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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 370 Documents
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UI/UX Design of Kiddy Rent Marketplace Application Using the User-Centered Design Method Farentina, Risty; Seftin Fitri Ana Wati; Nambi Sembilu
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.v8i1.2634

Abstract

Marketplace is one of the fastest growing digital innovations in the current technological era, which offers increased effectiveness and efficiency in product and service transactions. In the children's equipment and toy rental sector, it has the potential to help connect service providers and renters practically. However, the current rental process still faces several challenges, including manual procedures, lack of complete information, and low transaction efficiency, all of which hinder the rental experience and reduce user satisfaction. Therefore, it is important to design the UI/UX of a marketplace application that meets user needs and achieves a high level of usability. This study aims to design the UI/UX of the Kiddy Rent application, a marketplace specifically created for renting children's equipment and toys, using the User-Centered Design (UCD) approach to ensure that the final solution is tailored to user needs. The UCD stages applied include Understanding the Context of Use, Specifying User Requirements, Producing Design Solutions, and Evaluating Against Requirements. The resulting prototype was evaluated using two methods, namely Heuristic Evaluation and Usability Testing based on the ISO 9241-11 standard, by applying the System Usability Scale (SUS) to measure satisfaction. The evaluation results show that the application obtained a SUS score of 85.5, which is categorized as "Excellent", and entered the B grade with an acceptance level of "Acceptable". These findings indicate that the developed design not only meets user expectations but also has strong potential to provide an effective, efficient, and satisfying experience in the digital rental process.
BISINDO Sign Language Interpreter System Using YOLOv8 and CNN Farhana, Farizah; Abdul Rezha Efrat Najaf; Reisa Permatasari
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.v8i1.2638

Abstract

Many deaf people in Indonesia use sign language as their communication medium, one of which is BISINDO (Bahasa Isyarat Indonesia). However, limited understanding of BISINDO among the general public often becomes a significant barrier to effective communication. To address this, the study aims to develop a BISINDO hand gesture detection system based on computer vision using the YOLOv8 algorithm. The method used is a Convolutional Neural Network (CNN) with the YOLOv8 architecture, trained on a labeled dataset obtained from the Roboflow platform consisting of BISINDO alphabet gestures (A–Z). The system was developed using Python and Streamlit, providing two types of user input: real-time camera feed and manual image upload. Detected gestures are translated into text and converted into speech using the Google Text-to-Speech (gTTS) API. The model was trained over 50 epochs and evaluated using metrics including accuracy, precision, recall, and F1-score. The evaluation results show an accuracy of 89.74%, precision of 89.28%, recall of 96.15%, and F1-score of 92.16%, indicating strong model performance and generalization. Some misclassifications occurred, such as 'R' detected as 'L', and background images mistakenly classified as valid letters. Nonetheless, the system is able to detect and translate BISINDO sign language gestures in semi-realtime with high reliability. This study contributes both practically and theoretically to the field of assistive technologies by providing an accessible, web-based platform for BISINDO recognition, promoting more inclusive communication for the Indonesian deaf community.
Analysis of Factors Influencing the Acceptance of Riliv Application Using UTAUT2 Fatzali, Abrila; Wulansari, Anita; Safitri, Eristya Maya
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.v8i1.2639

Abstract

The rapid growth of digital technologies has enabled the emergence of online counseling services as alternative solutions for addressing mental health issues. Riliv is one such platform that provides digital psychological support through professional consultations, guided meditation, and journaling features. However, few studies have applied the UTAUT2 model to examine user acceptance of such platforms within the Indonesian context. This research addresses that gap by extending the UTAUT2 model with three additional constructs: e-health literacy, privacy concern, and trust. A quantitative approach was employed through a structured survey of 400 participants, with data analyzed using SEM-PLS. The findings indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, privacy concern, and trust significantly influence users’ behavioral intention to adopt Riliv. Interestingly, price value and e-health literacy were found to be insignificant, suggesting that users may place greater emphasis on emotional safety and social dynamics than on financial or informational aspects when choosing mental health platforms. Moreover, while performance expectancy is often a key predictor in technology adoption, it may be less dominant in emotionally driven contexts such as mental health. The extended UTAUT2 model proved effective in predicting user acceptance, confirming its relevance for evaluating digital mental health services in Indonesia. These insights emphasize the importance of building trust, ensuring privacy, and fostering a socially supportive, user-friendly experience. Collaboration between developers and mental health professionals is crucial to aligning technological design with user expectations and emotional needs.
UTAUT-Based Analysis of Customer Loyalty in Tokopedia Using SOR Framework Berliana, Cindy; Safitri, Eristya Maya; Rinjeni, Tri Puspa
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.v8i1.2640

Abstract

This study investigates customer loyalty in the context of e-commerce by applying an integrated Unified Theory of Acceptance and Use of Technology (UTAUT) model combined with the Stimulus–Organism–Response (SOR) framework. Tokopedia, one of Indonesia’s leading e-commerce platforms, faces increasing difficulty in sustaining customer loyalty due to common service-related issues such as delayed deliveries, system errors during voucher usage, and slow customer service. These challenges negatively impact user experience and trust key elements in fostering long-term loyalty. To address these issues, this research explores the need for an integrated approach by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Stimulus–Organism–Response (SOR) framework. The UTAUT model provides insights into the factors driving user adoption, while the SOR framework helps in understanding the psychological responses that lead to sustained loyalty. This research explores how five UTAUT constructs Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Price Value serve as external stimuli (Stimulus) that influence users’ trust in the Tokopedia application (Organism), which then drives customer loyalty (Response). A quantitative survey of 384 Tokopedia users was analyzed using PLS-SEM. The findings reveal that all UTAUT variables significantly affect trust, and trust serves as a strong predictor of customer loyalty. This study contributes theoretically by bridging UTAUT and SOR models to explain loyalty behavior in e-commerce settings, and offers practical insights for Tokopedia to improve user retention. Notably, future studies may consider longitudinal approaches and explore additional psychological factors beyond trust to deepen understanding of loyalty formation.
Evaluation of the SSW Alfa Website using Webqual 4.0 Modification and Importance Performance Analysis Wijayanti, Auditi Kurnia; Faroqi, Asif; Safitri, Eristya Maya
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.v8i1.2643

Abstract

Advancements in information technology have encouraged governments to digitize public services to enhance accessibility, transparency, and efficiency. The Surabaya Single Window (SSW) Alfa website was developed to facilitate public administrative processes. However, recurring user complaints regarding registration failures, verification delays, and system instability suggest weaknesses in service delivery. This study evaluates the quality of the SSW Alfa website using a modified WebQual 4.0 framework—expanded with reliability, trust, and citizen support—combined with the Importance Performance Analysis (IPA) method. The model consists of six variables: usability, information quality, service interaction quality, reliability, trust, and citizen support. A quantitative approach was employed by distributing a questionnaire to 385 users who had accessed the platform at least twice. Each item was assessed using a five-point Likert scale for both performance and importance. Data were analyzed using SPSS 29 and Excel. The largest gaps were found in information quality and reliability, with conformity level of 80–81%. The results showed an average conformity level of 93%, with most indicators producing negative gap values, indicating that actual performance falls short of user expectations. The IPA mapping identified four priority indicators in Quadrant I—information accuracy, information completeness, system reliability, and performance consistency—as critical areas for immediate improvement. These findings highlight the need for technical and content-related enhancements to better align digital services with user needs. This study contributes to the evaluation of e-government platforms by extending the WebQual model and offering actionable insights for improving digital service quality in the public sector.
Decision Tree and Reinforcement Learning Approaches in Adapting Math Problems Based on Student Ability Sya’bani, Dwiyana Anugrah; Nalar, M Arief Lukman; 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.v8i1.2645

Abstract

Mathematics learning often faces challenges in adjusting the difficulty level of questions to match individual students' abilities. Traditional methods, which apply a uniform difficulty across all students, are less effective as they fail to account for differences in comprehension and learning speed. This study introduces an adaptive learning system utilizing Decision Tree and Reinforcement Learning approaches to dynamically adjust the difficulty of mathematics questions based on real-time student performance. The Decision Tree model classifies questions into easy, moderate, and difficult categories by analyzing the distribution of correct and incorrect student answers, achieving a classification accuracy of 71.33% and an F1-score of 80.02%. Reinforcement Learning, particularly the Q-Learning algorithm, adjusts the difficulty level of subsequent questions based on continuous student performance feedback, with a success rate of 65.96% and a total reward of 626,885. This dual approach significantly enhances the learning process by providing personalized and adaptive experiences, ensuring each student is challenged at an appropriate level. Implemented as a web-based system, it facilitates real-time adjustments and continuous adaptation to student needs. By continuously analyzing student responses, the system maintains engagement and supports effective mastery of mathematical concepts. This personalized feedback mechanism fosters a dynamic and interactive learning environment that is more responsive to individual needs, improving both student engagement and conceptual understanding.
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.

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