IJAIT (International Journal of Applied Information Technology)
International Journal of Applied Information Technology covers a broad range of research topics in information technology. The topics include, but are not limited to avionics, bio medical instrumentation, biometric, computer network design, cryptography, data compression, digital signal processing, embedded system, enterprise information system, green energy & computing, interactive programming, internet of things, IT management and governance, IT-business strategic alignment, mobile and ubiquitous computing, monitoring system and techniques, multimedia processing, network security, power electronics, remote monitoring and sensing device, robotics and avionics, signal processing circuits, smart cities and smart grids, telecommunication devices & methods, telecommunication fundamentals.
Articles
124 Documents
<![CDATA[LATESS: Library Anti-Theft Electronic Surveillance System ]]>
<![CDATA[Benjamin Kommey]]>;
<![CDATA[Emma Naa Kai Odametey]]>;
<![CDATA[Yoocee Direntwi Ansah]]>;
<![CDATA[Valdo Ato Kekeli Abruquah]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 01 (May 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i01.5451
<![CDATA[The Kwame Nkrumah University of Science and Technology (KNUST) Library is one of the most important services on the school’s campus. It provides a serene atmosphere for studies as well as a multitude of resources for research and learning. Unfortunately, this opportunity is abused by some individuals who steal books, causing others who need them to be found wanting and incurs unnecessary costs on the school to replace those materials. In this project, we propose the use of an Electronic Article Surveillance (EAS) system to identify and keep track of books in the library. The proposed system would use Radio Frequency Identification (RFID) to raise an alarm when a book is being taken out of the library without having gone through the required procedures put in place for the borrowing of books. An alarm serves to notify the security guards and library staff stationed for quick alert and response to the book theft as well as to deter individuals from attempting to do so. If implemented correctly, a very high accuracy of detection can be achieved. The proposed system is limited in that it cannot prevent a student from borrowing a book without return, and some individuals may find a way to tamper with the tags to avoid being detected by the EAS system.]]>
<![CDATA[Implementing Process Mining in Indonesia Health Care: Challenges and Potentials ]]>
<![CDATA[Guntur Prabawa Kusuma]]>;
<![CDATA[Angelina Prima Kurniati]]>;
<![CDATA[Firdaus Hafidz]]>;
<![CDATA[Owen Ashby Johnson]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 01 (May 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i01.4688
<![CDATA[Indonesia has become one of the countries having the biggest single-payer national insurance with a population-based membership. The insurance had helped up to 217 million patients since its inception in 2014. Capturing insights from a large-scale electronic health record has the potential to give a valuable improvement to the health care processes quality. Process mining is an emerging approach to “bridge†between the domain of data science and process science. It has also been recognized to contribute to the domain of health care where complex and multi-discipline processes are happening. The BPJS Kesehatan data containing routinely collected medical records becomes a valuable source of knowledge to improve the quality of health care. In contrast to its benefits, exploiting and managing population-based health care data for research brings challenges and potential. This paper presents the challenges of conducting process mining projects in the perspective of diversity, data quality, ethics, and security. Process mining in health care also brings potentials in care process comparisons, precision medicine, audit and compliance, and the opportunities of using virtual research environment to conduct research using a population-based data set based on unique characteristics of human biology.]]>
<![CDATA[The Development of Human Resources Data Management Application at PT. Anugrah Laut Indonesia ]]>
<![CDATA[Dahliar Ananda]]>;
<![CDATA[Hetti Hidayati]]>;
<![CDATA[Cahyana Cahyana]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 01 (May 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i01.5982
<![CDATA[Human Resources and employees are an important part of the continuity of a company. Employee data management is crucial for a company. Misconduct in managing it could lead to data inconsistency that may cause loss for the company. Previously, ALI Seafood use only office applications to make a simple record of the employee data raising some difficulties in managing the data. These difficulties such as human errors, low capability of the operator, loss of employee data, or errors in real-time data sharing. Centralized Information Technology (IT) system can assist a company in carrying out the process of managing employees, not only to overcome the difficulties above but also in carrying out the process of compiling information that is useful in making strategic decisions for company owners. This research carries out the process of analysis, design, and development of a web-based application and has been fully utilized at ALI Seafood. The main features of the application include managing the organization structure, employment data, attendance, payroll, and application management access. ALI Seafood HR application developed using Laravel framework and MySQL database.]]>
<![CDATA[A Review: Data Quality Problem in Predictive Analytics ]]>
<![CDATA[Heru Nugroho]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 7 No 02 (2023): Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5980
<![CDATA[As data size continues to grow, there has been a revolution in computational methods and statistics to process and analyze data into insight and knowledge. This change in the paradigm of analytical data from explicit to implicit raises the way to extract knowledge from data through a prospective approach to determine the value of new observations based on the structure of the relationship between input and output. Data preparation is a very important stage in predictive analytics. To run quality analytical data, data with good quality is needed in accordance with the criteria. Data quality plays an important role in strategic decision making and planning before the digital computer era. The main challenge faced is that raw data cannot be directly used for analysis. One problem that arises related to data quality is completeness. Missing data is one that often causes data to become incomplete. As a result, predictive analysis generated from these data becomes inaccurate. In this paper we will discuss the problems related to the quality of data in predictive analytics through a literature study from related research. In addition, challenges and directions that might occur in the predictive analytics domain with problems related to data quality will be presented.]]>
<![CDATA[Poverty Level Prediction Based on E-Commerce Data Using Naïve Bayes Algorithm and Similarity-Based Feature Selection ]]>
<![CDATA[Pramuko Aji]]>;
<![CDATA[Dedy Rahman Wijaya]]>;
<![CDATA[Elis Hernawati]]>;
<![CDATA[Sherla Yualinda]]>;
<![CDATA[Sherli Yualinda]]>;
<![CDATA[Muhammad Akbar Haikal Frasanta]]>;
<![CDATA[Rathimala Kannan]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 7 No 02 (2023): Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5374
<![CDATA[The poverty rate is an important measure of any country because it indicates how well the economy develops and how well the economic prosperity distributes among citizens. The Central Statistics Agency, or BPS, measures the poverty rates in Indonesia using the concept of the ability to meet demands (basic needs approach). Using this approach, spending becomes a measure of poverty, defined as an economic incapacity to satisfy food and non-food requirements. Thus, the poor are individuals whose monthly per capita spending is less than the poverty threshold. In this study, the machine learning method using Naive Bayes with similarity-based feature selection and e-commerce data has been proposed to predict the poverty level in Indonesia. We proposed the method to be used as a complement to the results of the costly surveys and censuses conducted by BPS. Our experiments show that the classifier shows little relevance between the predicted and the original values or actual poverty prediction based on BPS data. A limited number of features does not necessarily result in poor accuracy, however great accuracy is not always achieved if a lot of features are being used.]]>
<![CDATA[Poverty Level Prediction Based on E-Commerce Data Using Naïve Bayes Algorithm and Similarity-Based Feature Selection ]]>
<![CDATA[Aji, Pramuko]]>;
<![CDATA[Wijaya, Dedy Rahman]]>;
<![CDATA[Hernawati, Elis]]>;
<![CDATA[Yualinda, Sherla]]>;
<![CDATA[Yualinda, Sherli]]>;
<![CDATA[Frasanta, Muhammad Akbar Haikal]]>;
<![CDATA[Kannan, Rathimala]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5374
<![CDATA[The poverty rate is an important measure of any country because it indicates how well the economy develops and how well the economic prosperity distributes among citizens. The Central Statistics Agency, or BPS, measures the poverty rates in Indonesia using the concept of the ability to meet demands (basic needs approach). Using this approach, spending becomes a measure of poverty, defined as an economic incapacity to satisfy food and non-food requirements. Thus, the poor are individuals whose monthly per capita spending is less than the poverty threshold. In this study, the machine learning method using Naive Bayes with similarity-based feature selection and e-commerce data has been proposed to predict the poverty level in Indonesia. We proposed the method to be used as a complement to the results of the costly surveys and censuses conducted by BPS. Our experiments show that the classifier shows little relevance between the predicted and the original values or actual poverty prediction based on BPS data. A limited number of features does not necessarily result in poor accuracy, however great accuracy is not always achieved if a lot of features are being used.]]>
<![CDATA[Development Interactive Vending Machine For Supporting The Health Protocol of The New Normal Era at Telkom University ]]>
<![CDATA[Kurniawan, Ady Purna]]>;
<![CDATA[Utoro, Rio Korio]]>;
<![CDATA[Siradj, Yahdi]]>;
<![CDATA[Akhara, Amnaduny]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 08 No 01 (May 2024) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5674
<![CDATA[Telkom University through the Covid19 task force team urges all employees to comply with health protocols while in the campus environment. Facilities such as masks, hand sanitizers, temperature scanners, and gate sterilizers have been provided to protect the campus community. The entire campus community is encouraged to isolate if there are symptoms of a Covid-19 virus attack. This Vending Machine was developed to provide health protocol facilities in the campus environment with the support of interactive multimedia technology. The development of this tool uses the Prototyping method which focuses on the main functions. The result of the Vending Machine development is that transactions can be used through the Android mobile application device directly through the desktop application contained on the screen at the Vending Machine. The results of the Vending Machine test state that 100% of the functions run according to the procedure and the device User Interface gets a value of 76.9 from the System Usability Scale test method.]]>
<![CDATA[Implementation of Data Governance on the Open Government Data Management Platform to Improve Data Quality ]]>
<![CDATA[Habibie, Khairul]]>;
<![CDATA[Suhardi, Suhardi]]>;
<![CDATA[Muhamad, Wardani]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5979
<![CDATA[Currently, realizing good governance related to data disclosure in government agencies is an initiative as a manifestation of open government data. However, there are still problems with the quality of published data. As a solution, organizations need to establish policies, strategies, and initiatives for data management activities This paper proposes adding data management activities to the platform to enhance the quality of published data. As for the value of the quality of the data tested using the XYZ district budget, there is an increase in the uniqueness quality dimension from valid DQI 98.7203 to 100; the conformity quality dimension has also increased from 94.7368 to 100; the accuracy quality dimension also increased significantly from 0 to 100; integrity quality dimension increased from 66.6667 to 100. As a concern, the validity of the data is by manual checking after deleting data duplication.]]>
<![CDATA[A Review: Data Quality Problem in Predictive Analytics ]]>
<![CDATA[Nugroho, Heru]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5980
<![CDATA[As data size continues to grow, there has been a revolution in computational methods and statistics to process and analyze data into insight and knowledge. This change in the paradigm of analytical data from explicit to implicit raises the way to extract knowledge from data through a prospective approach to determine the value of new observations based on the structure of the relationship between input and output. Data preparation is a very important stage in predictive analytics. To run quality analytical data, data with good quality is needed in accordance with the criteria. Data quality plays an important role in strategic decision making and planning before the digital computer era. The main challenge faced is that raw data cannot be directly used for analysis. One problem that arises related to data quality is completeness. Missing data is one that often causes data to become incomplete. As a result, predictive analysis generated from these data becomes inaccurate. In this paper we will discuss the problems related to the quality of data in predictive analytics through a literature study from related research. In addition, challenges and directions that might occur in the predictive analytics domain with problems related to data quality will be presented.]]>
<![CDATA[Mobile Application for Simulation of Camera Shot Angles Using 3D Environment Virtual Reality ]]>
<![CDATA[Kurniawan, Ady Purna]]>;
<![CDATA[Putra, Asaas]]>;
<![CDATA[Putri, Sritenaya Geovani]]>;
<![CDATA[Apriliani, Sani]]>
<![CDATA[ IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023) ]]>
Publisher : <![CDATA[School of Applied Science, Telkom University ]]>
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DOI: 10.25124/ijait.v7i02.5984
<![CDATA[This paper addresses the challenges faced by Telkom University in online learning, specifically in practical courses that require hardware. One such course is Videography in the Communication Science Study Program, which aims to equip students with theoretical knowledge and practical techniques for shooting from specific angles or positions using camera devices. To overcome this challenge, the study focuses on developing an Android mobile application that simulates the practical exercises in the Camera Shot Angles course. The application utilizes a virtual 3D environment and offers a VR (Virtual Reality) mode, allowing students to immerse themselves in realistic shooting experiences from various positions and angles. It also includes a comprehensive set of questions to evaluate students' understanding of the course material. The testing results indicate that the application is compatible with mobile devices with a minimum of 4GB RAM and has received positive scores for user experience aspects such as attractiveness, perspicuity, and efficiency. This paper discusses the development process, features, and evaluation of the application, highlighting its potential to enhance the practical learning experience for students in the Communication Science Study Program at Telkom University. By providing a virtual platform for practicing camera shot angles, this application offers a solution to the hardware limitations faced during online learning, enabling students to gain practical skills and knowledge effectively.]]>
