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PENGUJIAN PENETRASI JARINGAN MENGGUNAKAN OWASP ZAP DAN SQLMAP UNTUK MENGIDENTIFIKASI KERENTANAN KEAMANAN WEBSITE
Rakhmadi Rahman;
Fatkhur Razak, Danang
Jurnal Riset Sistem Informasi Vol. 1 No. 4 (2024): Oktober : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher
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DOI: 10.69714/e4rhmk70
Web application security is becoming increasingly critical amidst increasing cyber threats that can result in data leakage and other losses. This research aims to identify and exploit security vulnerabilities in a web application using two popular tools, OWASP ZAP and SQLMAP. OWASP ZAP is used to find various vulnerabilities such as Cross-Site Scripting (XSS) and insecure configuration, while SQLMAP is focused on the detection and exploitation of SQL Injection vulnerabilities. Through a series of automated scans and in-depth analysis, this research successfully identified several vulnerabilities with medium and low risk levels. The test results show that both tools are effective in identifying vulnerabilities, providing important insights into mitigation steps that need to be taken to improve web application security. This research also emphasizes the importance of input validation and sanitization, the use of parameterized queries, and security configuration updates as key mitigation measures. The findings are expected to contribute to improved security practices in web application development and reduce the risk against cyberattacks.
Pengembangan Rancangan Aplikasi Hear Talk Me untuk di Gunakan Penyandang Tunarungu Berbasis Sistem Operasi Android
Rakhmadi Rahman;
Muhammad Aril;
Ananda Nabila Putri
Venus: Jurnal Publikasi Rumpun Ilmu Teknik Vol. 2 No. 5 (2024): Oktober: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia
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DOI: 10.61132/venus.v2i5.482
With all respect and gratitude, we express our gratitude to the presence of Allah SWT who has bestowed His grace and grace, so that we can complete a paper entitled "Development of Hear Talk Me Application Design for Deaf People Based on the Android operating system". Shalawat and salam may always be poured out to the Prophet Muhammad SAW, a role model for mankind. This paper describes the development of smarthphone aids that aim to improve accessibility for deaf people. This application is designed using the android operating system to be easily used by users with special needs. The main features included include text to voice translation and vice versa, as well as vibration notifications for incoming calls or messages. With this paper, we hope to create a useful and effective tool for deaf people to be able to access and utilize Smartphone functions maximally, hopefully this paper can provide useful insights and inspire further research in the development of accessibility technology
Strategi Disaster Recovery dengan Virtualisasi: Backup dan Restore Sistem Operasi di VMware dengan Menggunakan Snapshot
Rakhmadi Rahman;
Anugrah Dwi Ansarna;
Eka Tanduklangi
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.61132/merkurius.v2i5.271
A Disaster Recovery Plan (DRP) is a structured approach that describes how an organization can carry out its operations after an unplanned incident that can result in system failure. Creating strong system resilience requires an IT team with strong experience and understanding as well, and this is the background of this research. This research aims to provide practical guidance in implementing disaster recovery strategies with virtualization, especially the snapshot feature on VMware Workstation to test disaster scenarios and evaluate their recovery effectiveness.
Integrasi Aplikasi Pemesanan Digital Berbasis Sistem Operasi Android dengan Pembayaran Berbasis Cloud
Rakhmadi Rahman;
Muhammad Syawal;
Saylandra Aulia Ramadhani
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 4 (2024): Juli : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.61132/merkurius.v2i4.281
Technological developments in the digital world have now begun to increase the use of operating systems such as Android which are often used on electronic devices such as smartphones and tablets, penetrating various fields of human life. The use of these devices is essential in facilitating various tasks, especially digital ordering and transactions. This integration provides better transaction protection, more effective usage, and benefits and convenience. Cloud computing makes it easy and efficient to integrate digital ordering applications into payment systems. Observations show that these integrations provide user convenience and purchase trends, assist marketing strategies, and generate more accurate business decisions. If carefully developed and implemented, this integration has great potential to change the way business is done in the digital age.
Peran Sistem Operasi Seluler dalam Meningkatkan Efisiensi Energi dan Keamanan Mobile Banking untuk Perekonomian Berkelanjutan
Rakhmadi Rahman;
Retno Helviani;
Nur Afiat
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.61132/uranus.v2i3.282
In the digital era, mobile operating systems (OS) play a pivotal role beyond mere application execution platforms. They are essential for optimizing energy efficiency and enhancing security, particularly in the realm of mobile banking. This paper explores the critical role of mobile OS in supporting sustainable economic growth through efficient energy use and robust security measures in mobile banking transactions. The focus is on how these OS advancements contribute to a secure and environmentally responsible digital economy. Key aspects covered include energy optimization strategies, security enhancements such as data encryption and multi-factor authentication, and the integration of these technologies into mobile banking applications. By addressing these challenges, mobile OS not only ensures sustainable economic development but also fosters financial inclusivity and security in an increasingly digital world.
Optimalisasi Sistem Operasi Windows Agar Pengguna Memanfaatkan Layanan Lingkungan Cloud Dan Edge Computing
Rakhmadi Rahman;
Muhammad Yusuf Dzaky .J;
Jesica Septiani Manurung
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.61132/uranus.v2i2.304
Optimizing Windows-based operating systems for databases in Cloud and Edge Computing environments is very important to increase data management efficiency and performance. In this study, we discuss ways to optimize Windows in both environments. In the Cloud environment, the main focus is on data management using services such as Google Drive, while in the Edge environment, optimization is carried out using Windows IoT Core and Windows IoT Enterprise. Of these two, we optimize Windows IoT Enterprise more because it is more directed towards Edge computing. Our research results show that by implementing the right optimization and efficient performance results, database performance can be significantly improved, which provides great benefits for individual users and society
Meningkatkan Responsivitas Pada Sistem Operasi Android Melalui Implementasi Algoritma Penjadwalan Mutakhir
Rakhmadi Rahman;
Shalza Naya Dwi Fortuna;
Redo Triansyah;
Muhammad Akbar Fahrezi
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 3 (2024): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.62951/router.v2i3.146
This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.
Strategi Manajemen Memori pada Sistem Operasi Android untuk Smartphone Kelas Menengah
Tri Putra Aditya;
Aisyah Aisyah;
Rakhmadi Rahman
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 3 (2024): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia
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DOI: 10.62951/router.v2i3.165
In the context of rapidly evolving mobile technology, memory management has become an important aspect that determines the efficiency and effectiveness of Android operating systems, particularly on mid- range smartphones. The objective of this research is to identify, analyze and develop memory management strategies that can improve the performance of the Android operating system on resource-constrained devices. Using an experimental approach, this study evaluates various memory management techniques, including the use of optimized caches, memory compression, and page replacement algorithms, to determine the most effective combination to improve system responsiveness and performance. The results show that the implementation of appropriate memory management strategies can significantly improve operating system performance and user experience while extending battery life. These findings provide valuable information for application developers and device manufacturers to optimize their products for mid-range smartphone competition.
Pengembangan Sistem Operasi Debian 12 Dengan Kemampuan Pembelajaran Interaksi Pengguna Untuk Peningkatan User Experience
Rahman, Rakhmadi;
Muhammad Arham Arsyad;
Stepani
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 3 No. 3 (2024): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual
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DOI: 10.55826/jtmit.v3i3.467
Sistem operasi (OS) adalah perangkat lunak sistem yang mengelola sumber daya perangkat keras dan perangkat lunak serta bertindak sebagai penghubung bagi program komputer. Debian, pertama kali dikembangkan oleh Ian Murdock pada tahun 1993, merupakan OS berbasis paket perangkat lunak bebas dan terbuka. Penelitian ini berfokus pada pengembangan Debian 12 dengan kemampuan pembelajaran dari interaksi pengguna untuk meningkatkan pengalaman pengguna (user experience). Metode yang digunakan mencakup pengumpulan data log sistem secara real-time, penerapan algoritma Decision Tree untuk analisis data, serta evaluasi performa melalui pengujian sistem. Data log interaksi pengguna dikumpulkan, diproses, dan dianalisis menggunakan model pembelajaran mesin untuk memprediksi serta menyesuaikan pengaturan sistem secara dinamis. Hasil awal menunjukkan bahwa sistem ini memiliki potensi besar dalam meningkatkan pengalaman pengguna secara signifikan dan dapat diterapkan di berbagai platform dan perangkat lunak lain, membuka peluang bagi inovasi dalam pengembangan sistem adaptif yang responsif terhadap kebutuhan pengguna.
Development of an Operating System Supporting Intelligent Predictions and Recommendations
Rahman, Rakhmadi;
Apriliyani, Alya Wulan;
Ibrahim, Siti Nur Azizah
ITEJ (Information Technology Engineering Journals) Vol 9 No 1 (2024): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v9i2.127
This Study discusses the development of an intelligent operating system feature that supports smart prediction and recommendations using artificial intelligence (AI) capabilities within the Linux operating system. The study aims to integrate AI-driven features into Linux to enhance user productivity and efficiency by providing relevant application recommendations based on user behavior patterns. The implementation involves data collection of application usage, training machine learning models for application recommendations, and integrating these features into the Linux environment. The project utilizes Python for scripting, employing libraries such as psutil, pandas, scikit-learn, and joblib for data handling and machine learning tasks. The results demonstrate successful implementation of the AI-driven recommendation system, enhancing user interaction and productivity within the Linux operating system