derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Four Strategies for Driving a University Pre-College Computing Outreach Program
Authors: J. Landry; H. Barnett; Debra L. Chapman; Rosalind McCullough
Year: 2019

A public university’s computing outreach program focused on four key strategies for increasing the depth and breadth of science, technology, engineering, and mathematics (STEM) education. This paper describes the development and implementation of a project management hands-on learning laboratory activity within the context of the university’s outreach strategies. The first two strategies, establishing relationships with the primary and secondary (K–12) level partner schools and implementing whole-grade participation, have led to repeat visits by students over several years. The third strategy, hands-on learning laboratory activities, has successfully engaged K–12 students, as indicated by the assessment results that provide evidence of successful student learning. The fourth strategy, producer–consumer collaborations, has facilitated the efficient matching of faculty expertise with K–12 teacher needs. The results include the evidence that outreach strategies can have a positive influence on student engagement in STEM education at multiple points in the K–12 education experience.
A new management approach for finding an optimal path in an ad-hoc network
Authors: F. Shebli; I. Dayoub; J. Rouvaen; N. Al-Houlou
Year: 2007

Ad hoc networks, and particularly sensors networks, are composed of nodes in which the batteries and processing capacities are limited. Each node can adjust its power to some extent, that determines all its neighbors that can potentially participate in a hop. The traffic expedition through multiple hops is used when the foreseen destination is not in the immediate extension. The nodes have initially limited energy and consume it in different proportions, according to power level and foreseen receivers. In this paper, a new approach to choose the data paths is proposed, in order to maximize the lifetime of node batteries. This algorithm, basically inspired from project management theory, is simple and allows to find the longest life time of an ad hoc network by calculating the optimal path between a source and a destination.
Future Development of Project Management Competences
Authors: A. Silvius; R. Batenburg
Year: 2009

This paper describes a study into the expected development of the competences of the project manager in the year 2027. The study was performed amongst the members of IPMA-Netherlands during the summer of 2007. In the study the 46 competences of the International Competence Baseline 3 (ICB 3) were tested against the expectations of the respondents for the development of project management. Based on four scenarios for the future of Europe, the members indicated which of the competences are expected to become more important, equally important or less important than today.The aim of the study was to provide insight in the expected future development of the project management competences. This goal is relevant for both practitioners and educators.The conclusions are that the study shows indications that project management is developing from an 'occupation' into a true 'profession'. Part of this development is a broader orientation of the project manager in which especially the competences related to the relationship of the project with its environment grow strongly in importance.
An Exploration of Agile Project Management & Technical Debt
Authors: Christopher Sibona
Year: 2018

Concerns about technical debt have risen with the adoption of agile project management. The relationship between technical debt and agile techniques is still unclear (Kruchten, 2012). Cunningham (1992) describes technical debt as immature code that works fine and is acceptable to the customer but needs to be rewritten before negative outcomes will occur. The negative outcomes of technical debt occur in two major areas in software development; issues of evolvability and maintainability (Kruchten, 2012). Kruchten notes technical debt can be visible (e.g., additional time to generate new features, the number of defects, low external quality) and invisible (e.g., low internal quality, documentation debt, architectural debt). Some debt will be measurable and quantifiable where other debt is hard to assess and qualitative, e.g. software engineers will discuss code smells for code that is not quite right. Many methods fall under the agile project management umbrella, including Scrum and Extreme Programming (XP). Agile methods generally follow an iterative and incremental approach to product development where software is frequently delivered (Beck, 2001). Scrum has little to no effect the engineering of the software code directly but is more project management focused. XP includes both engineering practices and management practices and attempts to address technical debt through refactoring, specifically refactoring mercilessly, the application code. The extent to which agile methods discourage or encourage debt is unclear (Holvitie, 2014). Technical debt is in the software code, and software engineers are responsible for generating the technical debt. But technical debt is both a software problem and a management problem. Management and engineering are responsible for management of the debt. How might technical debt concerns be addressed from the perspective that management and engineering share responsibility? What would technical debt look like from an ideal perspective? Who drives technical debt, the software engineers, management, both? Technical debt has some positive aspects like the ability to speed-up the short-term delivery of working software and negative aspects slowing down the longerterm delivery, or susceptibility to bugs. What is the role of engineering, who creates the debt, in the elimination of the debt? How can management be informed of both the quantifiable concerns and the qualitative concerns of technical debt?
Hammer and Nails - Crucial Practices and Tools in Ad Hoc Student Teams
Authors: Marko Leppänen; Samuel Lahtinen; Petri Ihantola
Year: 2016

We have observed students teams on a software engineering project course to understand what software engineering practices they end up using and how do they experience the usefulness of the selected practices and tools. In our context, the most often applied practices and tools were planning meeting, commitment to using tasks, self-selected communication tools, a revision control, and project management systems. We found out that student valued various face-to-face activities the most - even more than they were able to practice them. Finally, the wide variety of communication tools students take even from their leisure time and apply in the course setting surprised us.
The Roll-Out of Project Management System to Improve Project Progress Reporting
Authors: Khairul Azhar Bin Mortadza; Adriana Mohd Rizal
Year: 2024

The adoption of digitalized Project Management Systems (PMS) is increasingly essential to enhance project progress reporting, a critical aspect for efficient decision-making and operational success in organizations. Traditional project management often relies on manual methods, which lead to issues such as data duplication, miscommunication, and delays, ultimately hindering productivity and real-time project oversight. This conceptual paper explores the transformative role of PMS in addressing these challenges, emphasizing its capacity to standardize and automate project processes for improved reporting accuracy, efficiency, and collaboration. This study employs a literature review methodology, drawing insights from the Technology Acceptance Model (TAM) to analyse the factors influencing PMS adoption in organizational settings. Key findings indicate that digital PMS can significantly enhance project management through real-time data visibility and streamlined communication, thus supporting better strategic decisions and minimizing project risks. However, successful adoption is often impeded by barriers such as cultural resistance, the need for substantial user training, integration complexity, and cybersecurity concerns. Future research is recommended to explore the integration of advanced technologies such as artificial intelligence, Internet of Things (IoT), and big data analytics within PMS. Further studies could also examine industry-specific PMS frameworks and assess long-term impacts on project management efficacy across various sectors. By addressing these areas, organizations can optimize PMS adoption and ensure that digital transformation efforts align with broader strategic objectives, ultimately enhancing project success rates.
Construction material classification on imbalanced datasets for construction monitoring automation using Vision Transformer (ViT) architecture
Authors: Maryam Soleymani; Mahdi Bonyani; Hadi Mahami; F. Nasirzadeh
Year: 2021

: Nowadays, automation is a critical topic due to its significant impacts on the productivity of construction projects. Utilizing automation in this industry brings about great results, such as remarkable improvements in the efficiency, quality, and safety of construction activities. The scope of automation in construction includes a wide range of stages, and monitoring construction projects is no exception. Additionally, it is of great importance in project management since an accurate and timely assessment of project progress enables managers to quickly identify deviations from the schedule and take the required actions at the right time. In this stage, one of the most important tasks is to daily keep track of the project progress, which is very time-consuming and labor-intensive, but automation has facilitated and accelerated this task. It also eliminated or at least decreased the risk of many dangerous tasks. In this way, the first step of construction automation is to detect used materials in a project site automatically. In this paper, a novel deep learning architecture is utilized, called Vision Transformer (ViT), for detecting and classifying construction materials. To evaluate the applicability and performance of the proposed method, it is trained and tested on three large imbalanced datasets, namely Construction Material Library (CML) and Building Material Dataset (BMD), used in the previous papers, as well as a new dataset created by combining them. The achieved results revealed an accuracy of 100 percent in all parameters and also in each material category. It is believed that the proposed method provides a novel and robust tool for detecting and classifying different material types.
Understanding the product life cycle: four key requirements engineering techniques
Authors: C. Ebert
Year: 2006

Many enterprises frequently commit to requirements and contracts to boost short- term revenues without properly aligning sales, product management, project management, and marketing. Such misalignment results in insufficient capacity planning or product-development resource allocation, thus delaying projects. For this field study, Alcatel's R&D effectiveness team investigated products and solutions within Alcatel's different business groups. We extracted in the first part of the study four seemingly successful product life-cycle management techniques. Then we quantitatively evaluated the impacts of these techniques on those projects. Results verified that when used in parallel, the four techniques can indeed significantly reduce delays
Exploring a College English Teaching Model Integrating Task-Based Learning (TBL) and Project-Based Learning (PBL)
Authors: Xiaochao Yao
Year: 2024

: This study investigates the integration of Task-Based Learning (TBL) and Project-Based Learning (PBL) in college English teaching to enhance students' language proficiency, engagement, and critical thinking. By combining these methodologies, we propose a model that addresses communicative competence, collaborative skills, and project management abilities. We conducted a mixed methods study with a control and experimental group of students over one semester, assessing language proficiency, engagement, and satisfaction. Results indicate that the TBLPBL integrated model significantly enhances students' communicative skills and engagement compared to traditional methods.
Application of fuzzy sets to multi-objective project management decisions
Authors: Tien-Fu Liang
Year: 2009

In real-world project management (PM) decision problems, input data and/or related parameters are frequently imprecise/fuzzy over the planning horizon owing to incomplete or unavailable information, and the decision maker (DM) generally faces a fuzzy multi-objective PM decision problem in uncertain environments. This work focuses on the application of fuzzy sets to solve fuzzy multi-objective PM decision problems. The proposed possibilistic linear programming (PLP) approach attempts to simultaneously minimise total project costs and completion time with reference to direct costs, indirect costs, relevant activities times and costs, and budget constraints. An industrial case illustrates the feasibility of applying the proposed PLP approach to practical PM decisions. The main advantage of the proposed approach is that the DM may adjust the search direction during the solution procedure, until the efficient solution satisfies the DM's preferences and is considered to be the preferred satisfactory solution. In particular, computational methodology developed in this work can easily be extended to any other situations and can handle the realistic PM decision problems with simplified triangular possibility distributions.
The Role of Sustainable Project Management in Facilities Management
Authors: A. Zahid; N. J. Klungseth; B. Andersen
Year: 2023

Growth in facilities management (FM) and project management (PM) have been remarkable over the last decade. Simultaneously, the adoption of sustainability principles among organisations has also increased. The purpose of this study was to determine the connection between sustainability in PM and FM. Specifically, this research study aimed at understanding the common principles involved in both PM and FM that allowed sustainable development goals (SDGs) to be achieved by the United Nations in 2015 and to be an integral part of the European Green Deal in 2019. A systematic literature review of more than 200 different resource materials was performed, 55 of which were finally selected as falling under the scope of the study. The chosen literature was published between 2001 and 2020, except for the Brundtland Commission Report, which was published in 1987. Based on the collected material, a simplified facility lifecycle model was produced to illustrate the connection between sustainability in FM and PM. Developing this model will help practitioners and researchers incorporate PM as a function of FM, including the application of sustainable activities in different phases of a facility’s lifecycle.
Enabling Globally Distributed Projects: Effects of Project Interface Match and Related Technical Experience
Authors: F. Salvador; J. P. Madiedo
Year: 2020

Global firms often attempt to utilize modular product architectures to ease the distribution of project work among subsidiaries. However, empirical findings on the effectiveness of this approach are mixed. Seeking to clarify this matter, we investigate the conditions under which modular product platform use is associated with cross‐subsidiary distribution of project work. Through an in‐depth case study of a global corporation, we find that a firm’s ability to leverage modular product platforms for distributing project work is positively associated with project interface match (i.e., the extent to which meeting the requirements of a derivative project does not entail modifications of the interfaces embedded in the firm’s modular product platforms). However, this association is attenuated, and eventually muted, by the project technical manager’s related technical experience (i.e., the manager’s personal experience with the technical solution addressing a focal project’s customer requirements). Such attenuation effect originates because lower levels of project interface match do not necessarily imply greater expected project coordination effort. Such expectation is reduced to the extent that the technical project manager has related technical experience. Triangulation of qualitative insights from four embedded cases with a proprietary database of 97 projects supports our contention. These findings contribute to the literatures on product and organizational modularity, distributed work, and project management.
Analisis Kompetensi Analis Sarana dan Prasarana Pendidikan di Dinas Pendidikan Provinsi Sumatera Barat
Authors: Erna Suryani; Tia Ayu Ningrum; Syahril Syahril; Irsyad Irsyad
Year: 2024

Kompetensi lulusan Administrasi Pendidikan belum sepenuhnya mencukupi untuk mengerjakan tupoksi di bagian sarana dan prasarana pendidikan. Terdapat keluhan dari lulusan dan mitra pengguna bahwa kompetensi yang diperoleh dari lembaga akademik saja tidak memadai untuk melaksanakan tugas di bagian sarana dan prasarana pendidikan. Penelitian ini bertujuan menganalisis kompetensi analis sarana dan prasarana pendidikan. Namun, sebelum menganalisis kompetensi perlu adanya analisis tupoksi. Metode yang digunakan yaitu deskriptif kualitatif. Instrumen atau alat yang digunakan dalam penelitian ini menggunakan observasi, panduan wawancara dan studi dokumentasi. Informan penelitian ini yaitu Koordinator Sarana dan Prasarana Pendidikan Bidang Pembinaan SMA dan stafnya. Analisis data menggunakan model Miles dan Huberman yaitu reduksi data, penyajian data dan verifikasi data. Teknik keabsahan data yang digunakan yaitu triangulasi sumber dan triangulasi teknik. Hasil penelitian menunjukan bahwa tupoksi seorang analis sarana dan prasarana pendidikan bidang Pembinaan SMA yaitu melakukan penyiapan bahan perumusan kebijakan teknis, koordinasi dan pelaksanaan kebijakan, evaluasi serta pelaporan dibidang sarana dan prasarana Sekolah Menengah Atas. Dalam pelaksanaannya tupoksi diatas masih belum ada pembagian tugas yang jelas antara analis dengan pegawai sarana dan prasarana lainnya. Kompetensi Analis sarana dan prasarana bidang Pembinaan Sekolah Menengah Atas yaitu: 1) Pengetahuan yang harus dimiliki terkait dengan peraturan perundang-udangan tentang alur pengadaan barang dan jasa, standar sarana dan prasarana, pengetahuan tentang regulasi bangunan, pengetahuan tentang manajemen sarana prasarana dan manajemen proyek, 2) Sikap yang harus dimiliki seorang analis sarana dan prasarana yaitu sesuai dengan nilai-nilai dasar ASN yaitu Ber-Akhlak, 3) Keterampilan yang harus dimiliki seorang analis sarana dan prasarana yaitu keterampilan dalam menganalisis data menggunakan Ms Excel, keterampilan penggunaan komputer dasar, serta keterampilan dalam mengikuti perkembangan teknologi. Upaya dalam meningkatkan kompetensi sebagai seorang analis sarana dan prasarana pendidikan yaitu mengikuti webinar, workshop, dan pelatihan terkait pengadaan barang dan jasa, serta memiliki kemauan mempelajari komputasi seperti aplikasi pengolah data Excel beserta fungsi, rumus serta pivot tabel secara mandiri. Disarankan bagi Prodi Administrasi Pendidikan agar menyesuaikan kurikulum dengan tupoksi yang ada pada bagian sarana dan prasarana pendidikan untuk peningkatan kompetensi lulusan saat terjun ke dunia kerja. Selanjutnya bagi pegawai perlunya peningkatan kompetensi di bidang sarana dan prasarana dan penguasaan komputer. Bagi pihak Dinas Pendidikan Provinsi Sumatera Barat untuk lebih memperjelas pembagian tugas antara masing-masing pegawai agar tidak ada lagi pegawai yang bekerja di luar tupoksinya.
Project Scheduling Problems with Constraints on Personnel Scheduling
Authors: Chang Wang
Year: 2024

This paper addresses the multifaceted decision-making optimization problem of determining the quantity of in-house and outsourced personnel required for projects, as well as the day-off scheduling for in-house staff, aimed at enhancing project management efficiency. With the backdrop of rapidly changing market demands and the accelerated development of emerging technologies, project-oriented organizations, characterized by their project-centric nature, exhibit high levels of innovation, flexibility, and adaptability, with their influence continually expanding. However, these organizations also encounter challenges related to project downtime, employee retention, and personnel scheduling. Building on the traditional discrete time/resource trade-off problem in project scheduling, this study unpacks the resource component into in-house and outsourced personnel. It also imposes constraints on the consecutive days off and the maximum continuous working hours for in-house staff, thereby establishing an integer programming model. To meet the computational demands of large-scale problems, this paper introduces an Iterated Local Search algorithm for the integrated solution of multi-mode project scheduling and personnel allocation. Through experimental analysis, the effectiveness of the model is demonstrated, and the paper explores the impact of the maximum continuous working hours for staff vacations, and the pricing of in-house and outsourced personnel on decision-making. This provides project-oriented organizations with guidance on conducting project activities, arranging in-house staff vacations rationally, and pricing for internal and external personnel.
Distributed team cognition and collaborative problem-solving in project management
Authors: Roberto Godoy Fernandes; L. F. Silva; L. Vils
Year: 2023

PurposeThe purpose of this paper is to verify how distributed cognition enhances collaborative problem-solving in the context of projects.Design/methodology/approachUsing qualitative research and in-depth interviews, a sample of 32 project managers with experience in traditional and agile methods acting in Brazil and internationally participated in the research process. The analysis process, utilising coding techniques, involved stages: open, axial, coding and selective coding. These stages encompassed the evaluation of categories based on a hierarchy, in order to determine an appropriate level of abstraction that properly explains theoretical findings.FindingsThe results indicate that distributed team cognition is significant for collaborative problem-solving. The data from the interviews allowed the proposal of a model of cognition, and the identification of the elements that support it.Practical implicationsUnderstand how aspects of distributed team cognition can impact the behaviours of the project professional and contribute to problem-solving in the project environment.Originality/valueThe elements observed affects the collaborative problem-solving by presenting a model of distributed cognition, which is composed by directed communication, collective interaction, trust building and collaborative behaviour.
Identification of Critical Success Factors (CSFS) for PPP Scheme Toll Road Projects in Indonesia
Authors: Asep Suhana; P. Pratikso; R. Mudiyono
Year: 2024

Public-Private Partnership (PPP) models represent an innovative procurement approach and offer promising prospects for the future of the construction industry worldwide. However, in practice, not all PPP projects, particularly toll road projects, succeed in achieving their goals. This poses a unique challenge in determining the Critical Success Factors (CSFs) as the basis for evaluating project success. Therefore, the aim of this research is to identify and explore the concept of CSFs for toll road projects under the PPP scheme based on reputable academic journals in the last 10 years. This study employs a sequential exploratory mixed methods methodology to identify and explore CSF indicators for PPP scheme projects and to verify and validate the findings. The re-sults of this study reveal 13 indicators crucial for project success, categorized into 8 factors. The findings of this research contribute significantly to the management of PPP toll road projects in Indonesia, serving as a reference for stakeholders in decision-making to enhance the effective-ness and efficiency of toll road project management.