derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Development of a practical toolkit using participatory action research to address health inequalities through NGOs in the UK: Challenges and lessons learned
Authors: B. Chirewa
Year: 2012

This study aimed to develop a practical toolkit to support non-government organizations (NGOs) in tackling health inequalities in the UK and to highlight the challenges and lessons learned. A mixed qualitative methodology within an action research framework was conducted. Semi-structured questionnaires, focus group interviews and discussions with an expert reference group aimed to identify the important themes and produce the toolkit content. A practical guide of information materials for NGOs working on addressing health inequalities was subsequently developed and successfully piloted. The experience of using participatory action research revealed a number of lessons and challenges. The key challenges were lack of training and experience in conducting action research, costs and insufficient resources, slow and time-consuming process, lack of commitment from marginalized groups, and differences in emphasis of goals and vision among participants. The main lessons learned were importance of effective leadership and project management skills, importance of integrating researchers and the researched as equal partners, creation and nurturing of trust, importance of evaluating and piloting processes, importance of engaging with marginalized groups, and use of evidence base in decision making. The lessons and challenges enumerating herein are of value to researchers aiming to implement participatory action research in developing checklists, tools, practical guidance and frameworks, and they offer important areas to consider before starting such projects. In addition, this offers an insight into how the dynamics of participatory action research methodology evolved in the development of the toolkit. Future research and initiatives in this area should focus on ways to improve the toolkit and make it more relevant to a wider community, and methods for evaluating the impact of the toolkit on practice.
Prototype model of wireless maintenance operation system for bridge facility using VR and ubiquitous technology
Authors: H. Moon; Hyeon-seong Kim; So-young Moon; Hyeun-wook Kim; Leen-Seok Kang
Year: 2012

Building information modeling (BIM) is a representative IT tool for construction project management. BIM includes virtual reality (VR) and augmented reality (AR) simulations for construction object. Specially, VR is a useful tool for visualizing construction process to check a design error or construction error in virtual space before real construction. This study suggests a framework to use a wireless maintenance method for a bridge facility using VR, RFID and ubiquitous tools. Due to the issues such as omission of data, document based management, maintenance based on measurement data and wire-based network, it is difficult for the existing maintenance system of bridges to act to diverse characteristics of site and environmental changes in real time. With these reasons, there are many constraints in establishing active maintenance strategies for bridge facility. To solve these issues, this study suggests an integrated maintenance model for a bridge facility based on VR and ubiquitous technology to build a smart maintenance operation system. It is expected that the suggested model will be utilized as a framework model in order to build a smart maintenance operation system from collection of maintenance data to visualization of them for bridge facility.
Optimization of enterprise production programs taken into account of uncertainty
Authors: I. А. Borisov; O. Kosorukov; A. V. Mishchenko; V. I. Tsurkov
Year: 2024

The branch and bound method used to select the optimal production program is considered, based on the calculation of the upper, lower and current upper estimates when analyzing various options for production programs. An upper bound for the number of feasible solutions to the problem under consideration is given. Models for choosing an optimal production program in conditions of production expansion are considered, as well as issues of analyzing the stability of these programs when changing the initial data of the model and when changing the criterion for the optimality of the model. The use of models for selecting the optimal production program within the framework of project management at enterprises will ensure increased efficiency of activities, including at the stages of planning and implementation of projects, classification and selection of a method for implementing projects.
Man-Hour Estimation Model Development in BIM-Based Projects with Machine Learning-Regression Algorithms
Authors: Nevşat İrem Yurttakal
Year: 2023

Construction management is a service that uses project management techniques to planning, design and construction of a project. Another branch of construction management is the planning made during the bidding stages before the construction starts. At this stage, the scheduling of the work, mobilization and most importantly the project design and drawing time should be analyzed and accurate estimates should be made. For this estimation, the experience of the bidding organization is the biggest reference. Construction management techniques in a BIM-based project are challengeable. The biggest reason is that knowledge about BIM is much less than the others and still a developing system. Therefore, the margin of error in the estimated project duration to be predicted in the bids to be made for such projects increases. Considering that man-hour estimations are financially very important for the company. This study is aimed to make observations with advanced technologies which is applied ML algorithms and analysis methods for man-hour estimations in BIM projects at the bidding stage. The project information to perform a man-hour analysis of completed construction projects was requested from offices that have gained experience in BIM projects. The project information of 16 projects were tabulated. The collected information was converted into a data set and transferred into regression analysis algorithms using Python format. Data set, which was turned into a matrix, was analysed and the consistency of the parameters in data set was tested. Spent man-hour estimation was made, graphed over parameters with simple and multiple linear regression algorithms. 
Keywords:   Building Information Modelling (BIM), construction management, bidding, project management, Artificial Intelligence (AI), machine learning, regression analysis
Enhancing Agile Software Development: A Novel Approach to Automated Requirements Prioritization
Authors: Rahat Izhar; Kenneth Cosh; Shahid Nazir Bhatti
Year: 2024

In Agile Software Development (ASD), accurately comprehending and prioritizing project requirements is crucial for aligning project results with stakeholder expectations and achieving success. The “Rule-Based Automated Requirements Prioritization” (RAR-P) paradigm is novel in using Natural Language Processing (NLP) and Machine Learning (ML) to improve requirements prioritization (RP). The RAR-P model uses advanced text preprocessing, tokenization, TF - ID F vectorization, cosine similarity measures, log likelihood calculations, and K-Means clustering to systematically analyze and priorities user requirements based on their semantic importance. This innovative approach surpasses the constraints of conventional prioritization methods by automating the decision-making process, guaranteeing a more profound and impartial alignment of project outcomes with the subtle requirements of stakeholders. This article explores the creation and use of the RAR- P model, demonstrating its ability to greatly improve the efficiency and efficacy of requirement prioritization in ASD. The RAR-P model has been identified as a crucial tool for transforming software development projects, offering the potential for improved success rates and more efficient resource allocation in project management. This study introduces an innovative solution to a persistent problem and also creates opportunities for future developments in agile project management approaches.
Strategic Alignment of Emotional Intelligence with Project Management: A Framework for Enhancing Project Success and Team Performance
Authors: Nelsen A. Rahul
Year: 2024

This research explores the strategic integration of emotional intelligence (EI) within project management practices to enhance project success and team performance. Recognizing the pivotal role of EI in interpersonal dynamics and leadership effectiveness, this study proposes a comprehensive framework for aligning EI competencies with project management strategies. Through a synthesis of theoretical insights and empirical evidence, the framework aims to provide project managers with actionable guidance to leverage EI in optimizing team collaboration, conflict resolution, and stakeholder engagement. This research advances theoretical understanding and practical application by elucidating the nuanced interplay between EI and project management processes. Ultimately, the proposed framework offers a roadmap for fostering a project environment conducive to achieving organizational objectives.
Games and Gamification in Software Engineering Education: A Survey with Educators
Authors: Pedro Rodrigues; M. Souza; Eduardo Figueiredo
Year: 2018

The use of games and game elements in software engineering education is not new. In fact, their use in Software Engineering education is found in research papers since 1974, with a notorious increase after 2000. However, there is little information about the actual adoption of these approaches in software engineering education. Therefore, the goal of this paper is to investigate the use of games and game elements in software engineering education, in the perspective of educators. To achieve this goal, this study proposes and analyzes the results of a survey answered by 88 software engineering professors. We sample the participants by inviting 285 educators mined from one hundred well-stablished universities and educational institutions of different regions of Brazil. The goal of the survey is (i) to collect information about the use of games and gamification in classrooms and (ii) to understand the relation of ACM/IEEE knowledge areas and the used game-related methods. The results show that most of the professors are aware of these educational approaches, the games were adopted by only 21 participants and game elements were only adopted by 19 participants. Games are most used to cover “Software Process” and “Project Management”. The most used game elements are Points, Quizzes, and Challenges. The results also show that the main reasons for not adopting the resources are the lack of knowledge, lack of information about relevant games for teaching software engineering, and the lack of time to plan and include these approaches in the classroom. Finally, results show a positive tendency towards the future adoption of these game-related approaches by the software engineering professors.
The Royal Flying Doctor Service Flies to New Heights: The Journey of Health Information Management
Authors: J. Wilkins
Year: 2009

The Royal Flying Doctor Service (RFDS) of Australia was founded in 1928 by the Reverend John Flynn to deliver health services to the people of the Australian Outback. In this unique environment the RFDS Queensland Section provides both Primary Health Care and Aeromedical services to rural and remote communities throughout Queensland. It provides health services from a hub and spoke model and its clinicians work very closely with other health service providers, such as Queensland Heath, within the communities it visits. Currently, the RFDS' health records are both paper and electronic and clinicians duplicate much of patient information and data between RFDS and non-RFDS health records. Introduction of an off-the-shelf electronic medical record (EMR) would not meet the RFDS' clinical and organisational needs because of complexity, the multidisciplinary nature of the teams and the lack of communication technology in the communities the RFDS visits. This article defines the vision for a health information system designed to meet the requirements of the RFDS, and describes its implementation throughout RFDS Queensland using the PRINCE2 project management methodology.
Penerapan Lean Construction menggunakan Root Cause Analysis dan Metode Borda dalam mengidentifikasi Waste Non-Value Added Activity (Studi Kasus: Proyek Pembangunan Bendungan Jragung Paket I PT Waskita Karya)
Authors: Tri Okto Pamungkas; M. Rifai; Koosdaryani Soeryodarundino
Year: 2024

Proyek konstruksi sering mengalami kendala karena tenaga kerja yang tidak produktif, perencanaan proyek yang buruk, anggaran yang membengkak, dan spesifikasi yang tidak sesuai. Kerugian berbagai sumber daya, yaitu material, waktu, modal yang diakibatkan oleh kegiatan-kegiatan yang membutuhkan biaya secara langsung maupun tidak langsung tetapi tidak menambah nilai kepada produk akhir dapat didefinisikan sebagai waste. Perlu dilakukan kegiatan untuk mengurangi atau menghilangkan waste, sehingga pekerjaan menjadi lebih efisien. Lean Construction adalah pendekatan inovatif terhadap manajemen proyek yang menggabungkan ide, prinsip, dan metode untuk meningkatkan produktivitas konstruksi. Tujuan dari penelitian ini adalah mengetahui variabel dan faktor waste berupa non-value added activity yang sering terjadi pada Proyek Pembangunan Bendungan Jragung Paket I PT Waskita Karya Kabupaten Semarang dan menganalisisnya menggunakan metode Borda. Setelah dilakukan analisis, didapatkan variabel waste yang paling dominan adalah variabel money dengan faktor terjadi kesalahan saat perhitungan RAB yang disebabkan oleh beberapa permasalahan, kemudian dianalisis menggunakan RCA (root cause analysis) yaitu data yang digunakan untuk perhitungan RAB tidak akurat, informasi yang tidak tepat atau kurang lengkap untuk mengisi kelengkapan data RAB sehingga menjadi kurang spesifik, ketidakcermatan dalam mencatat detail saat mengumpulkan data tentang pelaksanaan proyek, ketidakpastian regulasi yang terjadi di dalam proyek sehingga estimasi menjadi tidak konsisten, dan perubahan lingkungan proyek seperti perubahan kondisi harga material yang dapat memengaruhi estimasi.
Net Present Value (NPV) as a tool supporting effective project management
Authors: Werner Wetekamp
Year: 2011

The aim of this paper is to present how Net Present Value (NPV) can be used as a proper tool to ensure effective project management. The author proves that investment project's appraisal methods, such as e.g. NPV, can and should be used as an ongoing monitor of project health. What is more, even in case of project turbulences Net Present Value can be used as a key instrument for finding the most appropriate solutions.
Industry 4.0: Reality, Future or just Science Fiction? How to Convince Today's Management to Invest in Tomorrow's Future! Successful Strategies for Industry 4.0 and Manufacturing IT.
Authors: Stephan Gentner
Year: 2016

Manufacturing IT and Industry 4.0 is the Fourth Industrial Revolution with a potential of 12 bn Euros in Germany's chemicals industry. But Switzerland is currently the best prepared of all countries in Europe. Many of the ideas are still very vague. This article discusses how to identify what is already reality, which ideas might become reality in the future and which ideas will stay science fiction. As projects in Manufacturing IT and Industry 4.0 are different from classical technical projects other strategies, for example agile project management, are necessary to secure success.
Sustainable stakeholder participation planning on the basis of analysis of competing project interest
Authors: Chandhini Sivalingam; Raju Ramaswamy
Year: 2024

Sustainability has become more than just an aspiration in business. It has become an integral part of business strategy and decision‐making. Organizations have realized that adhering to sustainability with its impact on multi‐facets can drive business success. Long‐term growth requires an understanding of the relationships between people and their surroundings. Engagement of stakeholders is essential for planning, designing, implementing, and ensuring the efficacy of programmes. Due to the requirement for sustainability and the engagement of a greater stakeholder range in project planning, the project plan complexity is growing. The lack of or insufficient engagement of stakeholders throughout the project life cycle, particularly in the early phases of implementation and planning, frequently has a detrimental effect on the intended project performance. Effective stakeholder engagement is essential to counterbalance the combined effects of a lack of contextual knowledge by stakeholders and a lack of support in the field. However, this integration encounters difficulties such as resource restrictions and competing stakeholder interests. To encourage stakeholder engagement with the initiatives, project resources may be allocated based on the relative importance of competing areas. This study intends to establish a Stakeholder Engagement Framework (SEF) to increase the effectiveness of stakeholder engagement in projects by systematically evaluating potential conflicts and integrating the perspectives of stakeholders and the project management team. To do this, we use fuzzy logic inputs to account for ambiguities throughout the project life cycle, as well as stakeholder theory, value‐based management, matrix‐based dependency modeling, and total quality management to provide a framework for stakeholder participation. Then we implement the suggested SEF methodology to organize stakeholder participation for a green building project. The suggested framework will promote stakeholder participation under long‐term goals for project managers by identifying potential conflicts of interest.
Analisa Implementasi Manajemen Proyek pada Pengembangan Karung Goni Menjadi Tas yang Bermanfaat
Authors: Davin Ewaldo; M. Setiawan; Viviana Angesty; Ronny Firdiansya
Year: 2023

TasGon is a product made from jute sack waste which is then processed into a useful product. In this project the burlap sack is processed into a bag called TasGon. This TasGon has many benefits, namely it can reduce the waste of burlap sacks that are wasted everywhere. In this study the authors used qualitative and descriptive research methods. This research is continued by analyzing project management, namely Project Integration, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resource Management, Project Communication Management, Project Risk Management, Project Procurement Management, Project Stakeholder Management. The results of this study indicate that TasGoni has many benefits that can be felt by many people. Therefore the project undertaken must be in accordance with the quality of the product produced. 
Keywords: Project Management, Gunny Sack, Waste
Analytics for Software Project Management -- Where are We and Where do We Go?
Authors: Maleknaz Nayebi; G. Ruhe; Roberta Cabral Mota; Mujeeb Mufti
Year: 2015

Software project management is a decision intensive process. Success or failure of the project is highly dependent on these decisions. Analytical techniques and tools can support project managers throughout the software project life cycle by increasing the predictability and chance of success in these projects. In this paper, we report the results of a systematic mapping study within which we investigate the usage of different types of analytics for software project management. We analyze the accessibility of the data as well as the degree of validation reported in the 115 studies selected for final analysis. This resulted in a picture of the status quo (Where are we?) of analytics in software project management. From comparing this status quo with the results of an industrial survey on the industrial needs of different types of analysis, we propose an agenda on future work (Where do we go?).
Multi-Objective Optimization in Construction Project Management Based on NSGA-III: Pareto Front Development and Decision-Making
Authors: Zhengjie Zhan; Yan Hu; Pan Xia; Junzhi Ding
Year: 2024

With the continuous improvement of construction management standards, thorough investigation into various management objectives becomes crucial. To address the current gaps in project management concerning time, cost, safety, and carbon emissions interrelationships, this study adopts the multi-objective optimization (MOP) theory and makes the following contributions: (1) proposes an innovative carbon emission model, which enhances the cost model by incorporating carbon cost factors, and establishes a MOP model covering time–cost–safety–carbon emissions; (2) validates the effectiveness of the proposed model and the feasibility of algorithms through empirical research and algorithm comparison analysis—the research demonstrates that NSGA-III exhibits significant advantages in solving MOP problems of this scale; (3) applies the entropy-weighted VIKOR method to objectively analyze the solution set obtained by NSGA-III for optimal solution selection. This study provides practical management tools for project managers and offers significant insights for researchers in construction management regarding multi-objective problem-solving and algorithm selection.
Research on an Integrated Graphical Model-Based Method for Two- and Three-Dimensional Model Management in Railway Engineering
Authors: Qiang Gao; Wanqi Wang; Yalong Xie; Wenlong Lu; Wei Liu; Yang Sun
Year: 2023

In response to the numerous challenges present in the current management of railway engineering graphical information, including poor data collaboration among project stakeholders, low information flow, and insufficient correlation between 2D drawings and 3D models, this paper integrates the characteristics of abundant data volume and multidisciplinary aspects in railway engineering graphical information. Drawing upon theoretical foundations such as digital model separation, model lightweighting, and database languages, along with leveraging technologies such as Web Graphics Library (WebGL) - based 3D engines and specialized Engineering Breakdown Structure (EBS) encoding tailored to railway engineering, the paper presents an integrated approach for managing two- and three-dimensional models in railway engineering based on a unified graphical model. This approach is rooted in the use of Globally Unique Identifier (GUID) to tightly associate 2D drawings and 3D models, while also standardizing data formats and sharing protocols. As a result, it significantly enhances the efficiency of project management and collaboration within engineering construction projects, effectively breaking down data silos. The method has been successfully applied to a railway engineering project, offering a reliable and innovative solution for managing its information deliverables.