Successful Implementation Of System Research Articles

Analysis of Barriers to the Successful Implementation of Digitalization in South Africa Using the Interpretive Structural Modelling Approach

Many digitalization programmes fail in the implementation phase due to unforeseen obstacles. This study examines the barriers that affect the successful implementation of digitalization using the interpretive structural model and also evaluates the interrelationships among the barriers in the implementation of digitalization. Previous articles in the discipline of digitalization were used in the literature to mainly draw barriers found during the implementation phase of digitalization. Interpretive Structural Modelling results helped to find different levels of barriers and their influence on the system. The high cost of digital technologies and political instability were identified as the leading barriers affecting the successful implementation of digital systems in South Africa. The findings will aid in decision-making for problem-solving to eliminate the most critical barriers to improve the implementation process.

Development of a Curriculum for Emergency Physicians to Teach Transesophageal Echocardiography for Cardiac Arrests: A Kern Six-Step Model

BACKGROUND: The Kern model facilitates the development, implementation, and evaluation of successful educational systems in medicine. It involves six steps that link curricular content to health care needs. One such need is the design of a curriculum to teach emergency physicians practical use of focused transesophageal echocardiography employing a limited number of views for management of out-of-hospital cardiac arrests. The objective of this analysis was to describe the components of such a curriculum based on a Kern model that could be employed to train emergency department providers in this diagnostic modality. METHODS: We predicated our analysis on the American College of Emergency Physicians’ recommendations and goals for use of transesophageal echocardiography to guide emergency department cardiac arrest resuscitation. We then detailed an asynchronous pre-didactic learning experience followed by a synchronous didactic and simulation-based curriculum to teach emergency physicians how to acquire and interpret images for this purpose based upon steps set forth by a Kern model. RESULTS: The component steps in designing a curriculum constructed to teach focused transesophageal echocardiography for out-of-hospital cardiac arrests to emergency physicians are rigorously outlined. These components based on a Kern model include problem identification and a general needs assessment, a targeted needs assessment, defining goals and objectives, choosing educational strategies, curricular implementation, and program evaluation. CONCLUSIONS: Use of a six-step Kern model as a template can facilitate the development and dissemination of a curriculum to teach emergency physicians successfully to employ focused transesophageal echocardiography in the treatment of cardiac arrests. In order to promote its widest dissemination, this model should be pursued in a “train-the-trainer” fashion. In so doing, appropriate education of emergency physicians and their use of transesophageal echocardiography to manage cardiac arrests likely can be rapid and impactful, especially among providers with training and experience in transthoracic echocardiography.

THE WESTERN LEGAL SYSTEM IN INDONESIAN CRIMINAL PROCEDURAL LAW REFORM: A GLOBALIZATION AND LEGAL POLITICS PERSPECTIVE

In the field of law, the influence of globalization is reflected in the legal politics of procedural law reform, which is currently still in the form of legislation draft. This study aims to analyze the influence of globalization on the reform of Indonesian criminal procedural law in relation to national legal politics. This research is normative legal research, which focuses on studying library materials. Based on the results of a comprehensive study is known, the Draft Criminal Procedure Code includes a new system originating from the western legal system such as adversary system in court trial. Adopting the adversary system into the Draft Criminal Procedure Code is a very revolutionary legal political reform of the criminal procedural law. Various challenges will be faced along with the adoption of the new legal system. Changes in the legal culture of law bearers is also a key variable in the success or failure of a western legal system implementation. Although the concept of the Criminal Procedure Code is colored by the western legal system, it does not conflict with national legal politics because it reflects universal legal principles, namely equality.

Evaluation of The Success of Using a SAP-Based ERP System With Theory of Planned Behavior (TPB) Model

PT. XYZ has implemented System Application and Product in data processing (SAP) software to support business processes in the company. The success or failure of system implementation can be assessed from non-technical aspects, namely that users can accept and use the SAP system well. The aim of this research is to evaluate the use of SAP software through Theory of Planned Behavior (TPB) modeling. Attitudes, subjective norms, perceived behavioral control, behavioral intentions, and behavior are the variables used in this modeling. This TPB modeling explains the factors that influence an individual's interest and behavior in using SAP software. An individual's intention to use SAP software is influenced by attitudinal variables, perceived behavioral control, and subjective norms, while a person's influence to use SAP software is influenced by intention. This type of research is quantitative research through data collection using a questionnaire with 30 respondents coming from SAP users at PT. XYZ. Data analysis was carried out using the SmartPLS application. The results obtained are that attitudes have a positive and significant effect on behavioral intentions, behavioral intentions have a positive and significant effect on behavior, subjective norms have a positive and significant effect on behavioral intentions, and perceived behavioral control has a negative effect on behavioral intentions in using SAP software.

Implementing organizational performance measurement systems: measures and success strategies

PurposeThis study assesses performance measurement (PM) system implementation efforts across various organizational contexts and investigates which factors are critical to achieving implementation success (IS).Design/methodology/approachAn empirical field study was conducted to refine a framework of PM system IS that consists of 5 dimensions of success and 29 factors. A survey questionnaire was used to investigate actual organizational practice and exploratory factor analysis was conducted to refine constructs corresponding to potential factors and dimensions of IS. The resulting variables were then investigated using multiple regression analysis to identify critical success factors for implementing PM systems.FindingsThe survey was completed by representatives from 124 organizations and the exploratory factor analysis results indicated that there are three underlying dimensions of IS (i.e. Use of the System, PM System Performance, and Improved Results and Processes) and 12 factors. Of the factors, nine can be considered critical success factors having a significant relationship with at least one dimension of IS: Leader Support, Design and Implementation Approach, Reward System Alignment, Organizational Acceptance, Organizational Culture and Climate, Easy to Define Environment, IT Infrastructure Capabilities, PM System Design Quality, and PM Participation and Training.Originality/valueThe results show that there are distinct dimensions of IS and, although some factors are associated with all dimensions, most are more closely related to only one dimension. This suggests that different strategies should be utilized based on the types of challenges experienced during implementation.

Sensor-Based Discovery of Search and Palpation Modes in the Clinical Breast Examination.

Successful implementation of precision education systems requires widespread adoption and seamless integration of new technologies with unique data streams that facilitate real-time performance feedback. This paper explores the use of sensor technology to quantify hands-on clinical skills. The goal is to shorten the learning curve through objective and actionable feedback. A sensor-enabled clinical breast examination (CBE) simulator was used to capture force and video data from practicing clinicians (N = 152). Force-by-time markers from the sensor data and a machine learning algorithm were used to parse physicians' CBE performance into periods of search and palpation and then these were used to investigate distinguishing characteristics of successful versus unsuccessful attempts to identify masses in CBEs. Mastery performance from successful physicians showed stable levels of speed and force across the entire CBE and a 15% increase in force when in palpation mode compared with search mode. Unsuccessful physicians failed to search with sufficient force to detect deep masses ( F [5,146] = 4.24, P = .001). While similar proportions of male and female physicians reached the highest performance level, males used more force as noted by higher palpation to search force ratios ( t [63] = 2.52, P = .014). Sensor technology can serve as a useful pathway to assess hands-on clinical skills and provide data-driven feedback. When using a sensor-enabled simulator, the authors found specific haptic approaches that were associated with successful CBE outcomes. Given this study's findings, continued exploration of sensor technology in support of precision education for hands-on clinical skills is warranted.

TRANSMISSION, STORAGE AND PREPROCESSING OF DATA RECEIVED FROM SENSORS USING LORA TECHNOLOGY

This study focuses on the use of Internet of Things technologies to monitor air quality parameters in the city. The research included the development of a system for collecting data from sensors of temperature, humidity, pressure, gases, time, GPS for various environmental parameters. The article discusses the benefits of using LoRaWAN for data transmission, highlighting its low power consumption and long-range capabilities. The presented architecture allows for system scalability, emphasizing the ability to integrate with additional devices and sensors for more complete and comprehensive environmental monitoring. The collected data is stored in a MySQL database management system and the importance of proper data structuring and normalization is emphasized to ensure accurate analysis. In addition, a data preprocessing process is described to solve the problem of heterogeneity of data obtained from different sensors. The result of the study is the obtained and preprocessed data. The work also highlights the importance of data management to ensure the successful implementation of such systems in the face of heterogeneity of information from different sensors. Thus, the article presents a comprehensive approach to air quality monitoring using IoT and highlights the importance of proper data management for subsequent accurate analysis.

Identification of Partial Discharge Sources by Feature Extraction from a Signal Conditioning System.

This paper addresses the critical challenge of detecting, separating, and classifying partial discharges in substations. It proposes two solutions: the first involves developing a signal conditioning system to reduce the sampling requirements for PD detection and increase the signal-to-noise ratio. The second approach uses machine learning techniques to separate and classify PD based on features extracted from the conditioned signal. Three clustering algorithms (K-means, Gaussian Mixture Model (GMM), and Mean-shift) and the Support Vector Machine (SVM) method were used for signal separation and classification. The proposed system effectively reduced high-frequency components up to 50 MHz, improved the signal-to-noise ratio, and effectively separated different sources of partial discharges without losing relevant information. An accuracy of up to 93% was achieved in classifying the partial discharge sources. The successful implementation of the signal conditioning system and the machine learning-based signal separation approach opens avenues for more economical, scalable, and reliable PD monitoring systems.

Impact of Critical Success Factors on International ISO Accreditation for the Botswana Public Health Laboratories

The purpose of this study is to identify critical success factors and their impact on implementation of quality management system at selected Public Health Laboratories in Botswana. The study population was from the targeted seven accredited Public Health Laboratories in Botswana. Data on critical success factors was collected using a questionnaire. The questions were based on the critical success factors for implementation of total quality management identified during the literature review. Ten Critical Success Factors for successful implementation of the quality management system were rated by a group of questions using a five point Likert scale method. The 5-point Likert scale includes the items: strongly agree, agree, neutral, disagree, and strongly disagree. Strongly agree was assigned a score of 5, agree is assigned a score of 4, neutral is assigned a score of 3, disagree is assigned a score of 2 and strongly disagree a score of 1. The mean of the assigned ratings is 3.0. Critical success factors which score mean greater than 3.0 will be classified as agree while those mean less than 3.0 will be classified as disagree. All the ten critical success factors had a mean above of 3.0, with a range of 4.77 to 3.57. All the ten success factors were deemed critical; Employee empowerment Strategic quality planning, Process management, Performance management, Quality culture, Management and leadership, Training, Supplier Management, Customer focus, Information analysis.

A Comprehensive Review of UAV-Assisted FSO Relay Systems

The evolving requirements of next-generation mobile communications networks can be met by leveraging vertically deployed Unmanned Aerial Vehicle (UAV) platforms integrated with Free Space Optical communications (FSO). This integration offers a flexible and scalable architecture capable of delivering high-rate communication without requiring licenses while aligning with the multi-gigabit paradigm. In recent times, the increasing availability of commercial aerial platforms has facilitated experimental demonstrations of UAV-enabled FSO systems, which play a crucial role in proposed backhaul networks and point-to-point communications by overcoming Line-of-Sight (LOS) challenges. These systems can be rapidly deployed to meet sudden demand scenarios. This document provides a comprehensive review of relevant field demonstrations of UAV-enabled FSO relay systems, with a particular focus on commercially available, free-flying platforms that are driving advancements in this domain. It categorizes the different platforms by considering the operational altitudes of these systems and their payload actuation capacity, which determines their adaptability to variables. The analysis aims to distill the design considerations that lead to optimal performance regarding communications throughput and other relevant metrics. Moreover, it also attempts to highlight areas where design choices have fallen short, indicating gaps in current research efforts toward the widespread adoption of UAV-enabled FSO relay systems. Finally, this work endeavors to outline effective design considerations, guidelines, and recommendations to bridge these identified gaps. It serves as a valuable reference guide for researchers involved in developing UAV-enabled FSO relay systems, enabling them to make informed decisions and pave the way for the successful implementation of such systems.

Analysis of Management Information System Implementation by adopting the HOT-FIT Framework in Higher Education

The purpose of this paper is to determine the implementation of the HOT-FIT framework written by Yusof, et. all, (2006) [19] in tertiary institutions in the industrial era 4.0. Where HOT-FIT framework consists of technological factors, human factors, organizational factors and net benefits and the authors do not add other components. In the technology factor, a network quality component was added, considering that in the industry era 4.0 network quality was one of the important factors in implementing management information systems. Human factors, the authors add user motivation where motivation is the key to successful system implementation in tertiary institutions. The organization factor is added environment, budgeting and supporting where the writer adopts a paper written by Winanti, et. all [10]. Net benefits are broken down into 3 components, including the benefits of implementation can be used as a quality assurance tool, accreditation, and a distinct advantage for universities both materially and immaterially. And in the end satisfaction can be felt by stakeholders.

Revolutionizing Somali agriculture: harnessing machine learning and IoT for optimal crop recommendations

Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resources, and poor infrastructure hamper productivity and economic progress. Emerging technologies like machine learning and IoT offer transformative solutions, optimizing crop yield and resource use. This research demonstrates the substantial impact of integrating Machine Learning (ML) and Internet of Things (IoT) technologies to improve agricultural decisions in Somalia. The study conducts a comprehensive comparison of Decision Trees (DT), K-nearest Neighbor (KNN), and Random Forest algorithms within a Crop Recommendation System. The Decision Tree algorithm emerges as the standout performer, boasting an impressive accuracy of 99.2% and achieving well-balanced precision, recall, and F1-score metrics. Its transparency and interpretability render it an optimal choice for guiding agricultural choices. Despite slightly trailing in performance, KNN and Random Forest algorithms achieve accuracies of 97.2% and 99.0% respectively, presenting valuable alternatives for various contexts. The successful implementation of the Crop Recommendation System, particularly in Somalia's Balcad District, underscores the tangible advantages of real-time IoT data and the Decision Tree model. This system enables farmers to optimize crop selection, thereby enhancing sustainability and yield potential. In a broader context, this research underscores the capacity of data-driven agriculture to tackle food security challenges and drive economic advancement. The transparent and accurate attributes of the Decision Tree algorithm, coupled with IoT capabilities, establish a framework for modernizing traditional farming practices and shaping a more productive future for Somalia and the global agriculture. The continuous evolution of crop recommendation systems holds promise for further transformative opportunities within the agricultural sector.

Measuring The Acceptance Level of User Interface Design of ERP System at PT Allure Alluminio Using Technology Acceptance Model (TAM) Method

The utilization of information technology and the internet in the industry is generally done through the implementation of Enterprise Resource Planning (ERP) systems to manage business processes. The success of ERP system implementation requires efforts to support and prevent failure risks. One of the risk factors for failure is the User Interface (UI) design of the ERP system. Good UI design that meets user needs needs to be considered. This research utilizes the Design Thinking (DT) method to create a good UI design and the Technology Acceptance Model (TAM) method to measure the acceptance of UI design in the manufacturing module of PT Allure Alluminio. The DT method was chosen as the UI design method for the ERP system because it is considered more creative in generating product concepts compared to other standard methods and TAM was chosen as one of the best methods for explaining technology acceptance and is a popular and commonly used approach. The UI design process is carried out in 6 phases of DT under the guidance of the Person in Charge (PIC), and the acceptance of UI design is measured after system implementation. Acceptance measurement is conducted using TAM with navigation and UI design variables as external variables, which are taken from previous research, and it tests the variables of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioral Intention to Use (BITU) among 50 users of the ERP system in the manufacturing module at PT Allure Alluminio through a Google Form questionnaire. The collected data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 3.2.9. The research results indicate that the DT method is effective for UI design as it involves users. The analysis shows that the use of ERP systems is influenced by perceived usefulness and ease of use, but not influenced by UI design. Navigation and UI design provide ease of use.

Overview of User Experience in Using Nutrition Information System: Scoping Review

Overview of User Experience in Using Nutrition Information System: Scoping Review

Implementation of vacuum distillation system at PPLi: A case study on high-concentrated waste treatment and water recycling

This case study presents the successful implementation of a vacuum distillation system at PPLi for treatment of high-concentrated waste, with a focus on water recycling. The vacuum distillation unit employs advanced thermal heating and evaporation processes, facilitated by reduced pressure, to effectively separate contaminants from the waste stream. Operational parameters, including waste type, feed rate, temperature settings, and vacuum level, were meticulously optimized to achieve optimal treatment efficiency. The study conducted experimental trials over six months, rigorously monitoring and analyzing the treated water quality for chemical composition, total dissolved solids (TDS), and other relevant parameters. Results showed a remarkable reduction in TDS and chemical contaminants, ensuring compliance with stringent regulatory standards. Additionally, the case study explored potential reuse and recovery options for the separated concentrated waste. Laboratory tests examined the feasibility of utilizing the waste residues for energy generation or as raw materials for other processes. The successful implementation of the vacuum distillation system at PPLi underscores its practicality and effectiveness in treating high-concentrated waste while facilitating water recycling. This achievement represents a significant step towards reducing environmental impacts associated with waste disposal and conserving precious water resources. The insights gained from this study serve as a valuable reference for industrial facilities seeking sustainable waste management solutions, fostering a circular economy approach and promoting responsible environmental stewardship.

РАЗВИТИЕ МЕХАТРОНИКИ КАК ФАКТОР ПОВЫШЕНИЯ ИННОВАЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ

The article is devoted to the role of mechatronics in the context of increasing innovation attractiveness. The fundamentals of mechatronics, its impact on innovative progress in various industries, as well as development trends and challenges facing this field are described. Examples of successful implementation of mechatronic systems are given, which makes it possible to assess their contribution to modern technological development. The research is aimed at identifying the prospects of using mechatronics to create new innovative products and solutions.

ЭЛЕКТРОННЫЕ СИСТЕМЫ ДЛЯ МОНИТОРИНГА И УПРАВЛЕНИЯ В УМНЫХ ЭНЕРГОСЕТЯХ

The article examines the role of electronic systems in monitoring and controlling smart grids. The key functions of these systems, such as real-time data collection and analysis, consumption forecasting, and energy distribution management, are described. Technologies and tools used to improve the efficiency and sustainability of power grids are discussed. Examples of successful implementation of intelligent systems in various regions are presented, and the main problems and prospects for their further development are considered.

Review of Existing Solutions for Vibroacoustic Monitoring of Construction Sites

The article explores the potential application of various solutions that allow monitoring noise and vibration to some extent on construction sites. Over 20 scientific articles presenting experimental research and experience with noise and vibration monitoring systems were reviewed. The articles were collected from leading journals indexed by scientometric databases. The reviewed articles were categorized into solutions for noise monitoring, vibration monitoring, and multifunctional solutions. As a result of the review of solutions in the field of acoustic monitoring, important trends and prospects for further research were identified. There is a recognized need for the development of more accurate methods for filtering background noise and accounting for the characteristics of different construction sites. Regarding solutions for vibration monitoring, the review revealed a need for a more in-depth investigation into the identification and classification of vibration sources for accurate assessment of their indicators. The review of multifunctional solutions and systems showed that additional research and testing are required for a full assessment of their effectiveness and applicability in practice. Successful implementation of such systems requires attention to their flexibility and the ability to install various types and scales on construction sites. Furthermore, emphasis should be placed on training personnel for the effective use of equipment or ensuring their qualifications match the ability to use vibroacoustic complexes.

An assessment of the legal and regulatory framework supporting the implementation of the National Integrated Identity Management System (NIIMS) in Kenya

Abstract This study sought to establish the elements that constitute comprehensive legal and regulatory landscape for successful digital identity system establishment and implementation. Subsequently, the study sought to assess whether these elements were present in the establishment and implementation of the National Integrated Identity Management System (NIIMS) in Kenya. The study adopted a qualitative approach, data was obtained firstly, through literature review that provided background information to the study. Secondly, semi structured interviews were undertaken on purposively selected key informants. The study established that the elements that constitute a robust legal and regulatory framework for digital identity (ID) establishment and implementation include presence of a constitutional provision on the right to privacy; existence of a digital ID law governing the establishment of the system; amendment of laws relating to the registration of persons; existence of a data protection law; existence of an overarching law governing the digital economy among others. Largely, most of these elements were present in Kenya. However, the legislative approach adopted in crafting digital ID law in Kenya was wanting. This has undermined effective implementation of the NIIM system by among other things eroding public confidence in the system. The study concluded that effective operation of the system hinged on the existence of a robust and comprehensive legal and regulatory framework that will engender users’ trust in the system. In this regard, the study recommended review of the existing legal framework to ensure that it underpins both the foundational and functional aspects of the NIIM system.

Analysis of the Causes of Inflation in China and Policy Solutions

This paper recollects Minister Zhu Rongjis successful implementation of an impermeable economic system in China, leveraging the power of the market economy. However, the recent evidence and data presented in the articles indicate a significant dependence on income derived from the real estate industry and state-owned enterprises within the Chinese government. This heavy reliance, paired with mounting debts and the prominence of powerful corporations, paints a potentially troublesome picture. Consequently, the writer expresses a preference for the exploration of novel solutions to maintain Chinas economic prosperity, encouraging a shift away from reliance on these sectors. In conclusion, the identified factors surrounding inflation in China necessitate careful consideration and proactive measures to avert potential repercussions on both the domestic economy and the broader global stage. The writer emphasizes the importance of addressing these concerns with deliberate attention and a forward-thinking approach to safeguard Chinas prosperity and contribute positively to the overall stability of the world economy.