Articles
Pengaruh Penggunaan Software Cabri 3D Terhadap Minat dan Hasil Belajar Matematika pada Pokok Bahasan Bangun Ruang
Maulana, Ilham;
Saluky, Saluky;
Misri, Muhammad Ali
ITEJ (Information Technology Engineering Journals) Vol 2 No 1 (2017): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v2i1.14
Advances in technology and information can not be separated from the scope of human life including in education. The quality of education will increase as technology completes education because education will grow in harmony with the development of the world. Therefore, it is necessary to hold learning using technology-based learning media, especially computers. Efforts to use instructional media in the classroom is to use the 3D Cabri Software. This study aims to: 1) To determine the student response to the use of 3D Cabri Software on the subject of wake up space. 2) To know interest and learning result of learning on the subject matter of waking up. 3) To find out how much influence the use of 3D Cabri Software to interest and learning outcomes on the subject of wake up space. Cabri 3D Software is a software geometry that is used for visualization and development of reason to build three-dimensional space, it is expected to be the main capital for learners in improving the intelligence of reasoning and visual spatial. The method used in this research is quantitative method with before-after type with purposive sampling sampling technique. The results showed that: 1) Student response to the use of 3D Cabri software has an average of 67% with good category 2) There is influence of the use of 3D Cabri Software to interest and learning result seen from t test, that is t calculate for learning interest equal to 10,600 And t arithmetic for learning result equal to 10,146 and t table equal to 2,048, then t count > from t table. The interpretation is that there is a significant influence on students' interest and learning outcomes. Student learning outcomes increased as seen from the mean score before using the 3D Cabri software obtained 77.38 and the mean score after using the 3D Cabri software was obtained 82.86. While interest in student learning increased seen from the change of questionnaire of student interest before and after that is equal to 4%. Based on this, the 3D Cabri Software is very feasible and helps to serve as a medium in learning mathematics.
Development of Enterprise Architecture Model for Smart City
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 2 No 2 (2017): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v2i2.17
Population development is so fast and half within the city that it creates social problems. In addition, the city also has future challenges such as population growth, poverty, health, safety, energy needs, and pollution levels. The problems and challenges of the city must get the solution through the use of the smart city concept in managing the city. Smart City is a city with a development concept using existing resources effectively and efficiently and can be used to maximize the benefits of citizens through the use of information and communication technology. To build a smart city It takes enterprise architecture as a medium of communication by all the intelligent city stakeholders that can be achieved in accordance with predetermined goals. This research aims to develop the enterprise architecture model by using TOGAF to be used and provide solutions to the problems and challenges of the city through the development of enterprise smart city architecture. The results show that Smart City Enterprise Architecture developed using TOGAF can be used as a reference for smart city development.
Tinjauan Artificial Intelligence untuk Smart Government
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 3 No 1 (2018): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v3i1.22
Higher population growth and urbanization to seek a better life keep the city's population increasing and if not controlled it is estimated that by 2030 it will reach 70% of the urban population. The higher the population then the service to the community must be further enhanced because the city's problems will be more complex. The ability of government to adapt to all changes requires artificial intelligence in order to process the data obtained, understand and provide effective and efficient actions in order to serve all its citizens. The result of this survey study is to present artificial intelligence techniques such as search, reasoning, planning, and learning. Artificial intelligence method that is widely used is an artificial neural network to solve the problem.
Penerapan IoT untuk Kota Cerdas
Marine, Yoni;
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 3 No 1 (2018): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v3i1.24
The Internet of Things (IoT) should be able to handle heterogeneous systems in a transparent and stable manner by providing open access to the selected data subset for the development of a large number of digital services. Building a common architecture for IoT is a very complex task, mainly because of the huge variety of devices, different technologies and services required. In this paper, we focus exclusively on large urban IoT systems. IoT's development is designed to support smart city’s vision to utilize the most advanced communications technologies to support value-added services for city administration and for citizens. The paper provides a comprehensive survey of technologies, protocols, and architectures that allow for urban IoT.
Moving Object Detection on CCTV Surveillance Using the Frame Difference Method
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 4 No 2 (2019): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v4i2.52
In today's computer vision research, many build systems for observing humans and understanding their appearance, activities, and behaviour that provide sophisticated interfaces for interacting with humans, and create plausible human models for various purposes. This paper presents a simple algorithm for detecting moving objects from a static background based on frame differences. First, the first frame is captured via a static camera such as Closed Circuit Television (CCTV) after which a sequence of frames is taken periodically. Second, the absolute difference is calculated between successive frames and the difference in images is stored in the system. Third, the difference image is converted into a grey image and then translated into a binary image. Finally, morphological filtering is carried out to remove noise. In the last process, moving objects can be detected in conditions that do not change much apart from moving objects.
A Survey on Abandoned Objects Detection from CCTV Surveillance
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 5 No 2 (2020): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v5i2.53
Computer Vision is an important and challenging area of ​​research in image processing applied to analytical video. Image data comes from CCTV surveillance which is spread in public places owned by the government, private sector and the public. Supervision is carried out to monitor anomalies in the surrounding environment such as abandoned objects, crowds, theft and others. An abandoned object is one of the anomalies that is important to monitor because it can be categorized as a danger and can also prevent theft of the object left behind, therefore automatic monitoring is needed to prevent adverse events from occurring. In the last decade, a number of publications have been presented in the field of intelligent visual surveillance to detect abandoned objects (AOD). In this paper, we present a state-of-the-art showing the overall progress of the detection of objects that were abandoned or removed from surveillance video in recent years. We include a brief introduction to the detection of abandoned objects with their problems and challenges. The aim of this paper is to provide a review of the literature in the field of recognition of abandoned objects of visual surveillance systems with a general framework for researchers in this field.
The Effect of Online Games on Learning Motivation and Learning Achievement
Santinah, Santinah;
Saluky, Saluky
ITEJ (Information Technology Engineering Journals) Vol 7 No 1 (2022): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v7i1.100
Technological developments make online games increasingly known throughout the community as a means for entertainment and even serve as a sport. This study aims to determine the effect of online games on learning motivation and student achievement. The results of the study show that at a certain level online games can be used as motivation to learn, but at the level of addiction to online games, it is very disturbing for students in learning achievement.
Development of the UTBK Try Out Application with Simulation Methods to Increase Student Scores
Saluky, Saluky;
Marine, Yoni
ITEJ (Information Technology Engineering Journals) Vol 6 No 2 (2021): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
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DOI: 10.24235/itej.v6i2.102
Along with the rapid development of technology today, electronic devices have become commonplace for generation z. One of the uses of the current pandemic era is for learning activities. This computer-based test Tryout application was developed as a student learning tool to face the real exam. Using the simulation method, students can do UTBK tryouts repeatedly until they reach the minimum target requirements. This application is expected to provide convenience for students to know their abilities and can improve their knowledge. So that students can be better prepared for the exam.
Penerapan Algoritma Deteksi Tepi Canny Menggunakan Python Dan Opencv
Saluky;
Yoni Marine
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 5 No. 1 (2023)
Publisher : Primakara University
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DOI: 10.59356/smart-techno.v5i1.73
Abstract: Object detection is one step in object recognition in the field of computer vision. The edges of the image characterize the boundaries that distinguish it from other objects and are therefore a very important problem in image processing. Accurate Image Edge Detection can significantly reduce the amount of data and filter out useless information while retaining important structural properties in the image. Since edge detection is at the forefront of image processing for object detection, it is very important to have a good understanding of edge detection algorithms. In this study, applying canny edge detection using python and OpenCV and also compared with other image processing methods. The result is that Canny edge detection has a better performance compared to other algorithms such as LoG (Laplacian of Gaussian), Robert, Prewitt and Sobel.
A Review: Application of AIOT in Smart Cities in Industry 4.0 and Society 5.0
Saluky;
Yoni Marine
International Journal of Smart Systems Vol. 1 No. 1 (2023): February
Publisher : Etunas
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DOI: 10.63876/ijss.v1i1.1
This review paper explores the application of Artificial Intelligence of Things (AIOT) in smart cities under the contexts of Industry 4.0 and Society 5.0. The main objective of the paper is to analyze and evaluate the latest developments and implementations of AIOT in smart cities, and to provide insights on the potential benefits, challenges, and future research directions. The study uses a systematic literature review approach and synthesizes relevant literature from various sources. The results indicate that AIOT has immense potential to revolutionize the way smart cities operate by enhancing the efficiency, sustainability, and livability of urban spaces. However, the adoption of AIOT also poses several challenges such as security, privacy, and ethical concerns. The paper concludes that a more collaborative and interdisciplinary approach is needed to fully realize the potential of AIOT in smart cities and address the challenges that come with it. The findings of this review provide useful insights for policymakers, practitioners, and researchers interested in the development and implementation of AIOT in smart cities.