Application Of Developed System Research Articles

Employee Recruitment Decision Support System Using Analytical Hierarchy Process Method in Security Services Companies

The purpose of this study is to determine how to combine the AHP method with other techniques to develop an employee recruiting decision support system. Utilized techniques for gathering data include literature reviews, interviews, and observation. The Rapid Application Development system development technique was employed in this study. Unified Model Language is one of the techniques used in system design to help envision the structure of the system that will be created. The discussion's outcomes allow for the following deductions to be made: Using a combination of web-based AHP and SAW methodologies, the Rapid Application Development method, and the Laravel 8 framework, this research creates an employee recruiting decision support system. It is anticipated that the decision support system for staff recruiting will automate the hiring process, reducing applicant subjectivity. HRD's tasks can be made easier by decision support systems, particularly in the data verification process because the electronic files that are received ensure that they are not mixed up with other documents.

EVALUASI RANCANGAN INFRASTRUKTUR KESEHATAN NASIONAL DALAM CETAK BIRU TRANSFORMASI DIGITAL KESEHATAN 2024

The COVID-19 pandemic in Indonesia during 2020 has introduced numerous challenges and hurdles for the field of public health. It has also prompted the Indonesian government to explore the application of digital information technology in managing the COVID-19 crisis. As an extension of the broader incorporation of information technology within public health services, the Ministry of Health has undertaken a significant initiative with its Blueprint for Health Digital Transformation Strategy 2024. This initiative places a particular emphasis on the establishment of health data integration, the development of health service application systems, and the enhancement of the Health Technology Ecosystem. This article presents an evaluation of the national health infrastructure design as outlined in the Health Digital Transformation Strategy Blueprint 2024. The evaluation is conducted by comparing this blueprint with the recommendations detailed in the Public Health Infrastructure framework, as proposed by the Department of Health and Human Services in the United States. The results of this evaluation indicate that the organizational and ICT aspects have been reasonably well executed within the national Health infrastructure design. However, it also highlights the absence of a strategic plan or dedicated program aimed at enhancing the informatics competencies of public health professionals.

Linguistic interval type 2 fuzzy logic-based Exigency Vehicle routing: IoT system development for smart city applications with soft computing-based optimization

An Exigency Vehicle (EV) has to go more quickly to increase the likelihood that someone in danger would survive. Construction projects, strikes, and accidents may all be avoided with an effective vehicle routing solution. The Internet of Things (IoT) network simulation for Exigency Vehicle routing is proposed in this research utilizing a linguistic interval type 2 fuzzy logic system (LIT2FLS) based data fusion approach. The predicted effectiveness of our model for intelligent city applications, including emergency vehicle routing, is well demonstrated by the LIT2FLS correlation coefficients of 0.994%. This data fusion approach determines the exact level of congestion for a given place by combining sensory data with crowd reactions. In addition, OSRM employs a road communication system to detect real-time traffic variations and choose the least congested route. Furthermore, a sensor station for gathering the speeds and pollutants of moving automobiles on the road has also been established. An Android app has been developed to collect public information on blockages A driver of an Exigency Vehicle (EV) is directed towards a medical facility with the quickest, congestion-aware path by means of the Application software service. We have created an IT2FLS system that assists with decisions to calculate traffic congestion. Analyze the ability to scale and quickness of response associated with the suggested routing strategy.

Implementation of A Blood Donor Information System Using Mobile Applications Gunung Kidul District

Blood donation is a common charitable activity in many communities. Consequently, the Indonesian Red Cross (PMI) in the Gunung Kidul district frequently organizes such humanitarian events across various locations. However, not everyone is aware of these events or is able to participate in blood donation. The lack of information dissemination and blood donation events are significant factors contributing to the low community participation. The existing system for searching, processing, and creating data is still manual, which hinders the efficiency of administrative tasks. Addressing these issues, the aim of this research is to develop an Android-based blood donation information application. This initiative is particularly vital as the PMI in Gunung Kidul lacks the necessary infrastructure to disseminate information about the availability of blood bags efficiently. In the current era of digital advancement, the slow pace of information distribution is notably ineffective, thus integrating the system with Android technology is a strategic solution. sThis blood donation application is designed for donors who lack information about blood donation activities and for organizations wishing to conduct such events. The development of this Android application system involves experimental data collection methods, including observation, interviews, literature study, and documentation. The unit testing employs the Waterfall methodology. The application is developed using the Kotlin programming language, with the aid of Android Studio software

Brain–Computer Interface Integrated With Augmented Reality for Human–Robot Interaction

Brain-computer interface (BCI) has been gradually used in human-robot interaction systems. Steady-state visual evoked potential (SSVEP) as a paradigm of electroencephalography (EEG) has attracted more attention in the BCI system research due to its stability and efficiency. However, an independent monitor is needed in the traditional SSVEP-BCI system to display stimulus targets, and the stimulus targets map fixedly to some pre-set commands. These limit the development of the SSVEP-BCI application system in complex and changeable scenarios. In this study, the SSVEP-BCI system integrated with augmented reality (AR) is proposed. Furthermore, a stimulation interface is made by merging the visual information of the objects with stimulus targets, which can update the mapping relationship between stimulus targets and objects automatically to adapt to the change of the objects in the workspace. During the online experiment of the AR-based SSVEP-BCI cue-guided task with the robotic arm, the success rate of grasping is 87.50 ± 3.10% with the SSVEP-EEG data recognition time of 0.5 s based on FB-tCNN. The proposed AR-based SSVEP-BCI system enables the users to select intention targets more ecologically and can grasp more kinds of different objects with a limited number of stimulus targets, resulting in the potential to be used in complex and changeable scenarios.

Analisis Perancangan Sia Kas Menggunakan Software Microsoft Access 2019 (Studi Kasus Pada Pt Bendara Empat Logistik)

The Accounting Information System is an important part of a company. SIA must be based on certain standards to ensure quality. Cash accounting information systems are one of the most important types of business processes. Cash is the most liquid asset, so it needs to becontrolled properly in order to avoid irregularities. This research will aim to create a Cash Application System that will help the SIA Cash business process the subject of this research. The research method used is qualitative descriptive from the data collected in the form of interviews, documentation files, and observations. In designing this research application, the System Development Life Cycle (SDLC) method was assisted to analyze the condition of the current AIS. As an application system development, DBMS software is a strict software for designing applications and processing data. this study uses Microsoft Access 2019. The application system is based on the prototype needed by the subject of this research. The output generated from this application is in the form of invoice creation information, order reports, and cash flow reports. Due to SIA's business processes that have not been maximized, the Cash application system was created to support the existing system according to the needs of the research subject.

EOG Based Eye Blink Detection using VB GUI for Eye Writing Applications

Usage of bio-signals from Electro-Oculo-Gram (EOG) in Human Computer Interaction (HCI) systems is one of the burgeoning study areas as of now. In order to provide support for physically challenged persons (or keypad Contactless HCI) in operating basic computer functions without making any physical touch with the computer keypad or mouse, we propose a framework utilization concept that changes movement of cursor on the computer screen using virtual keypad based on Visual Basic Graphical User Interface (VB GUI) with the eye movement detection through webcam of the system for different computer functions. In this work, VB GUI platform is used for a web browsing application and corresponding platform operation steps have been included. With the VB GUI, the basic cursor movements in the directions of left, right, up, and down to access the web links on the web page which is treated as eye writing in the concept of human computer interaction. Similarly, we can access different computer Apps such as MS-Doc, XL sheets, Audio and video files etc. Further, this paper focus is on prototype development of different home automation system applications.

One-gateway system in managing campus information system using microservices architecture

Universitas Muslim Indonesia (UMI) has developed several applications for managing the campus's digital information and management systems, both internally and externally. However, several applications were previously created in the development of information system applications at UMI. However, these applications were not well-suited for long-term use due to their complexity and lack of integration. Therefore, UMI aims to create a fully integrated and well-managed campus information system by implementing the concept of microservices. The microservices approach involves dividing large applications into smaller interconnected components. This approach facilitates the management of application systems and enables better integration. Moreover, the microservices approach simplifies system maintenance for application developers, as each application is separated into smaller components

Development of a Virtual Reality Memory Maze Learning System for Application in Social Science Education

Virtual reality (VR) is a 3D space created by computer graphics technology and immersive devices. In addition to providing a new visual experience, users can also interact with others in the virtual world to address any of their needs. In recent years, the application of virtual reality in the field of education has attracted the attention of more and more people. This study combined virtual reality and concepts of spatial memory in wayfinding and memory palace to develop a VR memory maze learning system based on the seven large-scale expedition voyages of Zheng He (1405–1433) in the early Ming Dynasty of imperial China. The objective is to improve memory and efficiency in learning social science by correlating spatial information and organizational skills in the virtual environment. A teaching experiment has been conducted to explore its impacts on learning effectiveness, learning motivation, and cognitive load, as well as learners’ technology acceptance of the VR system. The analysis results indicate that using the VR system for learning social science can improve learning effectiveness; it can also increase learning motivation and reduce cognitive load. The questionnaire results of the technology acceptance model analysis show that most learners were satisfied with various aspects of this system.

Rhombohedral boron monosulfide as a metal-free photocatalyst

Most of previous photocatalysts contain metal species, thus exploring a metal-free photocatalyst is still challenging. A metal-free photocatalyst has an advantage for the development of economical and non-toxic artificial photosynthesis system and/or environmental purification applications. In this study, rhombohedral boron monosulfide (r-BS) was synthesized by a high-pressure solid-state reaction, and its photocatalytic properties were investigated. r-BS absorbed visible light, and its photocurrent action spectrum also exhibited visible light responsivity. The r-BS evolved hydrogen (H2) from water under ultraviolet (UV) as well as under visible light irradiation, and its internal quantum efficiency reached 1.8% under UV light irradiation. In addition to the H2 evolution reaction, the r-BS photocatalyst drove carbon dioxide (CO2) reduction and dye oxidation reactions under UV irradiation. Although bare r-BS was not so stable under strong light irradiation in water, cocatalyst modification improved its stability. These results indicate that r-BS is a new class of non-metal photocatalyst applicable for H2 production, CO2 reduction, and environmental purification reactions.

The Influence of Blueprints on Internal Audit Monitoring System (IAMS) Application Development


 The Digitalization era shows increasing application developments, both at the individual, group, and corporate levels. One of the corporations or companies involved in this Digitalization development is PT Pelindo Terminal Petikemas. The need for auditing activities arises to ensure that the company's business processes comply with regulations and policies. To fulfill the audit working papers, the Internal Audit Division of PT Pelindo Terminal Petikemas has developed IAMS (Internal Audit Monitoring System), a web-based application that plays a role in digitizing the auditing process. However, the absence of a blueprint or master plan for this application has become a constraint in its development, as there are still features that are not fully optimized when used. This research is conducted to identify the deficiencies in the application caused by the absence of a blueprint and to emphasize the importance of creating a blueprint in the application development process. The research adopts a descriptive qualitative approach and tends to use analysis. The primary data for this research were obtained through interviews and literature studies, and bibliographic references were used to compile the literature. The research findings conclude that the IAMS (Internal Audit Monitoring System) application must still be fully optimized to assist the company's internal auditing activities. One of the reasons for its suboptimal performance is the lack of a blueprint, which would facilitate the application's development and serve as a direction and master plan for designing an application.
 
 DOI: https://doi.org/10.5281/zenodo.8415610

Eu3+-doped gadolinium borate glass system development for optical and scintillation applications

This paper describes the development and characterization of the Eu3+-doped Ba-Na-B glass system with the varying of Gd2O3 concentrations from 0 to 10 mol%. The photoluminescence emission spectra, excited with 393 nm at Eu3+ ions, show strong luminescence with a peak emission wavelength of 613 nm (5D0→7F2). The highest emission intensity is belonged to the glass sample with 2.5 mol% of Gd2O3. The phonon energy of the host glasses, evaluated from the phonon sideband analysis, is 1017 cm−1. The emission spectra, excited with 275 nm at Gd3+ ions, show the emission band according to the Gd3+→Gd3+ transition at 311 nm (4P7/2→8S7/2) and show the Gd3+→Eu3+ energy transfer, resulting in the emission of light at the characteristic wavelengths of the Eu3+. The highest photoluminescence emission intensity is belonged to the glass sample with 2.5 mol% of Gd2O3, due to its highest energy transfer efficiency at 59.10%. The emitting light of all the glass samples for both excited with 393 nm (Eu3+) and 275 nm (Gd3+) can be all represented by the x,y color coordinates at (0.65, 0.35) in reddish-orange region. The radioluminescence emission spectra, excited by 50 kV, 30 mA X-ray generator, show the emission bands with Eu3+ characteristics. The highest radioluminescence emission intensity is belonged to the glass sample with 7.5 mol% of Gd2O3 with the highest scintillation efficiencies at 20.61% compared to the BGO sample.

Implementasi Model Rapid Application Development untuk Pengembangan Pembelajaran Tajwid Al-Qur'an

Shaykh Manna Al-Qahthan said that the Qur'an is the message of Allah SWT for all humankind. As a country with a majority Muslim population, 87.18% based on statistical data at the end of 2010 from the Central Statistics Agency. Data from research conducted by the Institute of Al-Qur'an Sciences in 2017 noted that around 65% of Indonesian Muslim communities are illiterate in the Qur'an. Learning tajweed Al-Qur'an by taking classes directly usually will take longer to master one material because it is carried out once a week. Information Technology can be utilized in this problem. Android-based application is one of them. The focus of this research is build a mobile application for learning Al-Qur'an recitation with the Nurul Bayan method using the Rapid Application Development system method. The results of the Blackbox test calculation on the Tajweed Learning Application are 100% and the results of the UAT test are. Based on the results of testing using the Blackbox Testing and User Acceptance Test methods, Android-based Tajweed Learning Applications can assist users in learning the basic theory of Al-Qur'an recitation with the Nurul Bayan method.

Microwave Real-Time and High-Resolution Imaging System Development for NDT Applications: A Chronology

In the past four decades, microwave imaging has experienced a renaissance. This has happened because of new technology development, improved and robust image reconstruction algorithms, expansion of imaging modalities, and operational friendliness, particularly for nondestructive testing (NDT) applications (e.g., high-resolution, real-time, portable systems). Efforts to push the envelope forward continues. This paper provides a brief background on some of the key works that laid the foundation for these advancements. Next, the focus of the paper shifts to the author’s research group’s contributions to the field since the early 1990s to the present day in developing new imaging methodologies and tools specifically for NDT applications. This paper gives a chronology of these specific developments and illustrates how the desire to address NDT needs and requirements have kept these developmental processes moving forward.

Indigenous Development of Epoxy Resin System for Cryogenic Services and Fusion Application

An epoxy resin system is used in a superconducting tokamak to insulate the conducting components, such as superconducting windings, cooling pipes, metal electrodes, and bonding and sealing of dissimilar material joints at cryogenic temperature. The main aim is to develop and fabricate the dissimilar material joints of metal and glass fiber reinforced plastic (GFRP) polymer in the form of cryogenic components for the superconducting fusion magnet. To bond and fabricate the dissimilar joints, the epoxy resin needs to have low viscosity, good adhesion, resistance to moisture, long usable life, and high toughness at low temperatures. A two-component-modified diglycidyl ether of bisphenol-A (DGEBA) epoxy resin was formulated with a modified polyamine-based hardener. To increase the toughness and minimize the induced thermal stress at low temperatures, a silane coupling agent, gamma-aminopropyltrithoxysilane, was used for its superior bonding and fast curing process. The tensile strength examination test results were found to 85 MPa, as per the International Organization for Standardization standard ISO 527-2, and an interlaminar shear strength of 12 MPa was found, as per the American Society for Testing and Materials standard ASTM D5868 at 77 K, respectively. The mechanical performance enhancements at 77 K overcome the issue of cracks and helium leaks that develop at cryogenic temperatures, as reported. The dissimilar material joints fabricated using the epoxy resin in the form of a cryo component have been validated in machine with an acceptable helium leak tightness of 1.0E-08 mbar-l/s. In this work, we report on the development, mechanical, thermal, and electrical performance tests, the testing and failures of various epoxy resins systems used, and the cryo components at 300 and 77 K.

Application System Development of Accident Prevention and Safety Assistance using IoT Application

The number of road accidents in Malaysia shows a steady increment from 2010 to 2019, reported by the Ministry of Transport Malaysia. This project aims to develop a system to prevent an accident by detecting aggressive driving. If an accident occurred, this system would send an alert for an immediate response, which is crucial to reduce the fatality rate. An accelerometer is utilized to detect aggressive driving and accident events. The method to detect aggressive driving is by determining an abrupt change in acceleration. For accident detection, the vehicle tilt angle and acceleration are monitored. An ESP32 SIM800L microcontroller processes the inputs and alert a web-based cloud service and a set phone number by Short Message Service (SMS). The microcontroller is used due to the embedded Global System for Mobile Communications (GSM) and other wireless communication modules. The small form factor gives an advantage in terms of mounting location flexibility. The alert contains the type of event, time, and location. This report contains the development of the proposed system, which includes the simulation for the system circuit and motion simulation. Accident detection, falls, SMS alerts and online alerts are consistently successful, while aggressive driving detection is inconsistent. Live tracking does not directly work during these detections. In conclusion, this project successfully detects accidents and sends alerts via SMS and internet using a Subscriber Identity Module (SIM) card.

Disturbance-Observer-Based LQR Tracking Control for Electro-Optical System

To improve the dynamic property and the disturbance suppression ability of an electro-optical tracking system, this paper presents a disturbance-observer-based LQR tracking control method. The disturbance-observer-based robust controller is composed of three parts: one is the LQR tracking controller, one is the reference model controller and the other is a compensatory controller designed with the output of the disturbance observer. The uncertainty and disturbances are considered in the controller design. By Lyapunov stability theory and linear matrix inequality (LMI) technique, the sufficient conditions for observer gain and controller gain of the tracking reference model of the electro-optical system are given. Simulation and experimental results show that the proposed method in this paper not only improved the disturbance suppression ability of the electro-optical tracking system but also improved the dynamic property of the electro-optical tracking system, such as rise time, settling time and system overshoot. Specially, compared with other methods in this paper, the tracking accuracy and the disturbance suppression ability of the proposed method are about two to three times higher. The method presented in this paper has important reference value in the field of electro-optical system applications. But, with the development of electro-optical system applications, the tracking accuracy and disturbance suppression ability of the proposed method cannot meet the actual requirements of an electro-optical system. The next step of this paper will consider a variety of practical requirements, such as the controller saturation problem and tracking reference target with strong maneuverability, and further optimize the proposed method.

Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals

The detection of mild depression is conducive to the early intervention and treatment of depression. This study explored the fusion of electroencephalography (EEG) and pupil area signals to build an effective and convenient mild depression recognition model. We proposed Mutual Information Based Fusion Model (MIBFM), which innovatively used pupil area signals to select EEG electrodes based on mutual information. Then we extracted features from EEG and pupil area signals in different bands, and fused bimodal features using the denoising autoencoder. Experimental results showed that MIBFM could obtain the highest accuracy of 87.03%. And MIBFM exhibited better performance than other existing methods. Our findings validate the effectiveness of the use of pupil area as signals, which makes eye movement signals can be easily obtained using high resolution camera, and the EEG electrode selection scheme based on mutual information is also proved to be an applicable solution for data dimension reduction and multimodal complementary information screening. This study casts a new light for mild depression recognition using multimodal data of EEG and pupil area signals, and provides a theoretical basis for the development of portable and universal application systems.

CEC: A Containerized Edge Computing Framework for Dynamic Resource Provisioning

Container has been widely used in application development and management systems. However, there are two major challenges faced in the real deployment at edge servers. The varying workload of service requests and the startup delay of containers force a flexible resource provisioning scheme in containerized edge computing. To this end, we propose CEC, a containerized edge computing framework for dynamic resource provisioning, and especially for the smart connected community where exists multiple intelligent applications. CEC integrates workload prediction and resource pre-provisioning to enable low latency of user service requests and high utilization of edge resources. First, we present an online periodic request prediction algorithm. Then, we designed a control-based resource pre-provisioning algorithm based on the predicted request distribution, which is a self-adaptive controller to tune the resource for containers. We evaluate the performance of CEC by simulation and system experiments. The simulation experiment shows that the prediction accuracy of the proposed algorithm is higher than other two prediction algorithms. The testbed experiments demonstrate that the control-based resource pre-provisioning algorithm has low service latency and high resource utilization compared with baselines.

Generation of synthetic multi‐resolution time series load data

AbstractThe availability of large datasets is crucial for the development of new power system applications and tools; unfortunately, very few are publicly and freely available. The authors designed an end‐to‐end generative framework for the creation of synthetic bus‐level time‐series load data for transmission networks. The model is trained on a real dataset of over 70 Terabytes of synchrophasor measurements spanning multiple years. Leveraging a combination of principal component analysis and conditional generative adversarial network models, the developed scheme allows for the generation of data at varying sampling rates (up to a maximum of 30 samples per second) and ranging in length from seconds to years. The generative models are tested extensively to verify that they correctly capture the diverse characteristics of real loads. Finally, an opensource tool called LoadGAN is developed which gives researchers access to the fully trained generative models via a graphical interface.