Design and development of Android-Based Clinic Service Application: myclinic
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Published:
May 31, 2024
Keywords:
Clinic Service, Healthcare, Innovative, Mobile Application
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Informtion System
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Abstract
This research addresses the pressing need to enhance healthcare accessibility and efficiency, particularly in the context of increasing demands and challenges in the healthcare sector. The background problem lies in the limited accessibility and inefficiencies present in traditional healthcare systems, exacerbated by factors such as geographical constraints and resource limitations. To overcome these challenges, this study introduces MyClinic, an innovative application designed to streamline healthcare processes and improve access to clinic service. Utilizing structured methodologies including BPMN, ERD, Use Case Diagram, and Class Diagram, MyClinic is systematically developed to offer clear functionality. Through Black Box Testing, the application's functionality is rigorously validated, demonstrating compliance with specifications and ensuring user satisfaction. By addressing these issues, MyClinic aims to revolutionize healthcare delivery, offering a solution that is efficient, accessible, and user-friendly. This research highlights the critical role of technology in addressing healthcare challenges and underscores the potential of innovative solutions like MyClinic to transform healthcare delivery in the digital age
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How to Cite
Christanto, H. J. ., Sutresno, S. A. ., Rudyanto, R. S. ., Prihanto, P. K. ., Artpinkan, T. H., Othernima, D. C. and Alvalent, D. . (2024) “Design and development of Android-Based Clinic Service Application: myclinic”, Jurnal Mantik, 8(1), pp. 142-152. doi: 10.35335/mantik.v8i1.4969.
References
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Corradini, F., Ferrari, A., Fornari, F., Gnesi, S., Polini, A., Re, B., & Spagnolo, G. O. (2018). A Guidelines framework for understandable BPMN models. Data & Knowledge Engineering, 113, 129-154. doi:https://doi.org/10.1016/j.datak.2017.11.003
Cvetkovi?, J., & Cvetkovi?, M. (2019). Evaluation of UML diagrams for test cases generation:Case study on depression of internet addiction. Physica A: Statistical Mechanics and its Applications, 525, 1251-1359. doi:https://doi.org/10.1016/j.physa.2019.03.101
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Dewi, C., Chen, A. P., & Christanto, H. J. (2023). Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model. Big Data and Cognitive Computing, 7(1), 53.
Dewi, C., Zendrato, J., & Christanto, H. J. (2024). Original Research Article Improvement of support vector machine for predicting diabetes mellitus with machine learning approach. Journal of Autonomous Intelligence, 7(2). doi:https://doi.org/10.32629/jai.v7i2.888
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El-Attar, M. (2019). Evaluating and empirically improving the visual syntax of use case diagrams. Journal of Systems and Software, 156, 36-163. doi:https://doi.org/10.1016/j.jss.2019.06.096
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Ferdinand, J. P., Christanto, H. J., & Sereati, C. O. (2023). Designing a Website-Based Cooperative Application. Jurnal Elektro, 16(2), 86-97. doi:https://doi.org/10.25170/jurnalelektro.v16i2.5139
Han, K., & Zo, H. (2023, September). Understanding the mobile healthcare applications continuance: The regulatory focus perspective. International Journal of Medical Informatics, 177, 105161. doi:https://doi.org/10.1016/j.ijmedinf.2023.105161
Hassen, M. B., Turki, M., & Gargouri, F. (2022). Extending BPMN Models with Sensitive Business Process Aspects. Procedia Computer Science, 207, 2968-2979. doi:https://doi.org/10.1016/j.procs.2022.09.355
Lee, N.?J., Ahn, S., & Lee, M. (2022). The effects of a mobile application for patient participation to improve patient safety. Health Expect, 25(4), 1601-1618. doi:https://doi.org/10.1111%2Fhex.13503
Luqman, M., & Khan, S. U. (2021, December ). Geospatial application to assess the accessibility to the health facilities in Egypt. The Egyptian Journal of Remote Sensing and Space Science, 24(3), 699-705. doi:https://doi.org/10.1016/j.ejrs.2021.02.005
Pashazadeh, A., & Navimipour, N. J. (2018, June). Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review. Journal of Biomedical Informatics, 82, 47-62. doi:https://doi.org/10.1016/j.jbi.2018.03.014
Pufahl, L., Zerbato, F., Weber, B., & Weber, I. (2022). BPMN in healthcare: Challenges and best practices. Information Systems, 107, 102013. doi:https://doi.org/10.1016/j.is.2022.102013
Qudah, B., & Luetsch, K. (2019, June). The influence of mobile health applications on patient - healthcare provider relationships: A systematic, narrative review. Patient Education and Counseling, 102(https://doi.org/10.1016/j.pec.2019.01.0216), 1080-1089. doi:https://doi.org/10.1016/j.pec.2019.01.021
Setiyani, L. (2021). Desain Sistem : Use Case Diagram. Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi, 1, pp. 246-260.
Susan D. Birkhoff PhD, R., & Helene Moriarty PhD, R. F. (2020). Challenges in mobile health app research: Strategies for interprofessional researchers. Journal of Interprofessional Education & Practice, 100325. doi:https://doi.org/10.1016/j.xjep.2020.100325
Sutresno, S. A., Christanto, H. J., Singgalen, Y. A., Denis, D., Kevin, J., & Mavish, S. (2023). Design and Development of a Mobile Application for Social Assistance. Journal of Information Systems and Informatics, 5(4), 1257-1273. doi:https://doi.org/10.51519/journalisi.v5i4.573
Sutresno, S. A., Christanto, H. J., Singgalen, Y. A., Saputra, E., Farabi, B. D., Rig, B. A., . . . Hutapea, O. (2024). User interface and user experience design for the TB. berkat rezeki website. Jurnal Mantik, 7(4), 2962-2973. doi:https://doi.org/10.35335/mantik.v7i4.4526
Thesing, T., Feldmann, C., & Burchardt, M. (2021). Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project. Procedia Computer Science, 181, 746-756. doi:https://doi.org/10.1016/j.procs.2021.01.227
Togatorop, P. R., Simanjuntak, R. P., Manurung, S. B., & Silalahi, M. C. (2021). GENERATING ENTITY RELATIONSHIP DIAGRAM FROM REQUIREMENT SPECIFICATION USING NATURAL LANGUAGE PROCESSING FOR INDONESIAN LANGUAGE. J-Icon : Jurnal Komputer dan Informatika, 9(2), 196-206. doi:https://doi.org/10.35508/jicon.v9i2.5051
Ardhianto, P., Santosa, Y. P., Moniaga, C., Utami, M. P., Dewi, C., Christanto, H. J., & Chen, A. P. (2023). Generative deep learning for visual animation in landscapes design. Scientific Programming. doi:https://doi.org/10.1155/2023/9443704
Chen, P.-T., Lin, C.-L., & Wu, W.-N. (2020, August ). Big data management in healthcare: Adoption challenges and implications. International Journal of Information Management, 53, 102078. doi:https://doi.org/10.1016/j.ijinfomgt.2020.102078
Chilton, M. A. (2006). Data Modeling Using Entity Relationship Diagrams: A Step-Wise Method. Journal of Information Systems Education, 17(4), 385-394.
Chinosi, M., & Trombetta, A. (2012, January). BPMN: An introduction to the standard. Computer Standards & Interfaces, 34(1), 124-134. doi:https://doi.org/10.1016/j.csi.2011.06.002
Christanto, H. J., Sutresno, S. A., Bata, J. V., Sihombing, D. J., Prihanto, P. K., & Linestyo, D. V. (2024). PELATIHAN PENGGUNAAN SISTEM INFORMASI GEREJA BERBASIS ANDROID PADA GIA PURWODADI KABUPATEN GROBOGAN. RESWARA: Jurnal Pengabdian Kepada Masyarakat, 5(1), 119-127. doi:https://doi.org/10.46576/rjpkm.v5i1.3707
Christanto, H. J., Sutresno, S. A., Denny, A., & Dewi, C. (2023). USABILITY ANALYSIS OF HUMAN COMPUTER INTERACTION IN GOOGLE CLASSROOM AND MICROSOFT TEAMS. Journal of Theoretical and Applied Information Technology, 101(16), 6425-6425.
Corradini, F., Ferrari, A., Fornari, F., Gnesi, S., Polini, A., Re, B., & Spagnolo, G. O. (2018). A Guidelines framework for understandable BPMN models. Data & Knowledge Engineering, 113, 129-154. doi:https://doi.org/10.1016/j.datak.2017.11.003
Cvetkovi?, J., & Cvetkovi?, M. (2019). Evaluation of UML diagrams for test cases generation:Case study on depression of internet addiction. Physica A: Statistical Mechanics and its Applications, 525, 1251-1359. doi:https://doi.org/10.1016/j.physa.2019.03.101
Delgado, A., Calegari, D., García, F., & Weber, B. (2022). Model-driven management of BPMN-based business process families. Software and Systems Modeling, 21, 2517–2553. doi:https://doi.org/10.1007/s10270-022-00985-3
Dewi, C., Chen, A. P., & Christanto, H. J. (2023). Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model. Big Data and Cognitive Computing, 7(1), 53.
Dewi, C., Zendrato, J., & Christanto, H. J. (2024). Original Research Article Improvement of support vector machine for predicting diabetes mellitus with machine learning approach. Journal of Autonomous Intelligence, 7(2). doi:https://doi.org/10.32629/jai.v7i2.888
Elallaoui, M., Nafil, K., & Touahni, R. (2018). Automatic Transformation of User Stories into UML Use Case Diagrams using NLP Techniques. Procedia Computer Science, 130, 42-49. doi:https://doi.org/10.1016/j.procs.2018.04.010
El-Attar, M. (2019). Evaluating and empirically improving the visual syntax of use case diagrams. Journal of Systems and Software, 156, 36-163. doi:https://doi.org/10.1016/j.jss.2019.06.096
Felício, D., Simão, J., & Datia, N. (2023). RapiTest: Continuous Black-Box Testing of RESTful Web APIs. Procedia Computer Science, 219, 537-545. doi:https://doi.org/10.1016/j.procs.2023.01.322
Ferdinand, J. P., Christanto, H. J., & Sereati, C. O. (2023). Designing a Website-Based Cooperative Application. Jurnal Elektro, 16(2), 86-97. doi:https://doi.org/10.25170/jurnalelektro.v16i2.5139
Han, K., & Zo, H. (2023, September). Understanding the mobile healthcare applications continuance: The regulatory focus perspective. International Journal of Medical Informatics, 177, 105161. doi:https://doi.org/10.1016/j.ijmedinf.2023.105161
Hassen, M. B., Turki, M., & Gargouri, F. (2022). Extending BPMN Models with Sensitive Business Process Aspects. Procedia Computer Science, 207, 2968-2979. doi:https://doi.org/10.1016/j.procs.2022.09.355
Lee, N.?J., Ahn, S., & Lee, M. (2022). The effects of a mobile application for patient participation to improve patient safety. Health Expect, 25(4), 1601-1618. doi:https://doi.org/10.1111%2Fhex.13503
Luqman, M., & Khan, S. U. (2021, December ). Geospatial application to assess the accessibility to the health facilities in Egypt. The Egyptian Journal of Remote Sensing and Space Science, 24(3), 699-705. doi:https://doi.org/10.1016/j.ejrs.2021.02.005
Pashazadeh, A., & Navimipour, N. J. (2018, June). Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review. Journal of Biomedical Informatics, 82, 47-62. doi:https://doi.org/10.1016/j.jbi.2018.03.014
Pufahl, L., Zerbato, F., Weber, B., & Weber, I. (2022). BPMN in healthcare: Challenges and best practices. Information Systems, 107, 102013. doi:https://doi.org/10.1016/j.is.2022.102013
Qudah, B., & Luetsch, K. (2019, June). The influence of mobile health applications on patient - healthcare provider relationships: A systematic, narrative review. Patient Education and Counseling, 102(https://doi.org/10.1016/j.pec.2019.01.0216), 1080-1089. doi:https://doi.org/10.1016/j.pec.2019.01.021
Setiyani, L. (2021). Desain Sistem : Use Case Diagram. Prosiding Seminar Nasional Inovasi dan Adopsi Teknologi, 1, pp. 246-260.
Susan D. Birkhoff PhD, R., & Helene Moriarty PhD, R. F. (2020). Challenges in mobile health app research: Strategies for interprofessional researchers. Journal of Interprofessional Education & Practice, 100325. doi:https://doi.org/10.1016/j.xjep.2020.100325
Sutresno, S. A., Christanto, H. J., Singgalen, Y. A., Denis, D., Kevin, J., & Mavish, S. (2023). Design and Development of a Mobile Application for Social Assistance. Journal of Information Systems and Informatics, 5(4), 1257-1273. doi:https://doi.org/10.51519/journalisi.v5i4.573
Sutresno, S. A., Christanto, H. J., Singgalen, Y. A., Saputra, E., Farabi, B. D., Rig, B. A., . . . Hutapea, O. (2024). User interface and user experience design for the TB. berkat rezeki website. Jurnal Mantik, 7(4), 2962-2973. doi:https://doi.org/10.35335/mantik.v7i4.4526
Thesing, T., Feldmann, C., & Burchardt, M. (2021). Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project. Procedia Computer Science, 181, 746-756. doi:https://doi.org/10.1016/j.procs.2021.01.227
Togatorop, P. R., Simanjuntak, R. P., Manurung, S. B., & Silalahi, M. C. (2021). GENERATING ENTITY RELATIONSHIP DIAGRAM FROM REQUIREMENT SPECIFICATION USING NATURAL LANGUAGE PROCESSING FOR INDONESIAN LANGUAGE. J-Icon : Jurnal Komputer dan Informatika, 9(2), 196-206. doi:https://doi.org/10.35508/jicon.v9i2.5051
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