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All Journal Unisda Journal of Mathematics and Computer Science (UJMC) Square : Journal of Mathematics and Mathematics Education Journal of Evidence - Based Nursing and Public Health
Saputro, Isnu Aji
Universitas Jenderal Soedirman
Computer Science & IT Education Mathematics Nursing Public Health

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Prediksi Harga Saham Syariah dengan Triple Exponential Smoothing Multiplicative Sofiyati, Noor; Saputro, Isnu Aji; Puspita, Dian
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 2 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.2.23602

Abstract

The prediction of sharia stock prices is currently an important concern for investors who want to invest according to Islamic principles. Investors generally invest to achieve profits, which are measured by the magnitude of returns or the rate of return on those sharia-compliant stocks. However, there is also a risk of loss if the investor makes the wrong decision. Often, investors simply guess whether the stock price will go up or down. In sharia stock analysis, accurate forecasting techniques are needed to help investors minimize risk and maximize potential returns. This research aims to predict the stock price of Bank Syariah Indonesia (BRIS. JK), which is one of the sharia stocks highly sought after by stock investors. The prediction for the next year is conducted using the multiplicative triple exponential smoothing method as a guide for investors in decision-making. This method was chosen because of its ability to capture seasonal patterns and trends based on historical stock data.  The forecasting results show that the price of BRIS.JK shares will continue to rise over the next year. This provides valuable information for investors to consider investing in that stock. Keywords: predictions, sharia shares, triple exponential smoothing.
Stability analysis of Monkeypox virus transmission dynamics using the SEIVR approach Setyowisnu, Glagah Eskacakra; Saputro, Isnu Aji; Fikri, Mohamad Izudin; Rahmawati, Rahayu Nur; Ramdhanu, Ade Bagus
Journal of Evidence-based Nursing and Public Health Vol. 2 No. 2: (August) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jevnah.v2i02.2025.1837

Abstract

Backgorund: Monkeypox is a zoonotic infection caused by the monkeypox virus (MONKEYPOXV), which has the potential to be transmitted from animals to humans. This virus can be transmitted through direct contact with infected animals such as monkeys, rats, and squirrels. In 2023, the World Health Organization classified monkeypox as a global pandemic, prompting stricter prevention measures worldwide. Given the significant increase in the number of cases and the challenges in controlling the spread of the virus, this study aims to develop a SEIVR (Susceptible, Exposed, Infected, Vaccinated, Recovered) mathematical model that can describe the dynamics of the spread of the monkeypox virus in Indonesia. Methods: There are two cases of the SEIVR model that will be studied; those are disease-free and endemic cases. From the cases, the stability of the model will be found. The Routh-Hurwitz criterion will also be used to analyze the stability due to the complexity of the eigenvalues. Findings: In the study conducted, simulations indicated that the infected population would coexist or remain for a fairly long time. This phenomenon is caused by the stable nature of the model. The dynamics of the model can also be seen by considering the obtained reproductive number. Although the infected population persists for a long time, the numbers are quite low. Conclusion: Vaccination does not have a significant impact. Therefore, further research using a treatment compartment or virus transition in rodents needs to be conducted for further study. Novelty/Originality of this Article: The novelty of this research lies in the use of the SEIVR model to map the spread of monkeypox in Indonesia and analyze its stability using the Routh-Hurwitz criteria and numerical simulations. This approach provides an initial overview of case persistence and vaccination effectiveness.
Prediksi Harga Saham Syariah dengan Triple Exponential Smoothing Multiplicative Sofiyati, Noor; Saputro, Isnu Aji; Puspita, Dian
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 2 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.2.23602

Abstract

The prediction of sharia stock prices is currently an important concern for investors who want to invest according to Islamic principles. Investors generally invest to achieve profits, which are measured by the magnitude of returns or the rate of return on those sharia-compliant stocks. However, there is also a risk of loss if the investor makes the wrong decision. Often, investors simply guess whether the stock price will go up or down. In sharia stock analysis, accurate forecasting techniques are needed to help investors minimize risk and maximize potential returns. This research aims to predict the stock price of Bank Syariah Indonesia (BRIS. JK), which is one of the sharia stocks highly sought after by stock investors. The prediction for the next year is conducted using the multiplicative triple exponential smoothing method as a guide for investors in decision-making. This method was chosen because of its ability to capture seasonal patterns and trends based on historical stock data.  The forecasting results show that the price of BRIS.JK shares will continue to rise over the next year. This provides valuable information for investors to consider investing in that stock. Keywords: predictions, sharia shares, triple exponential smoothing.
Penerapan Model Logistik Fraksional dalam Memproyeksikan Jumlah Penduduk di Kabupaten Indramayu Tahun 2025-2030 Lu’lu Nurzahra; Isnu Aji Saputro Isnu; Noor Sofiyati
UJMC (Unisda Journal of Mathematics and Computer Science) Vol. 12 No. 1 (2026): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v12i1.13618

Abstract

The continuous growth in population necessitates accurate projections as a foundation for regional development planning. This study aims to apply a fractional logistic model employing the conformable fractional derivative to project the population of Indramayu Regency for the period 2025–2030. The research was conducted using population data from Indramayu Regency spanning the 2020–2024 period, with two fractional orders, namely α = 0,8 and α = 0,2, each comprising four model variations. The accuracy of the models was evaluated using the Mean Absolute Percentage Error (MAPE). The findings indicate that Model III with a fractional order of α = 0.8 yields the highest accuracy, with a MAPE value of 0.121669%. Based on this model, the population of Indramayu Regency is projected to increase from 1,943,094 inhabitants in 2025 to 1,991,027 inhabitants in 2030. The results demonstrate that the conformable fractional logistic model is capable of providing population projections with excellent accuracy, thereby offering a potential alternative for population-data-based development planning.
Co-Authors Dian Puspita Fikri, Mohamad Izudin Lu’lu Nurzahra Noor Sofiyati Rahmawati, Rahayu Nur Ramdhanu, Ade Bagus Setyowisnu, Glagah Eskacakra Sofiyati, noor