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Agis Abhi Rafdhi
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INDONESIA
International Journal of Research and Applied Technology (INJURATECH)
Published by Universitas Komputer Indonesia
ISSN : 28100662     EISSN : 28077229     DOI : https://doi.org/10.34010/injuratech.v1i2.5902
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
INJURATECH cover all topics under the fields of Computer Science, Information system, and Applied Technology. Scope: Computer Based Education Information System Database Systems E-commerce and E-governance Data mining Decision Support System Management Information System Social Media Analytic Data visualization Cloud computing platforms Distributed file systems and databases Big data technologies Data capture and storage Computer Architecture and Embedded Systems Geographic information system (GIS) Remote Sensing Software Engineering Internet and Web Applications Mobile Computing Hardware and physical security Mobile Computing Security management and policies Block chain Technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 251 Documents
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Analysis of Heart Disease Risk Factors Based on Clinical Data Using Descriptive Correlation and Logistic Regression Harjono, Risqi Windu; Afrianto, Irawan; Kurniawan, Bobi; Resviani, Devi
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 1 (2025): Vol 5 No 1 (2025)
Publisher : Universitas Komputer Indonesia

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Abstract

Heart disease is one of the major causes of death, often progressing without any visible signs of the onset of the disease, thereby warranting the need for a data-intensive solution in support of its early screening. This paper proposes an analysis of risk factors for heart diseases using clinical data through the application of descriptive statistics, correlation analysis, and logistic regression. The proposed clinical data for analysis is a secondary clinical dataset that contains information about 918 patients with 12 numerical and categorical variables, with one target or dependent variable: heart disease. Descriptive statistics were employed to reveal information about the characteristics of the provided clinical data, Pearson correlation analysis, as well as Chi-Square tests, were used to examine the association of heart clinical parameters. A logistic regression analysis was employed as the core solution for determining the risk of heart diseases. This paper showed that among 918 patients, 55.3% were diagnosed with heart diseases, with a peak among middle-aged patients. Pearson correlation analysis revealed that no numerical variables were strongly correlated with heart diseases, but among the categorical variables, ChestPainType, ExerciseAngina, and ST_Slope were significantly related to heart diseases. An accuracy of 88.59% with a recall value of 0.93 for heart diseases classes was achieved by using logistic regression analysis. This paper clearly shows that an interpretive approach through statistics could potentially provide support for developing a decision support system for an early heart disease screen for cardiac patients.
Implementation of a Web-Based Inventory System for Sales Efficiency in Retail Sector MSMEs in Bandung City Makalalag, Sukiman; Soegoto, Eddy Soeryanto
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 1 (2025): Vol 5 No 1 (2025)
Publisher : Universitas Komputer Indonesia

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Abstract

Indonesian Government Takes Bandung’s Retail Stores to Court The shelves should be organized. we’re looking into ways to improve stock monitoring with a web-based. We adopted a Waterfall approach for the construction of this system. When we created the stock tracking website. This study is special since we did not do that. We tried it; we actually tried it out in a shop. The system was tested by them. We wanted to see if the system would actually work well in a real situation. We tested it in. I attempted it. I witnessed what happened. This is basically the definition of black-box testing, right? I used the “Black Box” testing method to see what would happen after just kicking the tires on it. We have just seen the results. The system was working perfectly; all the businesses in Bandung that. The decision to use the web-based inventory system was 100% successful. The main thing is, once we. Our operations improved greatly when we began using it. According to our stock data, transaction timelines dropped by 83%. This new system reduced stock shortages by 90% and was 98% accurate. So, it seems like it helps. More sales and improved performance for business. It’s a fairly suitable solution for smaller and midsized.
IoT-Based Barcode Scanning System Implementation Using ESP32 for Enhancing Warehouse Stock Opname Efficiency Pratama, Surya Alamsyah Putera; Hidayat, Hidayat; Rahim, Wendy G E; Nugraha, M Anggy
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 1 (2025): Vol 5 No 1 (2025)
Publisher : Universitas Komputer Indonesia

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Abstract

Efficient inventory management is the cornerstone of modern warehouse activities; however, traditional stock opname procedures, relying on manual documentation, have often faced extremely significant challenges related to data inaccuracies, delays in procedures, and high human error probabilities. This paper proposes an innovative technological solution through the development of an IoT-enabled barcode scanning system designed to enhance the efficiency of the stock opname process within the warehouse facility. The developed system employs ESP32 microcontroller technology integrated with GM67 barcode-scanning capability, forming an integrated platform that captures inventory data in real time over WiFi communication protocols directly connected to Firebase cloud-based database infrastructure. The research methodology approaches R&D methodology through practical implementation at Bengkel AHAAS's warehouse facility, which is located in Cinambo, Bandung City. The experimental test results indicated significantly improved performance, with a scanning accuracy of 95% under optimal conditions, an average response time of 2.3 seconds in transmitting data to the database, and a functional working distance of up to 15 cm. The system was found to reduce the processing time of stock opname by approximately 60%, as opposed to prior methods that had been performed entirely manually.
IoT-Based Gas Leak Detection Security System for Boarding House Environments: A Case Study of Kuning Ciumbuleuit Boarding House Aqila, Angga; Hidayat, Hidayat; Maulina, Raisya; Ramadhani, Muhammad Wilyan; Dwisakti, Gilang
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 1 (2025): Vol 5 No 1 (2025)
Publisher : Universitas Komputer Indonesia

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Abstract

Gas leaks from Liquefied Petroleum Gas (LPG) could be a severe issue that could result in fires and/or explosions, especially if the area is highly populated, as in the case of a dormitory. Furthermore, the absence of gas detecting system within the initial stages may turn out be deadly. In this regard, an Internet of Things (IoT) based gas sensor, NodeMCU ESP8266 as a data processor unit, and the Telegram app as a warning notification unit in the system. As soon as the gas content exceeds the safety limit within the ambient environment, the system automatically produces a warning notification alert on the user’s cellphone through Telegram app. Based on the experimental output, it has been identified that the system takes a total of 2 to 3 seconds to react after the gas has been identified. This efficient system has been found to provide effective gas leak detection at an optimum distance of not more than 15 cm from the sensor device. Additionally, two warning modes are employed to increase the awarness of the user. With such an easy setup and a lower cost, this system would be an excellent option to be employed within a dorm environment.
Physics-Informed Artificial Intelligence for Adaptive Wireless Channel Modelling in Fifth-Generation (5G) Networks Muhammed, Aniru Abudu; Muhammed, Hibah
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

Accurate wireless channel modeling is fundamental to the design and optimization of fifth-generation (5G) communication systems. Traditional geometry-based stochastic models (GBSMs) and empirical formulations, while effective in static environments, often fail to capture the nonlinear, non-stationary, and environment-dependent propagation behaviours inherent in modern multi-antenna and millimeter-wave systems. This study introduces a physics-informed AI hybrid framework that fuses physical propagation principles with deep learning architectures, enabling channel modeling that is interpretable, adaptive, and data-efficient. Using large-scale datasets including DeepMIMO, COST (Cooperation in Science and Technology) 2100, and New York University (NYU) Wireless, the model integrates Physics-Informed Neural Networks (PINNs) and Convolutional Neural Networks (CNNs) to simultaneously capture spatial, temporal, and frequency-domain relationships under realistic propagation environments. Reinforcement and federated learning layers enable real-time adaptation and decentralized training across multiple base stations while preserving data privacy. Experimental results demonstrate substantial improvements over benchmark models such as 3GPP (3rd Generation Partnership Project) TR 38.901, COST 2100, and QuaDRiGa  (QUAsi Deterministic RadIo Channel GenerAtor), achieving an RMSE of 1.72 dB and NMSE of –20.6 dB, corresponding to a 25–30% accuracy gain. Visual analyses of power delay profiles, residual error distributions, and spatial correlation maps confirm the model’s robustness and physical consistency. The proposed framework offers a scalable, interpretable, and adaptive paradigm for next-generation wireless channel modeling, paving the way toward intelligent, self-optimizing, and 6G-ready communication networks that bridge the gap between physics-based theory and AI-driven modeling.
Integration Of Hirka Packaging As A Physical Output Of The System E-Commerce In Improving Customer Experience Fadillah, Ismail Hudan; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Sumitra, Irfan Dwiguna; Bachtiar, Adam Mukharil
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

The development of e-commerce as an applied information system has changed the interaction pattern between brands and consumers, where user experiences are increasingly mediated by non-physical digital processes. This condition creates limitations in conveying material value, product quality, and brand character, especially for products that emphasize material aspects and an artisan approach. This study aims to analyze the role of packaging as a physical output in the e-commerce system architecture and its contribution to enhancing the customer experience value of the local leather shoe brand HIRKA. The study uses a qualitative approach with a case study method. Data collection was carried out through observations of the marketplace system and HIRKA packaging design, in-depth interviews with brand owners, and literature studies related to e-commerce information systems and technology-based customer experience. The results show that packaging functions as an extension of the information system that translates data, visual representations, and digital narratives into a physical post-purchase experience. The integration between the e-commerce system and packaging design creates continuity between the digital process and the physical output, narrowing the gap in user experience, and increasing customer perceptions of value, trust, and satisfaction. These findings emphasize that evaluation of e-commerce system performance needs to consider the quality of integration between the digital system and the physical output as part of the overall customer experience.
Indonesian Oil and Gas Export Data Forecasting Using Autoregressive Integrated Moving Average and Exponential Triple Smoothing Methods Kurniawan, Deni; Afrianto, Irawan
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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This study analysed historical data movement patterns and forecasted the value of oil and gas exports for the next 12 periods. The data obtained was secondary data in the form of monthly time series for the period (2021–2025). A time series is a series of observations of a variable that occur in relation to the time of its occurrence, while time series data is data collected over a specific time period. The analysis method used was the Box-Jenkins method or Autoregressive Integrated Moving Average with the help of R software. The model obtained through the stages of model identification, parameter estimation, and diagnostic testing was then used to project the data. The best model was selected based on the smallest Akaike Information Criterion (AIC) value and valid parameter significance tests. The forecast results for 2026 show a trend that tends to be constant or flat following the latest data level, with a confidence interval that widens as the time period increases. This indicates that the value of oil and gas exports is predicted to be stable but carries a high risk of uncertainty in the future, thus requiring adaptive policy anticipation to address market volatility.
The Role of Visual Identity Design and Digital Technology in Developing Local Photography Studio Entrepreneurship: A Case Study of Natsume Studio Foto Cianjur Akbar, Aldi Mohamad; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Sumitra, Irfan Dwiguna; Bachtiar, Adam Mukharil; Mohamad Akbar, Aldi
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

The rapid growth of digital technology has reshaped entrepreneurial practices in the creative industry, including local photography studios. However, many creative MSMEs have not yet optimized visual identity design and digital media as strategic business assets. This study examines the role of visual identity design and digital media in supporting entrepreneurial development within a local photography studio. Using a qualitative case study approach, data were collected through visual observation, semi- structured interviews, and documentation of promotional media. The findings show that consistent visual identity design supported by digital platforms helps build a professional image, strengthen consumer trust, enhance brand recognition, and improve competitiveness. This study underscores the importance of visual identity and digital media as strategic and accessible tools for sustaining local creative enterprises in the digital era.
Implementation of a Web-Based Digital E-Catalog System Conceptual Design to Support Creative Entrepreneurship: A Case Study of Diorama Handmade Studio Maullana, Chandra; Soeryanto Soegoto, Eddy; Wahdiniwaty, Rahma; Sumitra, Irfan Dwiguna; Mukharil Bachtiar, Adam
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

The development of MSMEs in the era of digital transformation requires a product communication model that is not only informative but also capable of integrating visual identity, system architecture, and creative entrepreneurship strategies in an integrated manner. This study aims to design and implement a conceptual design for a web- based digital E-Catalog system at Diorama Handmade Studio that functions not only as an information medium but also as a strategic instrument for strengthening visual identity and developing creative entrepreneurship. The method used is a case study with a qualitative approach through observation, in-depth interviews with brand owners, system documentation, and literature studies related to digital information media, UI/UX, and creative entrepreneurship. The system was developed using a Responsive Web Application (RWA) approach with a three-tier architecture (presentation layer, application layer, and data layer) and implemented at the Proof of Concept (PoC) stage. The results of the study show that the digitally designed E-Catalog is capable of representing the complexity of handmade product values through interactive zoom features, organized information structures, brand storytelling, and a dynamic database-based filtering system.
Integrating Geographic Information System (GIS) and Data Mining for Smart City Decision Support Systems: A Conceptual Framework Rafdhi, Agis Abhi
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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This study aims to formulate a conceptual framework that cohesively integrates Geographic Information Systems (GIS) and Data Mining into a unified Decision Support System (DSS) tailored for Smart City development. Employing a comprehensive literature review approach, theoretical findings and methodologies from diverse academic databases were carefully evaluated and synthesized. The primary result is a three-layered conceptual framework designed to bridge the operational gap between spatial analysis and predictive analytics. Unlike previous siloed models, this architecture geographically anchors predictive algorithms by feeding data mining outputs directly into spatial mapping processes. Ultimately, this approach yields a proactive DSS that equips policymakers with actionable, high-fidelity spatial intelligence, which is vital for significantly enhancing strategic planning, disaster mitigation, and resource allocation in complex urban environments.

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