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All Journal Dusturiah : Jurnal Hukum Islam, Perundang-undangan dan Pranata Sosial Paediatrica Indonesiana JOURNAL OF APPLIED INFORMATICS AND COMPUTING Holistik Analisis Nexus
Akbar Shiddiq, Akbar
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Humanities Computer Science & IT Economics, Econometrics & Finance Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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TINGKAT MOTIVASI DAN PEMAHAMAN GEN Z SISWA TPQ TERHADAP ILMU TAJWID DAN MAKHORIJUL HURUF (Studi Kasus Siswa TPQ di Desa Palak Bengkerung Bengkulu Selatan) Shiddiq, Akbar; Nasrulloh Nasrulloh
Holistik Analisis Nexus Vol. 1 No. 12 (2024): Desember 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/nexus1073

Abstract

Membaca Al-Qur'an secara tartil dengan menggunakan dan memahami konsep makhorijul huruf dan ilmu tajwid. Meskipun demikian, masih banyak santri TPQ Gen Z di Desa Palak Bengkerung yang belum mampu membaca Al-Qur'an dengan baik dan benar sesuai dengan kaidah tajwid dan makhorijul huruf. Oleh karena itu, penting untuk lebih fokus dalam memahami Al-Qur'an. Tujuan penelitian ini adalah untuk: 1) mengetahui pemahaman siswa TPQ Gen Z terhadap ilmu tajwid dan makhorijul huruf; dan 2) mencari cara untuk meningkatkan minat siswa dalam mempelajari ilmu Al-Qur'an di bidang tajwid dan makhorijul huruf. Penelitian ini menggunakan metodologi penelitian kualitatif deskriptif. Sebanyak lima siswa dan guru TPQ Masjid Jamik dan Masjid Bilal Bin Rabbah diobservasi dan diwawancarai sebagai bagian dari metode pengumpulan data penelitian. Berdasarkan hasil penelitian, teknik sorogan masih digunakan di TPQ Masjid Jamik dan Masjid Bilal Bin Rabbah Desa Palak Bengkerung untuk mengajarkan ilmu tajwid dan cara melafalkan huruf-huruf Makhorijul dengan benar. Meskipun dianggap sudah ketinggalan zaman, namun pendekatan ini masih cukup relevan dan sering digunakan dalam pendidikan Al-Qur'an.
SERAWAI TRIBE COMMUNITY'S EFFORTS TO BUILD FAMILY RESILIENCE THROUGH: the Tradition of Fighting for Girls from Maslahah Murlah's Perspective Shiddiq, Akbar; Hakim, H. M. Aunul; Taklima, Musa; Miladiah, Vida Rofika
Dusturiyah: Jurnal Hukum Islam, Perundang-undangan dan Pranata Sosial Vol. 16 No. 1 (2026): JURNAL DUSTURIAH
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/w1sjgz60

Abstract

This study examines of the beterang tradition for girls in strengthening family resilience among the Serawai ethnic community through the perspective of maslahah mursalah. The study used a qualitative approach combining legal-sociological and normative methods. Data were gathered by observing, conducting detailed interviews, and reviewing documents from traditional leaders, religious people, parents, and young women. The findings indicate that the beterang tradition serves as a medium for internalizing religious, moral, and social values, contributing significantly to the psychological and spiritual readiness of young women for family life. It also plays a strategic role in preventing family conflicts, strengthening social relations, and fostering ethical awareness. From the perspective of maslahah mursalah, this tradition fulfills the principles of maqashid al-shari‘ah, particularly in safeguarding religion, life, intellect, lineage, and property, thus remaining relevant as a contextual model of family education based on Islamic values and local wisdom.
Risk factors for bradycardia in magnetic resonance imaging and computed tomography-scan examinations of children under general sedation Cesilia, Citra; Ananda, Pratama; Shiddiq, Akbar; Febriani, Febriani; Wijaya, Dewi; Candra, Riky; Fahrizon, Ramadhanti A.; Djojosugito, Fauzia A.
Paediatrica Indonesiana Vol. 66 No. 2 (2026): March 2026
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background Children often require general sedation to obtain high-quality magnetic resonance imaging (MRI) or computed tomography (CT) images, but sedation may cause complications such as respiratory depression. Identifying risk factors for sedation-related bradycardia, an indicator of severe sedation compromise, can improve patient safety during imaging. In pediatric patients, bradycardia can arise as a downstream consequence of hypoxia, airway obstruction, or inadequate ventilation, all of which represent key mechanisms of respiratory compromise during sedation. Objective To determine factors associated with bradycardia in pediatric patients undergoing MRI or CT scans under general sedation. Methods This retrospective, observational study included 328 children (<18 years of age) sedated for MRI or CT between 2022 and 2025 at Arifin Achmad Hospital. Data on age, sex, nutritional status, American Society of Anesthesiologists (ASA) status, comorbidities, number of sedative agents, sedation duration, and imaging modality were collected. Bivariate and multivariate binary logistic regression analyses were performed to identify factors associated with bradycardia. Results Bradycardia occurred in 3.0% of cases (10/328). No cases of overt respiratory depression were identified in this study. Nutritional status was significantly associated with bradycardia in bivariate (P=0.001) and multivariate (P=0.004) analyses. Children with severe malnutrition had a markedly higher risk of developing bradycardia [adjusted odds ratio/OR 6.91; 95%CI 1.84 to 25.93). Conclusion In sedated pediatric patients undergoing MRI or CT scans, severe malnutrition was the only significant predictor of bradycardia. These findings suggest that pre-sedation nutritional status assessments may help mitigate the risk of sedation-related respiratory complications.
Machine Learning for EEG-Based Cognitive Response Analysis in the Free Nutritious Meals Program Hidayat, Rahmat; Putra, Yusa; Bagus, Yerezqy; Dasweni, Sri; Shiddiq, Akbar
Journal of Applied Informatics and Computing Vol. 10 No. 5 (2026): October 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i5.14042

Abstract

Electroencephalography (EEG) signals provide objective information on students’ cognitive responses; however, an appropriate classification method is required to effectively process their characteristics. This study aims to compare the performance of six machine learning algorithms in classifying students’ cognitive responses based on EEG data collected in the context of the Free Nutritious Meals (MBG) Program. The evaluated algorithms include K-Nearest Neighbors, Random Forest, Logistic Regression, Decision Tree, Naive Bayes, and Support Vector Machine, using delta, theta, alpha, beta, and gamma features. The modeling process involved baseline model development and hyperparameter tuning, followed by performance evaluation using accuracy, precision, recall, and F1-score. The results show that K-Nearest Neighbors achieved the highest baseline accuracy of 88.00%. After hyperparameter tuning, Decision Tree achieved the highest performance among the tuned models, with an accuracy and macro F1-score of 88.00%. However, its accuracy was identical to that of baseline KNN, and no significant difference was observed between their predictions. These findings indicate that hyperparameter tuning affected the evaluated algorithms differently, with Decision Tree showing the largest performance improvement under the experimental configuration used in this study.
Co-Authors Ananda, Pratama Bagus, Yerezqy Candra, Riky Cesilia, Citra Dasweni, Sri Djojosugito, Fauzia A. Fahrizon, Ramadhanti A. Febriani Hakim, H. M. Aunul Miladiah, Vida Rofika Nasrulloh Nasrulloh Rahmat Hidayat Taklima, Musa Wijaya, Dewi Yusa Putra