Visual Programming Research Articles

Early design BIM-based Target Value Design for public facilities: An application to a healthcare facility case

The objective of this article is to develop an agile application based on BIM for the integration of Target Value Design into the design process, in order to offer a resource to support decision-making process from the early design stages. The research applies the operational research method by the methodological steps: (a) Identify input data sources and develop the input setup; (b) Develop BIM-based cost estimation of visual programming and apply program in one case; (c) Discussion of the potentialities and challenges of the proposed approach to outline the research findings. A direct link between cost estimation and BIM objects was created to promote Target Value Design in the design process through visual programming. The necessary agility was obtained through semi-automation of the process of incorporating the cost data within the parametric modelling family and extracting cost estimate totals from the model to a pre-defined spreadsheet, allowing the continuous updating of models.

Using a Physical Computing Project to Prepare Preservice Primary Teachers for Teaching Programing

The cultivation of computational thinking and programing education have gained prominence in K-12 education worldwide. Primary school teachers should be proficient in visual programing and using microcontrollers to teach programing courses. To cope with these trends, a learning activity was developed and implemented in Taiwan’s primary teacher education curriculum. The activity aimed to help preservice primary teachers learn about Scratch visual programing and micro:bit microcontroller boards by engaging in a physical computing project involving the design of an educational motion sensor game about energy. The results of the preliminary study found that the preservice primary teachers who participated in the activity were able to collaborate and develop motion sensor games suitable for primary school students. They also demonstrated significant improvements in their computational thinking concepts ( t(10) = 3.13, p < .05) and energy knowledge test scores ( t(10) = 2.74, p < .05). Furthermore, most participants expressed satisfaction with the activity, implying the activity’s feasibility for teacher education.

Toward improving student motivation and performance in introductory programming learning by Scratch: The role of achievement emotions.

This study investigated the differences in programming novices' intrinsic motivation and performance within a Scratch-based programming learning environment using a pretest-posttest intervention design. Specifically, this study aimed to examine what and how achievement emotions were aroused to impact learners' academic success during Scratch implementation processes by employing regression analyses. One hundred and seventy-two undergraduates (Mage = 20.44, SDage = 1.09, 55.8% female) were voluntarily recruited to participate in a Scratch-based instruction workshop during a 6-week period. The workshop was structured with regard to preparation, Scratch-based programming learning and projects, and assessment activities and questionnaire implemented both before the instructional period and after the workshop. The results suggested that the Scratch-based intervention significantly increased students' overall motivation and examination performance. Concerning achievement emotions, the outcome emotion of hopelessness first negatively predicted students' motivation and performance. Anxiety then replaced hopelessness as a negative predictor, while enjoyment was the strongest predictor of motives and performance. Taking eight emotions together, the arousal of activity and outcome emotions within visual programming environments facilitated students' emotion dynamics that impacted motivation and performance. The discussion and contributions concerning the mechanism behind the effectiveness of visualization and the emotion-performance relationship are presented herein.

Visual programming environment for multidimensional fuzzy interval-logic regulators

Visual programming environment for multidimensional fuzzy interval-logic regulators

Governance of Online Electronic Patient Medical Records Distribution

The distribution of medical records at Kebonjati Hospital, especially for patients who register online, still uses a manual system which can obstruct the data search process, therefore a computerized system is needed. This study aims to design an information system for distributing outpatient medical records for online patients. The research method is descriptive qualitative, data collected through interviews and case studies. The system development method uses the Agile Software Development method with the stages of planning, implementation, testing, documentation, deploying, and maintenance then implemented using Microsoft Visual Studio 2012 into the Visual Basic programming language. The research designed an information system for distributing outpatient medical records online at Kebonjati Hospital that had been adapted to the needs of medical recorders. This information system is in the form of applying the concept of clinical management by designing good services and developing quality work plans for hospital management purposes.

Facilitating difficult conversations through art: creating an anti-racism digital image library for health professions education

Racism has been recognised as a threat to patient outcomes, public health, and the healthcare workforce, and health professions (HP) educators and learners alike are seeking effective ways to teach anti-racism in HP education. However, facilitating conversations on race and racism in healthcare contexts can be challenging. Integrative arts and humanities approaches can engage learners in the critical dialogue necessary to educational interventions focused on anti-racism. Discussions of works of visual art, for instance, can leverage visual art as an avenue for indirection to balance introspection and revelation with psychological safety. Structured pedagogical frameworks that emphasise the perspectives and experiences of participants, such as the Visual Thinking Strategies approach, can lead to open-ended and collaborative discussions where participants can safely explore their assumptions in a space that encourages productive discomfort. Visual arts-based programs on anti-racism in HP are limited, though, in part because no collection of images exists to support HP educators in this endeavour. This paper describes the process of developing a digital image library to support HP educators seeking to generate discussions on race and racism as part of anti-racism curricula. We also highlight common themes, best practices, and potential pitfalls associated with use of the image library.

Perancangan Game Sederhana Perancangan Game Sederhana Menggunakan Scratch Programming Sebagai Media Pembelajaran Visual Bagi Anak Usia Dini

This study aims to design a simple game using Scratch Programming as a visual programming language learning media for early childhood. This article describes the implementation stages of game design and the evaluation of learning media carried out. The literature review reviews the advantages of Scratch Programming as a learning medium for children and previous related research. In the implementation of game design, game concepts are designed using Scratch Programming, and simple game examples are generated. Evaluation of learning media is carried out to collect evaluation data from participants using relevant methods. The results of the evaluation of learning media and the discussion of research findings provide information about the effectiveness of game design using Scratch Programming. The results of this study indicate that designing simple games using Scratch Programming can be an interesting and effective learning medium for young children in learning visual programming languages. The implication of this research is further development in game design and the use of visual programming languages in early childhood education. Suggestions for further research are to involve more participants and explore more complex programming concepts.

Analysis of Learning Needs for Visual Communication Design Students for the Latest Graphics Teaching Materials

This research aims to analyze the learning needs of students in the Visual Communication Design Program in developing teaching materials for the latest graphics topics. The research methods employed include qualitative and quantitative descriptive analysis methods. The research steps involve identifying learning needs through data collection, data analysis, and the interpretation of graphic learning materials, through interviews, observations, questionnaires, and literature review. The findings of this research will provide comprehensive insights into students' perspectives and preferences regarding the Graphics course. The collected data will be used to support the development of teaching materials that are more aligned with students' needs and relevant to current industry trends. This research is expected to make a significant contribution to improving the quality of education in the Visual Communication Design Program and preparing students to face the challenges in the ever-evolving world of graphic design. The research shows that students need teaching materials on graphic topics that are easy to understand, contain the latest and industry-relevant content, and have clear and engaging visualizations. Based on these findings, the researcher suggests that the development of graphic teaching materials should prioritize students' learning needs as the primary target.

Deep Learning for the Segmentation of Large-Scale Surveys of Historic Masonry: A New Tool for Building Archaeology Applied at the Basilica of St Anthony in Padua

ABSTRACT In the last decade, the documentation of historical buildings has made tremendous progress in generalising the use of high-precision laser scanning and drone photogrammetry. Yet the potential of digital surveying is not fully exploited due to difficulties in manually analysing large amounts of collected data. Machine learning offers immense potential as a game-changer in building archaeology, especially for the documentation of structures composed of millions of units. This paper presents the first segmentation of large-scale surveys of historic masonry using machine learning, using the thirteenth-century Basilica of St Anthony (Padua, Italy) as a case study. Based on a drone survey of the north façade of the building (110 × 70 m), a state-of-the-art non-learning segmentation approach is described and its limitations for historical structures are illustrated. Then, a new workflow based on convolutional neural networks (CNN) is presented. The result is a precise mapping of about 300,000 individual bricks showing a large variety of formats and bonds. The automatic surveys are analysed using visual programming language (VPL), enabling a rapid and feature-based identification of building phases and repair interventions. The outcome demonstrates the validity of machine learning for the analysis of historical structures and its potential in the field of heritage.

A Bibliometric Study on Buruli Ulcer Based on the Web of Science Database.

Buruli ulcer is caused by Mycobacterium ulcerans, a skin infection that occurs mostly in people living in the developing economies of Africa and is considered a neglected tropical disease by the World Health Organization (WHO). Left untreated, it can lead to chronic wounds and loss of limbs. This disease is one of the target diseases of the WHO, and there are very limited bibliometric studies published on this subject. Also, no similar study using the Web of Science Core Collection was found in the available literature. The aim of this study was to evaluate the bibliometric analysis of the literature on Buruli ulcers. For data visualization and analysis, the open-source visualization program Biblioshiny (version 2.0) was used. Although most publications are from Ghana, the United States, and European countries have also made significant contributions. The number of publications has increased especially since 2016. The most preferred keywords in the publications were treatment, diagnosis, and transmission routes. This is the first bibliometric analysis that examines the trend of scientific publications on Buruli ulcer that have been indexed in the Web of Science. Our findings have the potential to be used by academics to improve their research.

ANALISIS SEGMENTASI PELANGGAN BERBASIS MODEL RECENCY FREQUENCY DAN MONETARY (RFM) MENGGUNAKAN ALGORITMA K-MEANS

Business development is currently growing very rapidly, with the development of internet technology that can facilitate all business activities. Increasing business development has an impact on presenting new business competitors, so companies need strategies that are able to maintain customer quality. This study aims to segment customers from the company's sales transaction data, with a large number of transactions, technology is needed to group a data so that the method used in this study is a data mining method and uses the K-Means algorithm. With the K-Means Algorithm, it can help in grouping customers to make it easier for companies to strategize each customer group. This customer grouping uses an initial model of Recency, Frequency and Monetary (RFM) to help calculate customer groups. Data mining evaluation was carried out using Silhouette Coefficient with test results using Visual Studio Code software python programming language, The results of this study selected 3 clusters consisting of Low Loyalty totaling 137 customers, Medium Loyalty totaling 1636 customers and Highest Loyalty totaling 2395 customers.

PyProtif: a PyMol plugin to retrieve and visualize protein motifs for structural studies.

Proteins often possess several motifs and the ones with similar motifs were found to have similar biochemical properties and thus related biological functions. Thereby, multiple databases were developed to store information on such motifs in proteins. For instance, PDBsum stores the results of Promotif's generated structural motifs and Pfam stores pre-computed patterns of functional domains. In addition to the fact that all this stored information is extremely useful, we can further augment its importance if we ought to integrate these motifs into visualization software. In this work, we have developed PyProtif, a plugin for the PyMOL molecular visualization program, which automatically retrieves protein structural and functional motifs from different databases and integrates them in PyMOL for visualization and analyses. Through an expendable menu and a user-friendly interface, the plugin grants the users the ability to study simultaneously multiple proteins and to select and manipulate each motif separately. Thus, this plugin will be of great interest for structural, evolutionary and classification studies of proteins.

TATA KELOLA REKAM MEDIS ELEKTRONIK BERBASIS TEKNOLOGI INFORMASI DALAM PELAPORAN PASIEN IGD DENGAN METODE AGILE

This system functions to record daily, monthly, and yearly censuses without changing the performance of the computer used because the data is stored using cloud storage. The purpose of this study was to determine the governance of information technology-based electronic medical records in reporting emergency department patients using the Agile method. The recording of daily, monthly, and yearly censuses in the emergency room at Hermina Arcamanik Hospital in Bandung is not optimal due to frequent problems with the local area network (LAN); computers often hang or freeze, and the system has not been updated. Currently, the recording of daily, monthly, and yearly sensors still uses the Visual Basic program, which has the concern that it requires a very large amount of memory during the installation process. Management of information technology-based electronic medical records in reporting emergency department patients using agile methods The agile method used in the development of this program is feature-driven development (FDD). The system that has been made is tested using the black-box testing method. This program only focuses on completing a certain program and produces medical record management for reporting emergency department patients based on information technology in order to speed up the work process and minimize the occurrence of device errors.

Development of Visual Identity for Branding Strategy Improvement of Hanjeli Tourism Village in Sukabumi Regency

This Community Service Activity was motivated by the emergence of the need for a visual identity from a new tourist village located in Waluran Village, Waluran District, Sukabumi Regency, West Java. The PKM activity carried out by the Student Team and Lecturers of the Visual Communication Design Study Program at the Indonesian University of Education carried out branding design activities in the form of developing a visual identity for a new tourist village. Its development is directed through design methods by student groups, the output of which is in the form of a visual identity as the basis for the development of tourism promotion. This branding design is an attractive effective branding strategy to improve the image of the Hanjeli Tourism Village in Waluran Wandiri Village, Waluran District, Sukabumi Regency through various promotional media, both social media and websites.

Parametric BIM-based life cycle assessment framework for optimal sustainable design

The construction sector is liable for a sizable amount of CO2 emissions and waste. Life Cycle Assessment (LCA) is considered one of the crucial tools that aids in evaluating the impacts of construction emissions. This research aims to quantify the life cycle impacts of the initial and recurrent embodied emissions, operating and reuse/disposal emissions, and utilizing Building Information Modeling (BIM) for a more holistic life cycle approach. The research proposes a parametric BIM-based LCA framework for quantifying the environmental impacts and evaluating the effects of material selection for both embodied and operating emissions. In addition, it considers the different reuse scenarios and percentages and their effect on both the embodied and operating impacts. The proposed framework consists of five main modules: data acquisition module, operating and embodied emissions module, life cycle assessment module, optimization module, and decision-making module. This parametric assessment can be applied for both the conventional and circular approach impacts. For the decision-making process, the resulting emissions are optimized utilizing the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and evaluated through an LCA and Data Envelopment Analysis (DEA) methodology for the material selection. A case study of a residential villa in Cairo is worked out to illustrate the key features of the proposed framework. This assessment analyzes the building materials’ characteristics and efficiency investigating the external walls, internal walls, floors, roofs, and windows design possibilities, and uses visual programming to control the resulting emissions for a more flexible approach. By comparing the integrated LCA and DEA models three optimum design solutions, the conventional approach develops design solutions of higher embodied Global Warming Potential (GWP) than the circular approach. However, it develops lower operating GWP with better applied U-values. The circularity approach employment has reduced the efficiency of the operating GWP due to utilizing materials with high heat transmittance ability.

A Computer Programming-Based Digital Artifact to Introduce Axial Symmetry in Primary School: An Instrumental Approach

In this paper, we describe an educational activity involving the use of a digital artifact, implemented in a visual programming environment, for mediating the learning of axial symmetry in primary school through algorithmics and computer programming. The educational activity was designed with the aim of bringing out increasingly “advanced” utilization schemes and solving strategies by students. We use an instrumental approach for analyzing how the systematic and intentional choice of technological artifacts and tools, i.e. the instrumental orchestration, guided instrumental genesis by the students. The analysis of the case study of Arianna seems to show how her evolution of utilization schemes is related both to the emergence of increasingly time and effort efficient strategies and to a growing understanding of the functionality of the visual programming environment.

Sinteză cu privire la aspectele generale de studierea programării vizuale în învățământul preuniversitar

The tools and platforms for visual programming have become popular worldwide, and many educational institutions are integrating them into the school curriculum to familiarize students with programming and computational thinking. This contributes to preparing students for the constantly evolving digital world and helps them become active and competent citizens in the technology era. The proposed research aims to conduct an analysis of educational policies regarding the implementation of visual programming, both in schools in the Republic of Moldova and in education systems of other countries such as Romania, the United Kingdom, Estonia, or Spain. Aspects to be analyzed include established competencies, educational levels at which visual programming is introduced, programming languages and platforms used, as well as available resources. The goal of this analysis is to identify the experiences, approaches, and best practices used in the reference countries regarding the integration of visual programming in pre-university education. It also aims to propose concrete suggestions for improving the study of visual programming in the Republic of Moldova. These suggestions include recommendations for the curriculum, educational resources, and teacher training to ensure proper preparation of students in the field of visual programming. Visual programming plays a significant role in developing digital skills and computational thinking in students, providing them with the opportunity to express their creativity, learn essential technological skills, and develop logical and systematic thinking.

Augmented Reality Based Visual Programming of Robot Training for Educational Demonstration Site

Augmented Reality Based Visual Programming of Robot Training for Educational Demonstration Site

Rapid IoT Prototyping: A Visual Programming Tool and Hardware Solutions for LoRa-Based Devices.

LoRa technology has gained popularity as one of the most widely used standards for device interconnection due to its ability to cover long distances and energy efficiency, making it a suitable choice for various Internet of Things (IoT) monitoring and control applications. In this sense, this work presents the development of a visual support tool for creating IoT devices with LoRa and LoRaWAN connectivity. This work significantly advances the state of the art in LoRa technology by introducing a novel visual support tool tailored for creating IoT devices with LoRa and LoRaWAN connectivity. By simplifying the development process and offering compatibility with multiple hardware solutions, this research not only facilitates the integration of LoRaWAN technology within educational settings but also paves the way for rapid prototyping of IoT nodes. The incorporation of block programming for LoRa and LoRaWAN using the Arduinoblocks framework as a graphical environment enhances the capabilities of the tool, positioning it as a comprehensive solution for efficient firmware generation. In addition to the visual tool for firmware generation, multiple compatible hardware solutions enable easy, economical, and stable development, offering a comprehensive hardware and software solution. The hardware proposal is based on an ESP32 microcontroller, known for its power and low cost, in conjunction with an RFM9x module that is based on SX127x LoRa transceivers. Finally, three successfully tested use cases and a discussion are presented.

Visual Programming as Modern and Effective Structural Design Technology—Analysis of Opportunities, Challenges, and Future Developments Based on the Use of Dynamo

This study is dedicated to technology based on visual programming as a modern tool to support the design of building structures. It provides a brief background describing the computerization of design and discusses design-aided systems and the concept and tools of visual programming. The principles of the Visual Programming Language (VPL) are presented in detail. The programming and design environments used in the architecture and construction industry are presented. Dynamo, one of the VPL-based programs applicable to structural design, was used in the study. In order to best demonstrate and explore the capabilities of this environment, examples of the practical application of visual programming in structural design are presented. Both simple and more complex structures have been designed and discussed in detail. The integration of Dynamo with computational systems is also presented. A broad discussion was held on the possibilities of using visual programming in structural design, the problems and challenges, and the directions of its development in the architecture and construction industry.