Data Collection Strategies Research Articles

Pengembangan Aspek Landasan Terhadap Perancangan Kurikulum di Sekolah Dasar

This article discusses the development of a foundation for curriculum design in primary schools. A foundation must support the development of the curriculum in order for it to work in accordance with its stated objectives. Guidelines for curriculum design should be included in the curriculum content. The curriculum is a tool for work that is prepared so that the plan can be followed effectively. The research methodology used in this article is the desk research method, which involves collecting information from various online sources, including books and journals. In other words, the desk research method requires a literature review of data sources in the form of books and journals. The purpose of this article is to provide readers with a better understanding of the fundamentals involved in curriculum design. The data collection strategy or data analysis technique uses a qualitative approach, specifically a literature analysis of data from books and journals found on the internet. The results of this study found that there are 4 foundations of curriculum design including, (1) the philosophical foundation, which is used in the creation of the curriculum both as an actual implementation in schools and as a written program, (2) the psychological foundation, to modify teaching to suit the needs of students, starting with the content that needs to be taught and how to teach it, (3) the sociological foundation, which must be adapted to the environment of the community where education is held, including the facilities and infrastructure available, affecting and supporting the implementation of education, (4) the foundation of science and technology, the curriculum must consider industry needs, lifestyles, labor needs and demands, and individual needs in line with advances in science and technology in order to keep pace with these developments. This research will also show how the above foundations can play an important role in curriculum design. Keywords: foundation, design, curriculum

Pengaruh Kompensasi, Disiplin Kerja Dan Kepuasan Kerja Terhadap Kinerja Karyawan

This research aims to examine the significance of the influence of compensation, work discipline and job satisfaction on employee performance (case study on PT Rumpun Sari Kemuning, Ngargoyoso District, Karanganyar Regency). This form of research is a survey. The population in this research is 300 employees. The sample in this research was 75 labor employees obtained from the Slovin Formula. The sample sampling method uses random sampling techniques. This research uses a descriptive data analysis method, and is analyzed using multiple linear regression analysis. The data collection strategy uses questionnaires. The findings show that compensation, work discipline and job satisfaction have a significant effect on the performance of PT Rumpun Sari Kemuning employees.

International Trade Law and the World Trade Organization: Promoting Global Economic Cooperation

International commerce has emerged as a key EG driver in our more interconnected world, boosting both national prosperity and individual well-being. This study intends to investigate how the World Trade Organization (WTO) and international trade law (ITL) are related and what function they play in fostering international economic cooperation. Data collection and analysis will be done using a quantitative research approach. The data collection strategy will involve the creation and distribution of online surveys to individuals interested in ITL and the WTO. The survey questionnaire will encompass inquiries about various aspects, including the impact of ITL on economic cooperation, the effectiveness of the WTO's policies, and other relevant variables. A sample size of 600 individuals, who are knowledgeable about or involved in ITL and the WTO, will be selected. Statistical analysis programs like SPSS will be used to analyze the data from the online surveys. The data will be employed to examine the relationship between ITL, the WTO, and their influence on global economic cooperation. The collected data through the questionnaire will be instrumental in achieving the objectives of this research study. The 600 questionnaires distributed were arranged in the form of a Likert Scale. This information will be gathered in order to better understand how ITL and the WTO affect international economic cooperation by shedding light on their respective contributions to that cause.

Urologic oncology considerations in transgender and gender diverse patients.

This review delves into the pressing issue of urologic oncology considerations within the transgender and gender-diverse (TGD) community. With estimates suggesting that TGD individuals constitute 0.3 to 0.5% of adults worldwide, and this number steadily rising, our review examines the barriers that impede the delivery of excellent quality care, particularly in the context of cancer diagnosis and treatment. Recent findings highlight disparities in cancer screening, diagnosis, and treatment access for TGD individuals. These challenges are compounded by a dearth of research and the failure of healthcare systems to account for gender identity and its nuances in data collection. Main themes in the literature include the impact of gender-affirming hormone therapy and surgery on cancer risk, challenges in prostate cancer screening and management, and considerations pertinent to testicular and other urological cancers in TGD patients. The implications for clinical practice and research are profound and emphasize the need for multidisciplinary approaches that cater to the unique healthcare needs of TGD individuals. This includes comprehensive strategies for inclusive and accurate data collection, alongside the development of evidence-based guidelines for cancer screening and management tailored specifically to this population.

BB-GeoGPT: A framework for learning a large language model for geographic information science

Large language models (LLMs) exhibit impressive capabilities across diverse tasks in natural language processing. Nevertheless, challenges arise such as large model parameter size and limited model accessibility through APIs such as ChatGPT and GPT-4, which prohibits the model deployment on mobile devices and domain adaptation or fine-tuning. Moreover, while LLMs excel in general domains, their performance in specialized fields such as GIS may not always align with the expectations of domain experts. This is primarily attributed to the diverse disciplinary origins of the training data, which often lack comprehensive coverage and treatment of knowledge specific to individual disciplines (e.g., GIS). Therefore, there is a crucial need to train and adapt LLMs specifically designed for different professional fields. In this paper, our focus is on the GIS domain, where we introduce BB(BaBy)-GeoGPT, a large language model with GIS-specific knowledge. To achieve this goal, we curated a comprehensive set of resources, comprising model pretraining data (BB-GeoPT, 26,907 documents), supervised fine-tuning data (BB-GeoSFT, 35,876 instructions), and evaluation data (BB-GeoEval, 600 objective questions and 150 subjective questions). BB-GeoGPT is developed by first adapting an open-source general-domain LLM, the LLaMA-2-7B model, to our pretraining data. Subsequently, we use instruction tuning to further fine-tune the model on our BB-GeoSFT. Through extensive experiments on the evaluation dataset, BB-GeoGPT demonstrates improvements ranging from 10.55% to 47.57% for objective questions and from 7.87% to 27.73% for subjective questions, when compared to general LLMs of similar size in terms of accuracy. Moreover, our data collection strategy and the amassed data can serve as a foundation for advancing LLM research in the GIS domain, fostering further development.

A New Joint Data Collection and Wireless Energy Transfer (SSDCWC) Strategy for Rechargeable Wireless Sensor Network

A New Joint Data Collection and Wireless Energy Transfer (SSDCWC) Strategy for Rechargeable Wireless Sensor Network

Applicability of pre-trained CNNs in temperate deforestation detection

ABSTRACT Technological advancements have opened up new possibilities for accurately identifying deforested areas and developing effective data collection strategies. Our paper proposes a practical approach to improve deforestation monitoring using satellite images and Convolutional Neural Networks (CNNs) for image classification. To train the CNNs, we used labeled data primarily sourced from the Amazon basin, while images from the Romanian Carpathian mountains were reserved for testing. Building on this foundation, we evaluated various pre-trained CNN architectures, including AlexNet, VGGNet, ResNet, DenseNet, EfficientNet, GoogLeNet, and Swin Transformer, comparing their performance with a typical CNN architecture. In addition, we refined the performance by testing four ensemble learning methods. We found a decrease of only 10% in accuracy for using the models on data from the temperate area. Our findings contribute to this interdisciplinary field by providing insights into the effectiveness of pre-trained CNNs in classifying satellite images from temperate regions, trained with knowledge from tropical deforestation data. This contribution may open ways for the development of a quasi real-time deforestation monitoring system and serve as a reference for future research in temperate areas.

Efficient multiple unmanned aerial vehicle-assisted data collection strategy in power infrastructure construction

Efficient data collection and sharing play a crucial role in power infrastructure construction. However, in an outdoor remote area, the data collection efficiency is reduced because of the sparse distribution of base stations (BSs). Unmanned aerial vehicles (UAVs) can perform as flying BSs for mobility and line-of-sight transmission features. In this paper, we propose a multiple temporary UAV-assisted data collection system in the power infrastructure scenario, where multiple temporary UAVs are employed to perform as relay or edge computing nodes. To improve the system performance, the task processing model selection, communication resource allocation, UAV selection, and task migration are jointly optimized. We designed a QMIX-based multi-agent deep reinforcement learning algorithm to find the final optimal solutions. The simulation results show that the proposed algorithm has better convergence and lower system costs than the current existing algorithms.

Influence of Neglectful Parenting Approaches on Self-esteem of Teenagers Aged 13-19 Years in Selected Day Secondary Schools in Lari Sub County in Kiambu County, Kenya

Purpose: Parents play a critical role in influencing the self-esteem of teenagers. The main aim of the study was to investigate how neglectful parenting approaches influence the self-esteem of teenagers aged 13- 19 years in day secondary schools in Lari Sub County, in Kiambu County, Kenya. Methodology: The researcher used a concurrent correlational research design. In this approach both qualitative and quantitative data collection strategies were used simultaneously to investigate the relationship between the variables. The target population was 4500 students. The sample size was 1280 participants. Questionnaires and structured interviews guides were used for data collection Stratified and Simple random sampling techniques were used to select the accessible study population. The qualitative data was collected using interview guides and presented thematically in narrative form. At the univariate level, the quantitative data was analyzed using (SPSS) software version 27 and presented in tables. At the bivariate level Pearson’s product moment correlation coefficient was used to obtain correlations and significance. Findings: From the descriptive findings 38.7% of the teenagers from neglectful parents are experiencing unhealthy self-esteem.24.0% of teenagers from authoritative parents have a healthy self-esteem. 37.3% of the teenagers had moderate self-esteem. The results also indicate that out of 1200 respondents (371) 30.9% of respondents had good experiences with their parents. 117(9.8%) had moderate experiences with their parents and 712(59.3%) had antagonistic experiences with their parents. From the inferential findings a statistically significant relationship was also found between neglectful parenting approach and teenage self-esteem, (r =0.740, p =.000). From thematic findings presented in narrative mode from school and peer counsellors, it was evident that neglectful parenting dominates the Lari Sub County region since most of the clients had unfavorable experiences with their parents. Few have lovely experiences with their parents. Unique Contribution to Theory, Practice and Policy: The research was guided by the Albert Bandura Social Learning Theory. The theory provides insight that during their initial interaction with their family children observe and learn from the actions and behaviors of caregivers or parents. Therefore, decent actions, words and behaviors from parent’s influence positively the self-esteem of teenagers. The teenagers feel good, secure and loved to be part of a warm and loving family which gives them confidence to explore their world and try new things. However, toxic words, actions and behaviors in parental relationships with teenagers influence negatively the self-esteem of many teenagers. The study recommended that policy makers in the state department of early childhood education in Lari Sub County should embrace programs to educate teenagers on healthy ways to adapt to unfriendly experiences with neglectful parents since they cannot change them but they can only build their individual self-esteem. It also recommends that parents to be educated on the need to embrace authoritative parenting strategies to cultivate health self-esteem of teenagers.

University–industry collaborations as processual inter-organizational learning: implications of the third context

PurposeThe purpose of this paper is to explicate how the processual third context learning approach provides new understandings and dimensions to the well-established terminology within the fields of inter-organizational learning and university–industry collaboration. These understandings and dimensions are empirically informed by an analysis of a collaboration between Aalborg University and Bang & Olufsen, a Danish loudspeaker manufacturer.Design/methodology/approachTo fulfill the research purpose, a case study based on a participatory data collection strategy was applied in the collaboration between Aalborg University and Bang & Olufsen. Data were collected through a qualitative multimethod approach, comprising semi-structured interviews, field observations and field notes. Phenomenologically inspired content analysis revealed the themes outlined and discussed.FindingsThe third context framework was useful in outlining the complexity of a bidirectional collaboration. The inter-organizational learning processes were, for example, influenced by the actors’ recurrent inquiry of perplexities regarding the purpose and content of the collaboration. The extracted empirical findings are discussed and related to the fields of inter-organizational learning and university–industry collaboration, thereby explicating how a processual learning perspective provides new understandings and dimensions to collaboration across organizations.Originality/valueThe paper contributes empirically informed processual-learning dimensions to the literature on inter-organizational learning and university–industry collaboration.

Public engagement for the conduct of a controlled human infection study testing vaccines against Necator americanus (hookworm) in areas of active hookworm transmission in Brazil.

This is a qualitative action research that includes the development of an educational intervention with residents of a rural area in Minas Gerais, Brazil, where there is continuous natural transmission of the human pathogen Necator americanus ("hookworm"). In this area, it is intended to carry out a proposed phase 3 vaccine clinical trial in the future to test the efficacy of hookworm vaccines using controlled human infection. Two data collection strategies were used: an educational intervention and a focus group. The participants' perceptions showed distinct perspectives on CHIS. On one side, they recognized that the investigation is essential for the community, but on the other side, they thought that there would be resistance to its conduct by fear of infection. The idea that the study would generate a benefit for the greater good, contributing to the prevention of hookworm infection, was clearly stated. The participants perceived that the study offered concrete risks that could be reduced by constant monitoring by the researchers. They also mentioned the importance of access to information and the positive influence those who express interest in participating in the study can exert in the community. In relation to comprehension the participants memorized the information, mobilized it to explain everyday situations and created strategies to disseminate the study and engage the community in its development. By repeating and making sense of the information, the participant not only assimilates the knowledge transmitted, but also creates new knowledge. We concluded that an educational process of discussion and dialogue around participants' perceptions about the CHIS, promotes understanding and allows ways to disseminate information about the research to be collectively created.

Analisis Faktor-Faktor Yang Mempengaruhi Kepatuhan Wajib Pajak Kendaraan Bermotor

This research was conducted with the aim of examining the effect of Bleaching Motor Vehicle Tax, Exemption of Transfer Fee for Motor Vehicles, Socialization of Taxation and Online Tax Payments on Motor Vehicle Taxpayer Compliance at the SAMSAT Semarang I Office. Motor Vehicle Tax is the largest income of the provincial government so this is necessary maximized so that taxpayers obey to pay their obligations, one of the efforts that can be done by the provincial government is by procuring a program for the cancellation of motor vehicle tax fines and the exemption of motorized vehicle transfer fees. This needs to be supported by effective outreach and good service to make it easier for taxpayers to pay taxes, one of which is by making online tax payments. This research uses a quantitative type, namely with a questionnaire as a research instrument. The population in this study were 100 SAMSAT Semarang I taxpayers with accidental sampling as the data collection strategy. The tests used include: descriptive statistical tests, data quality tests, classical assumption tests, multiple linear regression analysis and hypothesis testing. The results of this study indicate that the Bleaching of Motor Vehicle Taxes, Exemption of Transfer Fees for Motor Vehicles and Tax Socialization have a significant effect on Motor Vehicle Taxpayer Compliance, while Online Tax Payments have no significant effect on Motor Vehicle Taxpayer Compliance at SAMSAT Semarang I.

Strategic interventions for bridging the design-reality gap in property conferment rights: a case study of India’s ambitious initiative

PurposeThis research aims to assess how well the e-governance initiative aligns with its design expectations and on-ground realities for property management to redevelop Delhi, the mega-city of India. Additionally, the study proposes strategic interventions to address any gaps identified, aiming to improve the project’s effectiveness and success.Design/methodology/approachThe research employs a singular exploratory case study methodology to scrutinise the e-governance initiative undertaken by the Government of India to confer property rights. Specifically, the study utilises a qualitative research approach known as design-reality gap (DRG) analysis. The study draws from primary and secondary sources using a mixed-methods data collection strategy. Primary data are gathered through a purposeful and snowball sampling method involving direct engagement with respondents, whilst secondary data are sourced from the project portal.FindingsThe investigation reveals a substantial disparity between the planning and execution phases of e-governance projects. This incongruity predominantly manifests in the domains of process, staffing and skills, as well as objectives and values. The study further finds that strategic collaboration amongst stakeholders and the sustainability of decisions are the most critical factors in ensuring the success of e-governance initiatives and bridging the DRG of e-governance projects.Research limitations/implicationsThis research highlights the complex challenges faced by e-governance projects in technical, human and organisational aspects. The successful implementation and sustainability of these projects require effective strategies to overcome challenges, which management should proactively identify and act on. To improve services, beneficiaries should be encouraged to provide feedback and suggestions, as they play a crucial role in service enhancement. A dynamic feedback loop would be established by creating a two-way interaction between beneficiaries and service providers, leading to iterative service improvement. It is important to note that the study’s findings are more illustrative than conclusive due to the moderate sample size, reflecting its limitations.Originality/valueThe research contributes to the scholarly discourse on e-governance and policy implementation by comprehensively examining the alignment between conceptual design and real-world execution. It also introduces a normalised scale for the DRG framework, mapping its dimensions to deduce specific outcomes. This innovative approach enhances the research’s originality and value, offering insights applicable in both academic and practical domains.

Energy efficient reliable data transmission for optimizing IoT data transmission in smart city

The rapid proliferation of the internet of things (IoT) technology has significantly transformed urban landscapes, giving rise to smart city frameworks that leverage interconnected devices for enhanced efficiency and functionality. In these environments, vast amounts of data are generated by diverse sensors and devices, necessitating advanced strategies for effective data collection and transmission. This paper introduces a novel approach to address data collection and transmission challenges in IoT-enabled smart city frameworks. The proposed design integrates IoT-Cloud for efficient data collection and employs the energy efficient reliable data transmission (EERDT) model, optimizing IoT data transmission. The enhanced dragonfly routing algorithm, incorporating the firefly algorithm, enhances data routing efficiency. Experimental results demonstrate EERDT's superiority over energy-aware iot-routing (EAIR) and location-centric energy-harvesting aware-routing (LCEHAR), revealing significant improvements in communication overhead, data processing latency, and network lifetime. The EERDT exhibits substantial reductions in communication overhead, enhancing overall network performance. The EERDT model showcases lower data processing latency and energy consumption, highlighting its potential for resource-efficient IoT data transmission. This work contributes an innovative solution for smart city IoT networks, emphasizing performance enhancements and resource efficiency.

Developing learning and training within industry model to improve work readiness of vocational high school students

<span lang="EN-US">Unemployment is still a national priority that needs to be addressed. In 2022, vocational high schools in Indonesia had the highest open unemployment rate. The highest open unemployment rate is a result of vocational high school students’ insufficient work readiness. Therefore, this research aims to develop a learning and training within industry (LTWI) model, and to evaluate the model’s efficacy in increasing vocational high school students’ work readiness. The research employed a research and development (R&D) design by Richey and Klein with the phases of needs analysis, internal validation, and external validation. There were 12 teachers and 89 students from the automotive engineering department at Muhammadiyah 1 Pakem Vocational High School and 1 Puring Vocational High School, as well as six instructors from the automotive industry: GAS Auto Service, Automotive Jogjakarta Center (OJC), Bengkel Barokah, and RND Auto Service, participated in the research. Data collection strategies adopted were interviews, questionnaires, and performance tests. The data were descriptively evaluated, and the conclusions were drawn using a categorization formula. With an average score of 3.43, the LTWI model can be used to learn very well. With an average final score of 3.32, the efficacy of the LTWI learning model falls into the category of “very good”. The LTWI model can be applied effectively to learning in vocational high schools since it has a positive influence on students’ work readiness.</span>

High-confidence placement of low-occupancy fragments into electron density using the anomalous signal of sulfur and halogen atoms.

Fragment-based drug design using X-ray crystallography is a powerful technique to enable the development of new lead compounds, or probe molecules, against biological targets. This study addresses the need to determine fragment binding orientations for low-occupancy fragments with incomplete electron density, an essential step before further development of the molecule. Halogen atoms play multiple roles in drug discovery due to their unique combination of electronegativity, steric effects and hydrophobic properties. Fragments incorporating halogen atoms serve as promising starting points in hit-to-lead development as they often establish halogen bonds with target proteins, potentially enhancing binding affinity and selectivity, as well as counteracting drug resistance. Here, the aim was to unambiguously identify the binding orientations of fragment hits for SARS-CoV-2 nonstructural protein 1 (nsp1) which contain a combination of sulfur and/or chlorine, bromine and iodine substituents. The binding orientations of carefully selected nsp1 analogue hits were focused on by employing their anomalous scattering combined with Pan-Dataset Density Analysis (PanDDA). Anomalous difference Fourier maps derived from the diffraction data collected at both standard and long-wavelength X-rays were compared. The discrepancies observed in the maps of iodine-containing fragments collected at different energies were attributed to site-specific radiation-damage stemming from the strong X-ray absorption of I atoms, which is likely to cause cleavage of the C-I bond. A reliable and effective data-collection strategy to unambiguously determine the binding orientations of low-occupancy fragments containing sulfur and/or halogen atoms while mitigating radiation damage is presented.

THE DESIGN INNOVATION WITH A BIOPHILIC APPROACH TO SUPPORT THE TEMPORARY CONVERSION OF STUDENT DORMITORY AS A COVID-19 ISOLATION SHELTER

The increasing number of Corona Virus Disease (COVID-19) cases in Bandung, Indonesia, in July 2021 resulted in a higher hospital bed occupancy rate. The conversion of two student dormitory buildings into isolation shelters is expected to accommodate COVID-19 patients who do not have rooms in the hospital. This requires specific planning and innovation, particularly for materials. This study has two objectives: first, to evaluate how long coronaviruses can remain active on different material surfaces. The data collection strategy was carried out through Systematic Review. The second research objective was to design a COVID-19 isolation room that uses materials that facilitate the healing process. Field surveys and traditional literature reviews were conducted for this purpose. This study found that the virus did not survive long on the surfaces of cotton and cardboard. Thus, the room design uses these materials and is considered a biophilic design. This study is expected to provide insights for academics and researchers in interior design and architecture regarding the knowledge of furniture materials that prevent viruses from surviving longer. In addition, it is expected to inspire interior designers to design rooms that can help the healing process using a biophilic approach.

Home Visits in School Social Work Practice: History, Best Practices, and Future Considerations

Abstract Beginning in 1906, the teachers who developed the profession of school social work conducted home visits to bridge communication between the school and home. In the more than 100 years that the profession has continued, home visiting has remained a cornerstone. Despite its continued importance, there remains a lack of comprehensive instruction on how to conduct effective home visits within higher education or professional development programs. This article aims to address this gap by acknowledging the limited research focused specifically on home visiting in school social work and consults the broader home visiting research, applying it to the unique setting of school social work. This article will delve into the purpose and benefits of home visiting, strategies for effective data collection during visits, cultural competencies necessary for fostering productive outcomes, and safety considerations for school social workers. Through this exploration, this article’s authors aim to provide valuable insights and guidance for school social workers striving to enhance their practice and strengthen connections between schools and families.

Health policy and regulations in Seychelles – barriers and opportunities for oral health inclusion

BackgroundSuccessful and inclusive policies that embrace oral health as part of the health agenda have the potential to alleviate the burden of oral diseases and to promote dental public health. This study aimed to understand the factors influencing the inclusion of oral health in health and public policy and regulations in the Seychelles. The barriers and opportunities for inclusion / non-inclusion as well as the impact thereof were explored.MethodologyA qualitative approach was adopted using document analysis and interviews as data collection strategies to allow for a complete analysis of the research problem. Using a purposive sampling approach, individual face to face interviews were conducted with patients, dental staff and representatives of the upper management. Policy and related oral health statistical documents were reviewed to ascertain how oral health was located and implemented from a national to a district level. Thematic analysis and content analysis were used to analyse and interpret the qualitative data.ResultsThe study provided insight on how oral health is contextualised in the Seychelles and how public policy and strategic documents influences the oral health outcomes. There is fragmentation in how the health and oral health agendas are managed and it is coupled with a severe lack of involvement and commitment to address the latter.ConclusionOral health needs to be integrated in all relevant policies and public health programmes as part of the broader national NCDs in Seychelles in order reduce the incidence of oral diseases in the population.

Influence of Motivation and Work Discipline on Employee Performance

This study aims to determine the extent to which work motivation and discipline impact the performance of employees at a pharmaceutical medical equipment company located in Bandung City. The research method employed is descriptive and verification techniques. The researchers employed a data collection strategy involving the distribution of a questionnaire to a sample size of 40 individuals. The instrument underwent rigorous testing before its deployment to ensure its validity and reliability. The statistical technique employed was path analysis, conducted using SPSS version 25 software. The results of descriptive research conducted at a pharmaceutical medical equipment company in Bandung revealed that motivation was evaluated. The work discipline is commendable, and the employee performance is excellent. The verification results indicate that Motivation and Work Discipline significantly impact the performance of study employees at a pharmaceutical medical equipment company in Bandung City. Additionally, there is a correlation between Work Motivation, Work Discipline, and the performance of study employees at the same company.