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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 5 Documents
 1 
Search results for , issue "Vol 4 No 2 (2019): December" : 5 Documents clear
Weather Analysis of Flight Delay at Husein Sastranegara Airport Dermadi, Yedi; Lukitasari, Shinta Devi; 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.v4i2.31

Abstract

Flight is an activity that is very vulnerable to weather conditions. The accuracy of weather information strongly supports flight activities. The effects of bad weather on flights include flight delays and flight cancellations. Based on data on flight delays from the Directorate General of Air Transportation of the Ministry of Transportation from January to March 2019 at Husein Sastranegara Airport, it is known that 20-30% of flight delays are caused by weather constraints. To estimate flight delays based on weather forecasts, weather data analysis is carried out to determine the type of weather that is endangering flights and causing flight delays. The analysis was carried out using the K-NN and Random Forest algorithms
The Influence of Android-Based Mobile Learning on Students' Learning Independence on the Subject of Derivative Algebraic Functions Kurniasih, Siti
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.v4i2.32

Abstract

The purpose of this research are: 1) to find out how much student’s self regulated learning in using android-based mobile learning, 2) to determine students’ responses about the using of android-based mobile learning in mathematics learning, and 3) to determine whether or not there is an influence of android-based mobile learning on students’ self regulated learning. Metodology in this research is using the experimental method with data collection techniques in the form of questionnaires for the two variables. The population in this research are all students of the clas XI Science in SMAN 1 Astanajapura, while the research sample is XI Science 4 class which was selected using cluster random sampling technic. Based on the results of the research, it can be concluded that the results of the student response questionnaire in using android-based mobile learning show strong criteria with an average percentage of 70.7% and the results of the students’ self regulated learning questionnaire show strong criteria with an average percentage of 73.7%. After hypothesis testing with , it can be seen that the value of is . Because then is rejected and is accepted, meaning that there is a significant influence between the using android-based mobile learning on students’ self regulated learning. The magnitude of the coefficient of determination obtained is 0.423 or 42.3% which means that the using of android-based mobile learning has an effect of 42.3% on students’ self regulated learning and the rest in influenced by other factors. Keywords: Instructional Media, Android-Based Mobile Learning, Self Regulated Learning
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.

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