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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
User Satisfaction Analysis of Financial Technology Applications Using the End User Computing Satisfaction Model Ernawati, Ida Ayu; Asif Faroqi; 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.v8i1.2690

Abstract

The rapid evolution of digital technology has significantly transformed many sectors, especially financial services, with the rise of fintech innovations such as Flip. Flip offers interbank transfer services free of administrative fees, simplifying transactions like e-wallet top-ups, bill payments, and international money transfers, attracting a substantial user base. However, despite its popularity, users have raised concerns about transaction delays, slow customer service responses, and design issues, highlighting a gap between user expectations and actual service delivery. This study aims to evaluate user satisfaction with the Flip application using the End User Computing Satisfaction (EUCS) model, which assesses satisfaction across five key dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data from 415 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the factors influencing satisfaction. The findings reveal that user satisfaction with Flip is generally positive, with significant impacts from Content, Format, Ease of Use, and Timeliness. However, Accuracy, while positively related, had no statistically significant effect. These results emphasize the need for improving transaction timeliness and refining content and interface formats to enhance the user experience. The study provides essential insights for Flip developers to enhance service quality and offers a data-driven foundation for future research on fintech applications.
Smart Diagnostic Assistant for Peugeot 406: A Web Expert System Based on Production Rules Broto, Gilang; Tampubolon, Lely Priska Dameria
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.v8i1.2696

Abstract

This research presents the development of a web-based expert system for diagnosing engine faults in Peugeot 406 vehicles, addressing the challenge of limited access to model-specific diagnostic tools particularly in remote or underserved regions where authorized service centers are scarce and the resulting difficulty in early identification of mechanical issues. The system employs a forward-chaining inference method coupled with a depth-first search (DFS) algorithm for rule traversal within a structured knowledge base of 25 engine symptoms and 13 fault types, all formulated through expert interviews and literature review. Through IF THEN production rules, users input observable symptoms via an intuitive, non-technical interface to receive preliminary diagnoses. System testing encompassed simulated case studies covering the full spectrum of defined fault types as well as real-world trials with Peugeot 406 owners in workshop settings, demonstrating over 85% consistency with professional mechanic evaluations. These findings underscore the system’s potential to improve diagnostic efficiency, reduce repair costs, and extend vehicle longevity by enabling timely, data-driven interventions. The implementation of this rule-based expert system thus offers an effective solution for empowering vehicle owners in areas with restricted service access, and future enhancements such as integration of real-time OBD and IoT sensor data, multilingual support, and adaptive machine-learning rule updates are expected to further boost accuracy, flexibility, and user reach.
Predicting Social Media Addiction Using Machine Learning and Interactive Visualization with Streamlit Tegar, Alfiyan Tegar Budi Satria; 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.v8i1.2715

Abstract

The increasing use of social media among students has raised concerns regarding its impact on mental health, academic performance, and interpersonal relationships. This study introduces a Streamlit-based web application that predicts social media addiction levels using the Random Forest algorithm. The model incorporates variables such as daily usage hours, mental health scores, and conflicts caused by social media. The innovation of this approach lies in combining machine learning with interactive visualizations for real-time addiction prediction, providing a user-friendly, data-driven tool for early screening. Unlike traditional models that primarily rely on self-reported data or simple metrics, this method integrates multiple behavioral and psychological indicators to improve prediction accuracy. The model outperforms linear regression in all key metrics, achieving an R² value of 0.9903, which explains 99.03% of the variation in addiction scores. It also reports a low Mean Absolute Error (MAE) of 0.0370, Mean Squared Error (MSE) of 0.0244, and Root Mean Squared Error (RMSE) of 0.1561, highlighting its accuracy. Black-box testing showed an average error of just 0.354% in predictions and confirmed that the app’s features function effectively across devices. These findings emphasize the potential of this application as an effective tool for identifying students at risk of social media addiction, enabling timely interventions, and offering a foundation for future improvements through real-time data integration and advanced machine learning models.
Digital Transformation of Catfish Ponds with AI-based Monitoring System Rizqullah, Iftikhar; Irawan, Yudie
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.v8i1.2716

Abstract

Digital transformation in the aquaculture sector, particularly in catfish farming, holds significant potential to improve operational efficiency and farm productivity. This study developed an artificial intelligence (AI)-based monitoring system called NusAIra to assist farmers in managing ponds in real-time by monitoring water quality, feed management, and harvest prediction. The system integrates physical sensors with a Decision Tree Regression machine learning algorithm, validated using an 80:20 hold-out split strategy and evaluated through accuracy and Root Mean Square Error (RMSE) metrics. NusAIra was built using Flask and Docker frameworks, employing a POST endpoint with JSON-formatted data for seamless data exchange. Implementation was carried out on three catfish ponds in Jepara Regency from February to April 2025. The predictive model achieved an accuracy of 87% with an RMSE of 0.35. One application example demonstrated that the system reduced the Feed Conversion Ratio (FCR) from 1.9 to 1.6, increased productivity by up to 22%, and lowered average operational costs by 15%. Additionally, NusAIra effectively predicted market prices with stable seasonal patterns, such as the projected catfish price in Boyolali for April reaching IDR 36,442, closely aligning with historical data. These results highlight NusAIra’s role in supporting data-driven decision-making. However, challenges remain, including infrastructure constraints and the low level of digital literacy among traditional fish farmers. Further development will focus on enhancing prediction accuracy, integrating adaptive features, and expanding system reach through cloud computing to support the sustainability and food security of Indonesia’s aquaculture sector.
Development of a Web-Based Reservation System to Improve the Efficiency of Catering Services Sahara, Rachell Intanio; Chairunnisa, Risa; Muchamad Iqbal, Muchamad Iqbal; Azmi Hardi Roza, Azmi Hardi
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.v8i1.2718

Abstract

Digital transformation has become essential for improving service efficiency across various sectors, including micro, small, and medium enterprises (MSMEs) in the catering industry. Manual reservation processes often cause service delays, inaccurate data recording, and decreased customer satisfaction. This study aims to develop a web-based catering reservation system to automate bookings, streamline service management, and improve interactions between service providers and customers. The system was developed using the Agile Software Development methodology with the Scrum framework, which supports iterative, adaptive development and active user involvement. A User-Centered Design (UCD) approach was also adopted to ensure usability and alignment with user needs. The development process involved requirement analysis, system and interface design using UML, implementation with Laravel and MySQL, and evaluation through Black Box Testing and User Acceptance Testing (UAT). The system provides core features such as menu ordering, transaction management, payment confirmation, and report generation, all presented in a responsive and accessible interface. Results show that the system improves service efficiency and enhances user satisfaction, particularly in terms of system navigation, clarity of information, and ease of use. However, the study has limitations, including its application within a single MSME environment and the absence of advanced features like automated notifications or integrated digital payments. These contextual constraints limit the generalizability of findings. In conclusion, the developed system contributes to the digitalization of catering services and offers promising potential for broader application. Future research should explore scalability across various MSME types and enhance system capabilities to meet wider operational demands.
Implementation of Weighted Product Method for Teacher Selection at an Islamic Boarding School Rezagustini, Nurafni; Adisti, Andara; Royadi, Dedi; Sunggono, Nova Teguh
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.v8i1.2736

Abstract

Service teachers play a crucial role in Islamic boarding schools by imparting the knowledge and values they acquired during their studies. At Al-Kamil Islamic Boarding School, the selection of these service teachers is conducted annually to ensure only the most competent and ethically grounded candidates are chosen. Traditionally, this selection has been performed manually, which introduces several challenges, including subjectivity, inefficiency, and inconsistencies in evaluation. These limitations can compromise the fairness and transparency of the process, potentially leading to biased outcomes and reduced institutional credibility. To address these issues, this study proposes the implementation of a web-based Decision Support System (DSS) utilizing the Weighted Product (WP) method to support the teacher selection process. The WP method is particularly effective in multi-criteria decision-making, as it applies multiplicative weights to criterion scores, enabling a comprehensive and balanced evaluation of each candidate. In this application, 14 candidates are assessed based on eight criteria: morality, academic performance, craftsmanship, Quran memorization, achievements, understanding of classical Islamic texts, language skills, and computer literacy. The system calculates a preference score for each candidate using vector S and vector V normalization processes. The top three candidates identified are Arizkia Aulia (V = 0.07377), Zaskia Faliza (V = 0.07279), and Zulfa Nisa (V = 0.07231). The integration of this WP-based DSS enhances the objectivity, fairness, and efficiency of decision-making. Furthermore, it provides a replicable and scalable framework for educational institutions seeking to implement structured and data-driven staff selection processes.
User Centered Design Approach for Developing a Health Monitoring System for Posyandu Saputri, Okta Ramma; Hanifah Permatasari; Vihi Atina
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.v8i1.2737

Abstract

Indonesia continues to report high maternal and infant mortality rates, underscoring the urgent need for effective community-based health information systems, particularly in rural areas served by Posyandu (Integrated Health Service Posts). Despite their crucial role in primary healthcare delivery, many Posyandu still rely on manual data recording, resulting in fragmented documentation, delayed health risk detection, and inefficient decision-making processes. This study adopts a design research approach, utilizing the User-Centered Design (UCD) methodology to develop a web-based health monitoring system tailored for non-technical users, specifically Posyandu cadres in Dukuh Village, Boyolali Regency. The UCD process involved four iterative stages: understanding the user context, specifying user requirements, designing high-fidelity interface prototypes using Figma, and conducting usability evaluation through the System Usability Scale (SUS). The developed prototype includes key features such as digital patient data entry, real-time health examination input, visual health monitoring graphs, and automatic report generation by category and period. Usability testing was conducted with five Posyandu cadres who participated in defined usage scenarios and completed the SUS questionnaire. The resulting average SUS score was 84, categorized as “Excellent,” indicating that the system is intuitive, accessible, and efficient for users with limited technological experience. These findings demonstrate that the UCD approach effectively aligns system functionality with user needs, enhancing usability and supporting timely, data-driven health service decisions. This model offers significant potential for scalability and adaptation in other Posyandu settings, contributing to more integrated and responsive public health interventions at the village level.
Implementation of Web-Based Room Management System for Boarding House Operations Saputra, Renata Gilang; Rudi Susanto; Afu Ichsan Pradana
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.v8i1.2738

Abstract

The rapid advancement of digital technologies has significantly impacted various sectors, including property management. However, boarding house management still relies heavily on manual processes, resulting in inefficiencies such as inaccurate tenant data, delayed payments, and difficulties in monitoring room occupancy. This study aims to design and develop a web-based room management information system for Pak Yadi Boarding House, aimed at automating and streamlining key administrative tasks. Using the Waterfall development model, the study follows five phases: requirements analysis, system design, implementation, testing, and maintenance. Data collection was performed through literature review, observation, and interviews with the boarding house owner. The system was implemented using the Laravel framework and MySQL, with system architecture designed using UML diagrams. Testing was conducted using the Black Box method, with user acceptance testing involving one administrator and ten tenants. Key features tested include room data entry, tenant registration, payment invoicing, and complaint management. Results showed that all features performed as intended, and 90% of users expressed satisfaction with the system’s functionality and interface. The system successfully reduced administrative workload, minimized data entry errors, and enhanced operational efficiency. This research demonstrates that web-based systems can improve boarding house management and offers a scalable model for similar small-scale accommodations. Future research could explore integrating mobile access and cloud storage to enhance flexibility and remote management capabilities.
Dynamic Depth Cues: Mengoptimalkan Alur Pemetaan Paralaks Multi-Lapisan dalam RPG Maker MV/MZ Pradana, Wisnu Ade; Rifai, Ahmad Rizky; Jarudin; Sunarya, Erwana Ammarulloh
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.v8i1.2742

Abstract

Parallax mapping is a visual rendering technique that creates the illusion of three-dimensional (3D) depth in two-dimensional (2D) game environments by shifting background layers relative to camera movement. While widely supported in advanced game engines such as Unity and Godot, its application in RPG Maker MV/MZ—a platform favored by indie developers for its accessibility—has not been adequately explored in existing game development literature. This study addresses that gap by introducing a custom five-layer parallax mapping pipeline optimized for RPG Maker’s PIXI.js-based renderer, which is not natively designed to support complex depth effects.The proposed system introduces performance-conscious features, including grouped texture loading, dynamic layer visibility (adaptive culling), and a logarithmic depth-scaling method that enhances realism without overwhelming system resources. To evaluate its effectiveness, the study adopts a sequential explanatory mixed-methods approach consisting of two phases: quantitative benchmarking across three hardware tiers (low-end, mid-range, and high-end), and qualitative feedback collection from 20 participants comprising both players and developers. Findings reveal that the system consistently achieves over 46 frames per second (FPS) on low-end devices while improving perceived depth and spatial realism by 38%. Additionally, 85% of users expressed a preference for the parallax-enhanced visuals due to increased immersion and aesthetic quality. These results demonstrate that cinematic visual depth is achievable in RPG Maker with proper optimization, offering practical guidance for developers working under technical constraints.
Prediction of the Impact of Bullying on Students Academic Achievement Using Linear Regression Irwan, Muhammad; Saepudin, Muhamad; Hadinata, Wira; Puspitasari, Nyi Dewi
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.v8i1.2745

Abstract

Student learning achievement is a crucial element in the education sector, shaped by a variety of internal and external factors. Accurately predicting student achievement remains a significant challenge for educators and researchers, especially considering the psychological impacts of bullying. This study aims to construct a predictive model using linear regression to examine the influence of bullying levels, social support, and mental health on student achievement at SMPN 4 Pasarkemis, Tangerang Regency. A review of previous studies highlights the psychological toll bullying can have on academic performance, with many focusing on predictive models or statistical methods like linear regression to quantify these impacts. The model was developed using Python on the Google Colab platform, utilizing the pandas, statsmodels, and seaborn libraries for statistical analysis and visualization of variable relationships. Employing a quantitative, associative research design, the study involved 533 student respondents. The findings reveal that social support has the strongest positive influence on academic achievement, while higher levels of bullying and poorer mental health correlate with decreased performance. Notably, among the various forms of bullying analyzed, cyberbullying emerged as having the most significant negative impact on academic achievement. Although the model explains approximately 5.5 percent of the variation in student learning achievement, the majority of influencing factors lie beyond the scope of this analysis. The model offers potential for further development into a web-based predictive information system to assist educators in the early identification of students at academic risk.

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