bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of an Austrian HL7 Member FHIR IG Supporting Medication Ordering, Prescription and Dispense Processes
Authors: Frohner Matthias , Treml Lilly Maria , Latikaynen Daniel , Goldmann Annemarie , Leipold Stefan , Loidl Herwig , Urbauer Philipp
Published: August 2024

The Austrian research project Linked Care explored digitalization in mobile care, focusing on streamlining the medication process to save nursing staff time. A FHIR R5-based workflow was developed to support medication ordering by nurses, prescriptions by practitioners, and dispensing by pharmacies. Key FHIR resources were profiled and published in an HL7 Austria Member Implementation Guide (IG). The IG includes specifications and technical details for implementation and was the first member-contributed IG approved by the HL7 Austria FHIR community in early 2024. These specifications are now being implemented and will be tested in late 2024.
From Clinical Information Systems to Personalized Health Knowledge Graphs
Authors: Aghaei Sareh , Celebi Remzi , Kreuzthaler Markus , Schulz Stefan
Published: August 2024

This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.
A Proposal for a Unifying Model of Quality Management of Healthcare
Authors: Meijer Wouter
Published: August 2024

For quality management of healthcare, various ISO-standards are important such as ISO 9001 (quality management systems), ISO 13940 (concepts of continuity of care) and ISO 21298 (functional and structural roles). For concurrent, integrated use of the standards, this paper proposes a unifying conceptual model that integrates essential elements of the standards. The model may be useful to clarify basic concepts such as collaboration, systems-and-structures and realization, as well as the interrelations between these concepts.
Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models
Authors: Berbenyuk Anna , Powell Leigh , Zary Nabil
Published: August 2024

In medical education, case-based learning (CBL) is a fundamental method for training healthcare professionals across different levels of expertise. This approach hinges on using authentic or fabricated clinical cases to bridge the gap between theoretical knowledge and its practical application. It fosters active engagement and knowledge application among learners in healthcare domains. While creating effective cases demands substantial clinical understanding and time investment, the integration of Generative Artificial Intelligence (AI) presents a promising solution to this challenge. AI can efficiently analyze extensive medical data to generate diverse and realistic clinical scenarios, continuously updating case content based on emerging medical literature and guidelines. This study explores AI-generated cases’ feasibility and educational value in continuing medical education, focusing on COVID-19 scenarios tailored for the MENA region. Results indicate the potential of AI-generated cases to foster engagement and critical thinking among learners, suggesting their suitability for different levels of education. This study highlights the advantages of integrating AI into CBL and emphasizes the need for future efforts to tackle obstacles and facilitate its successful adoption.
Assessing Health Data Science Internships: A Comprehensive Study at the University of Lille
Authors: Andries Coline , Ouddarour Ikram , Saint-Dizier Chloé , Guinhouya Benjamin , Lamer Antoine
Published: August 2024

Data Science emerged as a new cross-disciplinary discipline at the intersection of statistics, computer science, and expertise in a specific domain, such as health and biology. The data science field, alongside other data-related professions, is continuously evolving. We conducted a study examining tasks assigned to first-year internship students pursuing a Master’s degree in Health Data Science, exploring the missions, technologies employed and skills required, and internship alignment with students’ training through semi-structured interviews with 32 participants. Three quarters of the students were placed in teams within the public sector. Among these entities, there were 11 hospitals and 12 universities. Although the majority of students did their internship as part of a methodological team, they often had a healthcare professional on their team. Nearly half of the missions involved descriptive analysis, followed by 9 missions focused on etiology or prediction and 8 missions on implementing a data warehouse. The majority of students had to perform data management and produce graphs, while only half conducted statistical analysis. The findings highlighted that data management remains a major challenge, and it should be taken into consideration when designing training programs. In future, it remains to determine whether this trend will continue with second-year students or if, with experience, they are more often assigned statistical analyses.
Self-Reported Learning Strategies and Preferences in Health Informatics
Authors: Rohani Narjes , Gallagher Michael , Gal Kobi , Banas Kasia , Manataki Areti
Published: August 2024

Despite the proliferation of educational programmes in Health Informatics (HI) worldwide, there is limited knowledge regarding students’ preferences and learning strategies in HI courses. To address this gap, we conducted a study to gather and analyse data from three HI courses. Employing the Motivated Strategies for Learning Questionnaire (MSLQ) and theories of deep and surface learning, we designed a questionnaire to collect data. The analysis of students’ responses indicates that machine learning emerges as one of the most interesting topics, while certain topics such as data wrangling of genomics data were more challenging for students. Students expressed a preference for sequential learning. They exhibited multimodal tendencies regarding the type of learning resources, with tendency to prefer learning resources that have more visual contents. In all three courses, learners reported using deep learning strategy rather than surface learning, yet they appear to struggle with employing organisation, elaboration, and peer learning tactics. This study provides valuable insights into HI education, offering recommendations for educators, learners, and researchers to enhance HI education.
Analyzing the Efficacy of an Open Access Biomedical Informatics Boot Camp
Authors: Resendez Skyler , Franklin Gillian , Stephens Rachel , Maness Heather , Chamala Srikar , Elkin Peter L.
Published: August 2024

Each summer, the University at Buffalo hosts a free, virtual biomedical informatics (BMI) boot camp. Lectures covering various subject matter areas are offered including, but not limited to: machine learning, natural language processing, programming, database queries, clinical decision support (CDS), and public and consumer health informatics. Once the 2023 boot camp had concluded, an anonymous, voluntary survey was offered to everyone who attended. The results of the boot camp were overwhelmingly positive with 70% of the survey participants indicating that they agreed that their expectations were met. 82% of the participants indicated that our JupyterHub and the educational coding materials stored on it are useful tools for the learning process. Qualitative analyses showed a desire for additional hands-on learning over theoretical lectures.
Earth Observation and Geoinformatics to Monitoring the Environmental Status of Urban Streams Inextricably Linked to People’s Mental Health
Authors: Kokolakis Stratos , Kokinou Eleni , Chronaki Catherine , Moen Anne , Datta Gora
Published: August 2024

The general condition of urban watercourses is inextricably linked to ecological balance and public health (physical and mental well-being). Given the vulnerability of these systems to climate change and human pollution, this work aims to demonstrate the effective use of environmental indicators to: a) rapidly assess soil and water conditions near urban streams and b) highlight the importance of geoinformatics and earth observation supported by ground-based techniques. There is a great need for new technology and methods for spatial and temporal monitoring and further quantification of environmental quality in urban streams and the land surrounding them to sensitize policymakers and the public to the environmental degradation of these exceptional habitats and to further protect people’s mental health.
Environmental Geomarker to Assess Impact on Hospitalization
Authors: Sato Kikue , Furukawa Taiki , Kobayashi Daisuke , Oyama Shintaro , Shiratori Yoshimune
Published: August 2024

By linking medical real-world data with geographic information, it is possible to evaluate the impact on hospitalization based on these characteristics, such as patient residence information and disease and medical information. In this study, environmental exposure to air pollutants was reported as a risk factor, and predictive models were used to examine factors affecting health. The importance of the characteristics appeared according to the disease, and overall, the patient profile at the time of admission, such as ADL, was shown to be high, but for respiratory diseases, the cumulative concentration of air pollutants NO2, SPM, and NOx for one year before the onset of admission was the top risk factor for long-term hospitalization, suggesting the influence of exposure due to environmental factors.
The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research
Authors: Cuggia Marc , Guillon-Grammatico Leslie , Gourraud Pierre-Antoine , Chretien Jean-Marie , Bocquet François , Guiton Valentine , Stindel Eric
Published: August 2024

The Ouest Data Hub (ODH) a project lead by GCS HUGO which is a cooperation group of University Hospitals in the French Grand Ouest region represents a groundbreaking initiative in this territory, advancing health data sharing and reuse to support research driven by real-world health data. Central to its structure are the Clinical Data Warehouses (CDWs) and Clinical Data Centers (CDCs), essential for analytics and as the linchpin of the ODH’s status as an interregional Learning Health System. Aimed at fostering innovation and research, the ODH’s collaborative and multi-institutional model effectively utilizes both local and shared resources. Yet, the path is not without challenges, especially in data quality and interoperability, where ongoing harmonization and standard adherence are critical. In 2023, this facilitated access to extensive health data from over 9.3 million patient records, demonstrating the ODH’s capacity for both monocentric and multicentric research across various clinical fields, in close collaboration with physicians. The integration of healthcare professionals is crucial, ensuring data’s clinical relevance and guiding accurate interpretations. Future expansions of the ODH to new hospitals and data types promise to enhance its model further, already inspiring similar frameworks across France. This scalable model for health data ecosystems showcases the ODH’s potential as a foundation for national and supranational data sharing efforts
Investigation of Radiologist Diagnostic Difficulty Prediction Without CT Images
Authors: Kishimoto Kazumasa , Yakami Masahiro , Kuroda Tomohiro
Published: August 2024

For better collaboration among radiologists, the interpretation workload should be evaluated, considering the difference in difficulty for interpreting each case. However, objective evaluation of difficulty is challenging. This study proposes a multimodal classifier of structural and textual data to predict difficulty based on order information and patient data without using images. The classifier showed performance with a specificity of 0.9 and an accuracy of 0.7.
Tumor Board Visualization: Integrating Clinical and Laboratory Insights
Authors: Abdulnazar Akhila , Kreuzthaler Markus , Schulz Stefan , Prietl Barbara , Herbsthofer Laurin
Published: August 2024

We present a data visualization tool for tumor boards, merging clinical with molecular and multi-omics data to refine precision oncology decisions. The tool offers a holistic patient perspective, facilitating personalized treatment strategies. By integrating clinical and laboratory datasets, it enables intuitive navigation through complex information. Clinicians are supported in their decision-making by user-friendly visualizations. Future studies are needed to evaluate its real-world impact and usability in precision oncology settings.
Mapping Medical Context: Workshop-Driven Clustering of Influencing Factors on Medical Decision-Making
Authors: Schuler Katharina , Sedlmayr Martin , Sedlmayr Brita
Published: August 2024

Clinical decision support systems (CDSS) can efficiently support doctors in coping with ever-increasing amounts of data by providing evidence-based recommendations for medical decisions. To integrate the systems into the medical workflow and provide patient-specific recommendations for action in the context of personalized medicine, it is essential to tailor the systems to the context of use. This study aims to present an overview of factors influencing medical decision-making that CDSS must consider. Our approach involves the systematic identification and categorization of contextual factors relevant to medical decision-making. Through extensive literature research and a structured card-sorting workshop, we systematized 774 context factors and mapped them into a model. This model includes six primary entities: the treating physician, the patient, the patient’s family, disease treatment, the physician’s institution, and professional colleagues, each with their relevant context categories. The developed model could serve as a foundation for communication between developers and physicians, supporting the creation of more context-sensitive CDSS in the future. Ultimately, this could enhance the utilization of CDSS and improve patient care.
Efficient Clinical Information Extraction from Breast Radiology Reports in French
Authors: Zaghir Jamil , Lokaj Belinda , Kinkel Karen , Djema Amal-Dahila , Turbé Hugues , Bjelogrlic Mina , Durand de Gevigney Valentin , Schmid Jérôme , Lovis Christian , Goldman Jean-Philippe
Published: August 2024

Radiology reports contain crucial patient information, in addition to images, that can be automatically extracted for secondary uses such as clinical support and research for diagnosis. We tested several classifiers to classify 1,218 breast MRI reports in French from two Swiss clinical centers. Logistic regression performed better for both internal (accuracy > 0.95 and macro-F1 > 0.86) and external data (accuracy > 0.81 and macro-F1 > 0.41). Automating this task will facilitate efficient extraction of targeted clinical parameters and provide a good basis for future annotation processes through automatic pre-annotation.
Utilizing Generalized Linear Mixed Effects Models for Prediction of Bone Mineral Decrease After Lung Transplant – A Preliminary Study
Authors: Sebro Ronnie , Elmahdy Mahmoud
Published: August 2024

Introduction: Recipients of lung transplants are at heightened risk of developing low bone mineral density (BMD). They also have increased risk of developing osteoporosis-related fractures. This rate of BMD decline is not well characterized. The aim of this manuscript is to characterize the rate of BMD decrease after lung transplant. Methodology: This is a preliminary retrospective cohort study of 200 patients who received lung transplants. Each patient had pre-transplant dual energy X-ray absorptiometry (DXA) and post-transplant DXA scans on the same DXA scanner. The BMD at each lumbar vertebra, total hip, and femoral neck were recorded. Generalized linear mixed effects models with random intercepts and random slopes were used to model the rate of change of BMD after transplant, adjusting for time since transplant, sex, and sex*time interaction. Results: We found that men had higher baseline BMD than women at all sites (P<0.05 for all). The rate of BMD decrease was fastest at the femoral neck (P<0.05). Men lost BMD at a faster rate (-5.23 x10-5 g/cm2/day) than women at the femoral neck (-2.22 x10-5 g/cm2 /day). Conclusion: BMD decreases after lung transplant and occurs faster in men than women.
Dementia Ontology Development to Facilitate Collection of High-Quality Dementia Data
Authors: Byun Ahjung , Jung Hyesil
Published: August 2024

The population of dementia patients is on the rise, as society undergoes rapid aging. This led to an expansion of dementia-related data. This study aims to develop a comprehensive dementia ontology to facilitate the collection and analysis of high-quality dementia data. We followed an ontology building process from Ontology Development 101 and the content of the dementia ontology was validated by experts in dementia care and dementia-related research.
Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction
Authors: Aziz Waqar , Nicalaou Andria , Stylianides Charithea , Panayides Andreas , Kakas Antonis , Kyriacou Efthyvoulous , Pattichis Constantinos
Published: August 2024

This study employs machine learning techniques to identify factors that influence extended Emergency Department (ED) length of stay (LOS) and derives transparent decision rules to complement the results. Leveraging a comprehensive dataset, Gradient Boosting exhibited marginally superior predictive performance compared to Random Forest for LOS classification. Notably, variables like triage acuity and the Elixhauser Comorbidity Index (ECI) emerged as robust predictors. The extracted rules optimize LOS stratification and resource allocation, demonstrating the critical role of data-driven methodologies in improving ED workflow efficiency and patient care delivery.
Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons
Authors: Lapp Linda , Bouamrane Matt-Mouley , Roper Marc , Kavanagh Kimberley , Schraag Stefan
Published: August 2024

Successful implementation of clinical decision support tools is rare, the key barrier being the lack of user involvement during development. Following the idea, development, exploration, assessment, long-term follow-up (IDEAL) framework, this study aims to provide early insights into the current challenges, clinical processes, and priorities when developing new decision support tools in cardiac surgery. Using a qualitative approach, semi-structured interviews were conducted with cardiac anesthetists and surgeons from three Scottish cardiac centers. Thematic analysis identified adverse postoperative outcomes, ageing cardiac patient population and changing surgical procedures to be the main challenges in cardiac surgery. Existing risk prediction tools were largely not used due to a perceived lack of utility and validation. This study underscores the need to shift focus towards predicting postoperative complications, instead of mortality. It emphasizes the importance of early collaboration with clinical experts and stakeholders in developing decision support systems that are fit for purpose. By identifying the priorities of cardiac clinicians, the study lays the groundwork for developing clinically meaningful prediction models.
Towards Efficient Value-Based Healthcare Measurement Across Hospital Care Pathways – A Scoping Review
Authors: Rodenburg Denise , Ardon Monique , Sijm-Eeken Marieke
Published: August 2024

Hospitals widely employ value-based healthcare (VBHC) to effectively manage healthcare quality. VBHC aims to maximize patient outcomes while minimizing costs by using quality measurements. The Dutch Erasmus Medical Centre experiences challenges with the time-consuming efforts to collect, evaluate, and present value-based quality measurements. Using similar VBHC measurement indicators across multiple care pathways could reduce these efforts. This study aims to identify such generic indicators for evaluating and monitoring VBHC across care pathways. A scoping review resulted in 33 articles from which indicators for VBHC measurement were extracted, aggregated and categorized using Donabedian’s Structure-Process-Outcome model. The results of this study can inform researchers and VBHC practitioners on generic quality measurement indicators for VBHC management and guide future system development to facilitate the inclusion of standardized quality indicators in healthcare information systems.
Discordance Between Mealtimes Reported by Trial Participants with Type 2 Diabetes and Healthcare Professionals
Authors: Holdt-Caspersen Nynne Sophie , Dethlefsen Claus , Hejlesen Ole , Vestergaard Peter , Hangaard Stine , Giese Iben Engelbrecht , Egmose Julie , Jensen Morten Hasselstrøm
Published: August 2024

Healthy lifestyle behaviors are essential in the treatment of type 2 diabetes, and meal registration is therefore important. Manual meal registration is cumbersome and could be automated using continuous glucose monitoring (CGM). If such an algorithm is based on patient-reported meals, potential errors might be induced. Thus, the aim was to investigate potential errors in patient-reported mealtimes and the effect on automatic meal detection. Two healthcare professionals (HCPs) reported the mealtimes of the 18 included patients based on the patients’ CGM data to assess the agreement between HCP- and patient-reported mealtimes. A developed meal detection algorithm based on detecting the post-prandial glucose response using cross-correlation was used to assess the impact of errors in patient-reported meals. The results showed poor disagreement between HCP- and patient-reported meals and that the meal detection algorithm had a moderately better performance on the HCP-reported meals. Therefore, the possibility of errors in patient-reported mealtimes should be considered in the development of meal detection algorithms. However, more research is needed to confirm the results of this study.
A Precision Oncology Platform to Support Genotype-Tailored Therapy Selection
Authors: Botsis Taxiarchis , Spiker Jonathan , Kreimeyer Kory , Fatteh Maria , Wehr Jamie , Najjar Mimi , Tao Jessica , Xian Rena , Imamovic Nicole L. , Pindzola Ander , Dobs Adrian , Canzoniero Jenna , Anagnostou Valsamo
Published: August 2024

There is a critical need for a streamlined process to identify genotype-matched individuals eligible for enrollment into clinical trials and/or targeted therapies, as current methodologies face challenges in integrating diverse molecular data sources. We have developed a precision oncology platform to assist molecular tumor boards and community oncologists in reviewing patients’ phenotypes, evaluating related knowledge, and identifying genotype-matched therapies.
Leveraging Rule-Based NLP to Translate Textual Reports as Structured Inputs Automatically Processed by a Clinical Decision Support System
Authors: Redjdal Akram , Novikava Natallia , Kempf Emmanuelle , Bouaud Jacques , Seroussi Brigitte
Published: August 2024

Using clinical decision support systems (CDSSs) for breast cancer management necessitates to extract relevant patient data from textual reports which is a complex task although efficiently achieved by machine learning but black box methods. We proposed a rule-based natural language processing (NLP) method to automate the translation of breast cancer patient summaries into structured patient profiles suitable for input into the guideline-based CDSS of the DESIREE project. Our method encompasses named entity recognition (NER), relation extraction and structured data extraction to systematically organize patient data. The method demonstrated strong alignment with treatment recommendations generated for manually created patient profiles (gold standard) with only 2% of differences. Moreover, the NER pipeline achieved an average F1-score of 0.9 across the main entities (patient, side, and tumor), of 0,87 for relation extraction, and 0.75 for contextual information, showing promising results for rule-based NLP.
Exploring Delays in Cardiac Care Processes Through Electronic Health Records
Authors: Peltonen Laura-Maria , von Gerich Hanna , Myllymäki Emmi , Walsh Julia , Medvecky Matej
Published: August 2024

Cardiovascular diseases are the leading cause of death globally. Timely health services are fundamental to the appropriate prevention, identification, care and rehabilitation of these diseases. This study aimed to explore the potential of using electronic health records as a data source to help identify health system -related delays in care processes of cardiac patients. This retrospective registry study is based on a sample of electronic health records of 200 cardiac patients admitted to one out of twenty wellbeing services counties in Finland during the years 2021–2022. A total of 426 health system -related delays were identified. All expressions were found in unstructured format and most of these (58.7%) were generated by nurses. These results show that the electronic health records contained a variety of information on health system -related patient care delays, and that most delays were associated with difficulties in finding a bed for the patient in a post-acute care facility (49.8%), but also in-hospital process delays were common (27.7%). These findings show great potential for exploring electronic health record data with natural language processing methods in the future for the development of tools to better identify and monitor different types of delays in care processes. Such tools may support leadership to respond to organisational procedures in need of improvement.
Nationwide Electronic Prescription Services in Finland in 2010–2023
Authors: Jormanainen Vesa
Published: August 2024

This research aimed to follow up a 14-year period (2010–2023) public and private healthcare service organizations’ and community pharmacies’ entries to and exits from the centralized, interoperable and shared electronic Prescription Services in Finland. Our material were the official Social Welfare and Healthcare Organization Registry and the official Pharmacy Registry; their data were extracted in January 2024. Outcomes were continuous registration of services or registered exist from the services. In addition, we used information from the Kanta Services for presenting monthly and annual number of electronic prescriptions and medicine dispensations on national level. In 2010–2023, totally 838 community pharmacies’ and their subsidiary pharmacies’ entries to and 24 exits from the nationwide Prescription Services took place, and in total 814 pharmacy outlets had the Prescription Services in production in 2023. Totally, 1980 public and private healthcare service organizations’ entries to and 494 exits from the Prescription Service took place, and 1486 organizations had the Prescription Services in production in 2023. Healthcare service organizations recorded totally 303.8 million electronic prescriptions into the Prescription Services. Recorded numbers were lower during the Covid-19 epidemic in Finland in 2020–2021. We also observed seasonal effects in the time series. Pharmacies recorded totally 660.4 million medicine dispensations (purchases) into the Prescription Services with an increasing trend year after year. We also observed seasonal effects in the dispensation time series.
Harmonization of Data Across Cohorts Using Standard Terminologies
Authors: Byun Ahjung , Sung Sumi , Yu Jiyeon , Chang Eunsuk , Park Hyeoun-Ae
Published: August 2024

Korean National Institute of Health initiated data harmonization across cohorts with the aim to ensure semantic interoperability of data and to create a common database of standardized data elements for future collaborative research. With this aim, we reviewed code books of cohorts and identified common data items and values which can be combined for data analyses. We then mapped data items and values to standard health terminologies such as SNOMED CT. Preliminary results of this ongoing data harmonization work will be presented.
HL7 FHIR in Health Research: A FHIR Specification for Metadata in Clinical, Epidemiological, and Public Health Studies
Authors: Hölter Thimo , Klopfenstein Sophie Anne Inès , Mayer Paula Josephine , Sass Julian , Thun Sylvia , Vorisek Carina Nina
Published: August 2024

This work presents the Fast Healthcare Interoperability Resources (FHIR®) specification of the NFDI4Health Metadata schema based on FHIR Version 4: We created 16 profiles to facilitate the integration of clinical, epidemiological, and public health study data. Despite challenges arising from the extensive MDS as well as missing concepts in semantic standards, it marks a significant advance in applying information technology standards to health research.
Pengaruh Promosi Dan Kualitas Pelayanan Terhadap KepuasanPelanggan Pada Pt Sicepat Expres Indonesia
Authors: Arfindo Simatupang  , Dewi Widya Chandra
Published: August 2024

Penelitian ini bertujuan untuk menganalisis promosi dan Kualitas Pelayanan terhadapkepuasan pelanggan pada pengguna Pt Sicepat Expres studi Pada Cabang Pesing Poglar.Penelitian ini dilakukan pada pelanggan Pt Sicepat Expres studi Pada Cabang PesingPoglar. Jenis penelitianini menggunakan metode kuantitatif. Teknik pengambilan sampelyang digunakan menggunakan rumus Slovin dengan jumlah sampel yang diperolehsebanyak 95 orang dan pengumpulan data dilakukan menggunakan kuesioner denganmengacu pada skala likert. Hasil penelitian ini menunjukan promosi memiliki pengaruhpositif signifikan terhadap kepuasan pelanggan dengan nilai uji hipotesis parsial diperolehthitung 11,082 > ttabel 1,984 atau nilai Sig 0,000 < 0,05 dapatdisimpulkan bahwa promosiberpengaruh kepada kepuasan pelanggan secara parsial. Kualitas pelayanan memilikipengaruh positif signifikan terhadap kepuasan pelanggan dengan nilai uji hipotesis parsialdiperoleh thitung 16,481 > ttabel 1,984 atau nilai Sig 0,000 < 0,05 dapat disimpulkanbahwa Kualitas Pelayanan berpengaruh kepada kepuasan pelanggan secara parsial promosidan kualitas pelayanan memiliki pengaruh positif signifikan terhadap kepuasan pelanggandengan nilai uji hipotesis simultan diperoleh Fhitung 163.264 > Ftabel 1,98 atau nilai Sig0,000 < 0,05 dapat disimpulkan bahwa promosi dan kepuasan pelanggan berpengaruhterhadap kepuasan pelanggan secara simultanKata Kunci: Promosi, Kualitas Pelayanan, dan Kepuasan Pelanggan
Improvement of Cooperative Empowerment of Smallholder Sugarcane Farmers through the Preparation of Standard Operating Procedures (SOP)
Authors: Suryaningrum Dwi Aryani , Shodiqin Mohammad , Kusumawati Anna , Rizal Azhari , Mustangin Muhammad , Harjanti Ratna Sri , Yunaidi Yunaidi
Published: August 2024

Cooperatives in carrying out their business processes are guided by applicable regulations and standards. Problems that often occur are generally due to changing regulations or ignorance of applicable regulations. This problem causes the cooperative to not run properly, reflecting inefficient governance. The purpose of the sugarcane farmer empowerment program is to assist and simplify the cooperative administration process by publishing a standard operating procedure book based on farmer practices in the field and applicable regulations. This is in line with realizing one of the missions of LPP Yogyakarta Polytechnic, namely organizing community service in order to disseminate information. This activity was carried out with partners from sugarcane farmers in Sleman who are members of the Sido Makmur Abadi Sugarcane Farmers Cooperative. The activity stages begin with identifying problems in the cooperative administration, followed by problem solving by compiling and publishing the SOP book, and finally disseminating SOP book information through socialization to administrators, supervisors, and sugarcane farmers who are members of the cooperative. The process of assessing the level of understanding of sugarcane farmers before and after socialization The results of empowerment show a significant increase in understanding of the SOP from the initial level of understanding of the SOP of cooperative members only 9.09% to 81.82%. Increased understanding of the SOP is expected to be implemented by sugarcane farmers so that the level of governance and performance of the cooperative becomes better than before.
Assistance with Business License Number Registration for Potential Village SME to Upgrade
Authors: Sugiartiningsih Sugiartiningsih , Dwi Larasati Rizky , Suparjiman Suparjiman , Yunan Arief , Adnan Saepul , Suarsa Abin , Erfiansyah Erfan , Kusumawati Eni , Supriatna Reren , Arum Kanti Khaerani , Anandari Ladysta Hilmiah
Published: August 2024

Micro businesses, which are the backbone of the Indonesian economy, must be legalized so that they move up a class in improving the economic welfare of the people. To make this happen, government leadership through the empowerment function by creating PIRT for Micro Enterprises. As an initial stage, Micro Businesses must register their Business Identification Number (NIB) to increase consumer confidence and facilitate business transactions. The aim of PkM is to increase the legality of Micro Businesses in Rancatungku village in the culinary, grocery and service sectors through assistance with NIB registration. The PkM implementation method is a lecture to refresh partners about the benefits of NIB in capital, legal strength, increased production and marketing. Meanwhile, for assistance with NIB registration via Online Single Submissions (OSS), a question and answer method is used which is guided by the head of the UMBandung IPR Study Center and accompanied by the PkM head, students and village government representatives through good collaboration by dividing tasks and providing supporting infrastructure for laptops, cellphones and printers. The results of the assistance have resulted in the successful issuance of four NIB certificates for Micro Business actors in the culinary and grocery sectors. It is hoped that having an NIB certificate will motivate them to move up to a higher level in the trade and entrepreneurship sectors. The ease of implementing OSS in licensing services has encouraged other sectors such as BUMDES and student businesses to be registered with NIB.
Economic Empowerment Of Communities Impacted By The Earthquake In Cianjur, West Java Through Creative Stalls Based On Snack Food
Authors: Yani Ade Vera , Murtado Asep Dodo , Idealistuti Idealistuti
Published: August 2024

The earthquake in Cianjur with a magnitude of 5.6 magnetudos, was triggered by a shift in the new fault of the Cugenang Fault. As a result, 12 sub-districts in Cianjur Regency were affected. Residents' houses were damaged, ranging from minor damage to serious damage, resulting in casualties ranging from minor injuries, serious injuries to death. Cariu Village is one of the disaster locations with a large number of victims. 12 emergency tents from the Ministry of Social Affairs of the Republic of Indonesia became shelter for 350 heads of families with a population of 1,200 people. Post-earthquake economic life is a serious matter that should be of concern to all parties. The loss of jobs for some of the earthquake victims requires immediate action so that they can immediately get out of their burden. If it is allowed to drag on, it will have implications for poor social life, increasing levels of unemployment and poverty. The activity aims to empower people affected by the earthquake through creative food stalls based on local snacks. This activity is intended for earthquake victims who previously worked as food sellers. The activity begins with data collection on prospective program participants, motivational guidance and technical guidance, to calculating product selling prices. The result was that program participants recognized the family's economic recovery, grew in self-confidence and had hope for the future.
Empowerment of Women's Groups in Increasing Income through Nugget Businesses Made from Tilapia Fish in Macang Sakti Village Musi Banyuasin
Authors: Kurniawan Rahmat , Fahmi Innike Abdillah , Alhanannasir Alhanannasir , Sari MZ Rika Puspita , Ma'ruf Irkhamiawan , Saribi Ahmad
Published: August 2024

Tilapia is one of the freshwater fish that has been successfully cultivated by the people of Macang Sakti Village. Tilapia is rich in protein, fat, carbohydrates and other micronutrients that are good for growth and health. However, the high production rate of tilapia is not accompanied by the interest of the local community. This is because people prefer to consume wild freshwater fish obtained from rivers or swamps around. To increase consumer interest in tilapia, innovation is needed in the form of processing tilapia into fish nuggets by empowering women's groups as business actors. This effort also aims to increase family economic income. The location of Community Service was carried out in Macang Sakti Village, Sanga Desa District, Banyuasin Regency, South Sumatra, on October 22-26, 2023. The methods used were survey methods, counseling, discussions and demonstrations (practices) of processing tilapia into tilapia nuggets. The implementation of the activity was attended by more than 15 participants from among housewives with great enthusiasm. The results of this community service show that community service activities can increase participants' knowledge about the nutrition and benefits of tilapia and motivate them to actively consume and become entrepreneurs in tilapia processed products in the form of tilapia nuggets.
Fish Diversity in Namang River, Bangka Tengah Regency, Bangka Belitung Province
Authors: Helmizuryani Helmizuryani , Nizar Muhammad , Khotimah Khusnul , Sari Meika Puspita , Fahmi Innike Abdillah , Robin Robin , Deniansen Tri , Swarlanda Swarlanda
Published: August 2024

The Namang River is a small river located in Central Bangka District, Bangka Belitung Province. Bangka Island is known to have high biodiversity, both plants and animals, including freshwater fish species. Based on information, there are several types of fish that are endemic fish that are only found in the Namang River. Climate change and changes in land use due to tin mining activities can threaten the survival of fish species in the Namang River. This research aims to analyze fish diversity and fish habitat conditions in the waters of the Namang River, Central Bangka, Bangka Belitung Province. Based on the research results, 15 species of fish, 1 species of shrimp and 1 species of freshwater crab were found. The species with the highest abundance are Trigonopoma gracilie and Trigonopoma pauciperforatum. Of the 15 species, three species are endemic to Bangka Island, namely Betta chloroparynx, Parosphromenus deissneri, and Betta schalleri.
The Direct Effect of Whale Shark Ecotourism on The Social Economy of The Community in Sumbawa Indonesia
Authors: Wijayanti Nila , Nurhidayati Sri , Rahayu Sri , Wulan Ayu Ieke , Edrial Edrial
Published: August 2024

This research wants to find out about the direct influence of whale shark ecotourism on the social economy of the people in Sumbawa. The study is held at the Labuhan Jambu Tourism Village, Tarano District, Sumbawa Regency, West Nusa Tenggara. Data sources were available from primary and secondary data. This research was analyzed using the Structural Equation Model-Partial Least Squares (SEM.WarpPls). The number of samples used in the study was 70 people. The research results show that the direct relationship between x1 (MSME entrepreneurs) and y1 (changes in community behavior) is significantly positive. A significant positive relationship also occurs between x2 (visitors to the Whale Shark tourist park) and y3 (community welfare). The direct relationship between x1 (MSME entrepreneurs) with y2 (changes in the community economy) and y3 (community welfare) is not significant. An insignificant relationship also occurs between x2 (visitors to the Whale Shark tourist park), y1 (changes in community behavior), and y2 (changes in the community's economy). The direct relationship between x3 (government) and x4 (stakeholders) with y1 (changes in community behavior), y2 (changes in the community economy), and y3 (community welfare) is also not significant. These results indicate that the existence of Whale Shark ecotourism does not have a direct effect on the social economy of the community.
Mensosialisasikan Bahaya Narkoba di Kelurahan Kota Bambu Selatan Jakarta Barat
Authors: Pakpahan Roy Tumpal , Hamzah Radja Erland , Toruan Rialdo Rezeky Manogari Lumban
Published: August 2024

Penyuluhan ini dilatar belakangi masih maraknya peredaran dan penyalahgunaan narkoba khususnya di wilayah kelurahan Kota Bambu Selatan. Kondisi tersebut mendorong tim dosen FIKOM Univ. Prof. Dr. Moestopo (Beragama) bekerja sama dengan Kelurahan Kota Bambu Selatan bekerja sama melakukan penyuluhan pencegahan bahaya narkoba. Salah satu hal yang menyebabkan warga Kampus Boncos yang berada di Kelurahan Kota Bambu Selatan melakukan pengedaran dan penyalahgunaan narkoba adalah kurangnya informasi tentang bahaya narkoba. Upaya yang dilakukan untuk memberikan informasi tentang bahaya narkoba adalah melalui sosialisasi yang disampaikan oleh Tim Dosen dan Kelurahan Kota Bambu Selatan. Penyuluhan ini bertujuan untuk membangun kesadaran melalui sosialisasi bahaya narkoba di Kelurahan Kota Bambu Selatan. Metode pelaksanaan pada penyuluhan ini melalui pertemuan tatap muka, diskusi, dan pemuran film serta testimoni. Dengan metode ini Tim Dosen memaparkan dan menguraikan data yang didapat, selanjutnya Tim Dosen ceramah dan membuat sesi testimoni dari para korban dan juga pihak kelurahan dan pihak BNN. Hasil penyuluahn menunjukkan bahwa peran pemerintah dan kelompok Masyarakat perlu terus-menerus melakukan sosialisasi dan pendekatan kepada warga, memberikan pelatihan kerajinan, dan bekerjasama dengan Badan Narkotika Nasional guna mencegah maraknya peredaran narkoba. Maka masalah narkoba ini dalam menanggulanginya perlu kerjasama dari berbagai komponen.
Upaya Kalnika Group Dalam Bersaing Menghadapi Era Digital
Authors: Hermansyah Febian Aulia , Hamsinah Hamsinah , Sukarni Nurul Fadzar , Benjamin Anggia Hasti , Kusadjibrata Nasrullah
Published: August 2024

Analisis Upaya Kalnika Group Dalam Bersaing Menghadapi Era Digital. Penelitian ini ditunjukan untuk mengupas bagaimana cara dan upaya yang dilakukan Kalnika Group dalam bersaing menghadapi era digital. Metode yang digunakan adalah kualitatif dengan menggunakan paradigma konstruktivis. Pada penelitian ini peneliti akan mendeskripsikan dan mengupas cara dan upaya apa saja yang dilakukan oleh Kalnika Group dalam bersaing menghadapi era digital dengan memakai teori Strategi Bersaing. Data diperoleh melalui studi pustaka, internet dan wawancara untuk mendukung hasil penelitian ini. Adapun teori yang digunakan adalah teori Strategi Bersaing. Kesimpulan dari penelitian ini merupakan deskripsi mengenai bagaimana Kalnika Group sebagai agensi iklan konvensional dapat bersaing dalam era digital dengan menggunakan strategi dan cara yang mereka pakai yaitu strategi bersaing milik Michael E. Porter, dan saran yang dapat peneliti berikan adalah bagaimana sebagai sebuah agensi iklan dapat bersaing di era digital saat ini sekalipun agensi iklan tersebut masih berkutat di dunia konvensional.
Sosialisasi Penguatan Komunikasi Keluarga Menghadapi Problem Tawuran dan Kesehatan Jiwa Bagi Perangkat Kelurahan Cililitan Jakarta Timur
Authors: Nilamsari Natalina , Liana Chendy , Sanjaya Marta
Published: August 2024

Problem tawuran dan kesehatan jiwa merupakan permasalahan yang dihadapi masyarakat dan perangkat Kelurahan Cililitan Jakarta Timur. Komunikasi keluarga dapat dijadikan support system dalam menghadapi masalah tawuran dan kesehatan jiwa. Karena itu, kegiatan sosialisasi penguatan komunikasi keluarga menjadi alternatif solusi untuk menghadapi permasalahan tersebut. Peserta kegiatan sosialisasi adalah  pengurus PKK, kader Dasawisma, Kader Kesehatan Jiwa, anggota PolPP, pengurus RW dan pengurus RT. Tahapan kegiatan sosialisasi yaitu tahap persiapan, tahap pelaksanaan sosialisasi, dan tahap pelaporan. Secara umum, para peserta kegiatan sosialisasi memahami bahwa setiap kasus tawuran dan kesehatan jiwa memiliki akar permasalahan yang berbeda sehingga cara penanggulangannya pun berbeda. Tetap diperlukan kolaborasi, koordinasi dan sinergi antara orangtua, pihak sekolah, masyarakat sekitar dan aparat penegak hukum untuk meminimalkan angka tawuran dan menghadapi problem kesehatan jiwa.
Optimalisasi Strategi Komunikasi Melalui Instagram dalam Kegiatan Desa/Kelurahan Tangguh Bencana
Authors: Widarini Dwi Ajeng , Wiyati Eni Kardi , Yuliani Hafri
Published: August 2024

Kegiatan ini bertujuan untuk meningkatkan kapasitas strategi komunikasi melalui media sosial Instagram dalam kegiatan Desa/Kelurahan Tangguh Bencana (DESTANA). Fasilitasi Penguatan Ketangguhan Masyarakat   IDRIP DESTANA dilaksanakan di empat provinsi Sumatera Barat, Bengkulu, Lampung dan Banten. Instagram digunakan sebagai salah satu media yang memiliki keragaman konten dan populer di kalangan Millenial dan gen Z. Akun @destana.wilayah1 digunakan sebagai sarana sosialisasi kegiatan program DESTANA yang berlangsung di 54 Desa/ Kelurahan di 4 provinsi. Kegiatan pengabdian masyarakat dilakukan untuk menguatkan strategi komunikasi sosialisasi kegiatan DESTANA  yang dilakukan oleh wakil koordinator bidang advokasi dan komunikasi di provinsi Bengkulu, Sumatera Barat, Lampung, dan Banten.  Hasil dari kegiatan pengabdian masyarakat ini strategi komunikasi akun Instagram @destana.wilayah1 dan akun yang dimiliki oleh masing-masing Desa/Kelurahan dapat mengoptimalkan sosialisasi mengenai kegiatan DESTANA  di masing-masing wilayah hal ini terlihat dari interaksi yang terjalin dalam akun dan tumbuhnya akun secara organik.
Peran Komunikasi dalam Penyelesaian Sengketa Pemilu
Authors: Hermawan Herry
Published: August 2024

Sengketa dapat terjadi antar peserta Pemilu dan peserta dengan penyelenggara Pemilu. Dalam menangani sengketa ini, Badan Pengawas Pemilihan Umum (Bawaslu) mengembangkan strategi komunikasi sebagai upaya solutif. Jadi, peran Bawaslu mengumpulkan dan menganalisis informasi sebelum memutuskan sengketa tersebut. Tujuan dari program ini supaya peserta memahami strategi berkomunikasi yang efektif, dan memiliki keterampilan berkomunikasi yang efektif. Peserta dari program ini yaitu para perwakilan Divisi Hukum Bawaslu Kabupaten Bekasi berjumlah 30 orang. Kegiatan ini dilakukan di Sekretariat Bawaslu Kabupaten Bekasi, Jawa Barat pada Tanggal 11 Juni 2024. Program pelatihan ini dilakukan dengan metode ceramah dan tanya jawab. Secara keseluruhan kegiatan ini dapat dikatakan berhasil. Adapun manfaat yang diperoleh oleh para peserta yaitu mereka dapat mengetahui, memahami dan menerapkan teknik berkomunikasi yang lebih baik dan diharapkan kualitas tersebut dapat dipakai sebagai poin dalam penilaian kualitas Bawaslu Kabupaten Bekasi.
RESEPSI MAHASISWA PADA K-DRAMA BUSINESS PROPOSAL DI SBS & NETFLIX
Authors: Maharani Rivanka
Published: August 2024

Business Proposal adalah drama Korea bergenre komedi romantis diadaptasi dari webtoon yang mendapatkan popularitas dan menarik banyak penonton tidak hanya dari Korea Selatan tetapi juga dari negara lain karena ditayangkan di dua saluran Seoul Broadcasting System (SBS) dan platform streaming Netflix. Mahasiswa sebagai penonton berasal dari berbagai latar belakang dan pengalaman berbeda yang dapat menciptakan persepsi seperti halnya ketika menonton drama Korea Business Proposal. Dari konteks di atas penelitian ini bertujuan untuk mengetahui bagaimana persepsi mahasiswa menonton Business Proposal di SBS Netflix dengan menggunakan metode penelitian studi resepsi. Hasil penelitian menunjukkan  persepsi mahasiswa memiliki keberagaman berdasarkan universitas, jurusan, jenis kelamin dan usia yang berbeda-beda. Dari persepsi tersebut adanya resepsi atau penerimaan mahasiswa terhadap drama Business Proposal, dari mahasiswa yang sudah membaca versi webtoon memiliki kategori penerimaan yang berbeda-beda yaitu ada yang dominan, negosiasi dan oposisi dan bagi mahasiswa yang belum membaca sebagian besar berada di posisi dominan dan negosiasi.