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All Journal Jurnal Ilmiah Poli Rekayasa SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin SemanTIK : Teknik Informasi Halaqa : Islamic Education Journal Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Brilliance: Research of Artificial Intelligence Jurnal Mengkaji Indonesia Jurnal Keperawatan Profesional EduImpact: Jurnal Pengabdian dan Inovasi Masyarakat
Abd Rohman, Abd
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Religion Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analysis Comparative of Performance Optimization Techniques for PHP Framework Testing: Laravel, CodeIgniter, Symfony: Analisis Perbandingan Teknik Optimasi Performa Untuk Pengujian Framework PHP: Laravel, CodeIgniter, Symfony Putra, Fauzan Prasetyo Eka; Zulfikri, Achmad; Rohman, Abd; Alim, Royfal
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5989

Abstract

Web application performance significantly impacts digital services in sectors like e-commerce, education, and healthcare, where poor response time (>100 ms) can reduce user satisfaction by up to 20% and cause revenue losses. Despite numerous studies on PHP frameworks, comprehensive comparisons integrating optimization techniques remain limited. This research empirically evaluates the performance of Laravel, CodeIgniter, and Symfony, focusing on response time, throughput, and error rate before and after applying optimization techniques. Load and stress testing was conducted using Apache JMeter, Xdebug, and New Relic on a student management system with a MySQL database (10,000 records), simulating realistic scenarios from 1 to 100 users, mimicking e-commerce or educational platforms. Optimization techniques included caching (e.g., route caching in Laravel, query caching in CodeIgniter), database optimization (indexing, eager loading), and code refactoring. Results revealed CodeIgniter achieved the lowest response time (16.49 ms, 41.4% reduction) and highest throughput, ideal for lightweight applications like news portals. Laravel showed the greatest improvement under high load (35.1% reduction, from 118.34 ms to 76.80 ms), suitable for e-commerce platforms. Symfony demonstrated stable performance (20.0%–25.0% reduction), fitting enterprise applications with complex APIs. This study provides practical guidance for developers in selecting PHP frameworks based on project requirements and offers optimization recommendations to enhance web application efficiency and scalability.
Batak Toba Customary Inheritance Law from a Gender Justice Perspective Rohman, Abd
Jurnal Mengkaji Indonesia Vol. 4 No. 1 (2025): July
Publisher : CV. Era Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59066/jmi.v4i1.1137

Abstract

Abstract: The customary inheritance law of the Batak Toba adheres to a patrilineal system that prioritizes male descendants as the primary heirs, while female descendants have limited inheritance rights. This system is based on customary values that position men as the successors of lineage and guardians of family assets. However, the development of national law and the growing awareness of gender equality have driven changes in the inheritance practices of the Batak Toba, creating tensions between customary law and national law. Purpose: This study aims to analyze the inheritance system in Batak Toba customary law and explore the position of female descendants in obtaining their inheritance rights. It also seeks to identify the dynamics of changes in Batak Toba customary inheritance law in the context of gender justice. Design/Methodology/Approach: This study employs a normative juridical method with a statutory and conceptual approach. The primary legal materials used include relevant legislation and court decisions, while secondary legal materials consist of academic literature, journals, and other legal documents. Findings: The research findings indicate that the Batak Toba customary inheritance system is still dominated by patrilineal principles but has undergone shifts due to national legal intervention and social changes within the community. Supreme Court decisions have set precedents for recognizing the inheritance rights of female descendants, although gaps between customary law and national law persist in practice. Factors such as education, population mobility, and economic conditions also contribute to changes in the inheritance system. Originality/value: This study contributes to the understanding of the interaction between customary law and national law in inheritance matters and provides recommendations for creating a more inclusive and equitable legal system for women in the Batak Toba indigenous community.
TRANSFORMASI PEMBELAJARAN BAHASA ARAB MELALUI WORDWALL DI KELAS 3 MI MIFTAHUL HUDA Andriani, Silvi; Rofiq, A. Ainur; Zainab, Siti; Khosiah, Nur; Rohman, Abd
EduImpact: Jurnal Pengabdian dan Inovasi Masyarakat Vol. 1 No. 2 (2024): EduImpact: Jurnal Pengabdian dan Inovasi Masyarakat
Publisher : Cipta Pustaka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63324/eipm.1v.2i.20

Abstract

Program pengabdian ini bertujuan untuk menyoroti efektivitas penggunaan aplikasi Wordwall sebagai media pembelajaran dalam meningkatkan hasil belajar bahasa Arab siswa kelas III di MI Miftahul Huda Sepuh Gembol, Kabupaten Probolinggo. Dalam konteks pendidikan yang semakin berkembang, terutama dengan kemajuan teknologi, aplikasi ini diharapkan dapat mengatasi tantangan yang dihadapi dalam pengajaran bahasa Arab yang sering kali terkesan kaku dan tradisional. Program pengabdian menggunakan metode kualitatif dengan pendekatan deskriptif digunakan untuk memahami transformasi pembelajaran melalui observasi dan wawancara mendalam dengan guru dan siswa. Hasil pengabdian menunjukkan peningkatan yang signifikan, pengalaman positif siswa dalam menggunakan Wordwall menciptakan suasana belajar yang menarik dan interaktif, sehingga dapat meningkatkan motivasi dan keterlibatan mereka. Dengan demikian, program pengabdian ini menyimpulkan bahwa penggunaan Wordwall tidak hanya efektif dalam meningkatkan hasil belajar, tetapi juga dapat menciptakan lingkungan belajar yang lebih inklusif dan menyenangkan. Diperkirakan, penerapan media interaktif ini dapat menjadi inovasi yang bermanfaat bagi pendidik dalam pengajaran bahasa Arab di sekolah-sekolah berbasis Islam.
Computer Network Management Optimization Through Big Data Analysis Using Time Series Analysis Method Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Huda, Moh Abroril; Hasbullah, Hasbullah; Rohman, Abd
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4373

Abstract

Efficient management of computer networks is becoming increasingly important in the ever-evolving digital age. With the ever-increasing volume of data in the network environment, sophisticated approaches are needed to analyse and optimise network performance. One promising approach is the use of big data analysis with time series analysis methods. In this context, this research aims to explore the potential application of big data analysis using the time series analysis method in computer network management. By combining the power of big data analysis with time series analysis methodology. One of the main applications of  big data analysis in computer networks is security threat detection. By analysing unusual traffic patterns or suspicious behaviour, the system can identify potential attacks or data leaks more quickly and efficiently. In addition, big data analytics can also be used to optimise network performance by identifying bottlenecks, predicting capacity requirements, and improving the efficiency of resource usage by utilising big data analytics in the context of computer networks. However, challenges related to data privacy and security remain a major concern that must be addressed in the application of this technology. Therefore, it is important to develop a framework that takes into account the security and privacy aspects of data throughout the big data analysis process. Through this research, it is hoped that innovative solutions to the challenges of managing complex computer networks in the evolving digital era can be found, as well as provide a solid foundation for further research in this field.
Co-Authors Abdul Muhid, Abdul Alim, Royfal Andriani, Silvi Arifin, Goffal Aziz, Mohammad Fauzan Prasetyo Febrian, Rizki Muh Ghozali, Muhamad - Hasbullah Hasbullah Huda, Moh Abroril IR, Anes Kostaman, Tata Luthfi, Ajie M Maruli Tua L. Tubing, Victor Mawardi, Iman - MF, Willy Mustofa, Asep Mustopa, Asep Nugraha, MH Nur Khosiah Patriana, Ari Putri, Fina Zaiana rabbika, anes inda Rismawati, Nofita Ritonga, Muhammad Soleh Rizki, Abdulloh Rofiq, A. Ainur Siti Zainab, Siti Sucipto Sucipto Syam, Abd Muiz Ubaidi, Ubaidi Widagdo, Tri Jaya Widyantoro Widyantoro Willy Muhammad Fauzi Wulandari, Inayah Riski Yanti Yanti Zulfikri, Achmad