derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Applying a mixed-methods evaluation to Healthy Kids, Healthy Communities.
Authors: R. Brownson; A. Kemner; L. Brennan
Year: 2015

From 2008 to 2014, the Healthy Kids, Healthy Communities (HKHC) national program funded 49 communities across the United States and Puerto Rico to implement healthy eating and active living policy, system, and environmental changes to support healthier communities for children and families, with special emphasis on reaching children at highest risk for obesity on the basis of race, ethnicity, income, or geographic location. Evaluators designed a mixed-methods evaluation to capture the complexity of the HKHC projects, understand implementation, and document perceived and actual impacts of these efforts. Eight complementary evaluation methods addressed 4 primary aims seeking to (1) coordinate data collection for the evaluation through the web-based project management system (HKHC Community Dashboard) and provide training and technical assistance for use of this system; (2) guide data collection and analysis through use of the Assessment and Evaluation Toolkit; (3) conduct a quantitative cross-site impact evaluation among a subset of community partnership sites; and (4) conduct a qualitative cross-site process and impact evaluation among all 49 community partnership sites. Evaluators identified successes and challenges in relation to the following methods: an online performance-monitoring HKHC Community Dashboard system, environmental audits, direct observations, individual and group interviews, partnership and community capacity surveys, group model building, photographs and videos, and secondary data sources (surveillance data and record review). Several themes emerged, including the value of systems approaches, the need for capacity building for evaluation, the value of focusing on upstream and downstream outcomes, and the importance of practical approaches for dissemination. The mixed-methods evaluation of HKHC advances evaluation science related to community-based efforts for addressing childhood obesity in complex community settings. The findings are likely to provide practice-relevant evidence for public health.
A Novel Application of Head Tracking Data in the Analysis and Assessment of Operational Cervical Spine Range of Motion for Army Aviators.
Authors: S. Williams; Adrienne M. Madison; F. Brozoski; V. Chancey
Year: 2021

INTRODUCTION
Neck pain among rotary-wing aviators has been established as an important issue in the military community, yet no U.S. Army regulation defines exactly what cervical spine range of motion (CROM) is adequate for flight. This lack of regulation leaves flight surgeons to subjectively determine whether an aviator affected by limited CROM is fit to maintain flight status. The U.S. Army Aeromedical Research Laboratory is conducting a study among AH-64 and UH-60 pilots to define CROM requirements in simulated and actual flight using optical head tracking equipment. Presented here is a preliminary analysis of head position data from a pilot and co-pilot in two AH-64 missions.


METHODS
Maintenance data recorder (MDR) files from two AH-64 missions were provided by the Apache Attack Helicopter Project Management Office. Data were filtered down to three-dimensional pilot and co-pilot head position data and each data point was analyzed to determine neck posture. These neck postures were then categorized as neutral, mild, and severe for flexion/extension, lateral bending, and twist rotation postural categories.


RESULTS
Twist rotation postures reached 90 degrees, particularly early in the flight; additionally, a few instances of 90-degree lateral bends were observed. Co-pilots spent more time than pilots in mild and severe twist rotation posture for both flights. Co-pilots also spend a high percentage of time in mild flexion and twist rotation.


CONCLUSION
This investigation provides a proof of concept for analysis of head tracking data from MDR files as a surrogate measure of neck posture in order to estimate CROM requirements in rotary-wing military flight missions. Future studies will analyze differences in day and night flights, pilot versus co-pilot CROM, and neck movement frequency.
Enhancing the success of Ghanaian public road construction projects
Authors: Chelteau Barajei; N. Kheni; Emmanuel Appiah-Kubi; H. Danso; Abdul Wahab Iddrisu
Year: 2023

Abstract The objective of this research paper is to determine the critical success factors (CSFs) influencing the success of public road construction projects from the perspective of a developing nation. A self-administered questionnaire was used to gather data on the extent to which critical success factors gathered from literature impact the success of public road construction projects from sector practitioners’ perspectives in Ghana. The data was then analysed using factor analysis. The study revealed that external environmental factors have the highest influence (46.23%) on public road construction project success, followed by project management factors (12.25%) while procurement-related factors have the least impact (6.97%). Public construction project management organisations and the government will now have a deeper understanding of CSFs that influence the success of public construction projects and use them as a guide to enhance the successful delivery of public road construction projects. Even though numerous studies have been undertaken to enhance the success of construction projects in Ghana, very little attention has been given to procurement-related factors. Thus, the study outcome will add value to sector practitioners and the Government of Ghana in the management of public road construction projects.
Using methods of probability theory and mathematical statistics in project management
Authors: Mariіa Nekrasova
Year: 2023

The place of methods of probability theory and mathematical statistics in the system of general scientific methods of project management is shown. The composition of the main methods of probability theory and mathematical statistics, most in demand in project management, is briefly described. The role of the Monte Carlo method is also noted, because it is designed to take risk into account in the process of quantitative analysis of project characteristics and management decision-making. The possibilities of project management are shown, which provide the methods of probability theory and mathematical statistics in project management from the Project Management Body of Knowledge (PMBoK) methodology. It is shown that the methods of probability theory and mathematical statistics in project management from the PMBoK methodology are most needed in the implementation of the following groups of project management processes: a group of project planning processes, a group of project monitoring and management processes. 
Keywords: methods, probability theory, mathematical statistics, project management
Design of a Website-Based Project Management Information System at Warung Nasi Kak Jum Saridah
Authors: Maulidya Putri Kinanti Ritonga; Yahfizham Yahfizham
Year: 2024

Concept, testing, and service are the main priorities in the Warung Nasi Kak Jum Saridah business. Considering the use of paper media in order recording, table monitoring, and product data systems, problems often arise such as data duplication, misplaced documents, and errors in orders. Therefore, to overcome this problem, Warung Nasi Kak Jum Saridah needs a cashier management information system. This system will help business owners manage product data, monitor the dining table, and manage transactions more efficiently. Prototype analysis using the waterfall method in developing the cashier management information system at Warung Nasi Kak Jum Saridah. The hope is that this system will facilitate the overall cashier supervision and management process, increase efficiency in daily operations, and reduce errors that often occur in recording and monitoring data. Thus, the implementation of the cashier management information system will have a positive impact on the productivity and quality of Warung Nasi Kak Jum Saridah services to customers.
Role of ICT in Project Management
Authors: Fatema Kawsar
Year: 2024

Our country relies heavily on information technology in our interconnected world, and in the present era of digital advancements. These emerging technologies have become available to Individuals in their daily lives and enhance their quality of life. In today’s era, a multitude of ICT devices are used in our daily lives, providing us with the convenience of mobility, enabling us to utilize them anywhere and at any time. These devices function to provide information, enhance speed, facilitate communication, and alleviate the physical and cognitive burden on humans. Based on these concepts, contemporary devices have undeniably assisted humanity in their daily lives. Information and Communication Technology (ICT) has significantly transformed several aspects of our daily lives, specially, in project management. For instance, it has replaced traditional means of communication, like letters, with more efficient methods such as email. It has also revolutionized the way we buy, shifting from physical market purchasing to the convenience of online shopping. This study explores the impact of Information and Communication on project management.
Unraveling the key determinants of successful six sigma implementation: an empirical investigation
Authors: A. Bagherian; Mark Gershon; Sunil Kumar
Year: 2023

This article aims to analyze the importance of critical success factors in effectively implementing Six Sigma. It delves into the determination of key factors and attributes that contribute to successful adoption, considering that not all Six Sigma endeavors have achieved the desired outcomes. According to the research, a significant portion of corporate Six Sigma initiatives (approximately 60%) fail due to incorrect integration of vital factors and misguided assumptions. To conduct the study, a research survey incorporating a Likert scale questionnaire with a simple random sampling method was distributed among 2,325 potential participants, resulting in 573 responses, primarily from Germany, the United Kingdom, and Sweden. Through various structural equation modeling (SEM) approaches, such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), the study revealed four essential elements for success: (1) the competency of belt system employees; (2) project management skills; (3) organizational economic capability; and (4) leadership commitment and involvement. These findings hold significant implications for institutions, practitioners, and researchers seeking to incorporate these elements into their Six Sigma deployment strategies for long-term success. The study's originality lies in its contribution to assessing critical success factors in Six Sigma deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.
An Assessment Framework for Discovering and Using Patterns in Virtual Project Management
Authors: D. Khazanchi; I. Zigurs
Year: 2007

Virtual project management in global organizations is both challenging and important. Being able to identify and apply best practices is an essential skill, as is an understanding of how to leverage the right technology for communication and information sharing. Based on a typology of virtual projects, and using the theoretical frame of patterns, we propose an integrative way of identifying and applying best practices for the management of virtual projects. We present an assessment approach that allows managers to determine the nature of their virtual projects and discover and apply patterns for managing them
Assessing the Accident-Cost Relationship in Building Construction Projects Using Structural Equation Modeling
Authors: Milad Ghanbari
Year: 2024

This study aimed to evaluate the accident-causing factors affecting the total cost of building construction projects using a structural-equation model (SEM). Through the analysis of 35 identified factors categorized into construction, natural disaster, physical and human and psychological domains, this study examined their effects on project costs. The data collected from 120 construction experts in Iraq was analyzed using the SmartPLS software. This study assessed the fit of the measurement model using the following key criteria: reliability, convergent validity and divergent validity. All latent constructs demonstrated Cronbach’s-alpha values of above 0.70 and composite-reliability (CR) values of above 0.70, indicating their reliability. The average variance extracted (AVE) values exceeded the 0.5 threshold, confirming convergent validity. The model also demonstrated acceptable discriminant validity. The results confirmed the significant impact of accident-causing factors on project costs, with "excessive physical activity," "storm," "improper ventilation," "low motivation and low efficiency of the workers," and "fire, explosion and vibration" emerging as the top five influencing factors. These findings emphasized the need for tailored safety measures to mitigate such risks. The study underscored the importance of addressing accident-causing factors to enhance both safety planning and financial outcomes in building construction projects. KEYWORDS: Accident-causing factors, Project cost, Construction-project management, Safety assessment, Structural-equation modeling
The Future of Contract Research Organizations in Dermatology and Aesthetic Research.
Authors: M. Nestor; D. Pariser; J. D. Del Rosso; D. Glaser; D. Goldberg; G. Ablon; Z. Lorenc; Julie Santos
Year: 2022

Objective
Dermatology and aesthetic medicine has experienced significant growth in recent years, driven by industry-sponsored research performed by clinical investigators. Contract research organizations (CROs) play an important role to ensure clinical trials are run efficiently, ethically, and according to Good Clinical Practice. An advisory group of dermatologists and aesthetic researchers was assembled to obtain feedback about CRO experiences for developing a "next-generation" specialty CRO for dermatology and aesthetic medicine.


Methods
Experienced dermatologists and aesthetic physician researchers convened during the 2022 Winter Dermatology Annual Meeting in Kauai, Hawaii, to discuss experiences and make suggestions regarding CROs. Topics included positive and negative aspects of CRO experiences, desirable CRO services, and how CROs can be improved.


Results
Benefits of working with CROs include project, data, and resource management and availability of technology. Desired functions include rapid study start-up, subject recruitment, and accurate and organized site-related documentation. Other qualities include access to large subject populations close to study locations, use of CRO-based clinical research assistants to support principal investigators across study sites, and scientific consultation, protocol development, medical writing, project management, clinical and medical monitoring, data management, biostatistics, and pharmacovigilance.


Conclusion
CROs serve a vital role in the development process of drug, device, and therapeutics; however, it is important that changes to traditional CRO models are made to provide improved interactions with researchers in dermatology and aesthetic medicine.
Addressing SNOMED CT Implementation Challenges Through Multi-disciplinary Collaboration
Authors: Justin Liu; K. Lane; Elisa Lo; Mary Lam; T. Truong; C. Veillette
Year: 2010

This article describes the challenges of implementing SNOMED CT into electronic clinical documentation systems for discharge summaries, synoptic operative notes and ambulatory documentation. Four significant implementation challenges were identified throughout these projects, which required collaboration between specialists across several disciplines to resolve. The challenges included: designing the graphical user interface for selecting SNOMED CT values, gathering and validating template specifications that use SNOMED CT subsets, handling SNOMED CT subsets and extensions, and, creating algorithms and the technological infrastructure to generate fast, meaningful, non-redundant search results. Our experiences suggest that, while the usage of SNOMED CT in tertiary care settings is promising, collaboration between specialists from multiple disciplines is needed to utilize their unique project management, data modeling, technical, and clinical skills in overcoming implementation challenges.
Analisis Manajemen Pelatihan Kader Malaria Pada Populasi Suku Anak Dalam Di Kabupaten Musi Rawas Utara
Authors: E. Sari; Rizma Adlia Syakurah
Year: 2023

Akibat iklim yang mendukung pertumbuhan nyamuk, penyakit malaria terus menjadi permasalahan masyarakat di Indonesia. Berbagai kebijakan telah diterapkan sebagai upaya dalam menanggulangi penyebaran malaria, salah satunya dengan memberikan pelatihan pada kader malaria. Suku Anak Dalam menjadi salah satu suku yang mendapatkan pelatihan pengetahuan mengenai bahaya malaria. Pelatihan dilakukan untuk meningkatkan pengetahuan suku anak dalam mengenai malaria melalui kader malaria setempat. Kegiatan ini dilakukan dengan metode pendekatan manajemen proyek. Peserta yang mengikuti kegiatan yaitu kader kesehatan dan dilaksanakan pada tanggal 20 Juni 2022 di Puskesmas Muara Rupit dari jam 08.00- 12.30 WIB. Pelatihan kader dilaksanakan karna Suku Anak Dalam yang hidup berpindah-pindah serta lingkungan rumah yang rentan terhadap penularan malaria. Kegiatan dilakukan melalui 5 tahapan, yaitu tahap inisiasi kegiatan, tahap perencanaan, tahap implementasi, tahap monitoring dan supervisi, serta tahap evaluasi dan pelaporan. Inisiasi dimulai dengan melakukan analisis terhadap permasalahan yang terjadi. Perencanaan dilakukan dengan penetapan tim kerja dan koordinasi terkait pelaksanaan kegiatan. Pelatihan dilaksanakan dengan metode ceramah oleh beberapa narasumber dari Dinas Kesehatan Provinsi Sumatera Selatan. Monitoring dan evaluasi dilakukan agar kegiatan berjalan dengan lancar. Pelaporan dilakukan setelah semua kegiatan selesai dilaksanakan. Berdasarkan hasil kegiatan, ditemukan beberapa kendala yang dapat menghambat kegiatan namun kader kesehatan telah mengikuti pelatihan dengan baik, diharapkan dapat meningkatkan upaya kader malaria dalam mempromosikan cara mencegahan penyebaran malaria. Selain itu, diharapkan kepada tim kerja untuk dapat memperbaiki sarana dan prasarana guna kelancaran proses penyuluhan serta membuat leaflet yang dapat lebih dipahami oleh berbagai kalangan.
AI-Enhanced Risk Assessment in Physical Security Projects: An Applied Study to Improve Security Project Management
Authors: Ahmed Karim
Year: 2024

The study aims to investigate how AI methods can be used to improve risk assessment in the field of physical security. A quantitative approach was applied in this study, where data was collected from 160 individuals working in this sector, and their responses were processed and evaluated using modern statistical analysis techniques. The results showed that AI-enhanced risk assessment plays a crucial role in reducing human errors, as AI contributes to eliminating biases and shortcomings caused by human factors, which enhances the accuracy of predictions and the effectiveness of decisions taken in the context of risk management. The results revealed that AI increases the response of security teams to risks, by providing a comprehensive and in-depth analysis that enables them to take quick and intelligent measures based on actual facts, which enhances the efficiency of security operations. It has also been proven that the application of AI contributes to the development of security sustainability, as it enables continuous analysis and adjustment of security methods to suit changing threats. The study emphasizes the need to integrate AI into risk management strategies, which enhances the ability of organizations to successfully solve security problems and enhances long-term sustainability. The results highlight the need to enhance training and development for workers in this sector to ensure the best use of contemporary technology, which contributes to increasing the effectiveness and sustainability of physical security.
Risk identification and project health prediction in IT service management
Authors: Gerald Abbott; Nikos Anerousis; Forrest Gordon; Allen Grussing; S. Makogon; P. Manore; Fiona Humphries; Joan Sherry; S. Tao
Year: 2010

In this paper, we introduced ■ The lifecycle of IT service project management ■ The challenge of maintaining the health of strategic outsourcing projects ■ A framework and methodology to continuously probe and assess risks for ongoing projects ■ A predictive model built upon the training data collected from such probes and past project review data that can successfully predict the health status of ongoing projects
A Comparative Analysis of Polynomial-fit-SMOTE Variations with Tree-Based Classifiers on Software Defect Prediction
Authors: Wildan Nur Hidayatullah; Rudy Herteno; M. Reza Faisal; Radityo Adi Nugroho; Setyo Wahyu Saputro; Zarif Bin Akhtar
Year: 2024

Software defects present a significant challenge to the reliability of software systems, often resulting in substantial economic losses. This study examines the efficacy of polynomial-fit SMOTE (pf-SMOTE) variants in combination with tree-based classifiers for software defect prediction, utilising the NASA Metrics Data Program (MDP) dataset. The research methodology involves partitioning the dataset into training and test subsets, applying pf-SMOTE oversampling, and evaluating classification performance using Decision Trees, Random Forests, and Extra Trees. Findings indicate that the combination of pf-SMOTE-star oversampling with Extra Tree classification achieves the highest average accuracy (90.91%) and AUC (95.67%) across 12 NASA MDP datasets. This demonstrates the potential of pf-SMOTE variants to enhance classification effectiveness. However, it is important to note that caution is warranted regarding potential biases introduced by synthetic data. These findings represent a significant advancement over previous research endeavors, underscoring the critical role of meticulous algorithm selection and dataset characteristics in optimizing classification outcomes. Noteworthy implications include advancements in software reliability and decision support for software project management. Future research may delve into synergies between pf-SMOTE variants and alternative classification methods, as well as explore the integration of hyperparameter tuning to further refine classification performance.
Using discrete Differential Evolution and entropy to solve the MRCPSP
Authors: A. Chen; Yun-Chia Liang; Jose David Padilla
Year: 2017

Up to date, there is no standard guideline to generate schedules capable of withstanding the inherent uncertainty of projects. Moreover, even though the research in scheduling and resource allocation in project management is vast, the practice differs significantly. This study aims to deliver a stable, efficient and practical methodology capable of generating robust baseline schedules. To achieve this, the authors use a discrete version of Differential Evolution within a previously proposed and tested framework and the results improve significantly when compared to it.