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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 214 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.

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