derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks
Authors: N. Nascimento; C. Lucena; P. Alencar; D. Cowan
Year: 2018

Several papers have recently contained reports on applying machine learning (ML) to the automation of software engineering (SE) tasks, such as project management, modeling and development. However, there appear to be no approaches comparing how software engineers fare against machine-learning algorithms as applied to specific software development tasks. Such a comparison is essential to gain insight into which tasks are better performed by humans and which by machine learning and how cooperative work or human-in-the-loop processes can be implemented more effectively. In this paper, we present an empirical study that compares how software engineers and machine-learning algorithms perform and reuse tasks. The empirical study involves the synthesis of the control structure of an autonomous streetlight application. Our approach consists of four steps. First, we solved the problem using machine learning to determine specific performance and reuse tasks. Second, we asked software engineers with different domain knowledge levels to provide a solution to the same tasks. Third, we compared how software engineers fare against machine-learning algorithms when accomplishing the performance and reuse tasks based on criteria such as energy consumption and safety. Finally, we analyzed the results to understand which tasks are better performed by either humans or algorithms so that they can work together more effectively. Such an understanding and the resulting human-in-the-loop approaches, which take into account the strengths and weaknesses of humans and machine-learning algorithms, are fundamental not only to provide a basis for cooperative work in support of software engineering, but also, in other areas.
A successful approach to study skills: The ‘Pupils' Academy’ with Go4C
Authors: M. Utesch
Year: 2015

The Pupils' Academy with Go4C at the Technische Universität München TUM is a reliable instrument to successfully strengthen the study skills of students from the upper vocational schools of Bavaria/ Germany. We enable the participants to change their learning perspective from school student to university student by participating in a regular course at TUM based on project-based learning with our business game Go4C. The goal is to learn how to self-assess and develop those activities which are important for one's personal study skills. This paper presents the Pupils' Academy and the very special project management feature of Go4C as a tool to strengthen the study skills at an early stage before leaving school.
Needs Assessment in Health Research Projects: A New Approach to Project Management in Iran
Authors: N. Peykari; P. Owlia; H. Malekafzali; M. Ghanei; Abdolreza Babamahmoodi; S. Djalalinia
Year: 2013

Background The science and technology health plan has defined the outline of health research to the national vision of Iran by 2025. The aim of this study was to focus on the process of needs assessment of health research projects also health research priority setting in Iran. Methods: The project management life cycle has four phases: Initiation, Planning, Execution and Closure. Based on abovementioned points we conducted the study. Results: Focusing on the needs assessment led to systematic implementation of needs assessment of health project in all of the medical sciences universities. Parallel with this achieved strategies health research priority setting was followed through specific process from empowerment to implementation. Conclusion: We should adopt with more systematic progressive methods of health project managements for both our national convenience as well as our international health research programs.
Discrete-Event Modeling of the Critical Parameters of Functioning the Products of Infrastructure Projects at the Planning Stage
Authors: O. Zachko; Dmytro Kobylkin
Year: 2018

In the article a thorough analysis of existing researches concerning models, methods and mechanisms of infrastructure projects implementation, research of critical parameters influence to the project products, their modeling is conducted. The modern tendencies of large infrastructure projects implementation, in particular their products such as multifunctional complexes, shopping and entertainment complexes, offices of large business centers are described. A thorough analysis of recent research and publications pointed to the relevance of the research question and modeling of the critical parameters of infrastructure projects products operation at different stages of their implementation, in particular at the planning stage. The main methods of discrete-event modeling are considered. The place of the proposed approach in the set of basic methods of the theory and its practical application to the analysis of the evacuation efficiency from the objects of mass stay of people is determined. During the simulation, new methods were used, in particular, the methodology of simulating a particular event - the evacuation from the object with mass stay of people due to a notice of substitution, and a technique for modeling the functioning life cycle of object with mass stay of people. Were used the simulation modeling tools for infrastructure projects based on the Anylogic multi-agent modeling environment classes that allowed to visualize the project management process. Carrying out system analysis in the study pointed to the urgency of the tools use for modeling the critical parameters of functioning the products of infrastructure projects at the stage of project planning, which will allow to issues a comprehensive approach to security of objects with mass stay of people and objects of critical infrastructures. To the direction of further research, we can include studies of critical parameters of functioning the products of infrastructure projects at the stages of realization and functioning of the project in operation.
Model Cooperative Learning Tipe Jigsaw Pada Mata Kuliah Manajemen Proyek Pembangunan Diploma Iv Manajemen Pemerintahan Feb Universitas Jambi
Authors: Dahmiri; Sigit Indrawijaya; Rista Aldilla Syafri
Year: 2021

Salah satu upaya untuk menciptakan proses belajar yang efektif adalah melalui Cooperative Learning Tipe Jigsaw karena sangat sesuai untuk subjek-subjek seperti pelajaran ilmu social, literature, sebagian pelajaran ilmu pengetahuan ilmiah dan bidang-bidang lainnya yang tujuan pembelajaran lebih kepada penguasaan konsep dari pada penguasaan kemampuan. Metode pembelajaan kooperatif tipe jigsaw, mahasiswa bekerja sama untuk mencapai tujuan yang sama. Setiap anggota kelompok dituntut bertanggungjawab terhadap hasil belajarnya, karena keberhasilan kelompok didasarkan atas sumbangan masing-masing anggota kelompok. Dengan demikian, setiap mahasiswa termotivasi untuk belajar, saling mendorong dan saling membantu antar anggota kelompok untuk belajar secara optimal. Hasil penelitian menunjukkan bahwa metode pembelajaran kooperatif teknik Jigsaw mempunyai pengaruh yang positip terhadap hasil belajar (aspek kognitif). Hal ini dapat dijelaskan bahwa aktivitas dalam pembelajaan kooperatif teknik jigsaw berbeda dengan metode diskusi kelompok. Dapat dijelaskan bahwa dalam metode pembelajaan kooperatif teknik jigsaw, mahasiswa bekerja sama untuk mencapai tujuan yang sama. Setiap anggota kelompok dituntut bertanggungjawab terhadap hasil belajarnya,  karena keberhasilan kelompok didasarkan atas sumbangan masing-masing anggota kelompok. Dengan demikian, setiap mahasiswa termotivasi untuk belajar, saling mendorong dan saling membantu belajar secara optimal antar anggota kelompok.
Space project management lessons learned: a powerful tool for success
Authors: Serge Garon
Year: 2006

Purpose – The purpose of this paper is to propose an approach for the management of “Space project management lessons learned” (SProMaLLs) as a powerful way to ensure better success both at project and at corporate levels.Design/methodology/approach – The success of a given space project, and ultimately of the organization supporting this project, is often jeopardized by problems that had happened before. This paper looks at the following questions: Where are the relevant lessons learned that we could have used? What lessons can we draw for future projects? How should we manage this important knowledge? It also examines developments which are under way at the Canadian Space Agency (CSA) regarding the management of SProMaLLs. These developments are based on literature surveys, consultation with space partners, reference to models used by other fields of knowledge and by the Canadian Government central agencies, review of actual lessons learned material (space and others), and the trial and errors of implem...
The Analisis Manajamen Kontruksi Proyek Pembangunan Gedung Puskesmas Kajeung Kecamatan Sungai Mas
Authors: Jefri Satdika
Year: 2022

Manajemen proyek adalah sebuah proses terpadu dimana individu-individu dari organisasi dilibatkan untuk memelihara, mengembangkan, mengendalikan, dan menjalankan program dengan efisien, efektif, dan tepat waktu. Ada 3 kegiatan dari fungsi dasar manajemen proyek yaitu perencanaan, pelaksanaan dan pengendalian. Progres pekerjaan dapat mengalami keterlambatan atau sesuai dengan schedule dan juga bisa lebih cepat dari yang sudah direncanakan. Maka diperlukan manajemen proyek yang baik agar tercapai sesuai dengan perencanaan yang telah ditargetkan. Karena proses perencanaan sebuah proyek konstruksi adalah proses yang paling vital dalam suatu kegiatan proyek konstruksi, karena suatu perencanaan harus dapat mengantisipasi situasi proyek yang belum jelas dan penuh ketidakpastian. Oleh karena itu, pada periode atau tahapan selanjutnya, masih dibutuhkan penyempurnaan dan tindakan koreksi sesuai dengan perkembangan kondisi proyek. Tujuan utama dari perencanaan konstruksi adalah untuk memenuhi kriteria spesifikasi proyek yang ditentukan rencana kerja dan spesifikasi yang meliputi, mutu, dan waktu ditambah dengan terwujudnya keselamatan kerja. Metode yang digunakan dalam penelitian ini adalah menggunakan 3 metode, yaitu metode Bar Chart, Kurva S dan Critical Path Method / Cpm. Pembangunan Gedung Puskesmas Kajeung memerlukan anggaran biaya sebesar Rp. 6.500.000.000,00 (Enam Milyar Lima Ratus Juta Rupiah) berdasarkan Rencana Anggaran Biaya (RAB) dengan menggunakan Analisa Harga Satuan dan Pekerjaan Kabupaten Aceh Barat 2021 dan SNI yang dihitung oleh pihak perencana proyek. Maka dari perhitungan bobot berdasarkan analisis Barchart dan Kurva S Pembangunan Gedung Puskesmas Kajeung dapat diselesaikan dengan waktu selama 175. Akan tetapi berdasarkan analisis penjadwalan CPM (Critical Path Method) Pembangunan Gedung Puskesmas Kajeung membutuhkan waktu 155 hari.
Study on project management system oriented collaborative design
Authors: Wanshan Wang; Tianbiao Yu; Jing Zhou; Yang Zhang
Year: 2009

To meet the requirements of the project management in collaborative design environment, the collaborative design task execution mechanism of task decomposition and allocation based on product structure tree is studied, and the task progress monitoring mechanism which is implemented by recursive weight statistical method is proposed to carry out the task progress control in the collaborative design execution processes. The product collaborative design process is taken as an example to analyze the method of process modeling by jBPM in detail. A project management prototype system based on B/S mode is structured based on MVC design mode by Java technology to verify the correctness of theoretical research and the feasibility of technology.
e-Learning in Project Management Using Simulation Models: A Case Study Based on the Replication of an Experiment
Authors: Daniel Rodríguez; M. Sicilia; J. Cuadrado-Gallego; Dietmar Pfahl
Year: 2006

Current e-learning systems are increasing their importance in higher education. However, the state of the art of e-learning applications, besides the state of the practice, does not achieve the level of interactivity that current learning theories advocate. In this paper, the possibility of enhancing e-learning systems to achieve deep learning has been studied by replicating an experiment in which students had to learn basic software engineering principles. One group learned these principles using a static approach, while the other group learned the same principles using a system-dynamics-based approach, which provided interactivity and feedback. The results show that, quantitatively, the latter group achieved a better understanding of the principles; furthermore, qualitatively, they enjoyed the learning experience
Reducing I.T. Project Management Failures: Early Empirical Results
Authors: G. J. Hidding; J. Nicholas
Year: 2014

Failures rates of Information Technology (I.T.) projects remain high, even after decades of efforts to reduce them. Most efforts to improve project success have focused on variations within the traditional project management paradigm, such as advanced by the Project Management Body Of Knowledge (PMBOK). This paper reports on early empirical results into project (management) success or failure factors stemming from the traditional paradigm as well as from Value-Driven Change Leadership (VDCL). The early results points to several success factors stemming from the traditional project management paradigm as well as from VDCL.
A tractable time-cost tradeoff algorithm for project activity management
Authors: Kun-jung Hsu; Jonathan Shi
Year: 2009

In order to shorten the project time at a minimum overall project cost, a manager's trade-off strategy between time and cost must include two level of action in a project management; at activity level first, then the overall project level. At activity level, all possible options of an activity must be examined to ensure the selective options as a strategy action input is effective. At the overall project level, all effective options input as alternatives of the competition selection process, it must have impact on the duration. Also all the solutions along the time-cost trade-off curve are ensured to reduce time by using the least expensive resource. Traditional time-cost tradeoffs algorithm focuses on problem solving procedure, seldom concern computationally tractable need for management. This paper rewrites the mathematical programming in term of manageable decision variables, which will be easy to unfold the tradeoffs behavior of time-cost. How each optimal project time-cost solutions were attained via different combinations of reducing time for activities was showed.
ARTIFICIAL INTELLIGENCE TO AUTOMATE: TRANSLATION OF TECHNICAL TERMS IN PROJECT MANAGEMENT
Authors: Oleksandr Lysychenko
Year: 2024

This article highlights the influence of artificial intelligence (AI) on automating the translation of technical terminology in project management. In particular, the article focuses on the use of machine translation (MT), which, thanks to their ability to process large amounts of data, cloud computing, and advanced algorithms, increase the accuracy and speed of translation of technical documentation. It is noted that AI helps to reduce translation costs and improves the consistency of terminology, which is critical for the successful completion of projects with tight deadlines. Nevertheless, challenges in this field are also identified, including the high error rate in translating highly specialized terms and the ongoing need to enhance systems to meet the varied demands of users. Different translation approaches are discussed, including neural machine translation (NMT), statistical machine translation (SMT) and rule-based machine translation (RBMT), which ensure high accuracy and smoothness of translation. Integrating AI into project management systems can also optimise communication in multilingual teams. The article highlights the growing role of AI in the translation of technical terms, which has great potential to improve efficiency in project management.
Cross-functional team dynamics in technology management: a comprehensive review of efficiency and innovation enhancement
Authors: Rita Uchenna Attah; Baalah Matthew Patrick Garba; Ifechukwu Gil-Ozoudeh; Obinna Iwuanyanwu
Year: 2024

Cross-functional teams have emerged as pivotal in technology management, where the demand for efficiency and innovation is paramount. Comprising members with diverse skills and expertise, these teams enhance the integration of knowledge across functional boundaries, contributing to streamlined processes and creative problem-solving. This review reviews the dynamics of cross-functional teams, emphasizing their impact on efficiency and innovation within technology-driven organizations.  Efficiency gains stem from cross-functional teams’ ability to break down silos, facilitating better communication and collaboration across departments. For instance, engineers, marketers, and financial analysts working together can align goals, optimize workflows, and reduce redundancies. Such teams are particularly adept at rapid problem-solving, as their diverse expertise enables them to address challenges comprehensively. Additionally, implementing tools like project management software and data-sharing platforms enhances operational efficiency, ensuring timely and cost-effective technology delivery. On the innovation front, cross-functional teams provide fertile ground for ideation by fostering diversity of thought. When individuals from varied backgrounds collaborate, they are more likely to generate novel solutions, driving product development and technological advancements. This dynamic is further amplified by a culture of openness and mutual respect, where all team members feel empowered to contribute ideas. In technology management, this can result in the adoption of disruptive technologies and the exploration of new business models.  However, these teams also face challenges such as conflict arising from differing perspectives, varying levels of expertise, and potential misalignment of objectives. Effective leadership and robust communication strategies are essential to overcoming these barriers and maintaining team cohesion. Ultimately, cross-functional teams are instrumental in advancing technology management. By leveraging their dynamics strategically, organizations can achieve enhanced efficiency, foster innovation, and maintain a competitive edge in the rapidly evolving technological landscape. Future research should explore tools and frameworks to optimize these dynamics further, ensuring sustainable success in technology management.  
Keywords: Cross-Functional, Technology Management, Innovation Enhancement, Review.
Ten lessons for developing a health information website.
Authors: G. Ottmann; A. Street
Year: 2007

This paper outlines ten lessons derived from the development of a palliative care website, www.pallcarevic.asn.au. The following program elements contributed to the success of the project: (1) peer and stakeholder participation; (2) response to a significant need; (3) networking skills; (4) administrative skills; (5) mediation of conflicts; (6) project management skills; (7) sourcing of good evidence; (8) iterative evaluation involving users and stakeholders; (9) iterative expert evaluation; and (10) a well thought through sustainability strategy.
Application directions of artificial intelligence in software development technologies
Authors: Volodymyr Sokolov; V. Riabtsev; Oleksandr Uspenskyi; Danylo Kopych
Year: 2024

The article presents the results of a systematic analysis of the current state of application of artificial intelligence (AI) in software engineering (SW) based on the analysis of publications, assessment of AI capabilities, experience in its application, and conducted experiments. The conceptual foundations of the research were formed, which determine: perception of AI as a tool, not an individual of work; the main directions of its application are engineering and management; the subject of AI application is the processing of artifacts (synthesis and analysis) and obtaining consultations; the need to assess the quality of AI-derived products and analyze the risks of its use is emphasized. Directions of application of AI in management: agreement processes (development of product concept and contract), organizational processes (project group formation and selection of technologies) and project management (planning, risk management, control and analysis of project implementation) Directions of application of AI in engineering: requirements management, design, construction, testing and documenting. To systematize the analysis of AI application directions, a conceptual model was developed, which includes: the direction, subject, and mode of application of AI. The mode of application of AI: the format of the prompt (problem statement and set of input data), the required product and its type (finished product, prototype, template, solution options, information support), the role of AI (executor, co-author, consultant), form of AI interaction (external service, integration via API, integrated system or local autonomous system). A structure of derivative models was formed for the analysis of the application of AI in specific directions with an overview of the capabilities of the most effective AI tools. As conclusions, it was determined that in management, the most rational model of using AI is to receive consultations and prototypes of documentation when contacting external AI services, in engineering – creating prototypes of project solutions and documentation based on external services, using integrated AI systems for design and testing in co-authorship mode. The risks of using AI include the possibility of obtaining insufficiently detailed documentation, complex and confusing software artifacts, and errors in the software code. To reduce risks and increase the effectiveness of AI application, it is determined that constant quality control of its products and training based on corporate requirements and standards is required.
Amending schedule-cost coefficient correlation based on historical statistics
Authors: Yanqiong Liu; Yingwu Chen; F. Gao
Year: 2005

The schedule-cost correlation coefficient is usually estimated by experts in the spaceflight project management practice. This paper deduced the schedule distribution model considering the effect of the cost uncertainty. And then theoretically analyzed and demonstrated how to amend the schedule-cost correlation coefficient according to the historical statistics based on the conditional probability distribution functions between the schedule and the cost. A general rule was put forward to ascertain the value of of the schedule-cost correlation coefficient. This method was proved in analytical method. This work can correct the traditional subjective estimation method just according to the experts’ experiences and expertise.