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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
Development of The Software as Services (SaaS) Business Model in The Satusehat Integrated Electronic Medical Record System Novantara, Panji; Trisudarmo, Ragel; Fauziah
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.v8i1.2354

Abstract

Digital transformation in the healthcare sector represents a key strategy to enhance operational efficiency and improve the quality of medical services. This study presents the development of a Software as a Service (SaaS)-based Electronic Medical Record (EMR) information system, integrated with SatuSehat, a national health data platform managed by the Ministry of Health of the Republic of Indonesia. The system is designed to improve the accuracy of clinical data recording and expedite access to patient information for healthcare professionals. The development process adopted the Agile methodology, characterized by iterative and incremental stages including requirements analysis, system design, implementation, testing, and evaluation. Agile was selected for its ability to accommodate dynamic user needs and regulatory requirements through continuous feedback loops and adaptive planning. Compliance with national health regulations and data security standards, including Minister of Health Regulation No. 24 of 2022 concerning EMR implementation, guided the entire process. Evaluation of the system demonstrates enhanced efficiency in medical administrative workflows, improved accuracy of patient records, and accelerated clinical decision-making processes. The integration with SatuSehat enables interoperability at a national level, thereby supporting real-time health data exchange and long-term health monitoring systems. From a societal standpoint, the system improves data accessibility for healthcare personnel and elevates the overall quality of care delivered to patients. Economically, the SaaS-based approach reduces operational costs, promotes efficient budgeting, and contributes to the broader digital transformation of healthcare services, particularly in strengthening primary care infrastructure.
Multinomial Logistic Application on Factors Affecting Poor Population in East Java Isyanto, Aisyah Kirana Putri; Trimono; Damaliana, Aviolla Terza
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.v8i1.2400

Abstract

Poverty is still one of the major problems in East Java, even though this province has an important role in supporting the national economy. This condition shows that development in each district/city has not been evenly distributed, so a data-based analysis is needed to determine the factors that influence the poverty rate. This study aims to analyze the influence of socioeconomic variables on the poverty rate category in East Java using a multinomial logistic regression model. The data used is secondary data from the Central Bureau of Statistics (BPS) in 2023 which covers 38 districts/cities. The independent variables analyzed consisted of life expectancy, average years of schooling, open unemployment rate, labor force participation rate, expenditure per capita, human development index, and gross regional domestic product (GRDP) per capita. The analysis process involved data exploration, multicollinearity test, multinomial logistic regression modelling, simultaneous and partial parameter significance test, and model performance evaluation. The results show that per capita expenditure is the only variable that has a significant effect on poverty level classification. The model is able to classify the data with an accuracy of 81% and a McFadden R² value of 0.6483, which means the model has a fairly good performance. This finding shows the importance of increasing people's purchasing power as an effort to reduce poverty. This research is expected to be a reference for local governments in formulating more targeted and data-based policies.            
Evaluation of Watsons ID Application Adoption Among Generation Z Users: Applying the UTAUT2 Sitompul, Byanca Rebecca Yocelyn; 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.v8i1.2405

Abstract

The rapid advancement of digital technology has significantly transformed the retail landscape, particularly within the beauty and health e-commerce sector. In response to this shift, the Watsons ID application was developed to provide a fast, convenient, and feature-rich platform for online shopping. This study examines how Generation Z consumers in Indonesia adopt and use the Watsons ID application by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with data collected from 410 respondents through purposive sampling. The research specifically targeted Indonesian Generation Z users who have experience with the Watsons ID application. The findings indicate that Performance Expectancy, Social Influence, Price Value, and Habit have a significant positive impact on users' intention to use the application. Furthermore, Habit and Behavioral Intention positively influence actual usage behavior. Conversely, Effort Expectancy and Facilitating Conditions do not show a significant effect on Behavioral Intention, and Facilitating Conditions also do not affect Use Behavior. These insights provide valuable guidance for e-commerce developers and beauty retailers seeking to optimize digital strategies, enhance user experience, and strengthen customer engagement specifically targeted toward Generation Z consumers in the Indonesian market.
Optimizing 3-Axis CNC Router Design: Using QFD and DFM for Enhanced Precision and Efficiency Firgiawan, Mohammad Rivo; Nurcahyanie, Yunia Dwie
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.v8i1.2407

Abstract

The development of the manufacturing industry demands continuous innovation in machine technology, particularly the 3 Axis CNC Router, which plays a crucial role in various applications such as cutting, milling, and material shaping.This research aims to design and develop a more efficient and precise 3 Axis CNC Router machine with a user needs-based approach in Indonesia.This machine is optimized using Quality Function Deployment (QFD) to identify consumer needs through questionnaire data, as well as Design for Manufacture (DFM) to ensure a design that is easy to produce and cost-efficient.The results of the QFD and DFM analysis are used to develop the machine with superior features, such as improved cutting precision, reduced noise, and enhanced resistance to corrosion and material dust accumulation. The developed machine is capable of improving cutting accuracy to ±0.05 mm and processing speed by 20% faster compared to the previous machine.Additionally, the noise reduction also reaches more than 15 dB, enhancing operator comfort during use.This research also identifies the main customer needs, such as machine safety, speed, and machine strength, as well as secondary needs, such as aesthetics and dirt prevention.These findings not only provide technical solutions to the existing issues with CNC machines but also suggest a direction for developing machines that are more responsive to the needs of small and medium-sized enterprises in Indonesia, as well as more efficient in material and cost usage.
English Language Learning System Using Web Based Rapid Application Development Method Dani, Dani
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.v8i1.2422

Abstract

This study aims to develop an interactive and fun web-based English learning application for school Pupil. The Rapid Application Development (RAD) method is used to design this application, which combines media elements such as animation, text, audio, and images. This application is made to arouse Pupil' enthusiasm for learning, while making it easier for teachers to teach. There are various fun and interactive features in it, for example, English learning materials are packaged with an attractive appearance, as well as the ability to monitor each Pupil's learning progress. By using this application, teachers can provide initial knowledge to Pupil more effectively and monitor Pupil learning progress online. This study has succeeded in developing an effective and efficient web based English learning application in improving Pupil' abilities in learning English. The evaluation results showed that 93.77% of Pupil succeeded in improving their English learning skills, with 30 out of 32 Pupil showing increased skills and a satisfaction level of 89.2% from teachers and 89.4% from Pupil.This web-based English learning application can be an alternative in the learning process at school, improving the quality of English learning for Pupil. The RAD method is effective in developing effective and efficient learning applications. This application is expected to increase Pupil' interest in learning and be an example for other schools. This research can contribute to the development of effective and efficient web-based English learning applications, improve the quality of English learning in schools, and be a solution to improve Pupil' English learning abilities.
Simple Additive Weighting Method for Internet Service Provider Vendor Selection Decision Support System Rafli, Muhammad; Purbaratri, Winny; Safitri, Agnes Novita Ida; Indiarto, Budi; Wicaksono, Fandan Dwi Nugroho
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.v8i1.2423

Abstract

The increasing demand for high-speed, stable, and reliable internet services at IKPIA Perbanas—driven by educational, research, and administrative needs—has posed challenges in selecting the most suitable Internet Service Provider (ISP). With numerous vendors offering diverse bandwidth packages and pricing, a structured and objective decision-making method is essential. This study proposes the development of a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to assist in the selection of the most appropriate ISP. The research adopts a quantitative approach, utilizing both primary and secondary data. Primary data were collected through a questionnaire distributed via Google Forms to five experts comprising the tender selection team. Secondary data were obtained through observation and interviews. Seven key criteria were identified: bandwidth, benefit, experience, service level agreement (SLA), support, hardware, and security. Each criterion was weighted and evaluated using the SAW method. The resulting system calculated normalized performance ratings and preference values for each vendor. The analysis showed that PT. B achieved the highest preference value (0.97), followed by PT. E (0.93), indicating PT. B as the most suitable vendor. The developed system successfully supports transparent, criteria-based ISP selection, enhancing the efficiency and objectivity of the procurement process at IKPIA Perbanas.
Food Price Prediction Using the Vector Moving Average (VMA) Model in Surabaya and Malang Najma P., Safira; Trimono; Diyasa, I Gede Susrama Mas
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.v8i1.2428

Abstract

Price fluctuations of animal-based food are a significant issue in Indonesia, especially for low-income communities. In 2023, chicken prices increased by 4.55% and beef prices rose by 11%, contributing to inflation in East Java. Fluctuations in the prices of tuna and milkfish also affected purchasing power and the consumption of animal protein, which remains relatively low compared to other Asian countries. This study aims to predict the prices of animal-based food commodities in Surabaya City and Malang Regency using the Vector Moving Average (VMA) method, which is capable of capturing strong correlations among variables in multivariate time series data. The study covers daily prices per kilogram of beef, chicken, tuna, and milkfish throughout 2023. The 14-day price prediction at the beginning of 2024 shows that the best model for Surabaya is VMA(2), while for Malang Regency, it is VMA(3), selected based on ACF and PACF plots, low AIC values, MAPE values, and consistency of prediction results. The evaluation results using the Mean Absolute Percentage Error (MAPE) indicate that in Surabaya, beef (0.63%), chicken (2.51%), and tuna (4.76%) achieved high prediction accuracy, while milkfish (13.38%) falls into the “good” category. In Malang Regency, the VMA(3) model yielded more consistent prediction results, with all commodities showing MAPE values below 10%: beef (5.62%), chicken (2.43%), tuna (5.61%), and milkfish (2.18%). These results show that the VMA model performs well in capturing the price dynamics of food commodities, as evidenced by the low MAPE values.
Business Process Reengineering of the Book Lending and Returning System for Library Using BPMN Warvana, Ulil Fikri; Suharso, Wildan
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.v8i1.2458

Abstract

School libraries support the learning process by providing information sources that enrich students' insights. Bangselok 1 State Elementary School (SDN) library faces problems in its management system, which is still conventional, making it less efficient in data collection, borrowing, and returning books. This research aims to improve the efficiency of the school library book lending process by using Process Reengineering (BPR) and Business Process Modelling Notation (BPMN). The current process of borrowing books was inefficient, taking 16-22 minutes for borrowing and 12-18 minutes for returning books, with throughput efficiency ranging from 40% to 100%. The conventional method was identified as time-consuming and error-prone, leading to wastage of resources. A redesigned process was proposed, eliminating unnecessary steps and automating tasks, which reduced the total time, achieving a throughput efficiency of 100% in both scenarios. In addition, integrating an Android-based library management system is recommended to facilitate new processes, improve data accuracy, and enhance service quality. Implementing this system is expected to optimize library operations and support the school's educational goals by providing timely access to resources. This study shows that implementing BPR and BPMN can significantly improve library processes, benefitting educators and students at SDN Bangselok 1 and emphasizing the need to modernize library management practices.
English Language Nur'afifah, Anya Ningrum; Anggraini Puspita Sari; Afina Lina Nurlaili
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.v8i1.2484

Abstract

The increasing prevalence of diseases in pet cats highlights the need for a diagnostic support system that is both fast and accurate. The Certainty Factor (CF) method is widely used in expert systems to represent uncertainty in decision-making. However, its reliance on subjective expert judgment can reduce diagnostic accuracy and system confidence. This study aims to optimize CF values using the Particle Swarm Optimization (PSO) algorithm, enabling the system to adapt better to actual medical data. CF values were initially collected from two veterinary experts and combined using the median method to minimize bias. These values were then optimized using PSO, with parameter tuning performed individually for each disease to maximize fitness. The dataset used for validation consisted of 100 medical records of cats diagnosed with one of nine common feline diseases, including Ringworm, Scabies, Helminthiasis, and others. The results show an increase in diagnostic accuracy from 85% (using original CF) to 88% (after PSO optimization). Moreover, 70.73% of the cases with consistent diagnoses before and after optimization showed an increase in final CF values, indicating greater confidence in the system’s diagnostic decisions. These findings suggest that the integration of CF with PSO not only improves diagnostic accuracy but also strengthens the reliability of expert systems in the veterinary field, particularly for early and efficient identification of cat diseases.
Design and Development of a Web-Based Point of Sale System for Small-Scale Retail Management Ramadhani, Irsan; Nindyasari, Ratih; Catur Murti, Alif
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.v8i1.2487

Abstract

This study addresses the issue of stock management inaccuracies and sales record discrepancies at Toko Dadi Barokah, primarily caused by manual recording systems. These manual processes often result in mismatches between recorded sales and actual revenue, delayed stock updates, and poor customer service. The objective of this research is to design and implement a web-based point-of-sale (POS) information system to improve operational efficiency and customer satisfaction. The urgency of this study lies in the operational inefficiencies and financial risks associated with manual systems, including delayed inventory updates, misaligned stock levels, and revenue loss due to poor oversight. To overcome these challenges, an integrated system was developed that encompasses inventory management, sales recording, and integration with financial and logistics subsystems. This system was designed using both qualitative and quantitative approaches, with iterative prototyping and user-centered development. The implemented web-based POS system showed significant improvements in the accuracy of stock and sales data, reduced operational errors, and streamlined business processes. Performance evaluation and a comparative case study of similar retail enterprises provided additional insights into system scalability and adaptability. This research contributes to enhancing the operational efficiency of small and medium-sized enterprises (SMEs) by offering a scalable technological solution tailored for limited-resource environments. The findings offer practical implications for similar businesses seeking to leverage digital transformation to improve service quality and competitiveness in increasingly digital retail landscapes.

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