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International Journal of Information Engineering and Science
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30481902     EISSN : 30481953     DOI : 10.62951
Core Subject : Engineering,
Engineering
The scope of the this Journal covers the fields of Information Engineering and Science. This journal is a means of publication and a place to share research and development work in the field of technology
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 27 Documents
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Expert System for Autoclave Damage Detection Using the Fuzzy Logic Method Ilham M Rusdiyanto; Sri Arttini Dwi Prasetyowati; Eka Nuryanto Budisusila
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i4.124

Abstract

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.
Black Box Testing on the Wingpos Website Using the Equivalence Partitioning Technique Nadhifah, Jauza; Muhammad Al Amin; Capriandika Putra Susanto; Muhammad Galuh Gumelar; Anka Luffi Ramdani; Mindara, Gema Parasti; Wicaksono, Aditya
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i4.128

Abstract

In the digital business environment, web-based Point of Sale (POS) systems play a vital role in supporting transaction processing, inventory management, and operational decision-making. Ensuring the functional reliability of such systems is essential, particularly in critical authentication features that regulate user access. However, undetected functional errors within login and registration modules may disrupt operations, compromise data integrity, and reduce user experience quality. Therefore, this study aims to evaluate the functionality of the Wingpos website, focusing specifically on the login and registration features. The research applies the Black Box Testing approach using the Equivalence Partitioning technique, which enables systematic functional validation by classifying input data into representative valid and invalid partitions without requiring access to source code. The testing process involved designing structured test cases, executing input scenarios, and comparing actual system outputs with expected results. The findings reveal that most authentication processes function in accordance with system specifications, as seven out of ten test scenarios produced expected outcomes. Nevertheless, three discrepancies were identified, including inconsistent error message validation in the login feature and the system’s inability to properly verify invalid email domains during registration. These results indicate that while the system demonstrates general functional reliability, certain validation mechanisms require refinement. In conclusion, the application of Black Box Testing with the Equivalence Partitioning technique proves effective in identifying functional gaps and supporting quality assurance processes in web-based POS systems, particularly in strengthening authentication feature reliability and improving overall system performance
The Role of Evaloexam in Fostering Technological Innovation and Entrepreneurship in Education Ekky Mulia Lasardi; Saniyyah Wafa Nurjihan; Dimas Akbar Tama; Wien Kuntari
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.132

Abstract

Innovation in the education sector has become increasingly important alongside the rapid advancement of digital technology, which has enabled the emergence of various platforms and applications designed to enhance teaching and learning quality. One area significantly impacted by this transformation is educational evaluation, where digital solutions offer more efficient, accurate, and data-driven assessment processes. This study aims to identify and analyze the role of the Evaloexam application in driving educational innovation while fostering the development of technological entrepreneurship among its users. The research employed a quantitative methodology using a survey approach involving educators and students at the senior high school (SMA) level who actively utilize the Evaloexam platform. A total of 100 respondents were selected through random sampling techniques, and data were collected over one month using structured online questionnaires. The collected data were analyzed using both descriptive and inferential statistical methods to measure user perceptions, system effectiveness, and innovation impact. The findings indicate that Evaloexam plays a significant role in facilitating educational evaluation processes by streamlining exam administration, automating grading, and providing analytical insights into student performance. These capabilities contribute to improved efficiency, reduced administrative workload, and more objective assessment practices. Furthermore, the application encourages the development of technological entrepreneurship by stimulating user interest in digital product innovation, educational technology development, and technology-based problem solving. The results are consistent with prior studies emphasizing the positive relationship between technology integration and improvements in educational effectiveness and operational efficiency. Practically, this research suggests that Evaloexam and similar digital evaluation platforms hold strong potential for broader implementation within educational systems to support innovation ecosystems and technology-driven learning environments. However, this study is limited by its relatively small sample size, focus on a single application, and short data collection timeframe. Future research is recommended to involve larger and more diverse populations, extended study durations, and comparative analyses across multiple evaluation platforms to obtain more comprehensive findings.
Information System Audit on the Catatmak Application on the Web and Playstore Using the Cobit Framework for Financial Recording : Study Case : Application Note Fariz Nur Fikri Zaki; Putri Awaliatuz Zahra; Vidia Alma Cyrilla; Wahyu Latifatun; Jeffri Prayitno Bangkit Saputra
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.135

Abstract

PT Jadi Kaya Raya Bersama, founded in 2024 in Banyumas, Indonesia, focuses on providing reliable financial recording solutions for Micro, Small, and Medium Enterprises (MSMEs) through fintech-based applications. The platform is designed to support transaction recording, financial monitoring, and reporting processes to improve MSME financial management. Despite its significant potential, several technical issues have hindered the application’s performance and service quality. Key problems identified include disruptions in the WhatsApp Bot API, user authentication errors, and the lack of integration with banking systems and digital wallet services. These challenges affect transaction recording accuracy, operational efficiency, and the security of user financial data. To identify the root causes of these issues and propose appropriate solutions, a system audit was conducted using the COBIT framework as a governance and management evaluation tool. The audit process involved assessing system performance, control mechanisms, and IT service management practices. The results indicate that API disruptions were primarily caused by network instability and configuration errors, which led to interruptions in automated transaction recording services. Meanwhile, authentication problems were associated with weak login mechanisms and insufficient identity verification processes. In addition, the application’s inability to integrate with banking and e-money services created limitations in transaction synchronization and reduced overall user convenience. Based on these findings, several strategic recommendations are proposed. These include optimizing API performance, strengthening authentication systems through the implementation of Two-Factor Authentication (2FA), and developing integration capabilities with banking institutions and digital wallet platforms. The implementation of these improvements is expected to enhance system efficiency, data security, and service quality. Ultimately, strengthening the fintech application’s performance will support MSMEs financial management and contribute to sustainable digital economic growth in Indonesia.
Optimizing Shortest Job First (SJF) Scheduling through Random Forest Regression for Accurate Job Execution Time Prediction Aditya Putra Ramdani; Achmad Solichan; Basirudin Ansor; Muhammad Zainudin Al Amin; Nova Christina Sari; Kilala Mahadewi
International Journal of Information Engineering and Science Vol. 1 No. 3 (2024): August : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i3.138

Abstract

One of the CPU scheduling methods that is frequently used to reduce waiting time and average execution time is Shortest Job First (SJF). However, this algorithm's accuracy is largelbravy dependent on how well the job execution time is predicted. The purpose of this study is to enhance work execution time estimates by optimizing the SJF algorithm through the use of the Random Forest Regression model. The model in this study is trained using historical job data. The test results demonstrate how Random Forest Regression may be included into SJF to greatly increase system efficiency, especially in terms of throughput and waiting time reduction.
Comparative Investigation of Activity Rendering Utilizing Eevee, Cycles, and Radeon ProRender Procedures in Blender Applications Ira Zulfa; Richasanty Septima; Iryana Rezeki; Rayuwati Rayuwati
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.147

Abstract

The rapid development of multimedia technology has significantly advanced 3D animation techniques, enabling the production of high-quality visual content across industries such as film, gaming, architecture, and product visualization. Rendering, as the final stage of the 3D production pipeline, plays a crucial role in determining both visual realism and production efficiency. This study compares the performance of three rendering engines—Eevee, Cycles, and Radeon ProRender—by evaluating rendering speed, visual quality, and memory efficiency in Blender. The objective is to provide practical insights for designers and digital content creators in selecting the most suitable rendering engine based on project requirements. In this research, three identical 3D scenes were rendered using each of the three rendering engines under controlled experimental conditions. The comparison was conducted based on several parameters, including rendering time, output file size, shadow accuracy, lighting effects, and overall visual realism. Quantitative measurements were used to evaluate render speed and memory consumption, while qualitative analysis assessed differences in shadow detail, global illumination behavior, reflection accuracy, and material realism. The results indicate that Eevee outperforms the other engines in terms of rendering speed, making it highly suitable for real-time applications and projects requiring fast previews. Cycles produces the highest level of visual realism due to its physically based path-tracing algorithm, although it requires longer rendering time and higher computational resources. Meanwhile, Radeon ProRender demonstrates competitive performance, particularly in shadow quality and lighting effects, offering a balanced alternative between realism and efficiency. Based on the findings, Blender remains a flexible and effective platform. The choice of rendering engine should depend on whether speed, graphic quality, or memory optimization is prioritized.
Detecting Phishing URLs with CNN - Decision Tree Method Reza Aminullah; Fetty Tri Anggraeny; Fawwaz Ali Akbar
International Journal of Information Engineering and Science Vol. 2 No. 2 (2025): May : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.222

Abstract

This research focuses on assessing the efficacy of a method that integrates Convolutional Neural Networks (CNN) with Decision Trees for the detection of phishing URLs. Phishing represents a major cyber threat, where cybercriminals attempt to deceive individuals into disclosing sensitive information via fraudulent websites. As the frequency of phishing attacks continues to rise, there is a pressing need for effective detection and prevention strategies. In this investigation, a dataset comprising both phishing and legitimate URLs was utilized to train a CNN-Decision Tree model. The training phase includes feature extraction from URLs using CNN, which excels at identifying intricate patterns within the data, followed by classification through Decision Trees, recognized for their capacity to deliver straightforward and comprehensible interpretations of classification outcomes. The model's performance was evaluated across nine distinct scenarios to assess its effectiveness under varying conditions. The results indicated that the hybrid CNN-Decision Tree model achieved a precision rate of 94%, a recall of 90%, and an F1-Score of 92%, with an overall accuracy of 93%. These findings suggest that the model is not only proficient in identifying phishing URLs but also maintains a commendable balance between precision and recall. This research highlights that the synergy of CNN and Decision Trees can serve as a potent solution for phishing URL detection, significantly contributing to the advancement of enhanced cybersecurity systems.
Fish Farmers' Perceptions of the Role of Fisheries Extension Workers in Developing Aquaculture Businesses in Loa Kulu Baiq Sulistyo Rini; Helminuddin Helminuddin; Fitriyana Fitriyana
International Journal of Information Engineering and Science Vol. 2 No. 2 (2025): May : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.243

Abstract

Fisheries extension services play a strategic role in strengthening the capacity of fish farmers and accelerating the development of sustainable aquaculture businesses. The effectiveness of extension activities is strongly influenced by how fish farmers perceive the roles performed by fisheries extension workers. This study aims to analyze the level of fish farmers’ perceptions of the role of fisheries extension workers in developing aquaculture businesses in Loa Kulu District, Kutai Kartanegara Regency. In addition, this research examines the characteristics of fish farmers and analyzes the relationship between internal and external factors and the level of perception toward extension roles. This study employed a descriptive and correlational research design using both qualitative and quantitative approaches. A total of 42 respondents were selected from 719 fish farmers using the Slovin formula with a 15% margin of error and proportionate stratified random sampling across 10 villages. Data were collected through structured questionnaires using a Likert scale and analyzed using descriptive statistics and Spearman's rank correlation analysis. The results indicate that the overall perception of fish farmers toward the roles of fisheries extension workers—namely as educators, facilitators, motivators, innovators, advocates, organizers, and evaluators—falls within the high category. Among these roles, the organizer and facilitator roles received the highest perception scores. Internal factors such as age, income, and land area showed significant correlations with certain extension roles, particularly the roles of educator, motivator, and evaluator. External factors, including interaction with extension workers, interaction with traders, availability of market information, and access to aquaculture science and technology, were also significantly correlated with perception levels. These findings suggest that strengthening both socio-economic conditions and access to information and technology can enhance positive perceptions of extension services, ultimately contributing to more effective aquaculture development programs. The study highlights the importance of optimizing extension performance to sustain fish farmers’ productivity and welfare improvement.
Design of Mortality Data Processing Information System to Support Accuracy of Mortality Reporting at Hermina Arcamanik Hospital Dita Alfiani Widi Saputri; Yuda Syahidin; Sali Setiatin
International Journal of Information Engineering and Science Vol. 2 No. 2 (2025): May : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.244

Abstract

Technology that develops very rapidly brings many changes, especially in the development of medical records in hospitals that are increasing. Electronic medical records bring many benefits, one of which is improving the quality of services in hospitals. The medical records used at Hermina Arcamanik Hospital are mostly electronic-based, including reporting. However, problems were found in the medical record installation, namely, there were several reports that had not been managed optimally. This is because reporting still uses google spreadsheets which requires data to be moved manually one by one, so it takes a long time, and the quality of reporting becomes less accurate. A real example of this problem can be seen in the process of reporting patient Mortalitys. Meanwhile, accurate and systematic reporting of Mortality data is essential in supporting decision-making in hospitals. Therefore, the design of a patient Mortality reporting information system is urgently needed to make time efficient and improve the quality of reports. The method used in designing this system is extreme programming and web-based. The results of this information system design are able to shorten the time to make Mortality reports and can produce accurate data
Optimizing Administrative Efficiency in Sewing Course Management : A Web-Based Application for Participant Registration and Attendance Monitoring at Bandung Vision Centre Dani Rizky Zaelani; Budiman Budiman; R. Yadi Rakhman Alamsyah
International Journal of Information Engineering and Science Vol. 2 No. 3 (2025): August : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.251

Abstract

The rapid growth of the fashion industry in Indonesia, particularly in Bandung, has increased the demand for structured and efficient sewing course management. Bandung Vision Center, as one of the institutions providing sewing training, faces significant administrative challenges due to the continued use of manual registration and attendance monitoring systems. These conventional processes result in data inaccuracies, slow information retrieval, limited transparency, and difficulties in monitoring participant progress across multiple training waves. This study aims to design and develop a web-based application to optimize participant registration and attendance monitoring processes at Bandung Vision Center. The research adopts an Agile software development methodology to ensure iterative development, flexibility, and responsiveness to user requirements. The system is implemented using the Laravel framework for backend development, ReactJS for frontend interface design, and MySQL as the relational database management system. System modelling is conducted using UML diagrams, and functionality testing is performed using the black-box testing method. The results indicate that the developed application significantly improves administrative efficiency, enhances data accuracy, and enables real-time monitoring of participant attendance. Additionally, the system increases transparency, facilitates structured data management, and supports better decision-making for course administrators. The implementation of this web-based application demonstrates its effectiveness in modernizing administrative processes and strengthening institutional competitiveness in the local fashion education sector. Future enhancements may include integration of online payment features, automated notifications, and advanced data analytics to further improve service quality and user satisfaction.

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