bluuebunny/crossref_metadata_2025 huggingface dataset:
Kemampuan Komunikasi Matematis Ditinjau dari Self-Efficacy Siswa
Authors: Rapsanjani Dikri Maulana , Sritresna Teni
Published: June 2022

Mathematical communication skills need to be owned by students. However, the achievement is still relatively low. That is related to students' self-efficacy. This study was conducted to analyze students' mathematical communication skills in terms of self-efficacy. The type of research used is qualitative research. This research was conducted in a village in Garut district with the research subjects being three grade IX junior high school students who were randomly selected. Data collection techniques in this study were test results data, questionnaires, and interviews. The results showed that there was a relationship between mathematical communication skills and students' self-efficacy. Students with high self-efficacy are better than those with moderate and low self-efficacy in mastering mathematical communication skills.
Kemampuan Komunikasi Matematis Siswa dengan Pembelajaran Kooperatif Tipe Group Investigation dan Team Quiz Ditinjau dari Kemandirian Belajar
Authors: Anggraeni Nenden Saniyyah , Sundayana Rostina
Published: June 2022

The importance of mathematical communication skills is the background of this research. An appropriate learning model is needed to improve mathematical communication skills, such as the Group Investigation and Team Quiz cooperative learning models. The purpose of the study was to examine the differences in students' mathematical communication skills with the two learning models. The research is a quasi-experimental design with a nonequivalent control group design. The population is all students of class X of one of the SMK in Garut, with a sample of two classes. The instrument is in the form of a mathematical communication ability test and a student learning independence questionnaire. The results showed that the difference in students' mathematical communication skills in the two classes only occurred in moderate learning independence. As for the upgrade quality, for the Group Investigation class, all the upgrade qualities have a moderate interpretation. As for the Team Quiz class, in terms of low and medium learning independence, it has a low interpretation, while for high learning independence it has a medium interpretation.
Stage of Cognitive Mathematics Students Development Based on Piaget's Theory Reviewing from Personality Type
Authors: Sugianto Rahmad , Darmayanti Rani
Published: June 2022

This study aims to examine the suitability of Piaget's stage of cognitive development in terms of personality type for class X students of SMA Wachid Hasyim 2 Taman. The subjects of this study were 25 students with ages between 12 to 16 years. This study uses the Test of Logical Operations (TLO) instrument in mathematics and the Myers-Briggs Type Indicator (MBTI) test. The TLO consists of 14 questions and students are given 45 minutes to answer all questions, while the MBTI contains 60 statements and students are given 30 minutes to give statements that match their personality. The results showed that 28.5% of students were extroverted in the early concrete operations stage and 71.5% in the late concrete operations stage. While 27.2% of students were introverted at the initial concrete operation stage and 72.8% at the final concrete operation stage. The average score of Piaget's TOL has the same value for extroverted and introverted students, namely 47, which means that the average student tends to be in the final concrete stage. The difference in understanding between the average extroverted and introverted students in the compatible type, where the average extrovert student has high understanding while introverted students have sufficient understanding.
Eksplorasi Etnomatematika pada Cerita Rakyat
Authors: Nova Icmi Santry , Putra Aan
Published: June 2022

The importance of real-life contexts in learning mathematics is because most students have difficulty in applying mathematics to everyday life. Culture is one of the media in learning. Indonesia is famous for its cultural diversity, one of which is folklore. This study aims to conduct a literature review related to Ethnomathematical Exploration in folklore. The research method used is the SLR (Systematic Literature Review) method. Data collection techniques were carried out by documenting all articles that had similar research to this research report. The articles used in this study were 7 articles of accredited national journals compiled from Google Schoolar. Based on several reviewed articles, it was concluded that specifically, there was only 1 article that used folklore to explore mathematical elements. It can be said that the integration of folklore in mathematics learning is still very little, so further research is needed to add the novelty of ethnomathematics to folklore.
Penyelesaian Soal Cerita pada Siswa Diskalkulia ditinjau dari Teori Bruner dengan Metode Drill
Authors: Diva Sadana Aura , Purwaningrum Jayanti Putri
Published: June 2022

Some elementary school students have learning difficulties. Dyscalculia is a student's inability to count. Thus, efforts that can be made by teachers are to use theories and learning methods that lead to the cultivation of concepts that involve student activity. The theory in question is Bruner's Theory with the Drill Method. According to Bruner, learning is an active process that allows humans to explore things that they consider new. While the Drill Method is a presentation of material that is carried out repeatedly. So the purpose of this paper is to add insight into the application of Drill-assisted Bruner Theory for dyscalculia students. The writing method used is a literature review on dyscalculia, Bruner's theory, and the Drill Method. Learning that can involve student activity, especially for dyscalculia students who have difficulty in counting. The use of Bruner's theory with the help of concrete objects with the Drill method will make it easier for students to learn, especially solving story problems in the Multiplication material.
Pengembangan Media Pembelajaran Berbasis Video Animasi pada Materi Penyajian Data
Authors: Farida Cici , Destiniar Destiniar , Fuadiah Nyiayu Fahriza
Published: June 2022

This study aims to produce an Animation Video-based Learning Media product on data presentation material that is valid, practical and has good effectiveness on student learning outcomes. This study uses the Research and Development model with 10 stages, namely potential and problems, data collection, product design, design validation, design revision, product testing, product revision, usage trial, product revision and mass production. The object of research is an animated video-based learning media in class VII data presentation material. The results of this study are in the form of animated video-based learning media which have advantages such as presenting the material displayed using animated media so that in addition to being easy to read, it is also more interesting to help the online and face-to-face learning process. Based on the analysis of animated video-based learning media on the data presentation material for class VII, the results obtained from aspects of validity, aspects of practicality and aspects of effectiveness. a) aspects of validity obtained very valid criteria based on the assessment of the validator with a total average score of 93%; b) practical aspects obtained practical criteria based on student response questionnaires with an average score of 86%; c) aspects of effectiveness on student learning outcomes with good criteria based on learning outcomes tests with a percentage of completeness of 81.8%.
Peningkatan Prestasi Belajar Matematika Siswa dalam Pembelajaran Jarak Jauh Berbasis Video
Authors: Elyana Dian , Wulandari Andhika Ayu , Mulyani Ori Bandiningaih Tri
Published: June 2022

Information and Communication Technology can be used to create a more interesting learning media during distance learning. Interesting learning media such as videos are indispensable in distance learning. This study aims to improve mathematics learning achievement in video-based distance learning. The research subjects were students of class XII social studies at a high school in Tawangsari. This research method is classroom action research. Data collection techniques are carried out by giving tasks before and after the action. The action consists of two cycles, namely cycle 1 and cycle 2. Each cycle consists of four stages, namely planning (planning), implementing (acting), observing (observing), and reflecting (reflecting). The results showed that in cycle 1 the average score was 82.11 and in cycle 2 an average score was 87.51, so there was an increase in learning achievement from cycle 1 to cycle 2. Video-based distance learning was proven to improve learning achievement. student.
Peran Disposisi Matematis terhadap Kemampuan Pemahaman Konsep Matematika
Authors: Febriyani Anita , Hakim Arif Rahman , Nadun Nadun
Published: June 2022

Mathematics is one of the difficult subjects, many students have difficulty in learning mathematics and have a bad impact on students' attitudes and learning motivation. This is caused by the lack of competence that students have in understanding mathematical concepts. This study aims to determine the effect of mathematical disposition on the ability to understand mathematical concepts. The research method is quantitative research with correlational survey method with simple regression analysis. The target population, namely all students of the Malahayati Islamic Middle School. The population reached was only the VIII grade students of Malahayati Islamic Junior High School. The research sample amounted to 26 respondents with a simple random sampling technique. The research instrument was a mathematical disposition questionnaire and a question about the ability to understand mathematical concepts. The technique of data analysis was done by correlation test and simple regression test. Overall, it can be said that there is a positive and insignificant effect on students' ability to understand mathematical concepts.
Kemampuan Representasi Matematis Siswa dalam Menyelesaikan Soal Himpunan dan Kemandirian Belajar
Authors: Addawiyah Arfah Al , Basuki Basuki
Published: June 2022

In general, the mathematical representation skills of students in Indonesia are still relatively low, this is indicated by the number of students who still have difficulty in working on problems in the form of images, symbol, and verbal. One of the factors that affect the ability of mathematical representation shiva is the independence of learning. This research aims to find out the mathematical representation skills in solving set problems and learning independence. The type of research used in this research is qualitative research. The subjects in the study were class VIII students of the 2020/2021 school year who were at Kelurahan Sukagalih, which amounted to 3 people using purposive sampling techniques. The data collection techniques used are learning independence questionnaires, representation skills tests, interviews, and documentation. The results showed that students mathematical representation abilities in learning independence had medium and low categories seen from students mathematical representation abilities on image and symbol, so that students are able to solve problems. Some students are only able to solve problems to convey their mathematical ideas in their own language.
Kemampuan Komunikasi Matematis pada Materi Kubus dan Balok Berdasarkan Kemandirian Belajar Siswa
Authors: Hakiki Sufi Nur , Sundayana Rostina
Published: June 2022

In general, the mathematical communication skills of students in Indonesia are still relatively low, this is indicated by the number of students who still have difficulty in working on problems in the form of images, graphs, and others. One of the factors that affect the ability of mathematical communication shiva is the independence of learning. This research aims to find out the mathematical communication skills on cube and beam materials based on learning independence. The type of research used in this research is qualitative research. The subjects in the study were class IX students of the 2020/2021 school year who were at OMA Indah Housing, which amounted to 3 people using purposive sampling techniques. The data collection techniques used are learning independence questionnaires, communication skills tests, interviews, and documentation. The results showed that students with high independence had better mathematical communication skills than students with moderate and low independence. In addition, students with moderate independence have better mathematical communication skills than students with low independence.
Kemampuan Representasi Matematis Siswa SMP terhadap Materi Segiempat
Authors: Khoerunnisa Resa , Maryati Iyam
Published: June 2022

Mathematical representation skills are needed in understanding the material and solving problems. The facts show that efforts are needed to improve students' mathematical representation abilities. This research aims to analyze the mathematical representation ability of VIII grade junior high school students on quadrilateral material. The research method is descriptive qualitative. Data collection techniques were carried out through written tests, interviews, documentation, and researcher notes. The data analysis technique was carried out using the Milles and Huberman analysis model. The research subjects were six grade VIII junior high school students. The results showed that visual representations were mastered by students but when given other cases students could not answer, image representations were only mastered by some students because others lacked confidence, representations of equations or mathematical expressions were only mastered by one student because most students did not understand how to work. the material contained in the questions, and the word representation can be mastered by all students, but when given another case students cannot answer because they do not know how to work on the questions used.
Kemampuan Koneksi Matematis ditinjau dari Self Efficacy Siswa SMP pada Materi Pola Bilangan
Authors: Indriani Riri , Sritresna Teni
Published: June 2022

The mathematical connection ability of students in Indonesia is still relatively low. One of the influencing factors is students' self-efficacy. This study aims to determine students' mathematical connection abilities in terms of students' self-efficacy in number pattern material. This type of research is qualitative with a descriptive analysis method. The research subjects were selected by purposive sampling technique, namely the 3rd-grade students of some of the junior high schools in Garut. Data collection techniques used are self-efficacy questionnaires, mathematical connection ability tests, interviews, and documentation. The data analysis technique used is data reduction, data presentation, and conclusion drawing. The results showed that students with low self-efficacy had high mathematical connection abilities, students with moderate self-efficacy had very high mathematical connection abilities, and students with high self-efficacy had very high mathematical connection abilities. Thus, the mathematical connection ability is generally classified as good in terms of self-efficacy.
Studi Etnomatematika Rumah Adat Kampung Pulo Desa Cangkuang Kabupaten Garut
Authors: Nurhasanah Wina Fitriani , Puspitasari Nitta
Published: June 2022

Ethnomathematics is a form of mathematics that is influenced or based on culture. In mathematical activities there are mathematical concepts that can be revealed, especially in the Kampung Pulo community, also aiming to show the reciprocal relationship between mathematics and culture. This study aims to describe the traditional house of Kampung Pulo into mathematics learning, the data obtained in the form of qualitative data. The research instrument used the interview, observation, and documentation methods. The data validity technique in this study was triangulation. The results showed that the shape of the roof of the traditional house, the room in the traditional house, the motif of the walls of the traditional house, the foundation of the traditional house and the shape of the pillars in the traditional house of Kampung Pulo consisted of the geometric concepts of building space, flat shapes, angles, and lines. Therefore, culture-based mathematics learning is needed in schools because it is not only to understand mathematical concepts, but students are also introduced to and love their own culture.
Kemampuan Komunikasi Matematis Siswa pada Materi Penyajian Data di Desa Bojong
Authors: Hanisah Hanisah , Noordyana Mega Achdisty
Published: June 2022

Mathematical communication skills will enable someone to use mathematics for their own benefit and for others so that it will increase positive attitudes towards mathematics. In general, students' mathematical communication skills are still low, both orally and in writing. The low level of mathematical communication can be seen because students rarely express their mathematical ideas orally with the right mathematical language. The purpose of this study was to obtain a description of the mathematical communication skills of class VIII MTs students on data presentation material. The research method is descriptive qualitative. Data collection techniques include observation, tests, interviews, data collection instruments and documentation, with data analysis techniques using Milles and Huberman analysis models. The research subjects were five MTs grade VIII students for the 2020/2021 academic year. Based on the results of the study showed that the research subjects had not mastered all indicators of mathematical communication skills. This can be seen from the results of the answers of research subjects who still make many mistakes when answering the questions given.
Olfactory Function and Markers of Brain Pathology in Non-Demented Individuals with Autosomal Dominant Alzheimer’s Disease
Authors: Ramirez-Gomez Liliana , Albers Mark W. , Baena Ana , Vila-Castelar Clara , Fox-Fuller Joshua T. , Sanchez Justin , Jain Felipe , Albers Alefiya D. , Lopera Francisco , Quiroz Yakeel T.
Published: June 2022

Background: Olfactory dysfunction is one of the earliest signs of Alzheimer’s disease (AD), highlighting its potential use as a biomarker for early detection. It has also been linked to progression from mild cognitive impairment (MCI) to dementia. Objective: To study olfactory function and its associations with markers of AD brain pathology in non-demented mutation carriers of an autosomal dominant AD (ADAD) mutation and non-carrier family members. Methods: We analyzed cross-sectional data from 16 non-demented carriers of the Presenilin1 E280A ADAD mutation (mean age [SD]: 40.1 [5.3], and 19 non-carrier family members (mean age [SD]: 36.0 [5.5]) from Colombia, who completed olfactory and cognitive testing and underwent amyloid and tau positron emission tomography (PET) imaging. Results: Worse olfactory identification performance was associated with greater age in mutation carriers (r = –0.52 p = 0.037). In carriers, worse olfactory identification performance was related to worse MMSE scores (r = 0.55, p = 0.024) and CERAD delayed recall (r = 0.63, p = 0.007) and greater cortical amyloid-β (r = –0.53, p = 0.042) and tau pathology burden (entorhinal: r = –0.59, p = 0.016; inferior temporal: r = –0.52, p = 0.038). Conclusion: Worse performance on olfactory identification tasks was associated with greater age, a proxy for disease progression in this genetically vulnerable ADAD cohort. In addition, this is the first study to report olfactory dysfunction in ADAD mutation carriers with diagnosis of MCI and its correlation with abnormal accumulation of tau pathology in the entorhinal region. Taken together, our findings suggest that olfactory dysfunction has promise as an early marker of brain pathology and future risk for dementia.
Long Term Microscale Decadal Analysis of Coastal Rainfall Pattern: An Indication of Microclimatic Variation in South India
Authors: Pereira Glitson Francis , Balasubramanian Gurugnanam , Sabarathinam Chidambaram , Goswami Santonu , Swaminathan Bairavi
Published: June 2022

There are drastic variations in the intensity and the pattern of rainfall and temperature globally. The variations thus reflect the variation in the microclimatic signatures. The current study aims to assess the climatic changes in the coastal region of Ramanathapuram using the monthly rainfall and temperature average along the coastal region. The microscale rainfall and temperature trend have been analysed for three decades (30 years), representing 1990 to 2019. The study was divided into three different periods: first (1990-1999), second (2000-2009), and the third decade (2010-2020). The study infers that 467 km2 of the area receives an average of 676 mm of rain in decade-I. In decade-II, 39 km2 of the area is noted with 637.6 mm rainfall, 48 km2 of the study area is reported to have 821 mm rainfall, and only 29 km2 area receives normal rainfall of 992 mm, but 351 km2 receives “excess” rainfall of above 1000 mm. In decade-III, less than 750 mm rainfall is recorded at 202 km2, with 43 km2 recorded “deficit” rainfall, and 24 km2 area received an “excess” rainfall. The variation in the amount of rain during the recent period was observed. Similarly, the temperature was comparatively elevated during the Ist Decade (1990-1999). The intensity of rain events, number of rainy days and frequency of rainfall reflected variations. The land surface temperatures also indicated minor variations and increased inter-monsoonal periods. The variation in the rainfall amount, the shift in monsoonal periods and the change in temperature indicate the microclimatic variation in the region.
Local Knowledge of Coastal Population to Sea Level Rise and Climate Change – A Case Study in Fishermen Community, Kanyakumari District, Tamil Nadu, India
Authors: Veeran Yoganandan , John Bose R.S. , Kandasamy Selvaraj
Published: June 2022

This research synthesises two evaluations of a local level climate change adaptation and planning process in the southernmost coastal region, Kanyakumari, India which was supported through community-based appraisals. First, understanding the public perception of climate change factors is crucial in generating support for climate change response. Second, generating enough grass-root level support from the local population to assess the long-term climate change impacts on decision-making to design the adaptation strategies for sea-level rise. These two results highlight the level of understanding and awareness of climate change’s impact by the local population in the coastal region of Kanyakumari. A well-designed questionnaire with structured interviews, to collect data on local knowledge and local perception of climate change and sea-level rise from 100 respondents was distributed each in 44 coastal villages in the study area. The finding showed that 20.7% of the local population have knowledge of climate change and its impacts and 18.4% of the population agreed that the impact of sea-level rise is experienced in the coastal region. This study is to provide insight into the communities’ knowledge of the adaptive capacity of the local population to cope with climate change towards the treaty of sea-level rise.
Spit Evolution and Shoreline Changes Along Manamelkudi Coast Using Geo-Spatial Techniques and Statistical Approach
Authors: Premkumar M. , Kongeswaran T. , Sivakumar K. , Muruganantham A. , Muthuramalingam R. , Chandramohan S. , Vasanthavigar M.
Published: June 2022

The historical shoreline changes from 1980 to 2020 along the Manamelkudi coast is studied using toposheet, satellite time-series Landsat data, and observed data. An attempt is made to recognise possible factors which are responsible for shoreline changes and spit growth at south Manamelkudi coast (Palk Strait), Eastern part of Pudukkottai district, Tamilnadu. During 1980–2020, the regions showed distinct spatio-temporal variability, which is discussed in relation to spit evolution and shoreline changes. The study also generated a long-term (1980-2020) shoreline change statistics (EPR, LRR, SCE and NSM, WLR) using the Digital Shoreline Analysis System (DSAS) at every 150 m interval for the Manamelkudi coast covering 42 km, identified the erosion and accretion and divide the shoreline into different classes of erosion and accretion. Identified lengths of shoreline with high erosion, low erosion, stable, low accretion and high accretion are, respectively, based on LRR. The results indicate that spit evolution is predominant along the Manamelkudi coast, with the highest percentage of erosion and accretion.
OpenEHR Implementation Guide: Towards Standard Low-Code Healthcare Systems
Authors: Frade Samuel , Beale Thomas , Cruz-Correia Ricardo J.
Published: June 2022

Several open source components have been made available in recent years to help develop full openEHR systems. Still doubts exist if these are sufficient. This paper presents a case study of implementing a low-code openEHR system, investigating the feasibility and challenges of developing a system using these components for each step. The method used consisted in selecting successful examples of implementation case studies, identifying key development steps, and for each step searching for possible open source options. As a result, we had a working low-code openEHR powered EHR, successfully demonstrating the feasibility of the proposed implementation guide. The main available free or open source components used were ArchetypeDesigner and EHRbase, developed by Better and Vita/HighMed respectively. In our opinion, it is possible to build EHR systems using the available open source components, but support is still missing in the front end, specifically for form generation and screen representation.
Adding an Attention Layer Improves the Performance of a Neural Network Architecture for Synonymy Prediction in the UMLS Metathesaurus
Authors: Nguyen Vinh , Bodenreider Olivier
Published: June 2022

Background: Terminology integration at the scale of the UMLS Metathesaurus (i.e., over 200 source vocabularies) remains challenging despite recent advances in ontology alignment techniques based on neural networks. Objectives: To improve the performance of the neural network architecture we developed for predicting synonymy between terms in the UMLS Metathesaurus, specifically through the addition of an attention layer. Methods: We modify our original Siamese neural network architecture with Long-Short Term Memory (LSTM) and create two variants by (1) adding an attention layer on top of the existing LSTM, and (2) replacing the existing LSTM layer by an attention layer. Results: Adding an attention layer to the LSTM layer resulted in increasing precision to 92.38% (+3.63%) and F1 score to 91,74% (+1.13%), with limited impact on recall at 91.12% (-1.42%). Conclusions: Although limited, this increase in precision substantially reduces the false positive rate and minimizes the need for manual curation.
Design and Implementation of Model-Driven Development for Nursing Information System
Authors: Wen Pei-Ying , Chang Shien-Young
Published: June 2022

Current healthcare industries are more focusing on quality, efficiency, and safety. Nursing information systems are among the key components of healthcare information systems; they can help nurses to use data more effectively while managing their nursing activities, allowing them to improve patient care and develop their knowledge. According to clinical various needs and various hospitals, so as to develop a flexible Nursing Information System, this study based on the MVC, Object-Oriented Programming is used to develop the web interface, and web service is used to exchange data with HIS. This design and implements a flexible Nursing Information System which is applied and summarized clinically on the function of acquiring clinical data from the different clinical requirements and showing the web pages and different kinds of forms from the device browser. Under the software development environment of high variability, high complexity, and high customization in the medical industry, a scalable and maintainable nursing information system is realized through the MVC architecture and the Master-Detail data table design, which can meet the needs of different organizations.
Can CPOE Based on Electronic Order Sets Cause Unintended Consequences (Expensive and Unnecessary Tests) at the Emergency Department?
Authors: Frutos Eliana Ludmila , Muñoz Agustín Matías , Rovegno Luciana , Pedretti Ana Soledad , Otero Carlos Martin , Gimenez Cintia , Luna Daniel Roberto , Grande Ratti María Florencia , Martinez Bernardo Julio
Published: June 2022

Computerized Provider Order Entry (CPOE) systems may cause unintended consequences. This study aimed to describe the on-going system for CPOE order sets, and to explore an economic evaluation at the Emergency Department. First, we developed a costs dashboard which showed us the significant and excessive use of medical tests per consultation. We identified the top 10 most widely used and most expensive tests. Additionally we noticed that the labs seemed to continually increase. Then, we found that 27% of the consultations have at least one item of laboratory practice between January and February 2020, and this represents more than 80% of the consultation costs. Health care spending has reached epic proportions globally. We think that it is time to rethink effective strategies. Maybe it is time to deactivate/remove electronic order sets (EOSs) and the functionality to develop and create their own “private” order sets, in order to eliminate waste and inefficiencies.
A Hybrid Approach for Designing Dynamic and Data-Driven Clinical Pathways Point of Care Instruments in Low Resource Settings
Authors: Tegenaw Geletaw Sahle , Amenu Demisew , Ketema Girum , Verbeke Frank , Cornelis Jan , Jansen Bart
Published: June 2022

Though a clinical pathway is one of the tools used to guide evidence-based healthcare, promoting the practice of evidence-based decisions on healthcare services is incredibly challenging in low resource settings (LRS). This paper proposed a novel approach for designing an automated and dynamic generation of clinical pathways (CPs) in LRS through a hybrid (knowledge-based and data-driven based) algorithm that works with limited clinical input and can be updated whenever new information is available. Our proposed approach dynamically maps and validate the knowledge-based clinical pathways with the local context and historical evidence to deliver a multi-criteria decision analysis (concordance table) for adjusting or readjusting the order of knowledge-based CPs decision priority. Our finding shows that the developed approach successfully delivered probabilistic-based CPs and found a promising result with Jimma Health Center “pregnancy, childbearing, and family planning” dataset.
The Technology Landscape of Patient-Centered Clinical Decision Support – Where Are We and What Is Needed?
Authors: Dullabh Prashila , Heaney-Huls Krysta , Hovey Lauren , Sandberg Shana , Lobach David F. , Boxwala Aziz , Desai Priyanka , Sittig Dean F.
Published: June 2022

Patient Centered Outcomes Research (PCOR) and health care delivery system transformation require investments in development of tools and techniques for rapid dissemination of clinical and operational best practices. This paper explores the current technology landscape for patient-centered clinical decision support (PC CDS) and what is needed to make it more shareable, standards-based, and publicly available with the goal of improving patient care and clinical outcomes. The landscape assessment used three sources of information: (1) a 22-member technical expert panel; (2) a literature review of peer-reviewed and grey literature; and (3) key informant interviews with PC CDS stakeholders. We identified ten salient technical considerations that span all phases of PC CDS development; our findings suggest there has been significant progress in the development and implementation of PC CDS but challenges remain.
Remote Usability Testing to Facilitate the Continuation of Research
Authors: Sherwin LeeAnne B. , Yevu-Johnson Justina , Matteson-Kome Michelle , Bechtold Mathew , Reeder Blaine
Published: June 2022

Usability testing has historically been an in-person activity where test participants and evaluation researchers are co-located. Recruiting participants into usability studies can be a challenging endeavor especially when potential participants are concerned about time commitments and social distancing. The global COVID-19 pandemic has driven the development of remote usability testing methods. In this paper, we describe remote usability testing as it evolved during a pre-pandemic research study. We adapted our in-person usability evaluation methodology for a commercially available mHealth app to a remote usability testing methodology to accommodate potential participants during a more convenient participant-identified time. In doing so we met the needs, preferences, and availability of our participants and maintained research progress. Adapting to patient-centered needs through remote usability testing has the potential to facilitate continued research and engage potential participants due to its convenience, flexibility, and decrease constraints presented by geographic limits.
Digital Methodology for Mobile Clinical Decision Support Development in Long-Term Care
Authors: Gallimore Malaika R. , Howland Chelsea , Chase Jo-Ana D. , Grimsley Amy , Emezue Chuka , Boles Katrina , Anbari Allison B. , Sherwin LeeAnne B. , Vogelsmeier Amy , Popejoy Lori , Rantz Marilyn J. , Reeder Blaine
Published: June 2022

The global COVID-19 pandemic has driven innovations in methods to sustain initiatives for the design, development, evaluation, and implementation of clinical support technology in long-term care settings while removing risk of infection for residents, family members, health care workers, researchers and technical professionals. We adapted traditional design and evaluation methodology for a mobile clinical decision support app – designated Mobile Application Information System for Integrated Evidence (“MAISIE”) – to a completely digital design methodology that removes in-person contacts between the research team, developer, and nursing home staff and residents. We have successfully maintained project continuity for MAISIE app development with only minor challenges while working remotely. This digital design methodology can be implemented in projects where software can be installed without in-person technical support and remote work is feasible. Team skills, experience, and relationships are key considerations for adapting to digital environments and maintaining project momentum.
Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan
Authors: Lee You-Qian , Wang Bo-Hong , Su Chu-Hsien , Chen Pei-Tsz , Lin Wu-Qing , Wu Chi-Shin , Dai Hong-Jie
Published: June 2022

Electronic health records (EHRs) at medical institutions provide valuable sources for research in both clinical and biomedical domains. However, before such records can be used for research purposes, protected health information (PHI) mentioned in the unstructured text must be removed. In Taiwan’s EHR systems the unstructured EHR texts are usually represented in the mixing of English and Chinese languages, which brings challenges for de-identification. This paper presented the first study, to the best of our knowledge, of the construction of a code-mixed EHR de-identification corpus and the evaluation of different mature entity recognition methods applied for the code-mixed PHI recognition task.
Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection
Authors: Basu Sayantani , Campbell Roy H.
Published: June 2022

The COVID-19 pandemic has caused millions of infections and deaths worldwide in an ongoing pandemic. With the passage of time, several variants of this virus have surfaced. Machine learning methods and algorithms have been very useful in understanding the virus and its implications so far. In this paper, we have studied a set of novelty detection algorithms and applied it to the problem of detecting COVID-19 variants. Our results show accuracies of 79.64% and 82.43% on the B.1.1.7 and B.1.351 variants respectively on ProtVec unaligned COVID-19 spike protein sequences using One Class SVM with fine-tuned parameters. We believe that a system for automated and timely detection of variants will help countries formulate mitigation measures and study remedies in terms of medicines and vaccines that can protect against the new variants.
Deep Learning and Explainable Artificial Intelligence to Predict Patients’ Choice of Hospital Levels in Urban and Rural Areas
Authors: Chen Lichin , Sheu Ji-Tian , Tsao Yu , Chuang Yuh-Jue
Published: June 2022

Maldistribution of healthcare resources among urban and rural areas is a significant challenge worldwide. People living in rural areas may have limited access to medical resources, and often neglect their health problems or receive insufficient care services. This research uses a deep learning approach to predict patient choices regarding hospital levels (primary, secondary or tertiary hospitals) and interpret the model decision using explainable artificial intelligence. We proposed an autoencoder-deep neural network framework and trained region-based models for the urban and rural areas. The models achieve an area under the receiver operating characteristics curve (AUC) of 0.94 and 0.95, and an accuracy of 0.93 and 0.92 for the urban and rural areas, respectively. This result indicates that region-based models are effective in improving the performance. The result is potentially leading to appropriate policy planning. Further interpretation can be done to investigate the explicit differentiation of the rural and urban scenarios.
The Gap Between Technology and Ethics, Especially in Low- and Middle-Income Country Health Information Systems: A Bibliometric Study
Authors: Thomas James , Carlson Rebecca , Cawley Michelle , Yuan Quan , Fleming Victoria , Yu Fei
Published: June 2022

Digital health information systems are quickly replacing paper systems worldwide. This study examined scholarly work reflecting how ethical considerations for health information systems (HISs) have evolved over time, with particular interest in the contributions from low- and middle-income country (LMIC) institutions. We systematically searched four research databases for terms related to HISs, ethics, and LMICs; and identified 601 relevant articles published from 1975 through 2019. The included publications were produced by 1,000 authors from more than 700 institutions. However, only 30 publications were co-authored by researchers from both an LMIC and a high-income country (HIC). Most publications pertained to data security. There is an acute need to address a wider array of HIS ethics topics, including those that may be unique to LMIC resource constraints. We recommend more collaborations between LMIC and HIC institutions to address the full range of HIS ethical concerns in LMICs.
The eHealth4all@eu Pipeline of Course Development: TIGER Recommendations in Action
Authors: Hübner Ursula , Saranto Kaija , Vieia-Marques Pedro , Kinnunen Ulla-Mari , Egbert Nicole , Babitsch Birgit , Kalthoff Daniel , Cardosa Alexandrina , Sousa Paulino , Hüsers Jens , Padilha Miguel , Mannavaara Pauleen , Jokinen Tiina , Mansholt Hilke , Correia Ricardo , Morawski Toria Shaw , Wilson Gabriela M. , Ball Marion J.
Published: June 2022

This study describes the eHealth4all@eu course development pipeline that builds upon the TIGER educational recommendations and allows a systematic development grounded on scientific and field requirements of competencies, a case/problem-based pedagogical approach and finally results in the syllabus and the course content. The pipeline is exemplified by the course Learning Healthcare in Action: Clinical Data Analytics.
Analysis of ontologies and policy languages to represent information flows in GDPR
Authors: Esteves Beatriz , Rodríguez-Doncel Víctor
Published: June 2022

This article surveys existing vocabularies, ontologies and policy languages that can be used to represent informational items referenced in GDPR rights and obligations, such as the ‘notification of a data breach’, the ‘controller’s identity’ or a ‘DPIA’. Rights and obligations in GDPR are analyzed in terms of information flows between different stakeholders, and a complete collection of 57 different informational items that are mentioned by GDPR is described. 13 privacy-related policy languages and 9 data protection vocabularies and ontologies are studied in relation to this list of informational items. ODRL and LegalRuleML emerge as the languages that can respond positively to a greater number of the defined comparison criteria if complemented with DPV and GDPRtEXT, since 39 out of the 57 informational items can be modelled. Online supplementary material is provided, including a simple search application and a taxonomy of the identified entities.
Menjaga Kesehatan Fisik Dan Mental Lanjut Usia Melalui Program Posyandu Lansia
Authors: Cahyadi Aditya , Mufidah Wardatul , Susilowati Tri , Susanti Hevy , Dwi Anggraini Winda
Published: June 2022

Posyandu lansia adalah pos pelayanan terpadu untuk masyarakat lanjut usia di suatu wilayah tertentu yang sudah terencana, yang digerakkan oleh masyarakat terutama ibu – ibu PKK dimana mereka bisa mendapatkan pelayanan.tujuan penelitian ini adalah untuk mengetahui efektifitas Posyandu Lansia dalam menjaga kesehatan fisik dan kesehatan mental lanjut usia serta faktor – faktor yang mempengaruhi pelaksanaan Posyandu Lansia. Metode : penelitian menggunakan pendekatan deskriptif kualitatif. Teknik pengumpulan data menggunakan wawancara, observasi dan dokumentasi.Penelitian dilakukan di Posyandu Lansia Desa Kedawong  Kecamatan Diwek Kabupaten Jombang, dengan mengambil subjek lansia yang terdata sebanyak 58 lansia. Peran dari program posyandu lansia dimaksudkan untuk memenuhi dan meningkatkan usaha pelayanan kesehatan fisik dan Mental bagi lansia yang umumnya membutuhkan bantuan dalam pemenuhan kebutuhan kesehatan fisik dan mental. selain sebagai pemenuhan kebutuhan kesehatan fisik dan mental bagi lansia juga menjadi sarana rekreasi dan dapat bersosialisasi dengan teman sebaya ditengah kondisi mereka yang memiliki banyak waktu luang dan kesepian.Ppenyuluhan menjaga kesehatan fisik dan mental lanjut usia di program posyandu lansia berdampak positif untuk meningkatkan kesehatan mental dan spiritual pada lansia.
Pemberdayaan Usaha Ekonomi Kreatif dalam Inovasi Kerajinan Anyaman Pandan di Karanggebang, Munungkerep, Kabuh, Jombang
Authors: Maida W Avi , Ali Machrus , Rahman Sujatmika Arif , Sunarti Sunarti , Nur S Novi , Agil Haikal Muhammad
Published: June 2022

Desa munungkerep merupakan salah satu desa penghasil kerajinan Pandan yang sudah ada sejak zaman dulu dan merupakan warisan budaya kearifan lokal yang diperoleh dari orang tua secara turun-temurun. Kerajinan anyaman dibuat dari tanaman pandan yang tersedia dengan jumlah yang melimpah di desa Munungkerep. Mayoritas penduduknya bekerja sebagai pengrajin anyaman tikar pandan. Permasalahannya adalah anyaman Pandan yang dihasilkan oleh pengrajin biasanya dijual langsung kepada pengepul anyaman sehingga nilai jual dari anyaman Pandan tergantung dari jumlah harga yang diberikan oleh pengepul. Mitra kegiatan pengabdian kepada masyarakat ini adalah pengelola dan pengrajin UMKM Anya Craft di Desa Munungkerep, Kecamatan Kabuh, Kabupaten Jombang yang bertujuan memberikan pelatihan mengenai inovasi produk baru yang dihasilkan dari kerajinan anyaman pandan dan meningkatkan kreativitas pengrajin. Dengan menambahkan desain baru yang lebih beragam dan disesuaikan dengan perkembangan zaman akan meningkatkan daya jual. Serta membantu mitra dalam memanfaatkan teknologi dan media sosial sebagai sarana promosi. Hasil dari kegiatan ini, pengrajin bisa memahami materi yang diberikan dan bisa mempraktekannya, mulai dari persiapan dan proses produksi. Kendala yang dihadapi adalah ada sebagian kecil pengrajin yang keterampilannya kurang memadai.
MANAGEMENT CHANGE, FINANCIAL DISTRESS, UKURAN PERUSAHAAN KLIEN, UKURAN KAP, PERSENTASE PERUBAHAN ROA, AUDIT FEE DAN PENGARUHNYA TERHADAP PENGGANTIAN KANTOR AKUNTAN PUBLIK (KAP) SECARA VOLUNTARY
Authors: Nurhasanah Sofiah , Mutmainah Kurniawati
Published: June 2022

Penelitian ini bertujuan untuk membuktikan pengaruh management change, financial distress, ukuran perusahaan klien, ukuran KAP, persentase perubahan ROA dan audit fee terhadap  penggantian Kantor Akuntan Publik (KAP) secara voluntary. Populasi dalam penelitian ini adalah 141 perusahaan manufaktur yang telah terdaftar di Bursa Efek Indonesia dengan periode penelitian  mulai dari tahun 2016 sampai dengan tahun 2019. Teknik pengambilan sampel dalam penelitian ini dengan menggunakan metode purposive sampling. Setelah melewati tahap purposive sampling, jumlah perusahaan manufaktur yang memenuhi kriteria sampel sebanyak 20 perusahaan. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi logistik dengan bantuan perangkat lunak SPSS Statistics v.23. Hasil penelitian ini membuktikan bahwa management change, financial distress, ukuran perusahaan klien, ukuran KAP, persentase perubahan ROA dan audit fee tidak berpengaruh terhadap penggantian KAP secara voluntary
PUSAT BUDIDAYA DAN PENGEMBANGAN IKAN AIR TAWAR DENGAN PENDEKATAN ARSITEKTUR EKOLOGI
Authors: Rizal Bagas Khoirul
Published: June 2022

Pusat budidaya dan pengembangan ikan air tawar dengan pendekatan arsitektur ekologi suatu tempat yang di gunakan untuk budidaya ikan air tawar serta untuk menambah wawasan tentang ikan air tawar (bibit, pembesaran, pemijahan dan konsumsi). fasilitas ini akan di lengkapi dengan berbagai ruangan untuk pelatihan, laboratorium, auditorium, kelas hasil panen, kolam budidaya dan fasilitas penunjang lainya seperti kolam pemancingan dan outlet hasil dari pengolahan yang tergabung dalam satu wadah. selain itu untuk mendongkrak perekonomian baik dari penjualan ikan maupun olahan ikan yang telah kami sediakan di tempat ini juga akan kami kembangkan dengan mengunakan konsep ECO ARSITEKTUR (arsitektur ekologi).
PUSAT EDUKASI DAN REKREASI KOPI ARABICA SINSU DENGAN PENEKANAN ARSITEKTUR BERKELANJUTAN
Authors: Ghozali Farid Iqbal
Published: June 2022

Kopi merupakan salah satu komoditas perkebunan yang diandalkan di Indonesia. Kopi pertama kali dibawa Belanda masuk ke Indonesia pada tahun 1696. Jenis kopi Arabika awalnya diproduksi oleh Belanda dan diekspor pertama kali pada tahun 1711 ke negara-negara di Eropa. Adanya hama menyebabkan Belanda juga mencoba jenis kopi Liberika dan Robusta ditanam di Indonesia. komoditas kopi merupakan salah satu komoditas unggulan di Kabupaten Temanggung. Oleh karena itu, tanaman kopi menjadi andalan bagi petani selain tanaman tembakau. Hal ini dikarenakan tanaman kopi mempunyai nilai ekonomi cukup tinggi, dan cenderung stabil dibandingkan tembakau. Selain itu juga potensi daerah khususnya Kecamatan Kledung menjadi salah salah satu prospek yang bagus buat budidaya tanaman kopi arabika berdasarkan kondisi geografis daerah dengan ketinggian lahan rata-rata 1.200 m dpl, dengan suhu 15°C-25°C pada rata-rata suhu daerah. Komoditas kopi  arabika masih minim pada daerah kledung, karna hanya menjadi tanaman tumpang sari dengan tanaman sayuran dan tembakau. Dengan adanya pengembangan tanaman kopi arabika, diharapkan kedepanya bisa menjadi komoditas utama produksi pertanian daerah . Metodologi yang digunakan dalam perencanaan pusat edukasi dan rekreasi kopi arabica sinsu dengan penekanan arsitektur berkelanjutan di Kabupaten Temanggung didasarkan pada pengumpulan data deskriptif kompetitif dan metode pengumpulan data yang diperoleh baik dari data primer maupun data sekunder. Tahap pengumpulan data dilakukan dengan studi kepustakaan, observasi lapangan, dan studi banding.