derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Intelligent project portfolio development of IT companies
Authors: Yevheniia Boiko; Yuliia Diachenko; Tetiana Shandra; Valerii Yakovenko
Year: 2024

In the dynamic IT industry, project portfolio management (PPM) plays a pivotal role in organizational success. However, traditional PPM methods often struggle to cope with the increasing volume, complexity, and uncertainty of IT projects. To address these challenges, this paper explores the application of intelligent techniques for project portfolio development in IT companies. The paper highlights the benefits of data-driven prioritization, strategic alignment, risk management and resource optimization, and continuous improvement in enhancing PPM practices. It emphasizes the role of machine learning, AI-powered tools, and real-time monitoring dashboards in enabling intelligent project portfolio development. The article contains practical recommendations and steps that IT companies can use to improve their project management processes. It also provides valuable guidance on how to address typical problems and challenges that IT companies may face during project portfolio formation. This article is an important source of information for IT leaders, project managers, and other professionals in the IT industry who are looking for effective ways to optimize project management in their organizations. The paper concludes by emphasizing the importance of ethical considerations, human oversight, and data quality in implementing intelligent PPM solutions. By embracing these intelligent techniques, IT companies can optimize their project portfolios, maximize resource utilization, and achieve their strategic goals.
PENGENDALIAN BIAYA DAN WAKTU MENGGUNAKAN EARNED VALUE ANALYSIS (EVA) DENGAN APLIKASI MICROSOFT PROJECT 2019 PADA PROYEK PENATAAN KALI PEPE HILIR PINTU AIR DEMANGAN LAMA-PINTU AIR DEMANGAN BARU SURAKARTA
Authors: Akbar Prakosa Rahardi; W. Hartono; Dewi Handayani
Year: 2024

Proyek konstruksi adalah suatu kegiatan yang semakin besar dan kompleks, baik secara fisik maupun biaya. Varian biaya dan waktu yang besar menunjukkan manajemen proyek yang buruk. Studi kasus dilakukan pada proyek Penataan Kali Pepe Pintu Air Demangan Lama-Pintu Air Demangan Baru, Surakarta. Tujuan penelitian ini adalah mengelola biaya dan waktu untuk mengatasi kertelambatan dalam keberlanjutan proyek. Metode yang digunakan adalah Earned Value. Analisis Earned Value menghasilkan penilaian kinerja implementasi, pelaksanaan proyek dari segi waktu dan biaya, serta dilaksanakan pada periode pelaporan yang sudah ditetapkan berdasarkan perkiraan biaya dan waktu produksi. Data yang dibutuhkan adalah rencana anggaran biaya (RAB), S-Curve, dan laporan mingguan dengan aplikasi Microsoft Project 2019. Hasil analisis menunjukkan proyek yang semula selesai dalam waktu 370 hari, terlambat menjadi 381 hari. Nilai kontrak awal proyek Rp42.260.689.090,03 dan perkiraan biaya penyelesaian proyek Rp37.770.656.791,88 dengan sisa anggaran Rp4.490.032.298.15. Analisis keterlambatan proyek menggunakan skenario percepatan kerja shift yaitu terjadi percepatan 56 hari dari 196 hari menjadi 140 hari dengan biaya tambahan Rp246.712.720,00. Pada skenario percepatan penambahan tenaga kerja yaitu percepatan 77 hari dari 196 hari menjadi 119 hari menghasilkan biaya tambahan Rp147.551.727,00. Pada skenario percepatan penambahan alat berat yaitu 65 hari dikurangi dari 196 hari menjadi 131 hari dengan biaya tambahan Rp1.993.222.000,00.
Understanding project complexity: implications on project management
Authors: Ludovic-Alexandre Vidal; F. Marle
Year: 2008

Purpose – The purpose of this paper is to better identify, define and model complexity within the field of project management in order to manage better under conditions of complexity (and manage better complexity‐induced risks).Design/methodology/approach – An extensive literature review enlightens the lack of consensus on project complexity and thus provides a broad view and a critical analysis of the underlying concepts. A project complexity framework and definition are then proposed. After underlining the stakes of project complexity in accordance with these proposals, a project complexity model is then built notably due to systems analysis.Findings – Proposal of standard project complexity framework and definition. Proposal of a synthesis of the relationships between the concepts of project uncertainty and project complexity. Proposal of a project complexity model (and validation due to industrial application).Research limitations/implications – The literature review and project complexity framework t...
Syncretic project management in the era of artificial intelligence explosion
Authors: Serhiy Bushuev; A. Ivko; Yuriy Tikhonovych
Year: 2024

As the technological landscape rapidly evolves, the convergence of innovation and artificial intelligence (AI) presents unprecedented opportunities and challenges for project management. This paper introduces a comprehensive mathematical model for the syncretic management of innovative projects in the age of the AI explosion. Syncretism in this context refers to the seamless integration of diverse elements, including interdisciplinary collaboration, AI technologies, and adaptive methodologies, to optimize project outcomes. The proposed model encompasses various facets of project management, innovation, and AI integration. It delineates stages of project lifecycle management, emphasizing resource allocation, risk assessment, and adaptive strategies. In the innovation management domain, the model incorporates methodologies for idea generation, technology scouting, and open innovation, recognizing AI's role in shaping the innovative landscape. A crucial aspect of the model lies in the integration of AI technologies throughout the project. This includes identifying relevant use cases, managing data effectively, selecting appropriate AI models, and establishing decision support systems. The syncretic approach emphasizes cross-functional collaboration, fostering an environment where different disciplines seamlessly contribute to project success. Resource optimization is a key focus, leveraging AI to allocate resources efficiently, predict maintenance needs, and enhance overall project performance. Ethical and legal considerations are embedded within the model to ensure responsible AI usage, and the paper outlines mechanisms for ongoing training and development to equip teams with the necessary skills. The model's effectiveness is evaluated through the lens of monitoring and evaluation, with defined key performance indicators, continuous monitoring, and feedback loops for iterative improvements. Communication and collaboration are underscored, utilizing modern tools to facilitate stakeholder engagement and effective teamwork. This paper contributes to the evolving discourse on project management by providing a robust framework that adapts to the dynamic nature of AI and innovation. It serves as a guide for project managers, interdisciplinary teams, and decision-makers navigating the challenges and opportunities presented by the syncretic management of innovative projects in the era of the AI explosion.
Monitoring System Prototype Design at The Project Management Units
Authors: Sefhia Astri; Yulika Purba; E. Syahputra; Halim Maulana
Year: 2022

Project Management Unit of ERP (Enterprise Resource Planning) serves to limit, planning, forecasting, scheduling, organizing, directing, controlling, and closing projects. Technological development monitoring system and growing can be used to assist management in monitoring to ensure all activities conducted goes according to plan. The technology can be used as a media monitoring include web-based technology. The method used is by direct observation in ERP Project Management Unit, analyzing procedures and processes on the system is running, as well as describe the procedure using UML. To support the accuracy of the data, the research conducted by the method of literature, by searching for relevant information from various books and browsing the Internet. I also conduct experiments or in practice in the design and manufacture of prototype applications Project Management Monitoring System. The benefits of this research is to produce a new system in the form of application Project Management Web-based Monitoring System is capable of supporting high mobility of employees to report any activity that has been, is being, or will be done in realtime. The report was subsequently used as a basis for analyzing the shortcomings of the activities that have been done so that management can do forecasting activities that will be implemented in the future. From this research, the expected performance of the ERP Project Management Unit in monitoring projects can be more effective, efficient, and optimal.
Development of a Web Service for Analysis in a Distributed Network
Authors: Xiaoqian Jiang; Yuan Wu; Keith A. Marsolo; L. Ohno-Machado
Year: 2014

Objective: We describe functional specifications and practicalities in the software development process for a web service that allows the construction of the multivariate logistic regression model, Grid Logistic Regression (GLORE), by aggregating partial estimates from distributed sites, with no exchange of patient-level data. Background: We recently developed and published a web service for model construction and data analysis in a distributed environment. This recent paper provided an overview of the system that is useful for users, but included very few details that are relevant for biomedical informatics developers or network security personnel who may be interested in implementing this or similar systems. We focus here on how the system was conceived and implemented. Methods: We followed a two-stage development approach by first implementing the backbone system and incrementally improving the user experience through interactions with potential users during the development. Our system went through various stages such as concept proof, algorithm validation, user interface development, and system testing. We used the Zoho Project management system to track tasks and milestones. We leveraged Google Code and Apache Subversion to share code among team members, and developed an applet-servlet architecture to support the cross platform deployment. Discussion: During the development process, we encountered challenges such as Information Technology (IT) infrastructure gaps and limited team experience in user-interface design. We figured out solutions as well as enabling factors to support the translation of an innovative privacy-preserving, distributed modeling technology into a working prototype. Conclusion: Using GLORE (a distributed model that we developed earlier) as a pilot example, we demonstrated the feasibility of building and integrating distributed modeling technology into a usable framework that can support privacy-preserving, distributed data analysis among researchers at geographically dispersed institutes.
An agile project management experience: points of view of graduate students
Authors: K. T. Lyra; M. Alves; F. Silva; Kathiani E. Souza; Seiji Isotani
Year: 2018

One of the main challenges of teaching software engineering (SE) is providing students with meaningful experiences and skills that can be used in real-world projects. In order to overcome this challenge, the adoption of activities that go beyond theoretical classes has shown good results. For example, carry out collaborative hands-on projects that require students to extensively apply software engineering concepts may lead to better skills development. In this paper we present our experience over the first semester of 2017 in the SE course as part of our academic Masters of Science degree program at the Universidade de SÃčo Paulo (USP). A group of 5 graduate students managed teams of 8 to 11 undergraduate students during a semester divided in four phases of project development. The projects were developed using the agile methods SCRUM and Feature Driven Development. Both graduate and undergraduate students with different levels of knowledge were evaluated in all phases. We explain the dynamics of the teams, and discuss both undergraduate and graduate students experiences. The graduate students reported that the experience was successful and very important to improve their management skills.
Risk Analysis of Digital Twin Project Operation Based on Improved FMEA Method
Authors: Longyu Li; Jianxin You; Tao Xu
Year: 2025

With the advent of digitization, digital twin technology is gradually becoming one of the core technologies of the Industry 4.0 era, highlighting the increasing importance of digital twin project management. Despite its potential, DT projects face significant risks during implementation, stemming from technical, managerial, and operational complexities. To address these challenges, this study proposes an improved failure mode and effect analysis (FMEA) framework by integrating double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This framework converts qualitative assessments into quantitative metrics and calculates weights using a hybrid approach, enabling more precise risk prioritisation. Application of the model to an automotive manufacturing company’s DT project identified key risks, particularly in the iteration and upgrade phase, emphasising the importance of cross-departmental collaboration and robust digital infrastructure. The proposed model provides a systematic framework for enterprises to assess and mitigate risks, ensuring the successful deployment of DT projects.
Building Theory from Practice: Opportunities in IS Project Management
Authors: P. Reynolds; P. Yetton
Year: 2007

This paper reports on a program of practice-driven research to develop theory to improve IS project performance. This is a significant and persistent problem for the IS discipline. The paper identifies a novel, meta-level research methodology or approach that is motivated by ‘looking for a gap in practice and developing the theory in the gap’. Reviewing four examples from a seven-year research program, the paper describes the approach as a high potential, under-utilised approach to developing theory. Critically, the approach assumes that multiple theories are required to improve the management of IS projects, rather than a single theory of IS project management.
Four integration patterns: a socio‐technical approach to integration in IS development projects
Authors: B. Bygstad; P. Nielsen; B. Munkvold
Year: 2010

This paper aims to contribute to a theory of integration within the field of information systems (IS) project management. Integration is a key IS project management issue when new systems are developed and implemented into an increasingly integrated information infrastructure in corporate and governmental organizations. Expanding the perspective of traditional project management research, we draw extensively on central insights from IS research. Building on socio‐technical IS research and software engineering research, we suggest four generic patterns of integration: big bang, stakeholder integration, technical integration and socio‐technical integration. We analyse and describe the advantages and disadvantages of each pattern. The four patterns are ideal types. To explore the forces and challenges in these patterns, three longitudinal case studies were conducted. In particular we investigate the management challenges for each pattern. We find that the patterns are context‐sensitive and describe the different contexts where the patterns are applicable. For IS project management, the four integration patterns are a contribution to the management of integration risks – extending the vocabulary for assessing and mitigating these risks in IS development. For practitioners the four integration patterns represent an analytical framework to be used in planning modern IS development projects.
Lessons learned from implementing project management games
Authors: David Rumeser; M. Emsley
Year: 2019

The purpose of this paper is to identify the principles governing successful project management serious (educational) game design and implementation by identifying lessons learned from implementing such games. This paper applied a triangulation method that qualitatively blends the perspectives of project management practitioners, game designers, and learners. The findings of this paper suggest principles of game realism, context, display, gameplay clarity, target audience, feedback, setting, debriefing, communication mode, and personalization. The main potential beneficiaries of this research include project management educators, trainers, students, training participants, and game designers. The study provides a comprehensive project management game design and implementation guideline that could help improve the quality of project management serious games. This paper is the first exploratory study to blend the perspectives of learners (students), serious game experts, and experienced project management practitioners in order to identify the key principles of delivering successful project management educational or serious games.
Evaluation of Cost Implication of Virtual Project Management on Execution of Building Construction Projects during COVID 19 Lockdown
Year: 2025

This research was conducted to verify the impact of virtual
project management in the construction industry on project
cost with it associated project team productivity.
Questionnaire were distributed for acquisition of primary
data that were gotten from respondents basically of
construction project management background. These data
were analysed using statistical package for social sciences
SPSS to find out the correlation between virtual project
management and project cost reduction as well as correlation
between virtual project Management and project Team
productivity. The research results from statistical analysis
shows that Virtual project Management was very helpful in
construction project delivery during COVID 19 in line with
project running cost reduction and increase in construction
project productivity in the midst of global face to face onsite
work restriction that created enormous difficulties in
construction project execution and delivery, with its resultant
effects on project cost overrun, project abandonment, project
time overrun, low project productivity and output. Based on
this research outcome, we recommend that virtual project
management should be sustainably applied in project work
places during periods of non-restriction of face to face or
onsite project execution for construction firms’ economic
development and achievement of good value for money.
Furthermore, within these period of non-restriction, Hybrid
Project execution framework, comprising of both virtual and
onsite project management methods should be adopted for
successful project delivery at budgeted project cost.
The Learning Curves in Open-Source Software (OSS) Development Network
Authors: Youngsoo Kim; Lingxiao Jiang
Year: 2014

We examine the learning curves of individual software developers in Open-Source Software (OSS) Development. We collected the dataset of multi-year code change histories from the repositories for five open source software projects involving more than 100 developers. We build and estimate regression models to assess individual developers' learning progress (in reducing the likelihood they may make a bug). Our estimation results show that developer's coding experience does not decrease bug ratios while cumulative bug-fixing experience leads to learning progress. The results may have implications and provoke future research on project management about allocating resources on tasks that add new code versus tasks that debug and fix existing code. We also find that different developers indeed make different kinds of bug patterns, supporting personalized bug prediction in OSS network. We found the moderating effects of bug types on learning progress. Developers exhibit learning effects for some simple bug types (e.g., wrong literals) or bug types with many instances (e.g., wrong if conditionals).
Research on Collaborative Management of BIM (Building Information Modeling) in Engineering Projects
Authors: Xiaoyuan Yin
Year: 2024

Abstract: The research on collaborative management of Building Information Modeling (BIM) in engineering projects aims to explore the application of BIM technology in construction engineering and its impact on collaborative management. BIM technology creates digital 3D models, centrally manages project information, promotes information sharing and collaboration, and improves project management efficiency. In construction projects, BIM technology can effectively solve the problems of difficult information sharing and poor information transmission, thereby making collaborative management more efficient. In addition, the application of BIM technology in the design, bidding, and construction stages can ensure the smooth transmission of information and improve the efficiency of collaborative management. Research has shown that the application of BIM technology in structural design significantly improves design quality and demonstrates its wide applicability. However, despite the significant advantages of BIM technology in collaborative management, there are still some challenges, such as trust issues and technical operational difficulties. Through in-depth research and application of BIM technology, more efficient collaborative management models can be provided for future engineering projects, promoting the development of the construction industry.
Como o Uso de Ferramentas de Gerenciamento de Projetos é Ensinado em Cursos Superiores de Computação: Um Panorama das Instituições de Ensino Brasileiras
Authors: Rafael Queiroz Gonçalves; C. V. Wangenheim
Year: 2016

The Project Management of a contemporary software project is impractical without the support of a Project Management tool. Thus, the usage of these tools has to be addressed in superior computer courses. Even existing a wide literature about project management – manly regarding concepts and methods, it is not found many information related to the teaching of the usage of these tools. Aiming to understand how this competency is been taught, this research aims to characterize the teaching of the usage of these tools in superior computer courses in Brazilian educational institutions. Hence, it was carried out a survey to identify: (a) Which project management tools are been taught; (b) how the instructional units are been defined; and (c) how they are evaluated. We have invited 590 teachers of Project Management and Software Engineering disciplines, and obtained 92 responses. The collected data are synthetized, presenting the panorama of Brazilian educational institutions. The results may be useful for teachers in their disciplines and also for researches, pointing out the improvement opportunities for teaching this content more efficiently.
Analisis Kajian Faktor-Faktor Yang Dapat Mempengaruhi Keterlambatan Proyek Jalan Di Jalan Raya Rancaekek - Cileunyi Nagreg
Authors: Rusito Rusito
Year: 2019

Manajemen dalam proyek konstruksi adalah proses bagaimana memanfaatkan sumber daya yang terbatas. Teknik dan alat manajemen adalah sebuah proyek yang dibangun dengan peran penting dalam efektifitas manajemen proyek. Oleh karena itu, manajemen proyek yang baik terletak pada teknik dan alat manajemen yang diperlukan untuk proyek. Keterlambatan dan pembengkakan biaya adalah ukuran ketidaksesuaian waktu dan biaya yang telah diperbaiki. Penelitian ini bertujuan untuk menganalisa faktor penyebab keterlambatan proyek jalan. Penelitian ini menggunakan pendekatan kuantitatif. Pengumpulan data penelitian ini menggunakan kuesioner. Sampel penelitian ini berjumlah 107 kontraktor, konsultan dan pemilik proyek jalan. Analisis data penelitian ini dilakukan analisis faktor. Hasil penelitian ini menunjukkan bahwa faktor utama yang berpengaruh terhadap keterlambatan proyek jalan adalah faktor sumber daya dengan nilai keragaman sebesar 49,18%, selanjutnya faktor biaya dengan nilai keragaman total sebesar 5,32% dan faktor terakhir yaitu faktor mutu dengan angka keragaman total sebesar 4,43%.