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All Journal Desimal: Jurnal Matematika Zero : Jurnal Sains, Matematika, dan Terapan Variance : Journal of Statistics and Its Applications Jurnal Statistika dan Aplikasinya Parameter: Journal of Statistics Enthusiastic : International Journal of Applied Statistics and Data Science MATHunesa: Jurnal Ilmiah Matematika Smart Society: Community Service and Empowerment Journal Jurnal Pengabdian Masyarakat Bangsa RENATA Jurnal Pengabdian Masyarakat Kita Semua Indonesian Journal of Applied Mathematics Jurnal KALANDRA Parameter: Jurnal Matematika, Statistika dan Terapannya TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Ayu Sofia
Actuarial Science Study Program, Sumatera Institute Of Technology, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Empowering the Future: AI-Based Website Development Training to Boost High School Students' Creativity and Digital Skills Luluk Muthoharoh; Yuliana Yuliana; Linda Rassiyanti; Ade Lailani; Ayu Sofia; Tiara Yulita; Dharu Cahyoaji Sasongko; Khairunnisa Maharani; Aditya Rahman
Smart Society Vol. 5 No. 1 (2025): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v5i1.658

Abstract

In the rapidly evolving digital era, Artificial Intelligence (AI) has become one of the key technologies playing a significant role in various fields, including website development. AI-based website development training is a strategic step to enhance the skills and creativity of the younger generation in the era of digitalization. This activity was conducted at SMA Al Huda, South Lampung, with the aim of equipping students with an understanding of basic concepts, steps for creating websites, and how AI can be utilized to enhance creativity in the digital world. The methods used included interactive presentations, demonstrations, hands-on practice, and discussions. The activity also assessed students' knowledge before and after the training through an interactive quiz using Quizizz. The results of the study showed a significant improvement in students' understanding of AI-based website development. In conclusion, this training program was effective in enhancing students' skills and creativity in the digitalization world, particularly in creating AI-based websites
Modelling Extreme Stock Market Risk with Peaks Over Threshold-Value at Risk and APARCH Specifications Aulia Khairani Hutabarat; Ayu Sofia; Muklas Rivai
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/hcm5vr15

Abstract

The capital market plays an important role in a country's economy. Through the capital market, investors can also grow their wealth by investing in stocks, bonds, or other instruments. Investing in stocks in the capital market has high profit potential, but also carries significant volatility risks. One company that experienced significant volatility was PT Indofood Sukses Makmur Tbk., as in 2020 when the COVID-19 pandemic caused extreme volatility in global and local markets. Therefore, risk management is necessary to minimize risks using the Value at Risk method.This study also aims to analyze the risk of investing in PT Indofood Sukses Makmur Tbk. shares using the VaR method with APARCH modeling and the POT approach. The data used are daily closing prices from March 2020 to June 2025. The results show that the best model for forecasting is APARCH(1,1) with a better forecasting accuracy than the naive forecast, as indicated by the MASE value of 0,6131. The VaR estimate indicates that the longer the forecasting period and the higher the confidence level used, the higher the VaR value. This indicates that the extreme risk is higher for the next ten periods. The validity test (backtesting) also confirms that the VaR estimation results are accurate for the long term at a significance level of 1%, 5% and 10%.
Actuarial Evaluation of Additional Contributions in Early Retirement Programs Using the Spreading Gains and Losses Method Dwi Mahrani; Miftha Ulya Nazima; Ayu Sofia; Tiara Yulita
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28726

Abstract

This study examines the actuarial and funding implications of accelerated retirement in a defined benefit pension scheme by integrating the Projected Unit Credit (PUC) method with the Spreading Gains and Losses approach. While both methods are widely applied in pension valuation, limited empirical evidence evaluates their combined implementation under retirement age acceleration scenarios, particularly in Indonesian public sector schemes. This study addresses that gap using secondary administrative employment data of 87 female civil servants obtained from the Investment and One-Stop Integrated Services Office of Lampung Province (Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Lampung), grouped into four entry-age cohorts (22–25 years). The analysis compares normal retirement at age 58 with accelerated retirement at age 50, assuming a 5% annual effective interest rate and 8% biennial salary growth. The results indicate that, at valuation age 45, actuarial liabilities increase by approximately 49.8% under retirement at age 50 relative to age 58. The shorter discounting period and earlier benefit payments outweigh the reduced contribution period, resulting in the emergence of Unfunded Actuarial Liability (UAL). The resulting Past Service Liability (PSL) is amortized over five years, requiring additional contributions ranging from IDR 27.06 million to IDR 82.05 million across entry-age groups. These findings highlight the high sensitivity of pension funding to retirement age assumptions and emphasize the importance of actuarial impact assessments prior to policy implementation. However, the deterministic framework and relatively small sample size limit broader generalization of the results.
Co-Authors Ade Lailani Aditya Rahman Agus Irawan Alfian, Muhammad Nuril Aliem, Dien Manarul Andi Fitriawati Anik Djuraidah Aulia Khairani Hutabarat Azzanina, Nanda Bagus Sartono Baiti, Putri Isnaini Cahyaning Bariq, Muhammad Shidqi Abdul Berliana Ratam, Aldila Nur Indah Dani Al Mahkya Dewi, Karina Sylfia Dharu Cahyoaji Sasongko Dien, Zulfanita Dila Tirta Julianty Dwi Mahrani Fitriawati , Andi Fuji Lestari Gustina K. S, Annisa Hevita Gustriza Erda Hayati MT, Ma’rufah Indah Gumala Andirasdini Irfan, Miftahul Irwan, Sri Efrinita Josepa , Tiffany Audrey Khairunnisa Maharani Lestari, Yushinta Cahya Linda Rassiyanti Linda Rassiyanti Listiani, Amalia Luluk Muthoharoh Madonna, Nora Marisa Marisa Miftha Ulya Nazima Mt, Ma’rufah Hayati Muklas Rivai Nasrullah Nasrullah Nasrullah Nurfitra Pitri, Rizka Rivai, Muklas Rizka Pitri Rizka Pitri Rosni, Rosni Siahaan, Marco Marolop Simanjuntak, Erica Grace Simarmata, Gabriel Camoranesa Siregar, Abian Avisena Siswanto Siswanto Theo Markus Tiara Yulita Yuliana Yuliana Yulita, Tiara Zul’aina, Restu Apriani