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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v2i2.17

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v3i1.22

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v3i1.24

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v4i2.52

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v5i2.53

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v7i1.100

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v6i2.102

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v5i1.73

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijss.v1i1.1

Abstract

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.
The Effectiveness of Using WordPress CMS as an Interactive Learning Media on Students' Mathematical Problem Solving Ability Alfat, Chaerul; Saluky; Widodo Winarso
Universal Education Jurnal Teaching and Learning Vol 2 No 2 (2025): April-June Edition
Publisher : Universal Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63081/uejtl.v2i2.50

Abstract

Students’ mathematical problem-solving abilities remain low due to the lack of interactive media and technological limitations in learning. Previous studies have primarily focused on the practicality, validity, and effectiveness of learning media in improving student achievement. This study offers a new contribution by specifically examining the effectiveness of WordPress-based CMS in enhancing students’ mathematical problem-solving skills. The research aims to investigate the effectiveness of using WordPress CMS as an interactive learning medium for students at MTs Negeri 11 Cirebon. A quasi-experimental design was employed, involving an experimental group using WordPress CMS and a control group using conventional media. The findings indicate that students’ acceptance of the WordPress-based learning media was in the good category (86.32%). There was an increase in post-test scores (86.05) compared to pre-test scores (31.67), with classical mastery reaching 93%. The effect test showed that the use of WordPress CMS had a significant influence on problem-solving ability, contributing 64.6%. An independent sample t-test revealed a significant difference between the experimental and control classes, with an N-Gain of 79.28% (effective) in the experimental group and only 22.6% (ineffective) in the control group. The study is limited by its sample scope and the specific features of CMS used. The findings suggest that WordPress CMS can serve as an innovative tool in digital mathematics learning, providing a more interactive and effective learning experience. Academically, this study enriches the discourse on digital media development and encourages the integration of CMS platforms into technology-based mathematics instruction.