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Penggunaan Fuzzy Logic & Metode Mamdani untuk Menghitung Pembelian, Penjualan dan Persediaan Maria Yus Trinity Irsan; Matius Irsan Kasau; Ika Pratiwi Simbolon
JAAF (Journal of Applied Accounting and Finance) Vol 3, No 1 (2019): JAAF (Journal of Applied Accounting and Finance)
Publisher : President University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.46 KB) | DOI: 10.33021/jaaf.v3i1.677

Abstract

Fuzzy Logic is a development of Binary Logic that can be used to analyze data in research in both the exact and social fields. In this study, fuzzy logic is used to analyze data in a "Ayam Goreng Murah Rezeki" restaurant related to three linguistic attributes, each of which consists of two linguistic variables: Inventory (Little, Many), Sales (Down, Up), and Purchases (Reduced, Increased) using the Mamdani method. The purpose of the study is to provide an input value of Inventory and Sales to get a Purchase output value. The results of data analysis using a linear down graph and a linear upward graph on each linguistic variable with the Mamdani method yield results in the estimated area or range.
Sosialisasi Peranan Profesi Aktuaris pada Industri Asuransi dan Asuransi untuk Kehidupan kepada Masyarakat Cikarang Maria Yus Trinity Irsan; Lina Rosmawati; Fauziah Nur Fahirah Sudding
ACADEMICS IN ACTION Journal of Community Empowerment Vol 1, No 2 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/aia.v1i2.852

Abstract

Actuarial science study program is a new study program in Indonesia. Recently many universities in Indonesia have opened the study program. Currently, Indonesia needs more actuary, this is one of the reasons for the existence of the actuarial science study program in Indonesia. However, many Indonesians do not know about the actuary and actuarial science field. Besides that, most Indonesians have not realized the importance of insurance for our life. The socialization about actuary and insurance is one of the ways to introduce actuary and increase the insurance awareness to the people in Indonesia, especially in Cikarang. This event went by distributing pamphlet and giving a short explanation to the respondent about actuary, insurance, and the relationship between them.
Boosting Women Academics’ Professional Development during the Global Pandemic: Problems and Solutions Risa Fitria; Ani Pujiastuti; Grace Amialia Neolaka; Maria Yus Trinity Irsan
Publikasi Pendidikan Vol 11, No 3 (2021)
Publisher : Prodi PGSD FIP UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/publikan.v11i3.20349

Abstract

ABSTRACTThe activity aims to understand women academics practices to develop their professional career during the Covid-19. Female lecturers from different areas in Indonesia were invited to join the forum group discussion virtually held through a webinar on August 31, 2020. The activity began with a session delivered by a keynote speaker regarding the issues and challenges that female academics dealt with in higher education, particularly amidst Covid-19. The speaker elaborated several factors such as social and organizational cultures that have influenced women’s professional development when working remotely. The webinar received positive reception and feedback from the participants. It was concluded that even though the issues cannot be immediately addressed, positive encouragement and support from women to women are highly recommended. Keywords: Female Academics; Professional Development; Pandemic.
PLAGIARISM AND ITS IMPACTS ON TEACHING PRACTICES: INSIGHTS FROM THE INDONESIAN LECTURERS Risa Fitria; Disa Evawani Lestari; Ani Pujiastuti; Grace Amialia Anfetonanda; Maria Yus Trinity Irsan
International Conference on Education, Science, Technology and Health (ICONESTH) 2023: ICONESTH
Publisher : International Conference on Education, Science, Technology and Health (ICONESTH)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/iconesth.vi.267

Abstract

This paper discusses the EFL lecturers’ views on plagiarism following their exposure to two distinct educational environments, their home university and Western universities. While existing literature has examined lecturers' views on plagiarism, there is a scarcity of research specifically investigating the perceptions of Western graduate lecturers and the influence of these perspectives on their pedagogical approaches. The present study aimed to address two research inquiries: 1) How did Indonesian EFL lecturers' opinions on plagiarism evolve between two academic communities over time? 2) What were the impact of the participants’ shifting views on their existing educational practice? The research employed semi-structured interviews as the primary method for data collection. Data were collected through interviews with a sample of nine EFL lecturers affiliated with a state academic institution in Indonesia. The findings indicated that the lecturers' views on plagiarism have undergone a shift due to their experiences studying abroad. This study suggests that the participants’ views has been shaped not only by the Western culture, but also by their own cultural backgrounds, such as religious beliefs. In terms of pedagogical practice, educators have transferred their understanding of plagiarism to their students by implementing their preferred pedagogical practice as well as consequences of plagiarism. This study highlights the need for Indonesian educators and policymakers to adapt Western perspectives on plagiarism to the Indonesian context. The adoption of Western perspectives may not align with the current academic context, highlighting the need for reform in pedagogical practice and cultural awareness. Policymakers should reassess the current approach to plagiarism prevention and consider adaptation within the Indonesian context.
Analyzing The Effect of Financial Ratio on Financial Distress Using The Logistic Regression Method in Manufacturing Companies Putri, Windi Marnizal; Irsan, Maria Yus Trinity
Journal of Actuarial, Finance, and Risk Management Vol 3, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jafrm.v3i2.5566

Abstract

Financial distress is a company that has difficulty paying its obligations, so it cannot carry out business as usual and may experience bankruptcy. This study aims to analyse the factors that influence the possibility of financial distress by considering financial ratios as indicators to predict the occurrence of financial distress in manufacturing companies in Indonesia. Four independent variables which are financial ratios include Current Ratio, Debt Ratio, Return on Assets (ROA), and Working Capital Turnover. In comparison, the dependent variable is financial distress. This study uses the Altman Z-score model and the data analysis method used is logistic regression analysis. Where logistic regression is one of the statistical analysis methods used to represent the relationship between independent variables and dependent variables containing nominal and ordinal data. The population used in this study includes manufacturing companies listed on the Indonesia Stock Exchange (IDX) in the 2015-2019 period. The sample was determined by the purposing sampling technique. The results showed that not all financial ratios can have a significant effect on the occurrence of Financial Distress. In the results that have been analysed, it is found that Current Ratio does not have a significant positive effect on Financial Distress, Debt Ratio does not have a significant effect on Financial Distress, Return on Assets (ROA) has a significant positive effect on Financial Distress, and the last financial ratio Working Capital Turnover has a significant negative effect on Financial Distress.
Simulating Bitcoin price movements with the Bates model and Monte Carlo methods Staenly, Staenly; Irsan, Maria Yus Trinity
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i1.12815

Abstract

This study investigates the price dynamics of Bitcoin, a highly volatile and speculative digital asset. Using daily closing price data from January 2023 to January 2024, we apply the Bates model, which combines stochastic volatility with jump-diffusion processes, to better capture both continuous fluctuations and sudden, large price changes in the market. The model parameters are calibrated using historical data and evaluated through Monte Carlo simulation with 10,000 generated price paths over a 31-day forecast horizon. The results demonstrate a strong short-term predictive performance, with a Mean Absolute Percentage Error (MAPE) of 4.32%. This indicates that the Bates model can capture both volatility clustering and abrupt shifts, which are characteristic of Bitcoin. The findings suggest that this approach provides a valuable tool for risk management and investment decision-making in highly uncertain and dynamic markets.
Pricing Asian Options on BBCA Stocks: A Binomial and Black-Scholes Approach Antoro, Srava Chrisdes; Irsan, Maria Yus Trinity
Journal of Actuarial, Finance, and Risk Management Vol 4, No 1 (2025)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jafrm.v4i1.6241

Abstract

This paper aims to evaluate the pricing of Asian options using two widely recognized methods: the Binomial Option Pricing Model and the Black-Scholes Model. Asian options are a form of exotic options where the payoff depends on the average price of the underlying asset over a specified period, reducing the impact of market volatility compared to standard European or American options. The research focuses on BBCA (Bank Central Asia) stock data over a two-month period from September to November 2024. The study uses the arithmetic average for the binomial model and the geometric average for the Black-Scholes model. Essential financial parameters such as risk-free interest rate, volatility, and strike prices are determined based on real market data and standard assumptions. The binomial model offers a numerical approach through discrete time intervals, while the Black-Scholes model provides a closed-form analytical solution. Results show that the call option prices from the binomial and Black-Scholes models are 1,228.79 and 1,272.02 respectively, with a Mean Absolute Percentage Error (MAPE) of 3.52%. For the put options, the binomial and Black-Scholes prices are 1,754.46 and 1,711.21, respectively, with a MAPE of 2.46%. These low error rates suggest that both models can accurately estimate Asian option values. The study concludes that both the binomial and Black-Scholes models are effective tools for pricing Asian options on BBCA stock, offering comparable results with minimal deviation. This finding supports the use of these models in financial decision-making for exotic options in the Indonesian market