrupted education, justice in due process, fair compensation, and effective protection from authorities. Parents also have an important role in providing protection to children who are victims. Cooperation from various parties, including the state, government, community, and family, as well as the implementation of strong laws, are expected to prevent cases of abuse of minors, ensure the protection and recovery of victims, and realize justice.