cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Budi Hermawan
Contact Email
-
Phone
+62081703408296
Journal Mail Official
info@kdi.or.id
Editorial Address
Jl. Flamboyan 2 Blok B3 No. 26 Griya Sangiang Mas - Tangerang 15132
Location
Kab. tangerang,
Banten
INDONESIA
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
 4   5   6   7   8 
Search results for , issue "Vol. 8 No. 1 (2025): bit-Tech" : 114 Documents clear
Deep Learning-Based Approach for Identifying and Counting Wooden Blocks with YOLO Aras, Suhardi; Soekarta, Rendra; Umasugi, Edwin
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.v8i1.2627

Abstract

The wood processing industry in Indonesia, especially in the Southwest Papua region, faces ongoing challenges in accurately counting wooden logs, a task traditionally performed manually. Manual methods are time-intensive and prone to error, leading to inefficiencies in operations and weaknesses in resource management. This study addresses these challenges by applying a deep learning-based object detection approach, specifically the You Only Look Once version 8 (YOLOv8) algorithm, to automate the detection and counting of wooden beams in real time. YOLOv8 was chosen for its ability to perform high-speed and accurate detection even under varying environmental conditions, such as different lighting levels and camera angles. The model was trained on a custom dataset consisting of 265 annotated images of wooden beams, with a split of 70% for training, 20% for validation, and 10% for testing. Performance evaluation using a confusion matrix revealed a detection accuracy of 94%. These findings suggest that YOLOv8 is highly effective in supporting automation within wood processing workflows. By reducing dependency on manual labor and minimizing counting errors, the system contributes to more accurate inventory tracking and enhanced productivity. This research demonstrates the potential of integrating AI-driven models into mobile and industrial applications for improved efficiency in forestry-related sectors.
Developing an Interactive Web System for Public Service at BPS Boyolali Pangestu, Adi Nugrah Sri; Moh.Muhtarom; Nibras Faiq Muhammad
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.v8i1.2628

Abstract

This study presents the development of a web-based system aimed at enhancing public services at the Mall Pelayanan Publik (MPP) of the Badan Pusat Statistik (BPS) in Boyolali. Built on the Next.js framework, the new system addresses key inefficiencies in previous manual and semi-digital approaches, such as those based on Google Forms. It introduces a streamlined integration of Google Sheets for data management and the BPS API for real-time statistical updates, providing an automated, efficient process for visitor data recording and service delivery. The system’s core features include automatic logging of visitor data, a Q&A platform with BPS staff, real-time notifications for administrators, and personalized data recommendations tailored to user interactions. Developed using a prototyping methodology, the system underwent iterative refinement based on user feedback, while a PIECES framework analysis was employed to evaluate and guide the system’s improvements. Implementation results indicate significant enhancements in data management, admin response times, and overall user interface interactivity, thereby improving service efficiency, transparency, and public engagement at BPS. Despite its successes, the system faces limitations, including its reliance on stable internet connectivity and potential scalability issues with Google Sheets. Future upgrades may focus on advanced data analytics and optimization of the user interface. This research contributes to the growing field of digital transformation in public service delivery, presenting a scalable model that could be applied to similar public institutions.
Applying Importance-Performance Analysis to Identify Strategic Factors Enhancing User Satisfaction in Dana Satriani, Adibah Dewi; Faroqi, Asif; 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.v8i1.2629

Abstract

The use of digital wallets in Indonesia has grown significantly alongside increasing public demand for fast, secure, and practical financial transactions. One of the widely used applications is Dana. However, user satisfaction with its services still requires a comprehensive evaluation to ensure continued usage. This study aims to measure and analyze user satisfaction with the Dana application by integrating the End User Computing Satisfaction (EUCS) model and the Importance-Performance Analysis (IPA) method. This research employed a quantitative approach by distributing online questionnaires to 403 respondents. The research instrument was tested for validity and reliability, and the data were analyzed using IPA to map service attributes based on their perceived importance and performance. The results show that attributes such as system security, content completeness, and information accuracy fall into the high-priority quadrant (Quadrant I), indicating that they are highly important but currently underperforming. Meanwhile, attributes like content format and timeliness meet user expectations and should be maintained. The study concludes that Dana’s development team should prioritize improvements in the aspects that most significantly affect user satisfaction. These findings are expected to serve as a strategic foundation for decision-making in enhancing service quality, while also contributing to the academic literature on evaluating digital financial applications.
Evaluate the Intentions and Behaviors of Live Streaming Feature Users with the UTAUT Model Cahyono, Athallah Rafif; Arista Pratama; Virdha Rahma Aulia
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.v8i1.2632

Abstract

The rapid advancement of digital innovation in Indonesia's e-commerce industry has encouraged the widespread adoption of live streaming features such as Shopee Live, which enable real-time interaction between sellers and buyers. Despite the growing popularity of this feature, limited research has investigated the behavioral factors that drive its sustained use, particularly by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the construct of trust. This study aims to evaluate users’ behavioral intentions and actual usage of Shopee Live by applying the UTAUT model, extended with the trust variable to better capture the dynamics of live streaming-based commerce. A quantitative approach was employed through an online survey distributed to Shopee users with prior experience using the live feature. Using purposive sampling, a total of 215 valid responses were collected, with a response rate of 86%. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that Effort Expectancy, Social Influence, Price Value, Habit, and Trust significantly affect behavioral intention, while Performance Expectancy, Facilitating Conditions, and Hedonic Motivation do not. Furthermore, Habit, Trust, and Behavioral Intention significantly influence actual usage behavior. This study contributes to the e-commerce literature by extending the UTAUT framework with trust in the specific context of live streaming. The findings emphasize the stronger role of trust and social factors over utilitarian and entertainment considerations. E-commerce platforms should focus on strengthening user trust, promoting ease of use, and encouraging habitual usage to increase engagement with live commerce features.
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.

Page 6 of 12 | Total Record : 114

 4   5   6   7   8 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 8 No. 1 (2025): bit-Tech Vol. 7 No. 3 (2025): bit-Tech Vol. 7 No. 2 (2024): bit-Tech Vol. 7 No. 1 (2024): bit-Tech Vol. 6 No. 3 (2024): bit-Tech Vol. 6 No. 2 (2023): bit-Tech Vol. 6 No. 1 (2023): bit-Tech Vol. 5 No. 3 (2023): bit-Tech Vol. 5 No. 2 (2022): bit-Tech Vol. 5 No. 1 (2022): bit-Tech Vol. 4 No. 3 (2022): bit-Tech Vol. 4 No. 2 (2021): bit-Tech Vol. 4 No. 1 (2021): bit-Tech Vol. 3 No. 3 (2021): Remote Delivery Vol. 3 No. 2 (2020): Datamining Vol. 3 No. 1 (2020): Distance Learning Vol. 2 No. 3 (2020): Pandemik ICT Vol. 1 No. 3 (2019): Learning Synchronous and Asynchronous in the Industry 4.0 Vol. 2 No. 2 (2019): Support System Vol. 2 No. 1 (2019): Data Mining and Green Technology Vol. 1 No. 2 (2018): Data and Information Quality Vol. 1 No. 1 (2018): First Impression on Computing More Issue