derhan/semantic-scholar-manajemen-proyek huggingface dataset:
A Study on How to Apply System Engineering to Technology Coorperation Production
Authors: Ki-Mok Kim; Minjeong Son
Year: 2023

This paper describes how to apply system engineering to technology cooperation production, which is one of the methods used in defense-capability improvement projects. Technical cooperation production is classified as a research and development project, and according to regulations, project management that applies system engineering principles must be implemented. However, a distinct system for cooperative technology production is required because the process and contents are different from a general system development project. This study defines standard procedures and characteristics of cooperative technology production and proposes system-engineering application plans that are suitable for these procedures. Five technical review meetings, such as system requirements/function review meetings, and six types of outputs including system subsystem specifications are presented. The rationale for each activity is also presented. It is expected that more systematic project management and requirement management can be performed by applying system engineering to technology cooperation production.
Nine Questions to Evaluate a Data Science Team’s Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study
Authors: J. Saltz
Year: 2022

While the lack of an effective team process is often noted as one of the key drivers for data science project inefficiencies and failures, there has been minimal research on how to evaluate a data science team’s process. Without an evaluation framework, it is difficult for data science teams to understand their team process strengths and weaknesses. To help address this challenge, this exploratory research, via a Delpha study, identified nine key questions a data science team could answer to help evaluate their process. In short, the study identified questions evaluating the team’s communication (within the team and with stakeholders). The study also identified team process questions (e.g., the use of iterations, life cycles and a prioritization process for potential tasks). Future research could explore how data science teams can best improve their process by leveraging and refining these questions as well as defining an overall data science project management evaluation framework.
The impact of using Artificial intelligence in projects management Decision-Making within private sector in the kingdom of Saudi Arabia
Authors: Mohamed Bakr; Omar Abu Farea; Abdulaziz Jadaa
Year: 2023

Artificial intelligence (AI) has already transformed the world and has made an effective impact in a range of fields. It has gained a wide interest to ground itself into business and commercial use and has transformative potential for private sector organizations through enabling increased productivity and novel ways to deliver different services. We have found out that in the private sector AI appears to be lagging, and the phenomena has really limited attention from academic research community. This paper outlines how AI technologies could help project managers to provide faster decision making in Project Management within the private sector. We were able to understand that most Project Managers had difficulties in applying AI in decision-making processes. Although, the majority perceive this technology as being useful and would use it for their daily tasks. Also, date was collected from different regions in KSA and primary research in which two of the biggest companies’ COs were interviewed and a survey was done by more than 100 persons including project managers and team leaders in which to give the conclusion that AI application improves data quality and integrity leading to improved speed and effectiveness of decision making within the private sector in the Kingdom of Saudi Arabia. Additionally, this research seeks to contribute to the growing body of knowledge on AI- driven project management decision-making within the private sector in Saudi Arabia. By examining the benefits, challenges, and potential risks associated with AI implementation.
Construction Workers’ Perception of Project Management, Work Environment, and Health & Safety
Authors: S. Wandahl; C. T. Pérez; S. Salling
Year: 2024


 The construction industry is labor-intensive, where project performance relies on a successful collaboration between construction workers between workers and managers. Hence, knowledge about workers’ job satisfaction is highly valuable for improving the efficiency of the construction industry. For that reason, a survey was conducted to understand construction workers’ perceptions of factors that influence job satisfaction. The questionnaire included 12 demographic questions and 27 questions. Data was collected in 2023, and almost 3400 workers answered the questionnaire. Several relevant insights surfaced during the data analysis. Among others, the more the workers are engaged and involved in planning, the higher the performance and job satisfaction. The more digital tools are used, the better performance and job satisfaction. However, workers find that digital tools are used too little. The younger workforce is more troubled than the older.
An Introduction to Project End Theory in Project Management
Authors: Umar A. Altahtooh; M. Emsley
Year: 2017

Almost﻿all﻿project﻿management﻿software﻿has﻿lack﻿of﻿displaying﻿the﻿outcomes﻿of﻿projects﻿as﻿a﻿feature.﻿ This﻿is﻿because﻿there﻿is﻿no﻿recognized﻿way﻿of﻿calculating﻿the﻿actual﻿project﻿duration﻿compared﻿to﻿the﻿ authorized﻿project﻿duration.﻿Data﻿were﻿collected﻿through﻿a﻿mixed﻿method﻿using﻿a﻿Critical﻿Incident﻿ Technique﻿ (CIT)﻿and﻿a﻿ survey.﻿The﻿ study﻿ finds﻿ that﻿ time﻿error﻿ can﻿occur﻿ throughout﻿ the﻿project﻿ execution﻿phase.﻿Findings﻿suggest﻿ that﻿challenged﻿projects﻿could﻿be﻿successful﻿or﻿ failed﻿projects﻿ using﻿a﻿model﻿of﻿IT﻿Project﻿Outcomes﻿Testing﻿(MITPOT).﻿Thus,﻿this﻿model﻿establishes﻿a﻿foundation﻿ of﻿Project﻿End﻿Theory﻿(PET). KEywoRdS Actual Project Duration, Challenged Project, Failure, IT Project, Success, Time Error
Design and development of a new facility for teaching and research in clinical anatomy
Authors: J. Greene
Year: 2009

This article discusses factors in the design, commissioning, project management, and intellectual property protection of developments within a new clinical anatomy facility in the United Kingdom. The project was aimed at creating cost‐effective facilities that would address widespread concerns over anatomy teaching, and support other activities central to the university mission–namely research and community interaction. The new facilities comprise an engaging learning environment and were designed to support a range of pedagogies appropriate to the needs of healthcare professionals at different stages of their careers. Specific innovations include integrated workstations each comprising of a dissection table, with removable top sections, an overhead operating light, and ceiling‐mounted camera. The tables incorporate waterproof touch‐screen monitors to display images from the camera, an endoscope or a database of images, videos, and tutorials. The screens work independently so that instructors can run different teaching sessions simultaneously and students can progress at different speeds to suit themselves. Further, database access is provided from within an integrated anatomy and pathology museum and display units dedicated to the correlation of cross‐sectional anatomy with medical imaging. A new functional neuroanatomy modeling system, called the BrainTower®, has been developed to aid integration of anatomy with physiology and clinical neurology. Many aspects of the new facility are reproduced within a Mobile Teaching Unit, which can be driven to hospitals, colleges, and schools to provide appropriate work‐based education and community interaction. Anat Sci Ed 2:34–40, 2009. © 2009 American Association of Anatomists.
Proposing an Effective Artificial Neural Network Architecture to Improve the Precision of Software Cost Estimation Model
Authors: I. Attarzadeh; S. H. Ow
Year: 2014

Software companies have to manage different software projects based on different time, cost, and manpower requirement, which is a very complex task in software project management. Accurate software...
USING ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT
Authors: E. N. Tumilevich
Year: 2023

Artificial intelligence as a technology is spreading in all areas of human activity. New models are emerging for use in a variety of areas: finance, management, healthcare, education, etc. Issues related to project management are also often resolved using artificial intelligence due to the need to quickly make decisions in conditions of high uncertainty based on a large flow of information. The purpose of the study was to review the possibilities and directions for using artificial intelligence in project management. The author examines teaching methods applicable in project activities. Similar to artificial intelligence technology itself, learning methods in project activities require further development and deep understanding. Currently, we can state the fact that developments in this area are at the beginning of the development stage. The author made an attempt to systematize existing models, present a classification of all areas of project management and the possibilities of using artificial intelligence in these areas.
Machine Learning in Construction: A Systematic Review with a Focus on Nigeria
Authors: Osowomuabe Njama-Abang
Year: 2025

The Nigerian construction industry faces persistent challenges, including inefficiencies, delays, and cost overruns, which significantly limit its contribution to national development. Globally, machine learning (ML) has revolutionized the construction sector by improving processes such as cost estimation, project scheduling, and risk management. Despite its potential, ML adoption in Nigeria remains minimal, with significant gaps in research and application. This study seeks to address this gap by conducting a systematic review of ML applications in the global construction industry, with a focused analysis of opportunities and barriers for implementation within the Nigerian context. A systematic review methodology was adopted, following PRISMA guidelines. Relevant peer-reviewed articles were sourced from databases such as Scopus and Google Scholar, and thematic analysis was conducted to compare global trends with the Nigerian construction landscape. Key findings reveal that ML has enhanced project efficiency, optimized costs, and facilitated data-driven decision-making globally. Specific opportunities for ML adoption in Nigeria include resource optimization through efficient allocation of materials and labor, predictive maintenance for minimizing equipment downtime and repair costs, and advanced data-driven project management to improve planning and execution. However, barriers such as economic instability, limited technical expertise, and infrastructure deficiencies hinder widespread adoption. This study recommends targeted strategies, including investments in ML capacity building through specialized training, infrastructure development, and fostering collaborations between academia and industry. Accelerating ML adoption is essential for enhancing the competitiveness, efficiency, and sustainability of Nigeria’s construction industry, thereby contributing to broader national development objectives. Future research should focus on empirical investigations to validate these findings and provide actionable insights for implementing ML in Nigeria’s construction sector.
Impact of Agile Project Management on IT Projects
Authors: Muhammad Waqas Arshad
Year: 2024

Agile project management has been more popular in a number of industries, most notably information technology (IT), because of its flexible and iterative approach. Through a comparative analysis, this study aimed to investigate the impact of agile project management on IT projects. It explored the fundamental ideas and methods of agile project management and looked into how they affect the results of IT projects. Analyzing the benefits and challenges of using agile methodology in IT projects, the research compares and contrasts these results with more conventional project management approaches. It also assesses the impact of agile project management on important factors like project velocity, quality, customer happiness, and IT projects' overall adaptability. This research amied to provide IT managers with the information they need to make informed decisions about their project management approaches by providing specific examples and analyzing the impact of agile project management on IT projects. The goal of this study was to improve understanding of how agile project management affects IT projects. IT managers wishing to implement or improve agile approaches can gain valuable insights from this analysis of actual data and comparative study. Enhancing the effectiveness, efficiency, and customer satisfaction of IT project outcomes is the ultimate goal of this research. The main purpose of this analysis was to shed light on how different project management approaches affect engineers' productivity, effectiveness, and efficiency in order to improve project outcomes, efficiency, and client satisfaction in IT ventures. This research, which focuses on the IT industry, carefully examines the essential elements for a successful implementation of Agile project management strategies, which have shown advantages in the IT industry. The main goal of the study was to identify the crucial success variables that affect IT project success across functional departments of selected entities, both at the individual and organizational levels. A study using random sampling was carried out, and a questionnaire was given to project managers, consultants, and engineers who had at least five years of experience. The sample consisted of 200 individuals working at IBM. The research also provides opportunities for more research, with a focus on internal organizational policies, contract structures, team communication, and consumer engagement. While new perspectives on contract forms and the use of Agile methodologies in quality assurance were provided, more research is necessary to completely comprehend the influence of organizational and human factors.
Tinjauan Waktu dan Biaya Pelaksanaan Pekerjaan Bor Pile Metode Critical Chain Project Management (Kasus: Jembatan Phinisi Center Point of Indonesia)
Authors: Yasnawi Idrus; Winarno Arifin; Mukti Maruddin; M. Ulfah; Yana Mardiana
Year: 2020

Proyek pembangunan jembatan Phinisi Center Point of Indonesia terdiri dari beberapa macam pekerjaan sub structure seperti pekerjaan tanah, pekerjaan pondasi bored pile. Pada bulan Januari sampai Maret mengalami keterlambatan progress. Schedule atau penjadwalan adalah unsur yang paling penting dalam pelaksanaan proyek. Namun didalam pelaksanaan jadwal cenderung tidak terpakai secara efektif dilapangan. Kondisi yang demikian mengakibatkan pelaksanaan proyek tidak sesuai dengan time schedule proyek. Manajemen adalah kemampuan perusahaan atau instansi dalam merencanakan dan menyelesaikan suatu pekerjaan. Manajemen proyek adalah kemampuan perusahaan atau instansi dalam menyelesaikan suatu pekerjaan berdasarkan target jangka pendek yang sudah dirumuskan sebelumnya. Manajemen proyek juga ditetapkan mengikuti time schedule yang telah ditetapkan. Ilmu manajemen proyek sudah sepatutnya dipahami oleh pihak-pihak yang terlibat dalam penyelesaian suatu proyek utamanya para manajer karena itu setiap stakeholder harus menjalankan perannya masing-masing. Dengan menggunakan metode penjadwalan ini akan diperoleh feeding buffer dengan durasi 3 akan diperoleh project buffer dengan durasi 16 sehingga penjadwalan eksisting 120 hari kerja menjadi 104 hari dengan menggunakan critical chain project management (CCPM) diperoleh biaya pendanaan proyek sebesar Rp10.628.917.737 dimana mengalami penghematan sebesar Rp72,718,349.64 pada biaya tenaga kerja.
Using Classification Techniques for Assigning Work Descriptions to Task Groups on the Basis of Construction Vocabulary
Authors: M. Martínez-Rojas; J. M. Soto-Hidalgo; Nicolás Marín; M. Vila
Year: 2018

Construction project management produces a huge amount of documents in a variety of formats. The efficient use of the data contained in these documents is crucial to enhance control and to improve performance. A central pillar throughout the project life cycle is the Bill of Quantities (BoQ) document. It provides economic information and details a collection of work descriptions describing the nature of the different works needed to be done to achieve the project goal. In this work, we focus on the problem of automatically classifying such work descriptions into a predefined task organization hierarchy, so that it can be possible to store them in a common data repository. We describe a methodology for preprocessing the text associated to work descriptions to build training and test data sets and carry out a complete experimentation with several well‐known machine learning algorithms.
RABBIT-VENTURE
Authors: C. Gerwel; S. Bodhanya
Year: 2012

Change processes in organizations and specifically change involving multiple stakeholders can be challenging. Participants in the simulation are grouped and tasked with making a success of a project involving the building of simulated rabbit cages. Certain groups have complete power and control, particularly by way of possession of valuable resources, whereas the group tasked with producing the cages relies on communication from the other groups regarding the required strategy. Participants thus have to navigate through immense complexity, which arises from the existence of multiple stakeholders, each with their own mental models, values, goals, and perceptions. The simulation can be used for students in classes that focus on change management, project management, strategic management, and even general management, as the scenarios are characterized by turbulence, which sets the scene for a rich debriefing regarding these critical areas. The simulation can also be of benefit to employees and managers undergoing such processes.
The Use of Gamification to Support the Process of Teaching Scrum
Authors: Luiz Ricardo Begosso; L. H. Franco; Douglas Sanches da Cunha; Luiz Carlos Begosso
Year: 2019

This poster presents our work in progress using gamification principles to create a game for supporting the process of teaching Project Management concepts. We created the Scrum Simulator, a game that is focused on promoting the engagement of students in the learning process of agile concepts and the Scrum methodology. This game is based on CRPG ? Computer Role-Playing game, where the student controls the actions of a character immersed in a well-defined world. Our game simulates different circumstances where the student can "live" the different Scrum phases and roles. We will describe the details of the implementation of the project and how students can experience real situations in software development.
A Discrete Event Simulation Model to Evaluate Changes to a Software Project Delivery Process
Authors: John E. Psaroudakis; Andreas Eberhardt
Year: 2011

Process simulation modeling has been successfully applied to software development processes to support management decisions on issues related to process management and process improvement. In this work, we develop a discrete event simulation model to study an IT department's project delivery process and estimate the effect on its performance after applying a change to it. We focus on three important performance indicators of project management processes: cost, time and quality. The model uses statistical data analysis techniques and concepts of earned value management to simulate the performance of process activities, model the linkages between them, as well as capture the uncertainty that exists in real-life software processes. Design of experiments is used to organize the experiments and evaluate the results. Finally, two use case scenarios are presented to demonstrate how the simulation model can support decision making during a process improvement initiative. The project delivery process of a major mobile telecommunications provider was used as a template to design the simulation, calibrate parameters, and test the validity of the model.
Exploration of Contractors’ Management Strategies in Delivering Successful Construction Projects in Ghana: A Factor Analysis Approach
Authors: F. Ackon; J. V. Mensah; H. Danso; N. Kheni
Year: 2024

This study explores the management strategies used by contractors in Ghana during the construction stage to successfully deliver construction projects. The research employed a descriptive cross-sectional survey to gather data from 375 site managers working in medium and large-sized construction firms in Ghana. Principal Component Analysis (PCA) was used to reduce the 32 strategies identified through the literature review to 25sub-strategies. The analysis identified four key strategy categories that contribute to successful project delivery: effective project planning, monitoring and control, stakeholder collaboration, and integration of digital technologies. The findings provide valuable insights and recommendations to enhance project management practices within Ghana's construction industry, aiming to improve project delivery and increase stakeholder satisfaction.
Implementation of a Project Management Office (PMO)--experiences from year 1.
Authors: Miriam Isola; A. Polikaitis; Rose Ann Laureto
Year: 2006

Recognized as an early leader in clinical information systems, the University of Illinois Medical Center was challenged to meet the ever-increasing demand for information systems. Interviews with key stakeholders revealed unfavorable attitudes toward the Information Services department. Reasons given were that projects often are not aligned with business strategy, projects are delayed, IS itself is a barrier to progress, and a lack of proactive planning precipitates crises. Under the leadership of a new CIO, IS began developing a Project Management Office, or PMO, to better meet medical center business objectives and to more effectively manage technology projects. Successes during the first year included comprehensive IT strategic planning. Collaborative relationships were established with departmental leaders for planning, prioritizing, budgeting, and executing projects. A formal Web-based process for requesting IS projects was implemented, project management training was provided, and elements of standard project management methodology were implemented. While a framework for effective project management was created, significant effort is still required to firmly root these new processes within the organizational culture. Project management office goals for the second year include implementing a project portfolio management tool, refining the benefits methodology, and continuing the advancement of the project management methodology.
Public Capital Budgeting and Management: The Concept and Its Application in Three Important Federations
Authors: N. Ermasova; John L. Mikesell
Year: 2019

This paper reviews the literature on national government capital budgeting approaches, identifies the standard features expected to be found in such processes, and compares how the procedures are applied in three large and significant federations, the German Federal Republic, the Russian Federation, and the United States. the study uses a comparative case study approach to uncover contrasts, similarities, and patterns of capital budgeting in these countries. This paper examines infrastructure status and gaps and how capital budgeting procedures identified here can help resolve problems. the main finding is that effectively managing and budgeting capital expenditures are among the most pressing challenges to contemporary governments and the effort requires comprehensive and systematic planning, centralized execution and project management, and infrastructure maintenance.