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Journal : Madani: Multidisciplinary Scientific Journal

Merancang dan Menerapkan Sistem Keamanan Jaringan untuk Jaringan Nirkabel Rahman, Rakhmadi; Ghazali, M. Chaerul
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 7 (2024): Madani, Vol 2. No. 7, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12952735

Abstract

Studi ini bertujuan untuk merancang dan menerapkan sistem keamanan untuk jaringan nirkabel guna mengatasi kerentanan yang ada, seperti intersepsi data dan akses tanpa izin. Penelitian ini melibatkan identifikasi ancaman potensial, analisis risiko, dan pengembangan strategi keamanan, termasuk protokol enkripsi seperti WPA2/WPA3, langkah-langkah kontrol akses, dan penggunaan VPN. Metode yang digunakan juga mencakup evaluasi kinerja melalui uji penetrasi dan pemantauan berkelanjutan. Temuan penelitian ini mengungkapkan area penting untuk meningkatkan keamanan jaringan, terutama dalam mengamankan transmisi data dan mencegah akses tanpa izin. Studi ini menyimpulkan bahwa penerapan langkah-langkah keamanan yang komprehensif, bersama dengan pembaruan rutin dan edukasi pengguna, secara signifikan meningkatkan keamanan jaringan nirkabel. 
Manajement Power Plan Untuk Kinerja Komputer yang Optimal Rahman, Rakhmadi; Nurfauzi, Muhammad Aqmal; Ramadhani, Alya
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 7 (2024): Madani, Vol 2. No. 7, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13123197

Abstract

 The Windows operating system is a crucial piece of software for running computers, responsible for tasks such as memory management, process control, and the coordination of software and hardware. As technology advances, heterogeneous computing, which involves using various types of computing units within a single system, is becoming more common. However, this development introduces new challenges in terms of efficient resource management. This research aims to optimize the performance of the Windows operating system in heterogeneous computing environments through intelligent resource management. An experimental method is used to test various optimization and resource management techniques, including comparisons between AMD Ryzen and Intel Core processors. The results of the research indicate that proper resource management can enhance the performance and efficiency of the operating system. By understanding the strengths and limitations of each type of processor, users can make better decisions in selecting hardware that meets their needs. The conclusions of this study provide insights into the importance of efficient resource management for improving system performance and efficiency.
Teknik Kontainerisasi dan Virtualisasi Sebagai Solusi Untuk Meningkatkan Portabilitas dan Skalabilitas Sistem Operasi Ubuntu Rahman, Rakhmadi; Khalifah, Nur Ayu; Antoni, Wahyudi
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 8 (2024): Vol. 2, No. 8, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13198544

Abstract

This research explores containerization and virtualization innovations as methods to increase the portability and scalability of the Ubuntu operating system. In an era of rapidly evolving technology, the ability to optimize resource use and simplify application distribution has become increasingly important. Containerization allows applications to run consistently across multiple environments by packaging all required dependencies. Meanwhile, virtualization allows multiple operating systems to run on a single physical piece of hardware, increasing efficiency and flexibility. This study examines the benefits, challenges, and implementation of these two techniques in the context of the Ubuntu operating system, offering in-depth insights and practical solutions that can be adopted by developers and system administrators. Thus, this research makes a significant contribution to the understanding and application of containerization and virtualization technologies to improve the performance and adaptability of operating systems in modern computing environments.
Pengembangan Inovatif Sistem Operasi Real-Time Untuk Aplikasi Dengan Ketepatan Waktu Sangat Tinggi Menggunakan Sistem Operasi Windows & Linux Rahman, Rakhmadi; Rasya, Muh. Daffa Nashwan; Suryadi, Arfika Amalia
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 8 (2024): Vol. 2, No. 8, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13208385

Abstract

This study explores the development of an innovative real-time operating system aimed at enhancing time precision for applications with very high timing requirements, utilizing both Windows and Linux operating systems. By investigating and analyzing novel techniques in task management, priority scheduling, and hardware-software interactions, this research seeks to ensure optimal real-time performance. The findings are expected to make significant contributions to the development of critical applications requiring high accuracy and strict timing precision, and provide insights into the implementation of real-time solutions within commonly used operating system platforms.
Pengembangan Sistem Deteksi dan Pencegahan Deepfakes Pada Windows: Keamanan Distribusi Konten Alif, Muh.; Hamuddin, Humaera; Rahman, Rakhmadi
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119875

Abstract

Deepfakes detection and prevention systems are needed nowadays. The publication of content made from AI manipulation is a threat in the digital world. This system is used to minimize the distribution of content that can be used by certain individuals to bring down a person or group. The detection carried out focuses on machine learning as the main system. Blockchain as a system that performs storage and verification based on comparing the original content that has been loaded with content that is considered manipulated. It is transparent and has various advantages that provide security for data and users. With the appropriate dataset in machine learning, detection can be done as needed. Machine learning does not reject many datasets to train the model created to be smarter in detection. Deeepfakes pose a significant threat to information dissemination. It is necessary to do good and correct prevention and detection so that disinformation does not occur and also so that there is no hoax information.
Integrasi Address Space Layout Randomization (ASLR) Pada Kernel Linux X86 (32bit) Untuk Mencegah Serangan Exploit Buffer Overflow Rahman, Rakhmadi; Anugra, Ayu; Amin, Widyah Putri Auliya
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 8 (2024): Vol. 2, No. 8, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13208360

Abstract

Buffer Overflow consist of two words, namely buffer and overflow. Buffer refers to area data storage, while overflow means overflowing. In simple terms, buffer overflow is a situation where the data storage are receives more data then its capacity. Buffer Overflow can also be interpreted as a frequently used method by hackers to exploit computer application systems. Buffer Overflow can damage the affected program. This is possible causing the program to not function properly, crash, or not at all can be run at all. Damage caused by buffer overflow can disrupts the operating system and causes irrecoverable data loss. Therefore, we must prevent buffer overflow exploit attacks, one of them the way we can do this i by implementing Addresss Space Layout Randomization (ASLR).
Implementasi Cloud Native dan Multi Cloud Pada Sistem Operasi Windows Dengan Menggunakan Docker dan Cara Penggunaannya Rahman, Rakhmadi; Syaddad, Muhammad Shadiq Dzakwan; Sesa, Velita Rante
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119907

Abstract

In the modern computing era, cloud native and multi-cloud strategies are essential for organizations to increase flexibility, scalability, and operational efficiency. Docker, as a popular containerization platform, becomes the main foundation in the implementation of these two strategies. This research aims to explore the optimization of Windows operating systems in supporting the implementation of Docker for cloud native and Windows Server for multi-cloud. Cloud native is an approach to building and running applications designed specifically for the cloud, which utilizes automation, scalability, and efficient management. Meanwhile, multi-cloud is a strategy that uses a variety of cloud services from different providers to increase reliability, availability, flexibility, and innovation while reducing costs.
Perancangan Aplikasi “Empatiku” Berbasis Android Untuk Peningkatan Aksesibilitas Informasi Bagi Penyandang Disabilitas Rahman, Rakhmadi; I, Ikbal; V, Viandra; Azzahra, Maryam
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119837

Abstract

In an increasingly advanced digital era, technology has a very important role in increasing information accessibility for all individuals, including people with disabilities. One approach that has proven effective in improving their quality of life is the development of Android-based applications specifically designed to meet their needs. This article discusses the design of the "EmpatiKu" application which aims to increase information accessibility for people with disabilities, with a focus on the use of technology to support independence and social inclusion. The development of information and communication technology has opened up new opportunities in efforts to overcome the challenges of information accessibility for people with disabilities. The "EmpatiKu" application is designed to present innovative solutions that utilize the power of Android as the main platform. Using features such as voice recognition, disability-friendly navigation, and an easy-to-access interface, the app aims to provide a bridge to information often encountered by those with physical or sensory limitations.
Pemanfaatan Pembelajaran Mesin Untuk Meningkatkan Performa Sistem Operasi Windows Rahman, Rakhmadi; Revan, Muh; Safikah, Nur
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119909

Abstract

Windows operating system, which is one of the largest and most popular computing platforms in the world, faces the challenge of continuously improving performance in the face of increasing user demands and rapid technological developments. Machine learning, as a branch of artificial intelligence, offers an innovative solution to overcome this challenge by utilizing algorithms to learn from data and system usage patterns. In this study we use the Experimental Research Method, This method can be used to test the effectiveness of implementing machine learning techniques in improving the performance of the Windows operating system. Experimental research can be done by creating experiments in a controlled environment, for example, using simulations or testing on a specially prepared development environment. This article discusses how the application of machine learning can improve Windows performance through optimization of memory management, task scheduling, and power management. By conducting controlled experiments to evaluate machine learning techniques, this study shows that this technology can significantly improve operational efficiency, security, and user experience, making Windows a more responsive and efficient platform.
Co-Authors A.Nurul Sairah Abdul Khalik Hartono Abdullah Abdullah Abdullah B Abdullah B Abriel Yosua Nathanael Leksona Achmad Haikal Fikri Adinda Aulia Rahmi Adwah , Farah Diyanah Afiqah Ahmad, Muhammad Adhi Fahriansyah Aisyah Aisyah Akmal Baharuddin Syam Al-Amin, Muh. Alif Imran Alif, Muh. Alvian Tri Putra Darti Akhsa Alya Putri Rahmadani Alya Wulan Apriliyani Amanda Putri Heryanti Amin, Widyah Putri Auliya Ananda Nabila Putri ANANTA, ASTI Andi Aulia Safirah Andi Maharani Andi Mahrani Anita Septiani Mustamin Antoni, Wahyudi Anugra, Ayu Anugrah Dwi Ansarna Apriliyani, Alya Wulan Arfika Amalia Suryadi Arthanty, Annisa Aspiani Putri Ashilah Aulia Rahmi, Adinda Awal Ramadhan Nasrun Azzahra, Maryam Baharuddin, Siti Hajar Barik Alfito, Ramadan Chintami Darti Akhsa, Amaliah Danang Fatkhur Razak Darti Akhsa, Alvian Tri Putra Dermawan, Rufaida Desvi Dwicki, Dwicki Herlambang Egi Fahrezi Iswan Eka Tanduklangi Fadhil Aditya Fanilda Damayanti Fathin Alwan Tahir Fathuresqi, Fathuresqi Fatkhur Razak, Danang Fatwa, Syafira Fikri, Achmad Haikal Furqan, M Furqan Ramadhanu Ghazali, M. Chaerul Ghina R.S Odja Gina Latifa Akmal Haikal Fikri, Achmad Hakim, Nur Fadillah Hamuddin, Humaera Haslinda Haslinda Hikma, Nurul I, Ikbal Ibrahim, Siti Nur Azizah Imamulkhair, Muhammad Januar Fahrisal Jesica Septiani Manurung Julistio Fadjar Anugrah Sao Kelsia Nelsia Khaera Tunnisa, Khaera Khalifah, Nur Ayu Khumaedi Khumaedi Kuncahya, Figra Dwi Kustanto , Prio Lia Kamila Kulsum Lukman Hakim Lukman Hakim M Furqan Ramadhanu M Yahtadi M. Faiz Ilyas Mar'atuttahirah, Mar'atuttahirah Maratuttahirah Maratuttahirah, Maratuttahirah Marwa Dinda Muchtar Mar’atuttahirah Mar’atuttahirah, Mar’atuttahirah Meiana Sahabuddin Meyrani R Moh. Farel Muh. Al Amin Muh.Daffa Nashwan Rasya Muhammad Akbar Fahrezi Muhammad Alfarizky Yusuf Muhammad Alfian Muhammad Arham Arsyad Muhammad Aril Muhammad Dirga Sopan Muhammad Hasyim Rusmin Muhammad Syawal Muhammad Yusuf Dzaky .J Mulyadi Mulyadi Murtafia Murtafia Nabilah Ramadhani Wowong Najwa, Hafizhah Natasya taslim Noel Ivander Pusung Nugrah Surya Pratama Nur Afiat Nur Azisah Basir Nur Fadillah Hakim Nurfaida Nurfaida Nurfauzi, Muhammad Aqmal Nurhalisah Ramli Nurhalizah, Siti Nurislamiyah Nurislamiyah Nurul Salsabillah Ome, Paulus Jemianus Pusung, Noel Ivander Putri Balqis Putri Dyananda Luqman Putri, Ananda Nabila Rahman, Aldi Fatur Rahmat Eka Putra R Palaloi Ramadhan, Syam Syahru Ramadhani, Alya Rasya, Muh. Daffa Nashwan Razak, Danang Fatkhur Redo Triansyah Reski Septiawan Retno Helviani Revan, Muh Rina Rina Rosmiati Rosmiati Rosmiati Rosmiati Safikah, Nur Saylandra Aulia Ramadhani Septian Rheno Widianto Sesa, Velita Rante Shalza Naya Dwi Fortuna Siti Nurhalizah Stepani Surianti, Besse Suryabuana, Andi Sahra Suryadi, Arfika Amalia Syaddad, Muhammad Shadiq Dzakwan Syafira Fatwa Syafira Fatwa Syam, Akmal Baharuddin Syifa Tri Agusriani taslim, natasya Tri Aditya, Muh Tri Putra Aditya Umi kalsum, Umi kalsum V, Viandra Wahyu Anwar Wildana, Andi Putri Wildana wulan, alya Yonatan Rannu Zahirah, Andi Riah Zulfattah, Abdul Khaliq