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INDONESIA
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 37 Documents
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Parking Slot Scanning for Maximum Efficiency Using Python Faras, Algyon; Andisa, Gany; Nashwandra, Nakula Bintang; Nadhifah, Jauza; Widhiwipati, David Reza; Giri, Endang Purnama; Mindara, Gema Parasti
International Journal of Information Engineering and Science Vol. 1 No. 4 (2024): November : 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.v1i4.122

Abstract

The growing number of vehicles in major cities has posed significant challenges in parking lot management. Motorists often have difficulty finding empty parking slots quickly, which not only wastes time but also aggravates traffic congestion and increases air pollution. This research develops a Python-based smart parking system by utilizing the OpenCV library to detect the status of parking slots in real-time. The system uses a camera as the main sensor and processes the image using techniques such as grayscale, Gaussian blur, and adaptive threshold to identify the parking slot status, whether empty or occupied, with good accuracy. The parking slot coordinate data is stored in CSV format to ensure efficient data management. Experimental results with video recordings show that the system is able to operate well in various parking conditions. The system proved to be cost-effective and easy to implement, making it an ideal solution for parking managers who want to improve management efficiency without being burdened with high costs. This research offers a practical solution to help motorists and parking managers optimize parking space usage, reduce search time, and minimize negative impacts such as congestion and carbon emissions.
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. 1 No. 4 (2024): November : 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

As a resource supporting public health services, management of electromedical equipment must be carried out quickly, accurately and integratedly so that function, safety, security and benefits can be optimized. The management of electromedical equipment is regulated in the Republic of Indonesia Minister of Health Regulation Number 65 of 2016 concerning Electromedical Service Standards. The expected result of this research is an expert system that can accurately detect damage to sterile electromedical equipment, especially autoclaves. This expert system can then assist electromedical technicians in finding damage and as an assessment in making decisions for appropriate and validated actions to be taken. From the results of testing and analysis of the expert system for detecting damage to Autoclaves using the fuzzy logic method, the following conclusions were obtained. The damage detection expert system application in the Autoclave has been proven to be able to provide 100% diagnosis results. This system can assess the degree of damage of 11.6235981%. based on the input symptoms provided, thus providing decisions that are close to the actual conditions. The expert system built is able to speed up the damage detection process compared to manual methods. This helps in taking quicker action to prevent further damage to the autoclave.
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. 1 No. 4 (2024): November : 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 age, efficient sales transaction management is crucial for business success. Point of Sale (POS) systems, such as Wingpos, are a solution for transaction recording, inventory management, sales reporting, and data analysis. However, software errors can disrupt operations and compromise security aspects. This research aims to assess the functionality and quality of the Wingpos website by using the Black Box Testing method, which tests software by comparing actual outputs to expected results based on given inputs. The Equivalence Partitioning technique was applied to focus on testing functional aspects of the login and register features. Through this testing, technical insights into the quality of the Wingpos software were gained, as well as a systematic approach to web-based application testing. The results of the study are expected to improve user experience and serve as a reference in the development of similar systems in the future.
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 essential with the advancement of digital technology, creating various new platforms and applications to enhance the quality of learning. This study aims to identify the role of Evaloexam in driving innovation in the education sector and fostering a spirit of technological entrepreneurship. The methodology used is quantitative research with a survey approach, involving educators and students who use Evaloexam in high schools (SMA). A total of 100 respondents were randomly selected, and data was collected through online questionnaires over one month. Data analysis was conducted using descriptive and inferential statistics. The research findings show that Evaloexam significantly contributes to facilitating the educational evaluation process and encouraging innovation in new ways of assessing and analyzing student learning performance. This application also sparks interest in technological entrepreneurship among students and educators. The research results also match the findings of previous studies that support the integration of technology in education for improved performance and efficiency. The practical implications of this research are that Evaloexam and similar applications can be more widely integrated into the education system to support innovation and the technological entrepreneurship ecosystem. However, this study is limited to a small sample and one type of evaluation application with a limited data collection period. For future research, it is recommended to involve a larger sample size, a longer duration, and to compare various evaluation applications to obtain more comprehensive insights.
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, which was founded in 2024 in Banyumas , Indonesia, focuses on providing solution recording reliable finance​ for Micro , Small and Medium Enterprises (MSMEs) through fintech applications . Although application This own potential big , a number of problem technical hinder its performance , including disruption in WhatsApp Bot API, error authentication users , and the lack of integration with system banking as well as digital wallet . Problems This influence accuracy recording transactions , efficiency operational , and user data security . For identify reason problems and provide the right solution , conduct a system audit with use COBIT framework . The audit results showed that API disruptions are caused by instability network and errors configuration , while problem authentication related with weak login mechanism . Inability application For integrated with service banking and e-money are obstacles comfort users . Therefore that , it is recommended For do API optimization , improving system authentication with authentication two factor (2FA), as well as develop integration with service banking and e-money. Improvements This expected can increase efficiency , safety and quality service PT Jadi Kaya Raya Bersama fintech application , which in the end support growth of MSMEs 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 development of mixed-media technology has produced a variety of high-quality 3D animation techniques. This study examines the performance of three rendering techniques—Eevee, Cycles, and Radeon ProRender—based on rendering speed, visual quality, and memory efficiency. Tiga show 3D is rendered using the aforementioned ketiga technique and is compared in terms of speed, record size, bayangan, cahaya effect, and warning ketetapan. As a result, Eevee is unggul in kecepatan, while Cycles has the best visual quality, albeit being more lambat. Radeon ProRender provides impressive results, but it also excels in bayangan quality and cahaya effect. The use of Blender is recommended based on memory efficiency, graphic quality, or speed priorities.
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

The aim of this research was to analyze the perception of fish farmers towards the role of fisheries extension workers in fostering fish farming businesses in Loa Kulu District, Kutai Kartanegara Regency. This study used the method of analyzing the level of perception of fish farmers; analysis of the profile and characteristics of fish farmers; and Spearman Rank correlation analysis. The results showed that the level of perception of fish farmers towards the role of fisheries extension workers as educators, facilitators, motivators, innovators, advocates, organizers and evaluators was included in the high/good category. The fish farmers in this study consisted of 37 men and 5 women with different characteristics. Internal factors (age, income and land area) and external factors (interaction with extension workers; interaction with traders; availability of market information and availability of aquaculture science and technology) were significantly correlated with the perception of fish farmers towards fisheries extension workers
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

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