cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Saluky
Contact Email
luke4line@yahoo.com
Phone
+6289604331800
Journal Mail Official
itej@syekhnurjati.ac.id
Editorial Address
Jl. Perjuangan Sunyaragi Cirebon Gedung K Kampus Utama IAIN Syekh Nurjati Cirebon
Location
Kota cirebon,
Jawa barat
INDONESIA
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
 3   4   5   6   7 
Design and Implementation of Web-Based Helpdesk Information Systems Using Extreme Programming Methods Wicaksono, Freddy; Baswara, Orin Satriani
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.v5i2.44

Abstract

Technological developments have become a necessity for job optimization, be it desktop, web or mobile-based software, of course this really supports work with fast, timely completion, without spending a lot of effort and money. The Help Desk is a facilitator for the process of solving operational problems, through communication and interaction networks, internal and external, between the source of the problem (the client) and the potential / problem solving analysis capacity (experts) so that the Asset Management process becomes more effective in improving unit performance. Its operational implementation refers to the principles in the concept of Knowledge Management. Extreme programming is a method that lightens the burden or speeds up the software development process, the characteristics of this method are in accordance with this study which has a small number of team members. This method is flexible so that it can adapt to the changes that customers want. With this the user becomes easier for system development
The Use of Learning Media Motion Graphics Towards Students Mathematical Understanding Rahadi, Ikman Nurhakim; Darwan, Darwan; Handoko, Hendri
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.v5i2.45

Abstract

Learning about the concept and structure of a mathematical material and looking for relationships between them is real math learning. In many math learning materials, students often struggle to understand the concept of the material. The mathematical skills need to be stimulus and encouraged when learning. To practice such skills need innovations such as using motion graphics learning media. The purpose of this research is to know the student's response to the use of motion graphic media, to find out how much the mathematical skills of students after using motion graphic learning media, to know how much influence The media use of motion graphic learning to the students mathematical skills, to determine the effectiveness of the use of motion graphic learning media to the students mathematical skills. This method of research is experimental research with data collection techniques using poll and observation for variable X and test for variable Y. Population for this research is all students of grade IX SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon, while the sample Taken by the cluster method of random sampling with the elected class IX B SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon. Based on the results of the data processing, the student response questionnaire was obtained against the use of media in motion graphic media learning with an average of 85.23% with very strong criteria. Based on the hypothesis test result obtained tcount > ttable = 9,895 > 2.063, then H0 rejected or Ha is acceptable, the use of Motion graphics Learning Media is effective against the mathematical understanding of grade IX students SMP IT Umar Al Khattab. It is also supported through an N-Gain value of 65.40 as well as an indicator of the learning effectiveness of a KKM pass of 91.66% classifying, student response 85.23%, student activity of 77,,33%, as well as the ability of the teacher to manage the class that got the value 3.34.
A Survey on Big Data Analytics Model Kurniawan, Candra
ITEJ (Information Technology Engineering Journals) Vol 4 No 1 (2019): 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.v4i1.46

Abstract

Topic about big data analytics have received a lot of attention and interest at this time. There are many topics can be discussed related to the analytical model, tools, and technology used. Big data analytics model involves many processes with various technologies used. Skills in handling big data, extracting mining, and developing insight are needed in applying big data analytics. Suitable analytical hardware and software also needed in decision making. Big data analytics is a key to a business strategy, but only a small portion of big data is currently used to support their business strategy. Big data analitycs can answer many questions about how to manage costs, time, and development or optimization strategies, and other decision making choices. However, there are many challenges in big data analytics technology. This survey paper addresses topics related to the analytical model, tools, and technology used. This paper also discusses the application of big data analytics in various fields.
Development of Big Data Analytics Model Rizal, Saiful
ITEJ (Information Technology Engineering Journals) Vol 4 No 1 (2019): 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.v4i1.47

Abstract

The development of information technology produces very large data sizes, with various variations in data and complex data structures. Traditional data storage techniques are not sufficient for storage and analysis with very large volumes of data. Many researchers conducted their research in analyzing big data with various analytics models in big data. Therefore, the purpose of the survey paper is to provide an understanding of analytics models in big data for various uses using algorithms in data mining. Preprocessing big data is the key to turning big data into big value.
A Survey of Models, Technologies and Trends in Decision Making with Internet of Things Faeni, You Ari
ITEJ (Information Technology Engineering Journals) Vol 4 No 1 (2019): 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.v4i1.48

Abstract

The development of IoT (internet of things) technology encourages increased use of smart devices and their supporting applications. The use of smart devices and applications that are growing rapidly and large will certainly produce large amounts of data and information. The next challenge is how to use the data and information generated to help people solve various problems that exist and improve the quality of human life. Data is analyzed into information, knowledge and in the end it will be used to make decisions. With all the features offered by IoT, decision making is expected to be easier and more precise, according to the expected goals. This paper will discuss the IoT architecture and decision-making framework with IoT. Furthermore, it provides an overview of the models, technology and development of the decision making process with IoT based on previously published papers (journals and conferences). The main purpose of making this paper is to provide insights for researchers about decision making with IoT.
Future of Internet of Things in Smart City Dianawati, Erni
ITEJ (Information Technology Engineering Journals) Vol 4 No 1 (2019): 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.v4i1.49

Abstract

Internet of things has become a scientific field that continues to grow from time to time. unconsciously humans have relied heavily on the use of devices - IoT devices in their daily lives. in its development IoT has also become one of the technologies that plays a big role in the development of Smart City in the world. still many. in this paper we will discuss a number of issues that may arise in implementing IoT in Smart City and some of the solutions that have been reviewed.
A Survey on Big Data in the Media and Entertainment Industry Nurhayati, Annisaa
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.v4i2.50

Abstract

Big Data has affected all industries, including the media dan entertainment industries. The popularity of using mobile devices and the internet has changed the way people enjoy entertainment. This popularity also generates data streams from many sources with various data formats and large volumes, known as big data. Carrying out big data analysis can help the media industry and entertainment achieve its goals, like providing content that makes users happy, provides user experience, and increases profits. Many researchers have conducted research on the use of big data in the media and entertainment industries. The purpose of this paper is to provide an overview of the problems, challenges and various technologies related to Big Data in the media and entertainment industries.
A Survey on Machine learning and IoT Hardini, Inkreswari Retno
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.v4i2.51

Abstract

Internet of Things is an intelligence devices that can connect to any other devices. Based on that ability to connect and its intelligence, it makes people to create an intelligence device and capable to learn like human brain. To accomplish that goal, machine learning is the solution. Combination between machine learning and IoT generate a revolution in human life and application industry. The combination also generate new trend in market. Therefore, in this paper will be discuss about machine learning including machine learning technique and algorithm and also discuss about IoT including architecture and elements. Then in this paper will discuss about some researches that have already done that combine IoT with machine learning approach, including issue and challenge in those researches.
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.

Page 5 of 12 | Total Record : 119

 3   4   5   6   7 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol 10 No 2 (2025): December (In Progress) Vol 10 No 1 (2025): June Vol 9 No 2 (2024): December Vol 9 No 1 (2024): June Vol 8 No 2 (2023): December Vol 8 No 1 (2023): June Vol 7 No 2 (2022): December Vol 7 No 1 (2022): June Vol 6 No 2 (2021): December Vol 6 No 1 (2021): June Vol 5 No 2 (2020): December Vol 5 No 1 (2020): June Vol 4 No 2 (2019): December Vol 4 No 1 (2019): June Vol 3 No 2 (2018): December Vol 3 No 1 (2018): June Vol 2 No 2 (2017): December Vol 2 No 1 (2017): June Vol 1 No 2 (2016): December Vol 1 No 1 (2016): June More Issue