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While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.

This study was motivated by the need for madrasahs to adapt to technological developments, particularly in document management, which was previously done manually. The purpose of this study was to describe the role of administration in digital archive management at MTsN 3 Jember, identify the obstacles that arose, and explain the efforts made to overcome these obstacles. The research used a descriptive qualitative approach with data collection through interviews, observation, and documentation. The results showed that administration played an important role as the main manager of digital documents through the use of applications such as SIMPEG, TTE, and SAKTI, as well as the use of cloud-based storage to maintain the security and ease of access to archives. The obstacles faced include the limited digital capabilities of employees, technical disruptions to applications, and suboptimal technological infrastructure. However, various efforts have been made, including performing regular backups, improving the organization of digital documents, and enhancing staff capabilities through independent learning. This study confirms that the success of digital archive management requires synergy between human resource readiness, technological support, and managerial policies that support the transformation of madrasah administration.

In the modern computing era, servers face significant challenges in data storage due to hardware failures, cyber attacks, or human errors. The problem highlighted focuses on the impact of file systems on three critical aspects: data integrity (accuracy and consistency of data without corruption), data recovery (the ability to restore data after a failure), and failure resilience (fault tolerance, such as redundancy and journaling to prevent downtime). The main issue is that traditional file systems like FAT32 or NTFS are often susceptible to fragmentation, metadata loss, or long recovery times, which can lead to data loss of up to 20-30% on enterprise servers, especially in high-traffic environments like cloud computing.A simple problem-solving process is conducted through a straightforward comparative analysis approach: (1) A literature review of popular file systems (ext4, ZFS, Btrfs); (2) Failure simulations using tools like fsck and stress testing on virtual servers (e.g., via KVM or Docker); and (3) Measuring performance metrics with benchmarking tools like Bonnie++ for I/O throughput, recovery time, and error rates. This process is designed to be simple, requiring only a virtual lab setup without expensive hardware, and is analyzed quantitatively with descriptive statistics.The solution to the problem indicates that advanced file systems like ZFS or Btrfs provide significant improvements: data integrity is up to 95% more secure through automatic checksums, data recovery is achieved in minutes through snapshots and RAID integration, and failure resilience is higher with copy-on-write features. The main recommendation is to migrate to journaling-based file systems for servers, combined with automated backups, which can reduce the risk of downtime by up to 50%. This research provides practical guidance for system administrators to enhance server reliability without excessive additional costs.

       The rapid development of information technology has brought significant changes in the management of administrative processes in the field of education, including the process of student learning assessment. This study aims to design and develop a cloud-based report card application to assist Inpres Bhoanawa 1 Elementary School in managing academic data more effectively and securely. The system was developed using the PHP Native programming language and MySQL database, with a waterfall system development approach. The application has three main levels of access: school administrators, homeroom teachers, and subject teachers. School administrators are responsible for entering student data and granting access to homeroom teachers; homeroom teachers are responsible for entering learning objectives, student grades, and printing report cards; while subject teachers are responsible for entering formative and summative assessments as well as learning objectives. Cloud-based storage was chosen to ensure data security and availability, allowing access anytime and from any device connected to the internet.       The test results show that the system functions properly according to the design, features a simple interface, and is easy to operate even by users with limited technological skills. The implementation of this system can speed up the report card creation process, reduce the risk of data loss, and minimize paper usage, making it more environmentally friendly. In conclusion, this cloud-based report card application serves as a practical solution for elementary schools in managing student assessments while improving the efficiency of educational administration. Keywords: report card application, cloud computing, PHP, MySQL

The waste detection application is a solution to identify and classify waste. With the increasing waste problem, this application aims to assist in classifying waste into organic, inorganic, and unknown categories. This research implements a waste detection application that runs on smartphones with the Android operating system. The application is the result of a capstone project from the Bangkit program in the MSIB batch 6. The development of this application is divided into several parts, namely backend, frontend, and deployment. The author focuses on the deployment process of the application using Google Cloud Platform. The Google Cloud Platform infrastructure was chosen due to its scalability and flexibility. The services utilized include Google Compute Engine (GCE), Google Virtual Private Cloud (VPC), and Google Cloud Storage (GCS). The deployment process involves creating a new project in Google Cloud, configuring virtual machines, and setting up Google Cloud Storage. The server VM configuration includes the installation of SQL Server (MariaDB), deployment of the Machine Learning API, and Backend API. Testing was carried out on the Machine Learning API using Postman and the Backend API through a browser. The results show that Google Cloud Platform can be implemented as a cloud computing infrastructure for waste detection applications. The Machine Learning API is able to read objects in the form of images sent by users.

Dr. Soedirman Kebumen Regional General Hospital has implemented PACS to replace traditional film, but limitations in IT infrastructure, RME integration, and human resource readiness require an integrated implementation model that combines cloud-hybrid, DICOM/HL7 with SSO, continuous training, and managerial support. To evaluate the implementation of the PACS system in the Radiology Department of Dr. Soedirman General Hospital in Kebumen and to analyze the factors that support and hinder the effectiveness of the PACS system in improving the quality of radiology services. The research used a qualitative approach with an interactive model. Data collection was conducted through in-depth interviews, Focus Group Discussions (FGD), direct observation, and documentation. The data obtained were analyzed using ATLAS.ti software to explain the PACS implementation and its impact on the effectiveness of radiology services. The PACS implementation improved the quality of radiology services by accelerating access to medical images and enhancing workflow efficiency. Some challenges, such as system downtime, integration with other systems, and technical limitations, need to be addressed. Integration of artificial intelligence (AI) and telemedicine technologies needs to be enhanced to achieve optimal radiology services. Factors supporting successful implementation include the adoption of advanced technologies (cloud computing and AI), adequate infrastructure, technical support from the IT team, and strong managerial commitment.  Barriers to success include imperfect system integration, power outages, downtime, storage capacity limitations, and a shortage of trained human resources. Proposed implementation models include improving PACS system infrastructure, developing ongoing training for staff, improving PACS system integration with other hospital systems, and improving interdepartmental communication to streamline workflows and reduce obstacles in the diagnostic process.

The digitalization of Micro, Small, and Medium Enterprises (MSMEs) has become a crucial strategy for enhancing competitiveness in the digital economy era. This study examines the utilization of digital technology by MSMEs in Bandung City, as well as the challenges and opportunities faced during the digital transformation process. Employing a literature review approach and the Systematic Literature Review (SLR) method, this research identifies the impact of the digital economy on MSMEs, including the use of cloud computing for data storage and analytics to understand consumer behavior. Despite challenges such as digital literacy gaps and budget constraints, support from the government through initiatives like the UMKM Go Digital Movement and Bandung Smart City has accelerated digitalization efforts. These programs provide significant training and assistance, with over 5,000 MSMEs receiving digital training and reporting an average revenue increase of 30%. The study concludes that collaboration among government, academia, and the private sector is essential to ensure the sustainability of MSME digital transformation. Policy recommendations are also suggested to support MSMEs in adopting digital technology more effectively

Perkembangan teknologi informasi yang pesat telah mendorong adopsi layanan cloud storage sebagai solusi utama dalam penyimpanan dan pengelolaan data digital. Kemudahan akses, skalabilitas, dan efisiensi biaya menjadi alasan utama banyak individu maupun organisasi beralih ke layanan ini. Studi ini bertujuan untuk melakukan analisis perbandingan antara dua layanan cloud storage populer, yaitu Google Drive sebagai layanan komersial berbasis cloud publik, dan Nextcloud Server sebagai solusi open-source berbasis self-hosted. Penelitian ini menggunakan metode eksperimen kuantitatif deskriptif, dengan fokus pada pengujian parameter teknis seperti kecepatan unggah dan unduh, efisiensi penggunaan bandwidth, kestabilan koneksi, serta estimasi biaya operasional tahunan. Pengujian dilakukan dalam tiga skenario akses: jaringan lokal (intranet), akses publik melalui layanan Cloudflare, dan koneksi ke cloud komersial. Hasil pengujian menunjukkan bahwa Google Drive unggul dalam performa kecepatan dan kemudahan penggunaan, didukung oleh infrastruktur global dan optimisasi jaringan. Sementara itu, Nextcloud lebih menonjol dari sisi fleksibilitas konfigurasi, kontrol data secara penuh, serta efisiensi biaya jangka panjang. Berdasarkan analisis Total Cost of Ownership (TCO), Nextcloud menjadi pilihan ekonomis untuk penggunaan jangka panjang, terutama bagi institusi pendidikan dan organisasi dengan infrastruktur lokal. Penelitian ini diharapkan dapat menjadi referensi bagi pengguna dalam memilih layanan cloud storage yang paling sesuai dari sisi teknis, ekonomi, maupun kebijakan privasi data.

Letter management is one of the important aspects in supporting the efficiency of academic administration in schools. This study aims to explore and understand how letter management at SMA Al-Hidayah Medan can be optimized to improve the efficiency of academic administration. The study used a descriptive qualitative approach with data collection through direct observation and interviews with parties involved in the correspondence administration process. The research findings show that SMA Al-Hidayah Medan implements a combined letter management system, namely combining manual and digital management. Incoming and outgoing letters are recorded manually in the agenda book and expedition book, and archived digitally in the school computer system. However, the system used is still limited and has not been fully integrated. The obstacles found include limited human resources who have not fully mastered administration and information technology, weak document supervision, and archiving of physical letters that have not been systematically arranged. In addition, digital archiving which is still conventional without automatic categorization makes the archive search process less efficient. As an optimization effort, the school has implemented a semi-digital system, provided training for administrative staff, compiled letter classification codes, compiled SOPs for letter management, and utilized cloud storage and digitization of old archives. These steps demonstrate institutional awareness to build a more efficient and modern administration system. In conclusion, effective letter management plays a very important role in supporting academic administration, but requires continuous coaching, better digital integration, and strong managerial commitment.

File systems are key operating system components because they store and retrieve files as needed. Traditional hierarchical file systems no longer suit current users’ expectations in organizing extensive collections of files for easy retrieval based on intrinsic and user-defined properties. The number of files in users’ collections is growing substantially, partly because of the ease with which consumer devices capture information. With the enormous capacity of contemporary storage devices and the rising trend of users storing their data in the cloud, they only fuel the number of files needing to be managed. We suggest that current file systems require an enhanced technique of data organization and access so that users can properly handle these ever-increasing data collections. File systems are key operating system components because they store and retrieve files as needed. This study offers improvements to the conventional Hierarchical File System to improve file organization and retrieval through built-in querying capabilities and support filesystem-level operations that execute significant amounts of metadata updates. This is accomplished using attributes (name-value pairs) in a file collection hierarchy. A series of improvements to the HFS introduce the “AttFS” file system. These improvements include using attributes rather than names, logical collections rather than directories, and introducing a query language to the API. We assess the expressive capacity of the resulting model, demonstrate that it solves the relevant shortcomings of traditional file systems in this space, and compare our new approach to those provided by others and our earlier work. We conclude that attributes are better suited than tags to overcome traditional HFS shortcomings.

The main focus of this research is to examine data storage efficiency methods, algorithm scheduling, and resource usage optimization techniques. This research uses literature study methods and simulation experiments to analyze system performance. The research results show that storage management methods based on deduplication and data compression have significant efficiency in reducing storage space requirements. The implications of this research include improving cloud system performance and reducing operational costs.