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bit-Tech
Published by Komunitas Dosen Indonesia
ISSN : 2622271X     EISSN : 26222728     DOI : https://doi.org/10.32877/bt
Core Subject : Science,
Computer Science & IT
The bit-Tech journal was developed with the aim of accommodating the scientific work of Lecturers and Students, both the results of scientific papers and research in the form of literature study results. It is hoped that this journal will increase the knowledge and exchange of scientific information, especially scientific papers and research that will be useful as a reference for the progress of the State together.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 114 Documents
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Search results for , issue "Vol. 8 No. 1 (2025): bit-Tech" : 114 Documents clear
Classification of Children's Numerical Intelligence Levels Based on Mathematics Learning Activities Using Machine Learning Suryantiko, Sandy; Mulyadi, Gilang Adriana; Ferawati, Ferawati
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2646

Abstract

Numerical ability is a critical aspect of education that impacts both academic achievement and the development of logical thinking skills. However, in Islamic boarding schools (pondok pesantren), the teaching of mathematics often encounters limitations such as a lack of technological integration and diverse learning resources. This study aims to assess students' numerical intelligence levels based on their mathematics learning activities using machine learning techniques, specifically Decision Tree and Random Forest algorithms. Data was collected through questionnaires that captured key variables such as study duration, frequency of practice, learning methods, class engagement, and the speed of problem-solving. After data preprocessing, both models were evaluated through confusion matrices and cross-validation to determine their classification accuracy and stability. The findings revealed that the Decision Tree model achieved an accuracy rate of 86%, while the Random Forest model surpassed it with a 92% accuracy rate, showing more consistent performance. This study highlights the potential of machine learning to enhance educational outcomes, particularly in pesantren settings, by offering deeper insights into students' learning patterns. Beyond classification accuracy, machine learning helps educators identify key factors influencing students' numerical intelligence. The Random Forest model, in particular, revealed that variables such as practice frequency and student engagement are significant predictors of numerical intelligence levels. This information can be used to develop more personalized and effective teaching strategies aimed at improving students' mathematical skills.
UI/UX Design of a Mobile-Based English Tutoring LMS Application Using the Double Diamond Method Hanim, Afrida Lailiyah; Abdul Rezha Efrat; Prasasti Karunia Farista
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2655

Abstract

Digital learning platforms have become increasingly important in supporting the teaching and learning process, including in English tutoring services. However, the platform currently used by Madani English House still faces several challenges, such as the absence of gamification features, limited progress tracking, and insufficient learning management capabilities. These limitations reduce student engagement and hinder effective monitoring of learning outcomes. This study aims to design the UI/UX of a mobile-based Learning Management System (LMS) specifically for English tutoring at Madani English House using the Double Diamond approach. This method was selected for its structured and iterative nature, which enables in-depth understanding of user needs and continuous refinement of the design. Through its four phases—Discover, Define, Develop, and Deliver—the Double Diamond approach guided the process from identifying user pain points to translating them into targeted design solutions that directly address the limitations of the existing system. Data collection methods included interviews with students, development of empathy maps, and creation of user personas, which revealed key user expectations such as interactive features, visual clarity, and performance tracking. These insights informed the design of gamified elements, intuitive navigation, and clear progress indicators tailored to enhance both engagement and learning outcomes. Usability evaluation was conducted using the System Usability Scale (SUS), resulting in a score of 88.5, categorized as “Excellent.” This demonstrates that the Double Diamond method effectively contributed to a user-centered LMS design that is functional, engaging, and aligned with the needs of the English tutoring context at Madani English House.
Performance Comparison of NGINX, Apache, and Lighttpd Using WRK on a Debian Wicoksono, Wahyu; Herman Azzra Mustaqhim; Panchadria Pramana Anwas; Laela Neng Linda Badratul
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2661

Abstract

A web server plays a crucial role in delivering HTTP-based services that are essential for web applications and information systems. In environments with limited resources, such as Virtual Private Servers (VPS), selecting the most efficient web server becomes a key consideration to ensure system stability and responsiveness. This study addresses the performance comparison of three widely used web servers—Apache, NGINX, and Lighttpd—under various load conditions, with the aim of identifying which server provides the best performance in constrained environments. The experimental method was applied using the WRK benchmarking tool, which simulates concurrent user connections under four scenarios combining different user counts (50 and 100 users) and durations (1 and 3 seconds). The performance metrics evaluated include latency, requests per second (RPS), and transfer rate. Results showed that Apache consistently offered the best overall performance with low latency and high RPS, making it a reliable and stable option. NGINX demonstrated strong performance in handling concurrent connections and showed the highest transfer rate, although it requires more complex configuration. Lighttpd, while lightweight and efficient in resource usage, exhibited weaker performance in high-load scenarios. This research contributes to the current body of literature by offering up-to-date and practical benchmarking data. The findings serve as a useful reference for developers and system administrators in selecting a web server based on specific operational needs, resource availability, and performance priorities in modern VPS-based infrastructures.
Evaluation of the Quality Satisfaction the MELISA Information System with the WebQual 4.0 Method Oktaimanuella, Revinindia; Arista Pratama; Asif Faroqi
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2671

Abstract

The integration of information technology in higher education is essential to support academic and administrative activities. The MELISA Information System at Surabaya State University plays a vital role in meeting student needs. Periodic evaluation of user satisfaction is necessary to ensure the quality and effectiveness of the service, as poor system quality can hinder learning and productivity. This study aims to analyze and evaluate the quality of the MELISA Information System at Surabaya State University and its impact on student satisfaction. Specifically, this research seeks to determine how WebQual 4.0's Usability Quality, Information Quality, and Service Interaction Quality dimensions influence user satisfaction. Using a quantitative descriptive survey method, data was collected via online questionnaires from Surabaya State University students who use MELISA. System quality was measured using three dimensions of WebQual 4.0: Usability Quality, Information Quality, and Service Interaction Quality. Data analysis involved descriptive statistics and multiple linear regression to test the effect of quality dimensions on student satisfaction. The results show that Usability Quality, Information Quality, and Service Interaction Quality significantly affect student satisfaction with MELISA. The majority of respondents gave a positive assessment, although some improvements are still needed. Information Quality was found to be the most dominant influence on student satisfaction. The quality of the MELISA Information System, based on WebQual 4.0, is crucial for student satisfaction at Surabaya State University. To increase user satisfaction, the university must continue to improve the usability, accuracy of information, and quality of service interactions in the MELISA system.
Blended Learning in Higher Education for Informatics Engineering Education: A Bibliometric and Systematic Literature Review Permata Saputri, Renny; Jalinus, Nizwardi; Abdullah, Rijal; Ridwan; Fransisca, Monica
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2673

Abstract

The evolution of digital technology has prompted a significant transformation in higher education, particularly within the Informatics Engineering curriculum. In this landscape, blended learning has surfaced as a vital strategic method, combining traditional face-to-face teaching with online learning to boost flexibility, effectiveness, and student engagement. This research utilizes a Systematic Literature Review (SLR) and bibliometric analysis to map the trends and research focus of blended learning. Data was gathered from Google Scholar for publications from 2021 onward, using specific keywords. An initial pool of 1,850 articles was refined through a PRISMA-based screening process, resulting in 33 highly relevant articles for detailed analysis. The findings show that publication activity was highest in 2021, with major contributions from the United Kingdom, Indonesia, and the United States. Key themes identified in the literature include the use of Learning Management Systems (LMS), the flipped classroom model, and project-based learning. The evidence consistently suggests that blended learning improves educational outcomes, increases student motivation, and fosters essential 21st-century skills. However, challenges such as insufficient infrastructure and the need for enhanced educator competency remain. This paper recommends strengthening institutional policies and providing faculty training to support the successful and sustainable implementation of blended learning, especially in technology and vocational education.
Forecasting Crab Raw Material Inventory in Seafood Culinary Business Using SARIMA and Prophet Methods Sanyoko, Carisca Rizky; Rizka Hadiwiyanti; Seftin Fitri Ana Wati
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2676

Abstract

Seafood based culinary businesses face significant challenges in inventory management due to fluctuating and unpredictable customer demand. Inaccurate forecasting can lead to either excess stock, resulting in waste and increased storage costs, or stock shortages, which disrupt production and reduce customer satisfaction. Among the various raw materials used, crab is the most critical, accounting for 80.6% of total raw material demand, making it essential to forecast its demand accurately to maintain operational efficiency and avoid disruptions. This study addresses the inventory problem by applying two time series forecasting methods SARIMA and Prophet to predict weekly crab demand. The performance of both models was evaluated using RMSE and MAE to assess the accuracy and reliability of their predictions over time. The SARIMA model with parameters (2,1,10)(0,1,2)[12] achieved the best forecasting performance, with an RMSE of 1.32752 and MAE of 1.24207, clearly outperforming the Prophet model, which recorded an RMSE of 1.4623 and MAE of 1.3506. These results demonstrate that SARIMA is more effective in capturing seasonal patterns and demand trends in crab usage data. In conclusion, the SARIMA model offers more precise and reliable forecasts, making it a more suitable tool for supporting raw material inventory decision-making in seafood culinary businesses, particularly when dealing with high-demand ingredients such as crab.
Website-Based Sales Transaction Data Monitoring Information System Risandi, Arfika Putri; Hasanah, Herliyani; Oktaviani, Intan
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2679

Abstract

Micro, Small, and Medium Enterprises (MSMEs) contribute significantly to the Indonesian economy, yet many still rely on manual transaction recording using Excel, which often results in errors, delays in reporting, and difficulties in accessing historical sales data. These limitations hinder effective decision-making and reduce operational efficiency. In response to these challenges, this study aims to develop a website-based sales transaction data monitoring information system that enables real-time monitoring and structured data management for various user roles: admin, reseller, and leader. The system was developed using the Rapid Application Development (RAD) method, which emphasizes fast prototyping and user feedback to ensure functionality meets actual needs. Features include automated Excel data uploads, interactive dashboards, and reseller performance visualizations tailored to user roles. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT). The results indicate that all system functions operated according to design specifications and received positive feedback from users regarding usability and effectiveness. The implementation of this system successfully addresses the common problems faced by MSMEs in transaction management by improving accuracy, speeding up reporting, and enhancing monitoring transparency. In conclusion, this system offers a practical solution that is ready to be adopted by MSMEs with similar transaction recording issues, supporting digital transformation and operational efficiency in the MSME sector.
Evaluation of Information Security Management Capability Level with COBIT 5 Dita Ayu; Asif Faroqi; Anita Wulansari
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2682

Abstract

Information security is a crucial aspect of information technology management, especially in government institutions such as the Department of Communication and Informatics (DISKOMINFO), which often faces challenges such as cyberattacks, lack of formal documentation, and limited resources in managing risks and securing data. These challenges hinder the organization’s ability to protect sensitive information and maintain public trust. This study evaluates the maturity level of information security governance at DISKOMINFO of Sampang Regency using the COBIT 5 framework, focusing on three domains: APO12 (Manage Risk), APO13 (Manage Security), and DSS05 (Manage Security Services). The method used is a case study with a descriptive qualitative approach through interviews and documentation. The results show that all three processes are at Level 1 (Performed Process), with 40.34% in the Partially Achieved category for APO12, 84.60% in the Largely Achieved category for APO13, and 57.23% in the Largely Achieved category for DSS05, where processes are carried out but not formally documented or standardized. There is a lack of monitoring and continuous improvement, making the governance reactive rather than proactive. Improvements are needed through development of policies, formal procedures, and more organized, sustainable security controls. Increasing employee awareness and allocating resources for information security are also critical. This research provides novelty by evaluating three COBIT 5 domains (APO12, APO13, DSS05) in a local government context, which has rarely been done. The findings offer a comprehensive maturity mapping as a strategic reference for improving information security governance in local government institutions.
Development of a Web-Based Interactive E-Learning Platform for a Vocational High School Alfath, Qothrun Nada; Ruslan Rizki Hidayat; Zainul Hakim; Sri Rahayu
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2683

Abstract

Digital transformation is essential in modern education, particularly at SMK Bina Am Ma’mur, where traditional learning methods, such as printed materials and the WhatsApp application, are still primarily used. These conventional methods limit flexibility, interactivity, and student engagement, which are crucial for effective learning. To address these challenges, this study develops an interactive web-based e-learning platform designed to enhance the learning experience at SMK Bina Am Ma’mur. The research employs a Research & Development (R&D) methodology, guided by the ADDIE model, which includes five phases: Analyze, Design, Development, Implementation, and Evaluation. Data were collected through literature reviews, observations, interviews with teachers, expert validation, and student feedback, followed by descriptive analysis to interpret the results. The validation process revealed that the developed platform is highly feasible for educational use. Media experts rated it 95% suitable, while subject matter experts provided a 91% rating. Additionally, the platform received an 89% approval rating from students, indicating its effectiveness in improving material comprehension and engagement. These findings suggest that the interactive e-learning platform is a highly effective tool for enhancing the learning process at SMK Bina Am Ma’mur, making learning more flexible, accessible, and engaging. This innovative platform has the potential to overcome the limitations of traditional media, fostering greater student motivation, interactivity, and overall learning outcomes, particularly in vocational education.
Comparison of Adam, RMSprop, and SGD on DenseNet121 for Tomato Leaf Disease Classification Dewi, Heni Lusiana; Arifiyanti, Amalia Anjani; Najaf, Abdul Rezha Efrat
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2684

Abstract

Diseases affecting tomato leaves can severely impact agricultural productivity, as they can reduce crop yields and quality significantly. A swift and dependable identification of these diseases is vital for ensuring prompt interventions and the successful implementation of disease control strategies. This study focus on evaluating and comparing the efficiency of three separate optimizers, such as Adam, RMSProp, and SGD on the pretrained Convolutional Neural Network (CNN) architecture DenseNet121. There has been no previous research that directly compares the performance of Adam, RMSProp, and SGD optimizers on the DenseNet121 model for classifying tomato leaf diseases using the Plant Village dataset. These optimizers are crucial in the training process by influencing the model’s ability to converge and generalize well on new, unseen data. Experimental procedures were performed using a labeled dataset of tomato leaf images, which included healthy leaves and various disease classes. Out of the three optimization techniques tested, the DenseNet121 model trained with the Adam optimizer consistently outperformed the others. It achieved the highest evaluation metrics, with an accuracy of 0.9800, precision of 0.9807, recall of 0.9800, and F1-score of 0.9800 on the test set. These outcomes suggest that the model has a strong and balanced classification performance, capable of correctly identifying disease conditions with minimal errors. Based on these findings, the DenseNet121 architecture combined with the Adam optimizer is considered the optimal model used to recognize various tomato leaf diseases in this study.

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