Data Collection Methodology Research Articles

Tingkat Partisipasi Masyarakat Akan Kebijakan Pelaksanaan Vaksinasi Covid-19 Di Kota Batam

The objective of this study is to assess the extent of community engagement in the execution of the Covid-19 vaccination strategy within Batam City. The administration of Covid-19 vaccines plays a pivotal role in surmounting a worldwide pandemic, with active engagement from the community serving as a significant determinant of the efficacy of a vaccination initiative. The present study employs a qualitative methodology for data collection. A survey utilizing a structured questionnaire will be administered to assess the degree of community engagement in the Covid-19 vaccination process. Furthermore, a comprehensive analysis will be undertaken through conducting in-depth interviews with a carefully selected group of respondents. This approach aims to acquire a more profound comprehension of the various factors that exert influence on their level of participation. The anticipated outcomes of this research endeavor aim to offer a comprehensive assessment of the extent of community engagement in the execution of the Covid-19 vaccination program within Batam City. The aforementioned findings will offer significant insights to authorities and healthcare providers, enabling them to formulate enhanced communication and outreach strategies aimed at augmenting public engagement in vaccination programs.

Identify Building Contract Administration Knowledge for Graduate Architects to Enhance Work Performance

The fundamental roles and functions of graduate architects are witnessing a gradual shift in focus from designing buildings to supporting building contract administration. Construction project stakeholders are recognizing a growing need for graduate architects to improve their professional development within the industry for smooth project delivery. The purpose of this study is to identify the types of knowledge required by graduate architects to be competent when supporting the building contract administration work and to enable them to move a step closer to acquiring their professional qualifications. The study design follows a mixed methodology of quantitative and qualitative data collection and analysis. First, a literature review was conducted to form questions for the survey. After the questionnaire survey, semi-structured interviews were conducted with practitioners in the industry. A total of one hundred and eighty (180) questionnaires were distributed and one hundred and twenty-seven (127) questionnaires were returned. Data collected were analyzed using frequency distribution analysis and relative importance index (RII). Results from the questionnaire survey were triangulated with semi-structured interviews formed by twenty (20) practicing architects. Data collected from semi-structured interviews have been analyzed using thematic analysis. The result of the questionnaire survey and semi-structure interview both agreed that the most significant knowledge require is legal study knowledge. However, both methods have a different conclusion for least significant knowledge where the survey’s result showed communication and relationship management knowledge while semi-structured interviews’ result showed quality and assessment management less significant. The contribution of this study is perceived as essential for developing graduate architects’ competency in work performance and covers the limitations of the existing studies. Academics can use the outcome of this study as a reference in their teaching modules.

An Analysis of Middle School Social Studies Textbooks with a Focus on Media Themes

This study analyzes middle school social studies textbooks regarding media coverage. Document analysis was the preferred methodology of data collection. The data was gathered from 5th, 6th, and 7th grade middle school textbooks, identified via random sampling. The Media Concept and Related Concepts Textbook Review Form, developed by the researcher, was utilized during the data collection process. Researcher triangulation was applied during the analysis phase. The media-related textbook content was encapsulated within the following five themes: Media elements, media effects, media functions, media literacy, and media ethics. Findings for the media elements were categorized into media development, media tools, media types, media institutions, and media workers. Another major theme emerging from the analysis of the textbook content was media effects, which contained both positive and negative dimensions related to the impacts of media. Media functions constituted another media content theme emerging from the textbook analysis. This theme encompassed the media functions of transmission, speed, and ease of processing, communication and communication tools, education, and digital content. The media literacy theme encompassed findings categorized into thematic concepts, basic skills, and consciousness-raising. The final main theme emerging from the textbook analysis was media ethics. This theme included findings associated with controllable and regulable activities and ethical rights.

Assessing Adherence to Royal College of Surgeons Guidelines: A Closed-Loop Audit of Operation Notes in a Tertiary Healthcare Unit.

Introduction Accurate, comprehensive, and legible operation notes are essential for maintaining patient records, supporting healthcare professionals, and facilitating research. The study focused on adherence toRoyal College of Surgeons (RCS) guidelines established in 2008. Despite the guidelines, poor documentation practices have been reported globally. This audit seeks to address this issue and enhance documentation quality. Methodology The audit evaluated 19 parameters as defined in the 2014 RCS operative note guidelines. Data collection occurred during the initial cycle, spanning from March to April 2023, encompassing all surgical procedures at Hayatabad Medical Complex (HMC). Subsequently, a re-audit took place in July 2023 to gauge enhancements following a survey and educational intervention that took place in June 2023. The process included the formation of an audit team, securing ethical approval, and implementing a comprehensive methodology for data collection and analysis. The study spanned two data collection cycles to comprehensively assess improvements. Results Comparing initial and re-audit cycles (n = 390 and n = 108, respectively), improvements were observed in several documentation aspects. Parameters such as surgery date, elective/emergency classification, and names of key personnel showed significant enhancement. Notable improvements were also seen in the recording of operative details, complications, extra procedures, and post-operative care instructions. In our department, an educational survey was conducted to gain insights into compliance rates. This survey underscored the significance of adhering to RCS guidelines, identified the factors influencing adherence, and proposed strategies for improvement. Conclusion The audit affirmed the significance of adhering to RCS guidelines for operation note documentation. The study demonstrated improvements in documentation practices, emphasising the importance of accurate records for patient care, research, and ethical standards. The findings validate RCS guidelinesas a tool for the identification of defects in documentation and thus as a guide that highlights where improvements are necessary. Addressing challenges identified in this audit can drive the department towards becoming a model for RCS guideline adherence and showcasing high-quality surgical documentation and patient-centred care.

BK-SAD: A Large Scale Dataset for Student Activity Recognition

Skeleton-based human action recognition has emerged as a prominent research topic in the field of artificial intelligence due to its broad applicability in a wide range of domains, including but not limited to healthcare, security and surveillance, entertainment, and intelligent environments. In this paper, we propose a novel data collection methodology and present BK-Student Activity Dataset (BK-SAD), a new 2D dataset for student activity recognition in smart classrooms that outperforms the existing NTU RGB+D 120 dataset, SBU Kinect Interaction dataset. Our dataset contains three classes: hand raising, doze-off, and normal activities. The dataset was collected using cameras placed in real classroom environments and consisted of video data from multiple viewpoints. The dataset contains over 2700 videos of students raising their hands, over 1700 videos of students dozing off during class, and over 8500 videos of normal activities. In addition, to evaluate the effectiveness of the proposed dataset, we give some baseline performance figures for neural network architectures trained and tested for student activity recognition on BK-SAD dataset. These ConvNet architectures demonstrate significant performance improvement on the proposed dataset. The effectiveness of the proposed novel data collection methodology and BK-SAD dataset in this paper will enable further research and development of activity recognition models for classroom environments, with potential applications in smart education and intelligent classroom management systems.

Social And Economic Factors That Influence Carbon Mapping Efforts

Carbon mapping, which is an important component of climate change mitigation methods, presents severe hurdles due to economic and social issues. This article investigates the multidimensional context of these elements and their impact on carbon mapping efforts at the regional, national, and global levels. Investigate whether data availability, sharing, capacity building, stakeholder participation, and economic incentives are important factors in the success of carbon mapping programmes. Data availability issues come from limits in data collection methodologies and ownership considerations. Standardised protocols and open data projects are being studied as ways to promote data accessibility and collaboration. Capacity building is explored in the context of interdisciplinary education and training, which is critical for addressing skills shortages and fostering collaboration across industries. Stakeholder interaction highlighted as an essential factor, emphasising the importance of including local opinions and knowledge. To empower communities and overcome power dynamics, participatory mapping methodologies and transparent communication are being investigated. Economic issues such as costs, incentives, and financial constraints highlight the importance of long-term financial models and cross-sector collaboration. Real-world case studies, such as the Indonesian REDD+ programme and the Global Forest Monitoring platform, have provided insight on how these tactics might be implemented in practise. The research continues by emphasising the interplay of social and economic elements in carbon mapping efficiency. Accurate and comprehensive carbon mapping can assist in informed decision making, policy formulation, and global efforts to mitigate climate change by solving these difficulties.

Use of wearable devices in the teaching-learning process: a systematic review of the literature

Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data collection, facilitating the analysis of student interactions across a variety of resources. MMLA capitalizes on data gleaned from diverse interactions, utilizing wearable devices to track physiological responses. This yields deeper insights into factors such as cognitive load, stress levels, interest, and other stimuli pivotal to the learning process. Nonetheless, it is crucial to acknowledge the theoretical and practical challenges underpinning the integration of wearable devices into learning experiences, both in academic settings and in everyday life activities. A systematic review of the literature (SLR) was conducted to identify the characteristics of studies that incorporate wearable devices into teaching-learning process analyses. The outcomes enabled us to discern key attributes such as participant descriptions, the activities implemented for data collection, and a broad spectrum of biometric indicators, with electrodermal activity (EDA) and heart rate (HR) among the most commonly employed methodologies in data analysis. Future endeavors should be centered on the formation of interdisciplinary teams. The objective is to devise novel methodologies for multimodal data collection and analysis that can discern performance variables, thereby enhancing learning in a manner conducive to more fluid, reflective educational experiences for all participants in the teaching-learning process.

Trends in advertising and consumption research: a longitudinal analysis of the academic field in Brazil from 2006 to 2018

This study explores the general body of texts of the project on research trends in advertising and consumption, based on what has been published in the most qualified national journals in the area of Communication in Brazil. The study is limited to Brazilian journals, as evaluated by the Qualis CAPES stratum A2 (valid until 2018), covering the years from 2006 to 2018. The data collection methodology is inspired by a U.S. study (Kim et al., 2014). The results are systematized in a union of two major axes: 1. Studies of advertising and its corollaries, which deal with both traditional advertising and new formats and 2. Media consumption and the consumption through mediatization of products, brands, services and ideas, as well as observations and comments about certain authors, institutions and trends in this communication subfield. The study not only analyzes the macrocosm of advertising and consumption in the area but discusses its physical, cultural, social and political dimensions as well, exploring the microcosm by mentioning the field’s main authors and the nature of their accomplishments.

Informing development of a socioeconomic data collection toolkit for marine energy: a literature review

Marine energy projects have the potential to create significant benefits by stimulating economic growth, improving local infrastructure and services, and providing energy security and resilience. Collecting social and economic data is necessary to anticipate potential benefits or adverse impacts, and to develop and appropriately site marine energy projects that suitably address community needs, incorporate and align with community values, and satisfy consenting requirements. Despite the importance of this information, consistent methodology for social and economic data collection to inform marine energy development is lacking. We review the literature from marine energy, other renewable energy industries, and relevant coastal sectors to identify common metrics, methods, and applicable tools for collecting data on social and economic effects. From this, we synthesize our findings and identify lessons learned that will form the foundations of a methods toolkit and template for data collection. This literature review and the eventual development of the toolkit will enable marine energy projects to identify, avoid, and mitigate potential negative effects at the forefront. By sharing findings from the literature and the lessons learned in the process of creating the toolkit, we hope to continue to advance the marine energy industry in a way that promotes energy equity, ensures environmental justice, and centers community values and needs.

Evaluation of site selections for solid waste landfill by using GIS in Phu Quoc island, Kien Giang province, Vietnam.

Selecting the location for domestic waste disposal and waste treatment plant is a crucial issue as it directs impacts on health-related, social and environmental factors. One of the effective tools for solving this problem is Geographic Information System (GIS) which employs Multi-Criteria Analysis (MCA). This research aims to identify the optimal locations to evaluate the existing solid waste landfill site and waste treatment plant for land use planning in Phu Quoc island in Kien Giang province for reducing the plastic waste leaking into the ocean. The island is categorized as the urban at small scale with population of 100,000 to 500,000; construction of waste treatment facilities (middle scale) with the capacity of 500 tons per day is now planned. These contents of this study are the new contributions to the methodology for data processing and data collection. The main research methods were applied to geo-spatial data collection derived from maps, satellite imagery, and existing local land use planning information. The criteria for site selections for solid waste landfill were chosen under Vietnamese construction standards and Ministry of Natural Resources and Environment, Ministry of Construction, international regulation, and the provincial policy. Then Analytic Hierarchy Process (AHP) and GIS processes were based on 9 main factors such as (1) distance to an urban area, (2) distance to a rural village, (3) distance to the water surface, (4) distance to roads, (5) distance to electrical supply stations, (6) distance to industrial zones, (7) distance to waste disposal, (8) compliance with the local land use planning, and (9) agreement for approval for site locations for solid waste landfill from the local community. National standard requirements for waste landfill site selection are adjusted to meet the local context. The updated land use data source is applied, and the recommendation for the suitability of the waste landfill sites is formulated. Study results showed that there are four potential sites located in Cua Can, Bai Thom, and Ham Ninh communes with a total area of 84.5 hectares. These areas are identified to be very suitable for solid waste landfill locations and location of waste treatment plants; and corresponding to the land use planning of the local government. The results of the study also recommend policies and solutions for environmental management in the coastal area of Phu Quoc island.

DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset

This article presents the DeepSense 6G dataset, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The DeepSense 6G dataset is built to advance deep learning research in a wide range of applications in the intersection of multi-modal sensing, communication, and positioning. This article provides a detailed overview of the DeepSense dataset structure, adopted testbeds, data collection and processing methodology, deployment scenarios, and example applications, with the objective of facilitating the adoption and reproducibility of multi-modal sensing and communication datasets.

624 Medication Cessation Post-TURP: Are We Getting It Right?

Abstract Aim Most patients who have a TURP should be advised to discontinue medication for bladder outflow obstruction secondary to benign prostate hyperplasia (BPH) after their surgery. This closed loop QIP audited whether this was the case, presented the findings to the department and re-audited to see whether there had been a decrease in continuing unnecessary post-TURP medication. Method The QIP began in October 2020 with a retrospective review of 50 patients that underwent a TURP at a large district general hospital. Patient records were reviewed to ascertain if patients were taking alpha-blockers (ABs) or 5 alpha-reductase inhibitors (5ARIs) pre-operatively, and if these were discontinued post-procedure. Any instruction to continue medication post-operatively was noted in the data collection. This data was presented at a departmental research and audit meeting. The second QIP cycle used the same data collection methodology for the subsequent 50 patients who underwent a TURP (June 2021). Results The presentation resulted in a statistically significant decrease in unclear documentation 30% to 10% (p = .0124). Although there was an increase medication discontinuation post-TURP (27.3% to 48%) this wasn’t statistically significant (p = .246). The percentage of patients who were continued on an AB or 5ARI post-op without documentation decreased from 63.3% to 48%, but this change was also not statistically significant (p = .384). Conclusions Simple departmental audits help improve patient safety through clearer documentation and presentation of new literature. It would be beneficial to produce clear guidelines to patients and their primary care physicians to advise to discontinue BPH medication TURP unless otherwise advised by the urologist.

Building Software for Hierarchical Events in Biodiversity Informatics

In 2019, the Atlas of Living Australia (ALA) ran a national consultation, clarifying a long-held suspicion that while simple occurrence records provide invaluable discoverability and analysis for biodiversity data, the lack of contextual information on data collection methodology and protocols limits its usefulness for species abundance estimation and time-series analysis. The consultation recognised that the ALA has strong leadership in biodiversity standards and development, and that our 12-year history and investment in projects and engagement demonstrates a clear capacity to transition to a repository capable of capturing and aggregating the monitoring and survey data required for conservation efforts (Daly 2019). Around the same time, the larger data landscape was undergoing change in a similar direction, both internationally through the Global Biodiversity Information Facility’s (GBIF) Unified Model engagements, and nationally through the development of the Australian Biodiversity Information Standard (ABIS), an ontology for describing environmental data (Anonymous 2021). We embarked on a project to examine existing data standards and practices, extend our own occurrence model, and build software that could ingest event-based datasets and make them discoverable and interoperable. Initially we focused on well-structured surveys, both marine and terrestrial, to develop the system and user interface (UI). During the project, we restructured and modeled other exemplar datasets, collaborating with GBIF to develop event terms, vocabularies, and user interface components. Seeking interoperability with existing standards, we integrated concepts from both ABIS and the Ocean Biodiversity Information System’s (OBIS) ENV-DATA model (De Pooter et al. 2017) into a standardised yet flexible implementation of Event Core, navigable via a friendly user interface. The initial software release is comprised of an ingestion pipeline for events in parallel to occurrences, an index capable of handling nested data structures, and a user interface. The UI guides the user to explore and filter datasets; includes visualisations for data structures, taxonomic scope, repeat location surveys, extended measurements or facts; and links out to child occurrence records. Users can download filtered original and interpreted datasets with Digital Object Identifiers (DOI), in compressed files that comply simultaneously with Darwin Core Archive and Frictionless Data Package specifications. On release, we will present a range of datasets covering different event-based scenarios. The model has serendipitously provided the flexibility to encapsulate complex seed bank data. During the project, we developed a draft extension, which we used to service a new data portal for the Australian Seed Bank Partnership, a testament to the model’s serviceability for novel use cases. The ALA has taken innovative steps beyond simple collection of complex data types and worked with our local biodiversity informatics community to provide a navigable interface to this data. We intend to continue working with our own data providers and the international community, to realise the benefits of a more complex data model.

Management strategies in the English as a Foreign Language (EFL) teaching-learning process: A comparative analysis of Ecuadorian Public and Private institutions

This research investigation delves into the classroom management routines and protocols implemented by English educators within two educational institutions, one public and the other private, over the course of a senior academic year. The primary objective of this inquiry is to dissect the commonalities and disparities between these institutions concerning their methodologies for classroom management. The researchers strive to identify the challenges encountered by instructors when implementing classroom management routines and protocols, alongside assessing students' comprehension of and adherence to these established procedures. The research employs a blend of three data collection methodologies: observation checklists, surveys, and interviews, which collectively employ triangulation to offer comprehensive insights. The findings divulge substantial disparities and limitations in the application of routines and procedures between the public and private institutions, notably concerning behavioral control and the diversity of pedagogical activities integrated into lessons. The public institution demonstrates a heightened degree of instructor authority in overseeing student behavior, while the private institution incorporates a more intricate range of activities during instructional sessions. Drawing from the conclusions derived from this research, the authors proffer tailored recommendations to English instructors in both educational settings. These recommendations are meticulously formulated to address the identified challenges and proffer potential resolutions for augmenting classroom management, thereby ultimately facilitating the pedagogical trajectory of teaching and learning.

PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN KARYAWAN KONTRAK MENJADI KARYAWAN ORGANIK DENGAN METODE SAW PADA PT. KRAKATAU JASA LOGISTIK

An important element in a company that is highly expected is Human Resources (HR). If HR can be well organized, the company can carry out all its business processes properly. One of the ways of good HR management by using the regeneration of each employee, the appointment of contract employees to become organic employees is a form of regeneration as a successor for senior employees whose term of service will soon be over. So before the employee is declared retired, HR management must evaluate contract employees who will be promoted as organic employees to become their successors. There is no internal system to promote employees at PT. Krakatau Logistics Services, is a problem in hiring organic employees which usually takes time, effort and is very expensive. And do not yet have criteria that can be used as a benchmark for evaluating employee performance, making it difficult to make decisions. The system designed here uses the Simple Additive Weighting (SAW) method. The data collection methodologies used were observation and interviews, as well as the protoyping system development method and UML data modeling. The programming language used uses PHP. The positive impact of designing this decision support system is that the implementation of hiring contract employees to become organic employees can be done internally without the need to involve third party services.

Using Actor-Network-Theory as a Means of Exploring the Management of Community Development Networks

This paper explores the use of Actor-Network-Theory (ANT) as a means of understanding the management of community development networks. This was undertaken through the application of ANT as a theoretical methodology to the case of ‘Organisation A’, a community development organisation operating in Ireland which has grown rapidly over the past 10 years and is embarking on a strategic review intended to examine all aspects of the organisation. The data collection methodology is qualitative and involved senior managers participating in semi-structured interviews. An analysis framework based on ANT was developed with the aim of understanding and articulating the management of this organisation as a complex network. The application of ANT is used to map the state of affairs of a network through the use of conceptual tools. Central to this is identifying key patterns of action as translations. These patterns are then used to explore how translations are negotiated through to completion. In the case of Organisation A, this highlights the management of operations in a network of varied stakeholders. A key output of this study was in identifying the centres of controversy, as areas where translations fail, and need to be further explored. Identifying these areas creates a map which can be used by stakeholders to further assess and develop the empirical state of the network.

The Role Of The Chef De Partie In Support Operations In The Pastry Section Of Hotel Novotel Semarang

Prita Filadelfia. C13.2019.00239. 2023. The Role of a Chef de Partie in Supporting Operations in the Pastry Department of Novotel Hotel Semarang. Bachelor of Applied Science in Hospitality Management, Faculty of Cultural Studies, Dian Nuswantoro University.This final project aims to explain the role of a Chef de Partie, especially how the Pastry Department supports the operations. A Chef de Partie has the duty and responsibilities to manage the team. Lack of supervision from a leader makes an operation not run well, so guest complaints can occur. This research used qualitative descriptive methodology for data collection. The data was collected with interviews, observations, and documentation to obtain accurate data regarding the role of a Chef de Partie in the operations of the pastry section. The research results obtained by researchers are that a Chef de Partie has a very important role in leading his team so as to minimize a problem and be able to overcome problems at the internal and external levels, but if the duties and responsibilities are not carried out properly then it can lead to unsatisfactory product results and guest complaints. The role of a Chef de Partie is very influential in the operations of the pastry section in order to improve the image of a hotel and guest satisfaction.

Linguistic Shift among Ghanaian and Nigerian New English Native Speakers (NENS): Pedagogical Implications

This study adopts a mixed-methods research design, incorporating both quantitative and qualitative data collection and analysis methodologies, to examine the proficiency of Non-Native English Speakers (NENS) in Ghana and Nigeria with respect to language concord usage. The research focuses on individuals who utilize English as their primary means of communication. A total of four hundred students, equally distributed between Ghana and Nigeria, participate in the study. Quantitative data is acquired through the administration of a survey questionnaire, which explores participants' language backgrounds, patterns of language use, and competence in employing concord and tense structures in English. The overall percentages of correct responses for both countries are computed, yielding approximately 42.65% for Ghana and approximately 39.15% for Nigeria in concord performance. Notably, Ghana exhibits a marginally higher overall percentage of correct responses compared to Nigeria. The findings of this investigation hold significant implications for pedagogy in both nations. To address the observed linguistic challenges in Ghana, the study advocates for the adoption of more communicative and task-based approaches to English language teaching, alongside an increased emphasis on authentic language exposure. The research underscores the pressing need for more effective pedagogical methodologies in instructing English concord usage. English language instructors in Ghana and Nigeria, as well as analogous contexts, are encouraged to acknowledge the identified challenges and devise strategies to enhance language concord instruction.

Design and Implementation of a Versatile OpenHAB IoT Testbed with a Variety of Wireless Interfaces and Sensors

This paper presents the design and implementation of a versatile IoT testbed utilizing the openHAB platform, along with various wireless interfaces, including Z-Wave, ZigBee, Wi-Fi, 4G-LTE (Long-Term Evolution), and IR (Infrared Radiation), and an array of sensors for motion, temperature, luminance, humidity, vibration, UV (ultraviolet), and energy consumption. First, the testbed architecture, setup, basic testing, and collected data results are described. Then, by showcasing a typical day in the laboratory, we illustrate the testbed’s potential through the collection and analysis of data from multiple sensors. The study also explores the capabilities of the openHAB platform, including its robust persistence layer, event management, real-time monitoring, and customization. The significance of the testbed in enhancing data collection methodologies for energy assets and unlocking new possibilities in the realm of IoT technologies is particularly highlighted.

An Assessment of the Gains and Pains of Western Democracy in Nigeria Since 1999

Since the return to democratic governance in Nigeria in 1999, the country has witnessed several upheavals and topsy-turvy attempts toward improving people-centered democratic governance and leadership management in Nigeria. The challenges revolve around violation of the rule of law, abuse of fundamental human rights, electoral malpractices, injustice and impunity, corruption, terrorism, political instability, budgetary distortions, poor provision of infrastructural social amenities, unemployment and grinding abject poverty. Due to these numerous challenges, most scholars are skeptical about the success of democracy in Nigeria. Therefore, to understand whether or not the practice of Western democracy is a success story in Nigeria, this paper is structured into the meaning and principles or features of democracy, the success of Western democracy and its failures, and the way forward. The methodologies for data collection were library research and reviews. Qualitative primary data were accessed and used. The findings revealed that while there are gains in democracy, the pains and or failure outweigh the success.