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Efforts of Religious Education Teachers in Diagnosing Students' Learning Difficulties Syahid, Syafira Irma; Fitri, Rika; Ernayenti, Ernayenti; Rahmita, Rahmita; Busmayaril, Busmayaril; Defrianto, Defrianto; Mutathahirin, Mutathahirin
Al-kayyis: Journal of Islamic Education Vol. 3 No. 1 (2025): June
Publisher : Al-kayyis: Journal of Islamic Education

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Abstract

Islamic Religious Education is something very valuable for a person; it cannot be denied that through Islamic Religious Education we can distinguish a person's character. Through Islamic Religious Education, a person can become obedient and devout. However, there are several efforts that must be made before achieving maximum results, namely the efforts of an Islamic Religious Education teacher in diagnosing or identifying students' learning difficulties. This study aims to identify the learning difficulties students face during the learning process, which the teacher then describes. This study employs a qualitative approach with a descriptive method, with data sources derived from observations, interviews, and documentation. The research findings indicate that teachers' efforts in diagnosing learning difficulties are already being implemented effectively, but their execution is not yet optimal. This is evident first in the fact that Islamic Religious Education teachers have not yet maximized classroom observations to observe students' deviant behavior during lessons. the implication is that the efforts of Islamic Education teachers in diagnosing learning difficulties through interviews with parents have been going well, but they are still not maximizing their efforts to interview parents to find out the family conditions that are causing problems for students in their learning. Therefore, the approach taken by teachers should not be limited to telephone calls without visiting the homes of students who are experiencing learning difficulties. Teachers should visit the homes of students who are experiencing learning difficulties in order to find out what problems the students are facing.
Ultra-wideband diamond-shaped metamaterial absorber for radar cross section reduction Defrianto, Defrianto; Kurnia, Erwin; Saktioto, Saktioto; Emrinaldi, Tengku; Sakinah, Feby Nur; Ikhsan, M; Asyana, Vepy; Soerbakti, Yan
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.340

Abstract

This study presents the design and full-wave simulation of a diamond-shaped metamaterial absorber configured in a 4×4 array for applications in radar cross section reduction (RCSR). The structure was modeled on an FR-4 substrate with a copper patch and metallic ground plane to achieve high absorption across the ultra-wideband (UWB) frequency range of 0.09 – 10 GHz. Simulations were conducted using CST Studio Suite. Key radar-related performance parameters including reflection (S11), transmission (S21), and absorption were analyzed. Results indicate that the absorber achieves extremely low reflection values (return loss up to -85 dB), near-zero transmission due to the ground plane, and absorption exceeding 80% in targeted radar bands. These findings demonstrate the high potential of diamond-shaped metamaterial absorbers for stealth applications and electromagnetic wave attenuation in modern radar systems.
Optimization of heart rate measurement using fast Fourier transform modeling on electrocardiogram signals Fatimah, Siti; Defrianto, Defrianto
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.313

Abstract

Heart rate measurement based on electrocardiogram (ECG) signals is commonly performed through traditional observation techniques, which can be less effective especially when restricted to short-range. Such limitations may hinder the detection of subtle variations in cardiac rhythm, potentially resulting in the omission of critical time-dependent physiological information. To overcome this challenge, a computational approach is introduced to enhance both the accuracy and consistency of heart rate estimation. The fast Fourier transform (FFT) is applied to convert ECG signals from the time domain to the frequency domain, allowing for accurate identification of dominant spectral components associated with cardiac activity. This transformation also enables the evaluation of long-range, which is often impractical to analyze using time-domain methods alone. A dataset consisting of ten ECG signal recordings from subjects with normal heart function was utilized. Waveform images were digitized using PlotDigitizer software and further processed in MATLAB through spectral transformation. The resulting frequency components were accurately identified, with a mean absolute error of less than 0.2% when compared to reference values. These results demonstrate the effectiveness of a frequency-based analytical approach in improving measurement precision and promoting efficiency in digital cardiac monitoring. The findings contribute to the development of advanced biomedical signal processing techniques.
Co-Authors Abdullah, Hewa Yaseen Ade Saputra Agrina, Agrina Andika Thoibah Andika Thoibah Andri Saputra Anita, Sofia Asyana, Vepy Awitdrus Awitdrus, Awitdrus Azura ' Busmayaril Busmayaril Debora M Sinaga Dedi Irawan dedi irawan Dedi Irawan Dewi Indriyani Roslim Dino Yanuardi Dwi Putri Cahya Safitri Eri Wiyadi Ernayenti, Ernayenti Erwin ' Erwin Amiruddin Erwin Erwin Erwin, ' Fadhali, Mohammed Fadhali, Mohammed M Fitri, Rika Haryana Hairi Juandi Juandi Kisna Pertiwi Krisman ' Kurnia, Erwin Lazuardi Lazuardi Lazuardi Umar Lifa Anggar Mayasari Lihayardi, Lihayardi M Ikhsan M. Rasyid Ridho Maksi Ginting Mbantun Ginting Meiliyah Ariani, Meiliyah Melani Seprima Minarni Shiddiq, Minarni Moh Danil Hendry Gamal Muhammad Luthfi Mutathahirin, Mutathahirin Mutiara Akhdesia Nuraina Fika Lubis Nurwijayanti Okfalisa Okfalisa Pratama, Nando Putri, Ika Aprilla Rabin, Mohammed Fisal Rahman Kurniawan Rahmi Dewi Rahmondia N. Setiadi Ramadhani, Fatima Nur Reynal Nur Razzaq Riad Syech Riad Syech Rina Afriza Rina Amelia Rini, Ari Sulistyo Rini, Ari Sulistyo Risanto, Joko Riska Amalia Rofeah ' Romi Fadli Syahputra Rosmely, Wirna Sakinah, Feby Nur Saktioto Saktioto Saktioto, Saktioto Salomo ' Salomo Salomo Sandra Septiana Septi Pramuliawati Siti Fatimah Soerbakti, Yan Soerbakti, Yan Sofia Anita Suhaivi Hamdan Suhardi Suhardi Sultan Fiddunya Fiddunya Syahid, Syafira Irma Syahril Syahril Syamsudhuha Syamsudhuha Tengku Emrinaldi Titrawani Titrawani Usman Malik Usman Usman Vepy Asyana Vira Marselly Vivina Eprillison Wahyu Candra Walfred Tambunan Wildan Adli Wima Puspita Wirianto, Hazmi Yan Soerbakti Yan Soerbakti Yohanes Dwi Saputra, Yohanes Dwi Yupapin, Preecha Zahroh, Siti Zamri, Zamri Zulfa Zulfa Zulhawati Zulkarnain Zulkarnain