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All Journal As-Sidanah : Jurnal Pengabdian Masyarakat International Journal of Technology and Modeling
Syifani, Alya
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Religion Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PENDAMPINGAN PEMBUATAN ALAT PERAGA BOLUNDARSI UNTUK MENINGKATKAN PEMAHAMAN MATERI BANGUN RUANG BOLA DI MTSN 4 CIREBON Izzati, Nurma; Hasanah, Lely; Syifani, Alya; Anika, Anika
As-Sidanah Vol 7 No 2 (2025): OKTOBER
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/assidanah.v7i2.406-422

Abstract

This community service activity aimed to support the improvement of mathematics learning quality at MTsN 4 Cirebon by assisting teachers in developing innovative teaching aids. The urgency of this program lies in the abstract nature of spherical geometry, which makes it difficult for students to grasp elements such as radius, diameter, center point, surface area, and volume when explained only verbally. At the same time, teachers are not yet accustomed to independently creating or using teaching aids. The specific goal of this activity was to introduce and guide the use of the “Bolundarsi” teaching aid as a visual and manipulative medium for learning spheres. The method employed was Participatory Action Research (PAR) through socialization, workshops, and classroom mentoring, with data collected via interviews, questionnaires, and observations. The results showed improved teacher skills, high participation, and enhanced student understanding and engagement. Teachers and students responded positively, indicating that Bolundarsi makes learning more interactive and supports a more concrete understanding of spherical concepts.
A Lightweight Interpolation Framework for Real-Time Travel Time Estimation with Incomplete Traffic Observations Syifani, Alya; Musyarofah, Musyarofah; Firdaus, Taufik Ramadhan
International Journal of Technology and Modeling Vol. 4 No. 3 (2025)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v4i3.88

Abstract

Real-time travel time estimation is essential for intelligent transportation systems (ITS), yet operational traffic data streams are often incomplete due to sensor failures, communication delays, and limited coverage. This paper investigates the effectiveness of interpolation techniques for reconstructing temporally continuous travel-time profiles from real-time speed and density observations. Two approaches—linear interpolation and spline interpolation—are implemented and evaluated across varying traffic regimes (normal flow, dense traffic, and extreme congestion). Model performance is assessed using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) against reference travel-time measurements. The results show that interpolation-based methods consistently outperform a conventional baseline relying on average observed speeds, improving estimation accuracy by up to approximately 15%. Linear interpolation yields competitive performance under stable conditions, while spline interpolation achieves lower MAE and RMSE under congestion, indicating stronger robustness to nonlinear traffic dynamics. Additionally, interpolation improves service availability and estimated time of arrival (ETA) reliability with minimal computational overhead, supporting practical deployment in resource-constrained environments. These findings suggest that interpolation provides a lightweight and effective enhancement for real-time travel time estimation and can serve as a reliable preprocessing layer for advanced predictive models in future work.
Co-Authors Anika, Anika Firdaus, Taufik Ramadhan Hasanah, Lely Musyarofah Musyarofah, Musyarofah Nurma Izzati