Rahmaniar Rahmaniar
Universitas Negeri Makassar, Indonesia

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Application of Machine Learning for Student Data Classification: Penerapan Machine Learning untuk Klasifikasi Data Siswa Jumriati Jumriati; Rahmaniar Rahmaniar
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 1 No. 1 (2025): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Abstract

Student data classification plays an important role in academic analysis, helping schools find patterns, organize student information, and guide decisions about how well students are doing and how to improve programs. As more educational data becomes available, machine learning offers better and more reliable ways to understand student traits and predict how they will perform in learning. This study uses machine learning to sort student data based on key academic and personal details. The research process covers cleaning the data, choosing the best features to use, and testing three different algorithms: Naïve Bayes, K-Nearest Neighbors (KNN), and Decision Tree. The effectiveness of these methods is measured using accuracy, precision, recall, and F1-score. The results show that the Decision Tree method is the most accurate at sorting student data, followed by KNN and Naïve Bayes. These results highlight how useful machine learning can be in the field of educational data mining, especially for keeping track of student progress, spotting students who might struggle early on, and helping schools make better decisions. This study offers real-world advice for schools looking to use data more effectively in managing students and planning educational programs.
The Evolution of Distributed Systems: A Systematic Literature Review from Centralized Computing to Cloud, Edge, and Fog Paradigms: Evolusi Sistem Terdistribusi: Tinjauan Literatur Sistematis dari Komputasi Terpusat hingga Paradigma Cloud, Edge, dan Fog Nur Fitriyah Ramadhani; Rahmaniar Rahmaniar
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 2 No. 1 (2026): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Distributed systems form a fundamental foundation for many modern digital services, including Cloud Computing, the Internet of Things (IoT), and data-driven intelligent applications. Their development originated from Centralized Computing models based on mainframe systems and gradually evolved into distributed architectures as networking technologies and hardware capabilities advanced. This study aims to examine the evolution of distributed systems and identify emerging trends and challenges using a Systematic Literature Review (SLR) approach based on selected textbooks and scientific publications. The results indicate that distributed systems have progressed toward modern architectures integrating Cloud, Edge, and Fog Computing within a distributed Computing Continuum. However, several challenges remain significant, including data consistency, heterogeneous resource management, security, and scalability in large-scale distributed infrastructures.Top of Form
Comparative Analysis of Network Architecture: Client-Server Versus Peer-to-Peer: Analisis Perbandingan Arsitektur Jaringan: Client-Server Versus Peer-to-Peer Afdal Musari; Rahmaniar Rahmaniar
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 2 No. 1 (2026): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Network architecture is the foundation of all modern digital communication, with the client-server and peer-to-peer (P2P) models being two dominant paradigms. This study aims to present an in-depth comparative analysis of these two architectures. Using a qualitative literature study method with sources from fundamental textbooks, international journals, and conference proceedings from the last ten years, this article examines the fundamental differences in topology, resource management, scalability, performance, and security. The main findings indicate that the client-server model excels in environments that demand centralized control, data consistency, and manageable security, making it ideal for business and financial applications. In contrast, the P2P architecture offers superior scalability, resilience, and cost-efficiency for large-scale decentralized applications such as file-sharing platforms and blockchain technology. The security analysis reveals that while P2P is vulnerable to specific attacks like Sybil and poisoning, the client-server model faces the risk of a single point of failure and a concentrated target for DDoS attacks. In conclusion, neither architecture is universally superior; the optimal choice is highly dependent on the specific goals, technical requirements, and threat model of the application being developed.
A Systematic Review of Security Challenges in Distributed Cloud Computing Based on the CIA Triad: Tinjauan Sistematis Tantangan Keamanan pada Cloud Computing Terdistribusi Berbasis CIA Triad Dian Puspita Sari Andri; Rahmaniar Rahmaniar
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 2 No. 1 (2026): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Abstract

This study aims to identify and classify security challenges in distributed cloud computing systems based on the aspects of Confidentiality, Integrity, and Availability (CIA). The research employs a Systematic Literature Review with a narrative analysis of articles published between 2021 and 2026, resulting in 15 selected studies through a structured inclusion and exclusion process. The findings indicate that confidentiality challenges include data breaches, unauthorized access, and data leakage, primarily driven by multi-tenancy and weak access control. In terms of integrity, the main risks involve data manipulation, misconfiguration, and limitations in verification mechanisms within distributed systems. Meanwhile, availability is threatened by Distributed Denial of Service (DDoS) attacks, node failures, and architectural complexity. Various security methods have been proposed, including encryption, access control, intrusion detection systems, as well as advanced approaches such as risk assessment, Trusted Execution Environments, Information Flow Tracking, and Zero Trust Architecture. This study highlights that cloud security is complex and multidimensional, requiring an integrated multi-layered security approach. The CIA model remains a fundamental foundation, supported by adaptive solutions to address the evolving dynamics of distributed systems.