derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Simulation Modeling Usage in the Information System for the Technological Systems Project Management
Authors: P. Lub; A. Tryhuba; R. Padyuka; S. Berezovetskyi; R. Chubyk
Year: 2023

The expediency of developing and using information systems to support decision-making in harvesting projects is described. The main elements of this information system and the processes that should be taken into account to obtain reliable modeling results, and therefore the development of recommendations for the management of technological systems projects, are revealed. The peculiarities of the impact of the project environment on the start dates and duration of works performed in these projects are described. The importance of taking into account the influence of the subject component in the information system is determined, which will make it possible to objectively assess the conditions of work in projects (the rate of cultivation and the impact of agro-meteorological conditions) and take into account time restrictions on the use of technical equipment of projects. The results of the use of the information system, in particular the block of simulation modeling, for evaluating the performance indicators of works in projects are given. Emphasis is placed on the expediency of simulation modeling of works in projects taking into account the probabilistic conditions of the functioning of technical equipment. Simulation of works in projects with given initial data on technical equipment (Mekosan Tecnoma Laser4240-30 high-clearance sprayer and CLAAS Mega 360 harvester), time of the start of works, limits of its production area and crop type was carried out. The results of determining the influence of the main components of crop harvesting projects on the performance indicators of their implementation are presented. The simulation was performed for the specified limits of the production area of winter rape - 10-500 hectares with a step-by-step increase of 10 hectares. The regularities of changes in the main indicators of work efficiency in projects, taking into account the stochastic influence of the project environment.
Project management decisions using fuzzy linear programming
Authors: Tien-Fu Liang
Year: 2006

This work presents an interactive fuzzy linear programming (FLP) approach for solving project management (PM) decision problems in a fuzzy environment. The proposed approach attempts to minimize total costs with reference to direct, indirect and penalty costs, durations of activities, specified project completion time and total allocated budget. A numerical example demonstrates the feasibility of applying the proposed FLP approach to actual PM decision problems. Accordingly, the proposed approach yields an efficient solution and determines the overall degree of decision maker (DM) satisfaction. Moreover, the proposed approach offers a systematic framework that facilitates the decision-making process, enabling a DM to interactively modify the range of the results when the environment data are vague until a satisfactory solution is obtained. In particular, several significant characteristics of the proposed FLP approach are elucidated in contrast to those of the main PM decision methods.
Using Machine Learning CART Decision Trees for Predicting the Causes of Delays in Projects from the Construction Industry
Authors: João Alexandre Lobo Marques; Chun Fung Ka; Bruno Riccelli
Year: 2024

Construction projects are complex endeavours, with potential obstacles that can cause delays which can have particularly profound implications potentially impacting on company’s financial health, business continuity and reputation. It is becoming increasingly recognised that delays are context-specific and multifaceted, requiring more industry-oriented perceptions. This work proposes the exploratory use of Machine Learning based on Classification and Regression Trees (CART) Decision Trees (DT) to assess the predictive analysis of these approaches, considering surveys (primary data) collected from 100 specialists with different backgrounds and experiences in the construction industry. Survey responses are discussed, followed by the CART DTs, which are used as predictor for clarifying underneath relationship among different variables in a project environment. The major issue presented is related to Project Design, with “The firm is not allowed to apply for an extension of contract period”, with two possible predictors, firstly, as the main factor it is found “Mistakes, inconsistencies, and ambiguities in specification and drawing”, while other aspect highlights “Poor site supervision and management by the contractor”. The results indicate that the correct use of Artificial Intelligence techniques with relevant data are potential tools to support the analysis of scenarios and avoidance of project delays in Project Management.
Sistem Informasi Manajemen Terhadap Kinerja Organisasi (A Literatur Review)
Authors: Mahyadi Mahyadi
Year: 2023

Peningkatan kinerja organisasi dimasa yang akan datang membutuhkan teknologi informasi yang tidak hanya berfungsi sebagai sarana pendukung melainkan sebagai senjata utama untuk menunjang keberhasilan pelayanan kepada masyarakat untuk dapat memberikan yang terbaik.Keberadaan dan peran informasi teknologi dalam sistem kerja telah membawa era baru dalam perkembangan dunia kerja, namun perkembangan tersebut belum diimbangi dengan peningkatan sumber daya manusia yang menentukan keberhasilan kinerja pegawai di suatu instansi pemerintah. Systematic Review ini disusun berdasarkan Preferred Reporting Items for Systematic Reviews, full text article dan menggunakan bahasa Inggris dan Bahasa Indonesia. Kata kunci yang digunakan pada pencarian artikel adalah “Management information system” AND “Organizational performance”. Dengan adanya sistem informasi manajemen yang baik, perusahaan dapat mengelola data dan informasi dengan lebih efisien dan efektif, memungkinkan pengambilan keputusan yang lebih baik dan lebih cepat. Hal ini dapat membantu organisasi untuk meningkatkan produktivitas, mengurangi biaya operasional, dan mempercepat waktu respons terhadap perubahan pasar atau lingkungan bisnis. Selain itu, sistem informasi manajemen juga dapat membantu dalam pengelolaan sumber daya manusia, manajemen inventaris, manajemen proyek, dan pemantauan kinerja karyawan.
PERANCANGAN SISTEM INFORMASI PEMBAYARAN SPP PADA MDTA HIDAYATUL MUSLIMIN DENGAN PENDEKATAN MANAJEMEN PROYEK SISTEM INFORMASI
Authors: Andi Praja; Yahfizham Yahfizham
Year: 2024

Penelitian ini bertujuan untuk membahas bagaimana perancangan sistem informasi pembayaran SPP dengan menggunakan pendekatan manajemen proyek sistem informasi dapat meningkatkan efisiensi dan efektivitas proses pembayaran SPP di MDTA Hidayatul Muslimin. Dalam penelitian ini, metode yang digunakan adalah kualitatif, di mana hasilnya merupakan sistem informasi pembayaran SPP yang dirancang berdasarkan permasalahan terkait proses pembayaran, waktu pembayaran, dan pembuatan laporan pembayaran. Dengan demikian, sistem tersebut diharapkan dapat memberikan transparansi terkait pembayaran SPP, mulai dari tagihan SPP, riwayat pembayaran hingga rekapitulasi laporan.
Goal Driven Iterative Software Project Management
Authors: Yves Wautelet; Manuel Kolp
Year: 2011

Iterative development has gained popularity in the software industry notably in the development of enterprise applications where requirements and needs are difficult to express for the users and business processes difficult to understand by analysts. Such a software development life cycle is nevertheless often used in an ad-hoc manner. Even when templates such as the Unified Process are furnished, poor documentation is provided on how to breakdown the project into manageable units and to plan their development. This paper defines a template for agent-oriented iterative development as well as a software project management framework to plan the project iterations. The agent paradigm is used at analysis level with actors’ goals considered as piecing elements, an iterative template is proposed for planning purpose. High-level risk and quality issues focus on prioritizing the project goals so that each element’s “criticality” can be evaluated and a model-driven schedule of the overall software project can be set up. The software process is illustrated with the development of a production planning system for a steel industry.
Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
Authors: J. Steiner; Erica Blum-Barnett; Betsy Rolland; C. Kraus; J. Wainwright; Ruth Bedoy; Y. T. Martinez; E. Alleman; Roxy Eibergen; L. Pieper; Nikki M. Carroll; Brian P. Hixon; A. Sterrett; K. Rendle; C. Saia; A. Vachani; D. Ritzwoller; A. Burnett-Hartman
Year: 2023

Abstract Research is increasingly conducted through multi-institutional consortia, and best practices for establishing multi-site research collaborations must be employed to ensure efficient, effective, and productive translational research teams. In this manuscript, we describe how the Population-based Research to Optimize the Screening Process Lung Research Center (PROSPR-Lung) utilized evidence-based Science of Team Science (SciTS) best practices to establish the consortium’s infrastructure and processes to promote translational research in lung cancer screening. We provide specific, actionable examples of how we: (1) developed and reinforced a shared mission, vision, and goals; (2) maintained a transparent and representative leadership structure; (3) employed strong research support systems; (4) provided efficient and effective data management; (5) promoted interdisciplinary conversations; and (6) built a culture of trust. We offer guidance for managing a multi-site research center and data repository that may be applied to a variety of settings. Finally, we detail specific project management tools and processes used to drive collaboration, efficiency, and scientific productivity.
Quality evaluation of information technology project - A multicriteria approach
Authors: L. C. Silva; A. Costa
Year: 2012

This paper presents a multicriteria methodology aimed at evaluating the quality of information technology (IT) projects. This assessment is derived from expert judgments regarding some aspects that are critical to project management. These criteria were obtained through a literature review and a questionnaire. For the development of this assessment fuzzy logic and multicriteria method SMARTS were used. In order to illustrate the application of the model a numerical example based on a hypothetical case is presented.
Managing North-South Research Collaboration Projects During the COVID-19 Pandemic: An Empirical Study
Authors: Sulayman K. Sowe; Mirco Schoenfeld; C. Samimi; Petra Steiner; Anke Schürer-Ries
Year: 2022

Researchers from the Global North and South have collaborated for decades to conduct cutting-edge interdisciplinary research. The tools they used to manage their research projects remained virtually unchanged until the COVID-19 pandemic outbreak early in 2020. Since then, a lot has changed, including the nature and dynamics of research collaboration. How are researchers and project managers adapting to this change? Survey data, semi-structured interviews, and personal accounts from 102 respondents from 33 countries are used in this empirical study to investigate the impact of the pandemic on research collaboration projects. An independent non-parametric t-test revealed a significant difference in the research collaboration infrastructure and home environment between Global North and global South collaborators. The findings have practical implications for people involved in collaborative research projects, funding agencies, project management professionals, and universities interested in pursuing or sustaining North-South research collaboration during the pandemic.
RAD-UCD Implementation in Project Management Information System
Authors: Widyasari Puspa Permata Witra; Indra Gita Anugrah; Sukma Uli Nuha; Nugroho Setyo Wibowo; D. Utomo
Year: 2024

This study discusses the implementation of Rapid Application Development (RAD) and User-Centered Design (UCD) methods in developing project management information systems for small and medium-scale projects. Using interviews and direct trials by project managers, project team members, and clients, this study aims to understand the extent to which these two methods can improve development efficiency and user satisfaction. The results show that the RAD method accelerates the development process through flexible iterations, while UCD ensures that the resulting system is in accordance with user needs. Project managers reported increased transparency in monitoring progress, team members appreciated features that supported coordination, and clients felt more connected to project developments in real time. The combined implementation of RAD and UCD proved effective in creating a responsive, efficient, and user-friendly project management system to meet the needs of small and medium projects.
MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output
Authors: Christian Girardi; L. Bentivogli; M. Amin Farajian; Marcello Federico
Year: 2014

MT-EQuAl (Machine Translation Errors, Quality, Alignment) is a toolkit for human assessment of Machine Translation (MT) output. MT-EQuAl implements three different tasks in an integrated environment: annotation of translation errors, translation quality rating (e.g. adequacy and fluency, relative ranking of alternative translations), and word alignment. The toolkit is webbased and multi-user, allowing large scale and remotely managed manual annotation projects. It incorporates a number of project management functions and sophisticated progress monitoring capabilities. The implemented evaluation tasks are configurable and can be adapted to several specific annotation needs. The toolkit is open source and released under Apache 2.0 license.
Influencing factors of sustainable highway construction
Authors: Nelda Maelissa; M. A. Rohman; I. Putu; Artama Wiguna
Year: 2023

The triple bottom line, which consists of the three pillars of the environment, society, and economy, must be balanced to achieve sustainable development. Integrating social, economic, and environmental aspects in construction projects is still a challenge. The construction industry tends to use non-renewable and unsustainable resources with energy values contained therein. One of the infrastructures that need to be considered in the concept of sustainable development is highway infrastructure. Highway infrastructure projects are quite complex because they involve a lot of resources, require a wider location, and significantly impact the community and the government. Environmental, social, and economic issues are just a few of the persistent issues that frequently surface during highway construction. Common environmental difficulties include water and energy consumption, road landscape issues, and wildlife conservation. Social issues are common in road projects and include issues with land acquisition, relocation, and worker comfort. Instead, bid prices and production costs that are elevated as a result of the usage of eco-friendly materials could cause economic issues. This study aims to investigate the TBL factors that influence the construction of sustainable roads and highways. A literature study is carried out by searching articles related to sustainable road projects. There are seven factors and 29 sub-factors for sustainable highway development, according to the literature review. Technology, project management, ecology, materials, government, community, and value system are the seven factors. These seven elements all contribute significantly, are interrelated, and are necessary for the realization of a sustainable highway.
The emergence of prioritisation systems to inform plant health biosecurity policy decisions.
Authors: A. MacLeod; S. Lloyd
Year: 2020

The management of risk is fundamental to biosecurity. Potential pest risks must be recognised early, with appropriate measures taken to prevent or reduce the potential damage a non-native species can cause. Risk registers are a recognised tool to support risk management, especially in project management or governance of corporate risk. The use of risk registers and risk prioritisation systems in the plant health biosecurity sphere has emerged in recent years driven by the recognition that resources to assess pest risks in detail are scarce, and biosecurity actions need to be targeted and prioritised. Individual national plant protection organisations have consequently developed a variety of tools that prioritise and rank plant pests, typically taking likelihood of pest entry, establishment, spread and impact into account. They use expert opinion to give scores to risk elements within a framework of multi-criteria decision analysis to rank pests based on the prioritisation aims of users. Knowing that biosecurity extends beyond national borders we recognise that such systems would add value to global efforts to detect and share information on emerging pests to better target actions against pests to protect plant biosecurity.
PIVoT: Project insights and Visualization Toolkit
Authors: V. Sharma; Vikrant S. Kaulgud
Year: 2012

An in-process view into a software development project's health is critical for its success. However, in services organizations, a typical software development team employs a heterogeneous set of tools based on client requirements through the different phases of the software project. The use of disparate tools with non-compatible outputs makes it very difficult to extract one coherent picture of the project's health and status. Existing project management tools either work at the process layer and rely on manually entered information, or are activity centric, without a holistic view. In this paper, we present PIVoT, a metric-based framework for automated, non-invasive, and in-process data collection and analysis in heterogeneous software project environments, that provides rich, multi-dimensional insights into the project's health and trajectory. Here, we introduce the different analyses, insights and metrics, and discuss their usage in typical software projects.
A Framework to Integrate Building Information Modelling to the Curriculum of the Quantity Surveying Undergraduate Degree Programme in Sri Lanka
Authors: W. M. Y. S. Wijekoon; W. N. Kawmudi
Year: 2024

One of the primary sectors that contributes to the national economy of the country is the construction industry. The Quantity Surveyors (QS), offer specific expertise in project management and cost estimation. A revolutionary change is occurring in Sri Lanka (SL)’s construction industry due to the increasing demand for innovative technologies such as Building Information Modeling (BIM). But the Sri Lankan construction industry has been remarkably lagging in adopting these cutting-edge techniques. According to past SL research findings, one of the main obstacles in BIM integration among QS professionals is a severe knowledge gap. By involving BIM approaches into QS education this research aims to develop a framework to implement BIM within the curriculum of quantity surveying undergraduates according to the industrial demand in SL. This paper focuses on the potential difficulties of integrating BIM into SL’s QS curriculum, where graduates may fulfill industry expectations. This research used questionnaire survey, semi- structured interviews for both academic and industrial QS professionals separately, and conducted existing university QS curriculum review to gather data. Purposive sampling is used as the sampling technique and this study uses a mixed-method approach to research, combining qualitative and quantitative evaluations, and analyzes data using descriptive statistics and content analysis. According to data gathered from industrial professionals, it was proved that SL construction industry does not widely use BIM and have a huge demand on knowledgeable BIM of QS in the current industry. Most of the knowledgeable BIM personnel gain knowledge from self-learning and by following some extra courses. Professionals with an academic background proved, that the current QS curriculums are outdated. As a solution, this research develops the framework to integrate BIM to the QS curriculum of the undergraduate degree programmes in SL. A framework suggestion is to be incorporated into the curriculum was the outcome of the researcher's reflections on the interview results. These results contribute to the growth and development of the Sri Lankan construction industry by knowledgeable QS professionals, thereby fostering the advancement of the Sri Lankan construction industry.
The Effective Management of Remote Higher Education Curriculum Design Teams Using Scrum
Authors: Eugenie Wolff; L. V. Ryneveld
Year: 2024

Objective: This paper reports on the value of using Scrum as agile project management framework to support curriculum design practitioners in leading remote academics through times of change. 
  
Theoretical Framework: Among the many agile project management approaches, Scrum was selected as project management framework given its emphasis on transparency, inspection and adaptation. 
  
Method: An exploratory case study design was used to conduct this research. One project manager, three curriculum design practitioners and seven academics participated in the study. Qualitative data gathering techniques included, a contemporary reflexive journal, reflective email interviews, small group interviews and individual interviews. 
  
Results and Discussion: The findings suggest that Scrum guides managers to partner with stakeholders to establish project processes and priorities, encouraging consultative management. In addition, the participating curriculum design practitioners, reported (1) more frequent and goal-directed communication, (2) structured and transparent coordination and (3) enriching collaboration practices that lead to individual empowerment, despite teams being geographically distributed. 
  
Research Implications: The study provides practical guidelines for implementing Scrum as an educational management framework for remote curriculum design teams. 
  
Originality/Value: This study contributes to the limited literature available on the management of higher education support services teams by revealing the lived experiences of various role players and the positive impact of implementing Scrum. Detailed methodological strategies are explained which could assist other higher education institutions with implementation and further research on agile project management strategies to lead their teams.
Exploring Freely Available Data Tools to Support Open Data and Open Science
Authors: Christine Nieman Hislop; Katie Pierce Farrier; Elizabeth Roth
Year: 2024

ABSTRACT Librarians support researchers by promoting open science and open data practices. This article explores five freely available tools that support and facilitate open science practices. Open Science Framework provides a platform for project management, data sharing, and data storage. OpenRefine cleans and formats data. DMPTool has templates for data management and sharing plans that comply with funder mandates. The NIH Common Data Elements is a repository for standardized data elements, and finally, the NLM Scrubber is a tool for de-identifying clinical text data. Information professionals can add these tools to their repertoire and share them with researchers at their institution.