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WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Published by Politeknik Wahdah Islamiyah Makassar
ISSN : -     EISSN : 31232752     DOI : -
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WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan is published by the Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar. The journal serves as an academic platform for researchers, lecturers, students, and practitioners in the field of computer and network technology to publish research findings, conceptual studies, and applied technology research. WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan focuses on the development and application of computer engineering, networking systems, cybersecurity, Internet of Things (IoT), embedded systems, cloud computing, artificial intelligence (AI), big data analytics, and digital technologies that enhance innovation and operational efficiency across industries. The journal aims to foster academic and professional collaboration, strengthen applied research competencies, and contribute to the scientific advancement of technology that addresses the needs of society and modern industry.
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Articles 10 Documents
 1 
Public Sentiment Analysis on OJK Regulations for Online Lending Using Natural Language Processing: Analisis Sentimen Masyarakat terhadap Peraturan OJK Tentang Pinjaman Online dengan Menggunakan Natural Language Processing Jumriati Jumriati
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

Financial technology, or fintech, has quickly changed how lending works in Indonesia. It has made it easier for people to get money, but it has also brought up problems like illegal loans, unfair debt collection, and high interest rates. To deal with these issues, the Financial Services Authority, known as OJK, has put in place new rules to better protect consumers and improve how the industry is managed. Despite these efforts, people have different feelings about the rules, and most of their opinions are shared on social media. This study looks at how the public feels about OJK's rules on online lending using a method called Natural Language Processing, or NLP. The research collects social media posts through web scraping, uses Naïve Bayes and Support Vector Machine to classify sentiments, and applies Latent Dirichlet Allocation to find the main topics people are discussing. The study expects to find out how people feel overall, which issues are most talked about, and what influences positive or negative opinions. This research adds to academic discussions by offering a new way to analyze public sentiment focused on regulations, and it also helps policymakers create better rules for fintech lending in Indonesia.
Analisis Pengalaman Pengguna Website E-Learning Menggunakan Usability Testing dan User Experience Questionnaire: Analysis of E-Learning Website User Experience Using Usability Testing and User Experience Questionnaire Irhamullah Irhamullah
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

Digital technology has had a transformational impact on various fields, including education, through the implementation of E-learning. In the context of education, E-learning plays an important role in supporting a flexible and effective learning process. However, optimizing the use of E-learning still faces challenges, one of which is the level of user satisfaction. This factor is crucial, as a good user experience can improve the effectiveness of learning as well as user engagement. This study aims to evaluate the user experience of the E-learning website Hasdemy.com through the usability testing and user experience questionnaire (UEQ) approach. This methodology is designed to provide insights to developers and management to improve the quality of the platform. The results of this study are that the highest average score of the UEQ questionnaire scale on the E-learning website Hasdemy.com is the Dependability scale with an average value of 0.415, then Attractiveness of -0.060, Perspicuity scale of -0.090, Stimulation scale of -0.125, Novelty scale of -0.190, and Efficiency scale of -0.255. The results of the usability testing using the SUS method were obtained with a result of 47.60 for the average score on the SUS score of the E-learning website Hasdemy.com. Overall, it can be concluded that the condition of the E-Learning website Hasdemy.com be in the Percentile Range of 40-50 with a grade of D-, then has the Adjective OK, Acceptable marginal, and passive NPS. Therefore, E-learning websites Hasdemy.com need various improvements to improve the quality of the website from the user's perspective. This research makes an important contribution to the development of more effective, relevant, and user-centered E-learning in the era of digital transformation of education.
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.
Evaluasi Kepuasan Pengguna Learning Management System Berbasis Web pada Pembelajaran Jarak Jauh: Evaluation of User Satisfaction with a Web-Based Learning Management System in Distance Learning Azwar Azwar
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

This study aims to empirically examine the influence of system quality and information quality on user satisfaction with a web-based Learning Management System (LMS) in a distance learning environment. An explanatory research design was employed, and data were collected through an online questionnaire administered to 100 active users of KLC2. The study includes system quality and information quality as exogenous variables, and user satisfaction as the endogenous variable. Data were analyzed using SEM-PLS with SmartPLS 4 to assess path coefficients, t-statistics, and the significance of the structural relationships. The findings reveal that system quality exerts a positive and highly significant effect on user satisfaction (path coefficient = 0.965; t-statistic = 14.727; p < 0.001), indicating that improvements in the technical performance, usability, and reliability of the LMS strongly enhance user satisfaction. Conversely, information quality demonstrates a negative yet statistically significant effect on user satisfaction (path coefficient = −0.273; t-statistic = 2.897; p = 0.004). This result suggests a potential misalignment between the learning materials provided and the expectations or needs of learners, despite the materials being relatively easy to understand. These findings carry important implications for LMS administrators and system developers. Efforts to improve user satisfaction should prioritize enhancements to system quality, while ensuring that learning content is contextually relevant, appropriately designed, and responsive to users’ learning needs. Future research may expand the sampling frame, integrate mixed-method approaches to capture deeper insights, and incorporate more comprehensive indicators of information quality to strengthen explanatory power.
Intelligent Smart Cooking: Predictive Cooking Time Model Using Machine Learning and IoT: Intelligent Smart Cooking: Model Prediksi Cooking Time Menggunakan Machine Learning dan IoT Jumriati Jumriati
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

Smart cooking systems have gained significant attention as part of the growing smart home ecosystem, yet most existing solutions rely on static, rule-based thresholds that lack adaptability to variations in food type, weight, and cooking conditions. This study proposes an Intelligent Smart Cooking system that integrates Internet of Things (IoT) sensing with a machine learning–based predictive model to estimate cooking time in real time. Temperature data were collected from 180 cooking sessions using a DS18B20 sensor, while MQ-series gas sensors supported safety monitoring. A dataset containing temperature curves, heating rates, food mass, and water volume was constructed and used to train three regression models: Multiple Linear Regression, Support Vector Regression, and Random Forest Regression. Experimental results show that Random Forest achieved the best performance with an MAE of 18.93 seconds and an R² of 0.954, demonstrating strong capability in capturing nonlinear cooking behavior patterns. The trained model was deployed into the IoT system to enable predictive cooking automation, real-time flame control through a servo motor, and hazard prevention via gas detection. User evaluations also indicated high usability and reliability of the system. The findings highlight the potential of combining IoT and machine learning to improve accuracy, safety, and efficiency in next-generation smart kitchen technologies.
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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Abstract

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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Abstract

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.
The Development of Distributed Systems in Supporting Scalability and Availability of Modern Cloud Computing-Based Digital Services: Perkembangan Sistem Terdistribusi dalam Mendukung Skalabilitas dan Ketersediaan Layanan Digital Modern Berbasis Cloud Computing Siti Aisyah Empo; 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 examine the development of distributed systems in supporting the scalability and availability of modern digital services. The rapid growth of digital services across various sectors requires information systems that can handle increasing workloads while maintaining continuous service availability. Distributed systems have emerged as a key architectural approach to address these demands through workload distribution, efficient resource management, and system resilience. This research employs a qualitative method using a literature review approach. Data were collected from textbooks, indexed national and international journal articles, and scientific conference proceedings related to distributed systems, cloud computing, and microservices architecture. The collected literature was analyzed descriptively and comparatively to identify key concepts, architectural models, and research findings related to scalability and service availability. The results indicate that distributed systems have evolved significantly with the adoption of cloud computing and microservices architecture. These technologies support horizontal scalability, enhance system flexibility, and improve service availability through redundancy and data replication mechanisms. The study concludes that distributed systems play a crucial role as the foundation of modern digital services by enabling scalable, reliable, and sustainable digital infrastructures.
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.
The Evolution of Distributed Systems: Architectural Developments, Technologies, and Modern Computing Challenges: Evolusi Sistem Terdistribusi: Perkembangan Arsitektur, Teknologi, dan Tantangan Komputasi Modern Geby Putri Maharani; 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 examines the evolution of distributed systems by analyzing architectural changes, technological transitions, and emerging challenges in modern computing environments. The research applies a Systematic Literature Review (SLR) approach to ensure a structured and transparent review process. Literature was collected from two main academic databases, namely Scopus and Google Scholar, using keywords such as “distributed systems evolution”, “cloud computing architecture”, “service-oriented architecture”, “microservices”, and “cloud-native systems”. The initial search identified 50 relevant publications published between 2015 and 2025. After applying inclusion and exclusion criteria based on relevance, publication year, and scientific credibility, 25 articles were selected for further analysis. The selected studies were synthesized using thematic analysis to identify recurring themes, development phases, and major challenges in distributed systems. The findings reveal that distributed systems have evolved from client–server models to service-oriented architecture (SOA), followed by cloud computing and cloud-native microservices. This transformation is mainly driven by the increasing need for scalability, flexibility, fault tolerance, and real-time processing. However, the transition toward highly modular and decentralized systems also introduces new challenges, particularly in system complexity, security, data consistency, and operational management.

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