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ITEj (Information Technology Engineering Journals)
Published by Universitas Islam Negeri Siber Syekh Nurjati Cirebon
ISSN : 25482130     EISSN : 25482157     DOI : https://doi.org/10.24235/itej.v5i2
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics
ITEj (Information Technology Engineering Journals) is an international standard, open access, and peer-reviewed journal to discuss new findings in software engineering and information technology. The journal publishes original research articles and case studies focused on e-learning and information technology. All papers are peer-reviewed by reviewers. The scope of the system discussed is attached but not limited; Systems and software engineering Artificial Intelligence Technology (AI) and Machine Learning Internet of Thing and Big Data Smart Education systems and components Computer Vision Information Technology etc
Arjuna Subject : -
Articles 119 Documents
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Designing a Web-Based Information System for Scholarship Management: Supporting Access and Rapid Dissemination of Information Al-Ayyubi, Muhammad Shalahuddin Al-Ayyubi; Maulana, Bachtiar
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.111

Abstract

This abstract presents the design of a web-based information system aimed at enhancing the management of scholarships by facilitating quick access to information and efficient dissemination of relevant updates. Scholarships play a crucial role in providing financial assistance to students and enabling them to pursue quality education. However, the existing manual processes and fragmented information systems often lead to challenges in accessing scholarship details and timely dissemination of information. The proposed system addresses these challenges by leveraging web-based technologies and designing an integrated platform for efficient scholarship management. The system incorporates features such as a centralized database, user-friendly interface, and robust search functionality to enable seamless access to scholarship information. By adopting a web-based approach, the system ensures accessibility from various devices, including desktop computers, laptops, and mobile devices. Moreover, the system emphasizes the importance of fast information dissemination. It enables real-time updates and notifications to keep students, scholarship providers, and other stakeholders informed about application deadlines, eligibility criteria, and any changes in the scholarship programs. Additionally, the system allows for personalized notifications, ensuring that users receive relevant updates based on their preferences and areas of interest. The design of the web-based information system prioritizes security and privacy by implementing stringent authentication mechanisms and encrypted data transmission. It also incorporates features for efficient application submission, document management, and evaluation processes, streamlining the entire scholarship lifecycle. The expected benefits of implementing this system include improved accessibility to scholarship opportunities, reduced administrative overhead, increased transparency in the selection process, and enhanced collaboration among scholarship providers and educational institutions. By leveraging the power of web technologies, the proposed system aims to revolutionize the management of scholarships, ultimately promoting equal educational opportunities and fostering academic excellence.
Application of a Technology-Based Data Collection System for the Writing Class of the IAIN Cirebon Student Da'wah Institute Irani, Yolanda Silpia; Azzahra, Salsabiela
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.112

Abstract

Effective data management plays a crucial role in optimizing the performance of educational institutions. This study aims to explore the implementation of a technology-based data management system for writing classes in the Student Preaching Institution of the State Islamic Institute (IAIN) Cirebon. The objective is to improve the efficiency and effectiveness of data collection, storage, and analysis, ultimately enhancing the overall quality of the writing classes. This research utilizes a mixed-methods approach, incorporating qualitative and quantitative data collection techniques. Firstly, a comprehensive review of the existing data management practices is conducted to identify the limitations and challenges faced by the institution. Secondly, a technology-based data management system is developed, integrating modern tools and techniques to streamline the data collection process. The system is designed to facilitate easy data entry, retrieval, and analysis, ensuring accurate and reliable information for decision-making purposes. The implementation of the technology-based data management system is evaluated through a series of case studies and interviews with relevant stakeholders. The findings reveal several significant benefits, including increased efficiency in data management, improved accuracy in reporting, and enhanced collaboration among the stakeholders involved in the writing classes. Moreover, the system enables the institution to track the progress of individual students, identify their strengths and weaknesses, and provide targeted interventions to support their learning and development. The results of this study contribute to the growing body of literature on the application of technology in educational institutions. The findings highlight the importance of leveraging technology to optimize data management processes, particularly in the context of writing classes in the Student Preaching Institution of IAIN Cirebon. The insights gained from this research can serve as a valuable resource for other educational institutions seeking to enhance their data management practices and improve the overall quality of their programs.
IoT- Based Smart Security System Using Infrared Sensor as Motion Detector Ariwibowo, Muhamad Riyad; Juhaeriyah, Juju; Nugroho, Edo Agung; Mutaqim, Rendi
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.109

Abstract

Today’s security system requires the support of new technology to make it easier to monitor remotely and maintain valuables stored at home in real time. Internet of things technology has now been widely developed with various types of electronic components applied. So, from these problems providing innovation with the development of a remote security system applied to the FC-51 infrared sensor and ESP8266 as it’s control. The infrared sensor receives input signals in the form of objects detected and received by ESP8266 to be sent information to the server to be notified of messages from the Blynk platform to mobile devices. The results of this study prove, that the smart security system with IoT – based infrared sensor is able to detect the optimal distance obtained < 30cm and the shape of different objects determines the level of accuracy of the sensor.
Improvement of Vehicle detection and classification performance with Region of Interest Đức, Trần Minh; Hương, Nguyễn Thị
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.116

Abstract

This Abstract-Paper presents an innovative approach to improve the performance of vehicle detection and classification in the context of computer vision. This study proposes the use of Region of Interest (ROI) to identify and process vehicle information in traffic images. The proposed method is based on a combination of deep learning-based object detection algorithms with a more focused ROI-based approach. First, we use state-of-the-art convolution neural networks to perform object detection in traffic images, which involves a visual recognition process to identify vehicle locations. Then, using ROI, we reorder and reduce the dimensions of irrelevant data to remove background areas and increase attention to vehicle objects. This aims to reduce the computational load and speed up the detection and classification processes. We evaluate the proposed approach on a wide traffic dataset and compare the results with conventional object detection approaches without using ROI. The experimental results show that the proposed method outperforms the conventional approach in terms of vehicle detection speed and accuracy. In conclusion, this study succeeded in improving the performance of vehicle detection and classification by leveraging Region of Interest, which allows better focus on relevant regions and reduces computational complexity. These results can make an important contribution to the development of a more efficient and reliable traffic control and transportation system.
An In-Depth Analysis of Smart Service Systems: Exploring Concepts and Overcoming Challenges Prasetya, Angga; Wibawa, Rusman; Riche, Paranita
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.117

Abstract

This comprehensive survey delves into the realm of Smart Service Systems, aiming to provide an in-depth analysis of its fundamental concepts and address the challenges faced in its implementation. Smart Service Systems represent a transformative paradigm that leverages cutting-edge technologies, such as artificial intelligence, Internet of Things, and cloud computing, to enhance the efficiency, effectiveness, and personalization of service delivery. The paper explores the key components and underlying principles that form the backbone of these systems, shedding light on their potential applications and benefits across various domains. However, the realization of Smart Service Systems comes with a set of formidable challenges that need to be tackled. These challenges encompass technical, ethical, legal, and societal aspects, among others. By examining and understanding these obstacles, the paper aims to propose potential strategies and solutions to overcome them. The analysis is further enriched with case studies and real-world examples to provide valuable insights for researchers, practitioners, and policymakers. In conclusion, this survey serves as a comprehensive resource for the exploration of Smart Service Systems, illuminating the path towards harnessing their full potential while addressing the complexities they present. It is hoped that this work will inspire further research and foster advancements in this burgeoning field, ultimately leading to the widespread adoption and integration of intelligent service systems for a more efficient and sustainable future.
Interaction Design For Implementation Multi-Window on Smartphone Aristides, Samuel; Lubis, Fetty Fitriyanti
ITEJ (Information Technology Engineering Journals) Vol 8 No 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.118

Abstract

The use of smartphones varies from person to person, and one of the uses that requires attention is multitasking using a smartphone. Multitasking is usually done on computers, but the increase in smartphones’ screen size and RAM capacity makes it an option for multitasking. The implementation of multitasking on smartphones still has weaknesses, and this final project aims to create an interaction design that overcomes these weaknesses. The method used is user-centered design with problem analysis through questionnaires and current implementation analysis, followed by determining needs, followed by creating low fidelity and high fidelity designs, and finally testing those designs. Two iterations of the design resulted in a final design that has a SUS score of 91 (Grade A), an ease of use score that is not lower than 6.3 out of 7, a task completion rate of 100%, and icons that are almost entirely easy to find with a time-to-locate time of 0-5 seconds. The final design can be implemented on Android, but implementation on iOS needs to wait for its software to support the proposed solution.
Comparison Of Sentiment Analysis Of Traveloka And Tiket.Com Applications On Twitter Using The Naive Bayes Method Agustiana, Nathifa; Pratiwi, Oktariani Nurul; Fakhrurroja, Hanif
ITEJ (Information Technology Engineering Journals) Vol 8 No 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.119

Abstract

The country of Indonesia has a strategic geographical position and is also said to be a country that is very rich in natural resources and cultural diversity. One of the supporters of economic growth in Indonesia is tourism. To support the potential of the tourism sector in Indonesia, many online travel agent applications have started to appear. Of the many OTAs, the top two applications were selected, namely the Traveloka and Tiket.com applications. This sentiment analysis requires data from Twitter. This research compares sentiment analysis on the Traveloka and Tiket.com applications in terms of price and service. The method used is naïve Bayes. The goal is to get sentiment information contained in a text with a positive or negative view. With this research, it is hoped that we can see a comparison of sentiment analysis between the Traveloka and Tiket.com applications and be able to find out the level of accuracy of naïve bayes on the Traveloka and Tiket.com applications. The price dataset that gets more positive sentiment is the Traveloka price of 97.2%. In the service dataset that has positive sentiment, Tiket.com is 46.9%. Then, the greatest accuracy was obtained after oversampling the Tiket.com price dataset by 73%, Traveloka prices by 94%, Ticket services by 87% and Traveloka services by 86%.
Design of a Soil Nutrient Measuring Device for NPK (Nitrogen, Phosphorus, Potassium) Case Study of Cayenne Pepper Based on Arduino Nano V3 ATmega328P Arafat, Agil Soni; Yuliati, Ari; Manova M, R. Yovi
ITEJ (Information Technology Engineering Journals) Vol 8 No 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.120

Abstract

Fertile soil electronic soil is essential for plant growth, and its quality significantly impacts crop yields. To help farmers measure the nutrient content of their soil more easily and accurately, innovative technology is required. In this case study, we present the design of a soil nutrient measuring device for Nitrogen, Phosphorus, and Potassium (NPK) that focuses on cayenne pepper. The device uses NPK sensors that can detect soil nutrients when inserted into the ground. The data collected by the sensors is sent to an ARDUINO Nano V3 ATMEGA328P, where it is processed and displayed as analog signals on a screen. The device can be customized according to the user's testing or cultivation needs, making it a useful tool for optimizing plant growth and crop yields.
Enhancing Urban Safety: The Role of Object Detection in Smart City Surveillance Systems Dharany, Kosal; Trinita, Mariam
ITEJ (Information Technology Engineering Journals) Vol 8 No 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.122

Abstract

Urban safety is a critical concern in the development and management of smart cities. This article explores the transformative role of object detection technology in enhancing surveillance systems within these urban environments. Object detection, a subset of computer vision, enables the automated identification and tracking of various objects, such as vehicles, pedestrians, and unusual activities, in real-time. By integrating advanced object detection algorithms with existing surveillance infrastructures, smart cities can significantly improve public safety and response times. This paper reviews the current state of object detection technologies, their applications in urban surveillance, and the benefits they offer, including increased situational awareness, crime prevention, and efficient emergency management. Additionally, the article discusses challenges and future directions for research and development in this field, emphasizing the importance of ethical considerations and data privacy in the deployment of these technologies. Through case studies and practical examples, we illustrate how object detection is reshaping urban safety and contributing to the creation of more secure and resilient smart cities.
A Comparative Analysis of Modern Object Detection Algorithms: YOLO vs. SSD vs. Faster R-CNN Aboyomi, Dalmar Dakari; Daniel, Cleo
ITEJ (Information Technology Engineering Journals) Vol 8 No 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.123

Abstract

In recent years, object detection has become a crucial component in various computer vision applications, including autonomous driving, surveillance, and image recognition. This study provides a comprehensive comparative analysis of three prominent object detection algorithms: You Only Look Once (YOLO), Single Shot MultiBox Detector (SSD), and Faster Region-Based Convolutional Neural Networks (Faster R-CNN). The background of this research lies in the growing need for efficient and accurate object detection methods that can operate in real-time. YOLO is known for its speed, SSD for its balance between speed and accuracy, and Faster R-CNN for its high detection accuracy, albeit at a slower pace. The methodology involves implementing these algorithms on a standardized dataset and evaluating their performance based on various metrics, including detection accuracy, processing speed, and computational resource requirements. Each algorithm is tested under similar conditions to ensure a fair comparison. The results indicate that while YOLO excels in real-time applications due to its high speed, SSD offers a middle ground with respectable accuracy and speed, making it suitable for applications requiring a balance of both. Faster R-CNN demonstrates superior accuracy, making it ideal for scenarios where detection precision is paramount, despite its slower performance. This comparative analysis highlights the strengths and weaknesses of each algorithm, providing valuable insights for researchers and practitioners in selecting the appropriate object detection method for their specific needs.

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