derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Evaluating Gant Project, Orange Scrum, and ProjeQtOr Open Source Project Management Tools using QSOS
Authors: Catarina Proença; Jorge Bernardino
Year: 2019

The task of managing a software project is an extremely complex job, drawing on many personal, team, and organizational resources. We realized that exist many project management tools and software being developed every day to help managers to automate the administration of individual projects or groups of projects during their life-cycle. Therefore, it is important to identify the software functionalities and compare them to the intended requirements of the company, to select which software complements the expectations. This paper presents a comparison between three of the most popular open source project management tools: Gantt Project, OrangeScrum, ProjeQtOr. To assess these project management tools is used the Qualification and Selection Open Source (QSOS) methodology.
Impact of Outcome-Based Education (OBE) on Learners' Performance in Business Courses
Authors: Gopal Chandra Saha; S. Akber; Ashutosh Roy
Year: 2023

Purpose: The study aims to introduce a new format of education called outcome-based education (OBE), its importance, and its impact on learners' performance in business courses.
 
Theoretical framework: Outcome-based education (OBE) ensures that new learners enter the classroom exceptionally prepared with the skills, mindsets, and values required to grow into successful adults after they leave the educational system. Outcome-based education (OBE) is a teaching approach that concentrates on how novices will perform in the future and how to use knowledge to accomplish objectives after instruction.
 
Methodology: The qualitative method was chosen as the content is theoretical, for outcome-based education has been compared with conventional education. This study begins by tracing the evolution of outcome-based education (OBE) and introducing crucial implementation criteria. Following the discussion of impacts, it is covered how the concept of repercussions necessitates a paradigm shift in evaluation and evaluation methodologies. The study then goes through the crucial effects of implementing the exercise and methods for rating and evaluating learners' success in business school. These repercussions are closely related to discussing the four critical philosophies of outcome-based education (OBE). Based on that, results are drawn.
 
Results and conclusion: It is confirmed that OBE develops a learner's Fundamental knowledge, problem-solving skills, research skills, technical skills, social skills, ethical values, communication skills, project management skills, and life-long skills that have a significant impact on one's career.
 
Originality/Value: Outcome-based education (OBE), which directs learners in building their professional careers and increases their knowledge and creativity, is the newest education trend. In the context of their workplace, OBE might support their healthy development. The National Board of Accreditation (NBA) requires the application of the appropriate evaluation strategies for learners to acquire the skills indicated for outcome-based education. Outcome-based education (OBE) is attractive because it can improve coaching, the educational system, and learners' performance, which primarily rely on evaluating graduates' skills. Through this process, the learner will learn how to bridge the gap between tutoring and results-based mastering techniques. No one in South Asia didn't undertake any research on the subject; as a result, the fresh information would help to enhance management, encourage innovation, and boost performance.
 
Contribution: The suggested methodological model, one of the most fundamental advances in business education, would improve scientific capabilities in the training process at the business school and permit a widespread incidence in the academic environment.
[Implementation of multidisciplinary clinical pathways in a highly complex health institution].
Authors: Pamela Chávez Barrientos; Cristian Menajovsky Haas; Luis Arriagada Beyzaga
Year: 2020

Clinical pathways or structured multidisciplinary care plans are a tool to standardize clinical practice. The aim of this article is to describe and propose a methodology for the development of clinical pathways in a highly complex health institution. We used the guidelines of the European Quality of Care Pathway, which are based on a 4-stage model: definition and diagnosis, development, implementation and continuity. To make this process operational, we incorporated the project management methodology (PMO). The implemented methodology contemplates the generation of an institutional governance structure responsible for the coordination of the project and the prioritization of the clinical processes to be standardized. The implementation of each clinical pathway was carried out in four steps, namely team generation, development, planning and implementation, and continuous improvement. With this methodology, 23 clinical pathways were developed between 2014 and 2018. Their implementation significantly reduced hospitalization days and their variability, optimized the use of resources and standardized clinical records. The standardization of clinical processes allowed the development of new skills such as the generation of clinical projects, an institutional methodology for managing change and sustainability through cycles of continuous improvement.
Project Management Using the Scrum Agile Method: A Case Study within a Small Enterprise
Authors: Breno Lisi Romano; Alan Delgado da Silva
Year: 2015

This paper tackles the use of the Scrum agile method within a Brazilian small business enterprise. It provides monitoring activities for software project management. It involves the use of human, financial, and temporal resources during a project development, increasing the rate of its successful deliveries. In order to enable the Scrum adoption, the following four distinct steps were defined: infrastructure set up, team training, Scrum agile deployment, and deployment refinement. An analysis of its main results was obtained from the application of a survey to all project stakeholders. The major improvements were identified since the first sprints, mainly involving communication, team motivation, and adaptation agility, during the chosen case study within a small enterprise.
A pilot project on non-conventional learning
Authors: Sara Fernandes; A. Cerone; L. Barbosa
Year: 2013

This poster presents a pilot project on non-conventional learning strategies based on students? active participation in real-life FLOSS projects. The aim of the project is to validate the hypothesis that the peer-production model, which underlies most FLOSS projects, can enhance the learning-teaching process based on extensive and systematic collaborative practices.
 Consisting of a semester-long experiment with a class of 23 Master Information and Technology (MSc IT) students, organized in small groups, this pilot project aims at exploiting FLOSS communities and the respective FLOSS projects as learning opportunities. This pilot project is part of a course assignment on Teaching Software Engineering in the Master in Informatics taking place during the spring semester of 2013, at the University of Minho, in Portugal. The students participate in real FLOSS projects by choosing one of the following roles: 1) requirement analyst, writing software requirements; 2) programmer, developing source code; or 3) tester, writing bug reports.
 As a real-life experience conducted with students in Portugal, the project enables the systematic study of the dynamics of peer-to-peer learning and assessment of the didactic value and potential of this kind of non-standard learning experiences. Moreover, as a beneficial side effect, students have the opportunity to experience full immersion in a real FLOSS community and learn about project management and organized participation.
An evidence-based software engineering evaluation approach
Authors: S. Salehghaffari; S. Reddivari
Year: 2011

Evaluation of software project management is a crucial for software development organizations. However, the process of software project management is burdened, among other reasons, by various sources of uncertainty due to the lack of information for objectives of evaluation, differences in knowledge and experience of participating experts, fuzzy reviews of experts. A step-by-step algorithm for uncertainty reasoning of software project management using mathematical tools of evidence theory is presented. It is shown that the presented evidential uncertainty reasoning is very efficient for evaluating the successful level of software project management and is helpful for software development organizations to improve management.
A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties
Authors: R. Chakrabortty; A. Abbasi; M. Ryan
Year: 2022

This article investigates the impacts of uncertainties in duration and resource availability and usage on project time and cost. This is done by modeling different scenarios as relevant resource-constrained project scheduling problems. The aim is to develop a scheduling risk assessment framework (SRAF) to model uncertainties in duration and resources and to observe their impact on project objectives (i.e., completion time and cost). This framework provides appropriate information for managers and decision makers and facilitates project planning (scheduling and budgeting) by incorporating uncertainties and risks. To visualize the risk, this article uses an extended version of the integrated definition standard as the example business process. To demonstrate the applicability of the proposed SRAF under varied dynamic conditions, we have considered and solved a practical case study using a self-developed heuristic approach, titled enhanced move-based local search heuristic. The computational results and useful insights open an avenue for future research in the field of project management, which will provide some important propositions or guidelines for project management practitioners.
Operation-based conflict detection and resolution
Authors: Maximilian Koegel; Jonas Helming; Stephan Seyboth
Year: 2009

Models are in wide-spread use in the software development lifecycle and model-driven development even promotes them from an abstraction of the system to the description the system is generated from. Therefore it is increasingly important to collaborate on models. These models can range from requirements models over UML models to project management models such as schedules. Tool support for collaboration on models is therefore crucial. Traditionally Software Configuration Management (SCM) systems such as RCS [9] or Subversion [10] have supported this task for textual artifacts such as source code on the granularity of files and textual lines. They do not work well for graph-like models with many links since the granularity needed to support them is on the level of model elements and their attributes. For the design of a novel SCM system addressing these requirements it is essential to define how conflicts on models are detected and how they can be resolved. In this paper we present an approach to conflict detection and resolution on models. We employ operation-based change tracking and therefore detect conflicts based on operations. For conflict resolution we propose an integration of SCM with techniques from Rational Management to effectively resolve conflicts.
Influence of Public Participation on Implementation of County Government Projects: Case of Makueni County, Kenya
Authors: Alfred Katumo; Mary Odenyo
Year: 2024

Projects are the foundation of local development in any nation that is developing. Despite the significance of county government projects to society, the majority of these initiatives have delayed, failed, or otherwise fallen short of their goals. The study aimed at assessing the influence of public participation on implementation of county government projects: case of Makueni County, Kenya. The study was guided by following specific objectives; to determine the influence of public participation in project identification process, budget preparation process, governance process and monitoring and evaluation process on implementation of Makueni county projects. A descriptive research design was used for this study. There were 330 project personnel working on projects throughout all Makueni County constituencies and this formed the study population. Thus, the target population was the project committee members, executive project management consultant members and technical officers involved in implementation of the projects for the last at least three years at Makueni sub-counties. Using a stratified random sampling procedure, 99 respondents (30% of the population) were chosen from the target population. The study used primary methods in data collection using questionnaires. Content analysis method was used to examine the qualitative data from the open-ended questions. The statistical package for social sciences (SPSS) version 22 was used to interpret the quantitative data from the closed-ended questions. Descriptive statistics, such as frequencies, percentages, standard deviation, and arithmetic mean, were used to examine the results. Inferential analysis was used in determination of the relationship between the variables. The results of the analysis were subsequently shown in charts and tables. The coefficient results show results that budget preparation process and governance process have a significant positive influence on project implementation, with standardized coefficients of 0.555 and 0.761, respectively. Meanwhile, monitoring and evaluation has a significant negative influence on project implementation with a standardized coefficient of -0.479. Project identification pross, on the other hand, does not have a statistically significant impact on project implementation.
Research on Intelligent Application of Construction Project Management Method in the New Era
Authors: Tiezheng Li; Xiangwei Bai
Year: 2024

Intelligence has penetrated all walks of life with the rapid development of information technology. In the field of construction management, the application of intelligent technology is also increasingly extensive. Intelligent management methods can not only improve the efficiency and quality of construction projects but also reduce costs and waste of resources. This paper focuses on the intelligent application of construction project management methods in the new era. By analyzing the problems existing in the current construction management, the application of intelligent technology in every link of project management is expounded, including construction site management, material and equipment management, schedule control, quality supervision, and so on. At the same time, the paper also puts forward relevant suggestions on the popularization and application of intelligent management methods, which provides a reference for the innovative development of construction project management.
An Exploratory Study of the Key Skills for Entry-Level ERP Employees
Authors: A. Peslak; Todd A. Boyle
Year: 2010

This research identifies the key skills e.g., business, team, communication that industries expect for entry level positions involving enterprise resource planning ERP systems. Based on a review of the literature, a number of possible core skills that ERP entry level employees should possess are identified. To identify the relative importance of these specific skills, a web-based survey involving IT professionals from 105 organizations is conducted. Analyzing the findings using exploratory factor analysis and scale reliability analysis indicates four specific and significant factors representing the major key skills that industry expects from entry level ERP positions labeled for this study such as systems analysis and integration, team skills, project management, and business and application understanding. Various common technical skills e.g., programming, networks were found to be significantly less important than the business and team skills. This study should assist companies in developing criteria for evaluating potential candidates for entry level positions in ERP systems, as well as universities for evaluating the relevancy of their IT and Business programs.
An Inspection of the Life Cycle of Sustainable Construction Projects: Towards a Biomimicry-Based Road Map Integrating Circular Economy
Authors: Kimberly Beermann; M. Chen Austin
Year: 2021

According to the National Energy Plan in Panama, the construction sector is one of the most prosperous and impactful sectors in the economy and it is expected to expand due to population growth by almost 300% by 2050. However, this sector must work on the transition towards sustainability and resilience in the face of climate change, since its growth implies a high consumption of resources and the contribution of greenhouse gases. The need to establish practices and strategies that embrace the dimension of sustainability and a circular economy is imminent. Currently, there is little guidance in the reference framework beyond certifications in planning, management and evaluation tools for its implementation. Different studies vary in the number of phases and considerations for projects. Therefore, the present work proposes the development of a unified road map, with defined phases, practices and indicators based on principles inspired by nature, such as biomimicry (Greek words: “bio” means life and “mimesis”, imitation), and focuses on a circular economy, validated by construction professionals, where strengths, opportunities, skills and threats are identified with a high level of acceptance. This contributes to strengthening the field of sustainable construction project management and a precedent for Panama.
Evaluating Machine Learning Models for Predict Cost Overruns in Petrochemical Projects
Authors: Mohammad Mohseni; Ernawati Mustafa Kamal
Year: 2025

Predictive analytics are important in managing cost overrun classification in petrochemical projects. Accurate prediction models are essential for effective project management, allowing informed decision-making and risk mitigation. This paper comprehensively evaluates five machine learning classification models (RF, DT, NB, SVM, and ANN) to predict cost overruns in petrochemical projects. The models were assessed using Test/Train split and K-fold cross-validation methods, focusing on key metrics such as Precision (PR), Recall (RC), F1-Score(F1), and Accuracy (ACC). Naive Bayes demonstrated superior performance in the Test/Train split evaluation, achieving up to 76% accuracy, particularly in the 25/75 splits. It consistently balanced PR and RC, making it the most reliable model for unseen data. In contrast, the Decision Tree model excelled in the K-fold cross-validation, reaching 96% accuracy and a 0.95 F1 at K-fold = 10, proving its effectiveness across diverse datasets. Overall, Naive Bayes emerged as the best Test/Train split evaluation model, while Decision Tree was the top performer in K-fold cross-validation. Both models are strong candidates for predicting cost overruns in petrochemical projects in Iran.
Adapted Method of Project Management for Digitalization of Innovative Activity of Enterprises
Authors: О.Н. Киселева; А.В. Васина; О.В. Сысоева
Year: 2021

Эффективная инновационная деятельность предприятий основывается на применении современных цифровых технологий, обеспечивающих высокую результативность осуществляемых изменений. Как показывает практика, одним из наиболее эффективных инструментов перехода инновационных процессов «на цифру» является технология проектного управления. На основе анализа существующих проектных подходов, выявления их преимуществ и недостатков, скорректированных с учетом российских реалий, в статье предложен адаптированный подход, реализация которого позволит повысить эффективность конечных результатов инновационных преобразований.
 Effective innovative activity of enterprises is based on the use of modern digital technologies that ensure high efficiency of changes. As practice shows, one of the most effective tools for the transition to digital innovation processes is the technology of project management. The existing project approaches are analyzed, their advantages and disadvantages are identified, taking into account the Russian specifics. An adapted approach is proposed, the implementation of which will increase the efficiency of the final results of innovative transformations.
Factors that influence the application of the concept of new green areas in residential areas using structural equation modeling-part least square (sem-pls
Authors: Nur Amalia; A. Husin; Ferdiansyah Ibnu Prastowo
Year: 2023

Climate change and global warming or environmental damage and degradation have led to various natural disasters, social disasters and serious economic disasters. Global warming has increasingly affected not only our daily lives but also our business activities. Housing and settlements are one of the basic human needs that must be met to be able to live decently. However, human life and its business activities have not paid enough attention to environmental issues. Excessive exploitation of non-renewable energy beyond normal limits is also damaging to the environment.  The application of the new green  area concept is a consequence of the  increase in the cost of green areas  incurred by stakeholders so  that residential areas  become environmentally friendly, the concept of  new green areas, Value Engineering (VE), Life Cycle Cost Analysis (LCCA) are  the main factors  that influence the improvement of cost performance of implementing the concept    new green  areas in residential areas in Indonesia, using structural equation model- partial least square (SEM-PLS) analysis. This research has an update related to the concept of applying new green areas  to residential areas in Indonesia.  The results of this study obtained "10 factors that affect the cost performance of new green areas  in residential areas", namely Project Management, Infrastructure and Facilities Burdens, Infrastructure and Facilities Service Functions, Microclimate and Ecosystem Preservation, Environmentally Friendly Materials, Development, Cost Breakdown Structure, LCC Analysis, Evaluation, Value Engineering.
Climbing the Ladder: CMMI Level 3
Authors: Bryce Day; Sean Chin Ke-Zun; Levi Lovelock; C. Lutteroth
Year: 2009

This report details the attempt to form a complete workflow model for an ICT company in order to achieve a Capability Maturity Model Integration (CMMI) maturity rating of three. During this project, business processes across the company’s core and auxiliary sectors were documented and extended using modern enterprise modeling tools and a The Open Group Architectural Framework (TOGAF) methodology. Different challenges were encountered with regard to process customization and tool support for enterprise modeling. In particular, there were problems with the reuse of process models, the integration of different project management methodologies and the integration of the Rational Unified Process (RUP) development process framework that had to be solved. We report on these challenges and point out research directions that could help to improve the situation in the future.