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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Keperawatan dan Kesehatan Jurnal Peduli Masyarakat Indonesian Journal of Global Health research Community Empowerment Jurnal Manajemen Pemasaran dan Perilaku Konsumen Jurnal Keperawatan dan Kesehatan (JKK) Jurnal Keperawatan Jurnal Riset Keperawatan dan Kesehatan Jurnal Al-Hikmah Way Kanan
Amrullah, Syahid
Sekolah Tinggi Ilmu Keperawatan Muhammadiyah Pontianak
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Decision Sciences, Operations Research & Management Dentistry Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : Indonesian Journal of Global Health research

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Expert System Technology Using Forward Chaining Method to Assess the Risk Level of Diabetic Foot Infection: Original Research Pratama, Kharisma; Pradika, Jaka; Amrullah, Syahid; Jais, Suriadi
Indonesian Journal of Global Health Research Vol 6 No 5 (2024): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v6i5.4275

Abstract

Assessment and care of diabetic feet should always be provided to patients periodically to optimally prevent complications. This necessitates a practical guide that nurses can use to evaluate the risk of wounds in diabetic patients. Previous research has developed protocols for assessing the risk of diabetic foot ulcers; however, these protocols are manual, requiring nurses to spend time determining the risk level of wounds. The aim of this study is to develop a Web-Based Diabetic Foot Infection Risk Scale Application using the Forward Chaining Method. This research utilizes the Stetler model for evidence-based application development. The development process involves three stages: preparation, validation, and analysis. In the first stage, researchers conduct a literature review using literature review protocols and source scientific articles and books, followed by the development of a web-based application using the forward chaining method. There were 19 research articles recruited from three data base scientific (PubMed, Scopus, and Wiley online Library) from 2014-2024. In the second stage, experts will evaluate the content of the application concerning infection risk assessment. Finally, the application is tested. The results of this study have shown that, after testing, the Web-Based Expert System for Diabetic Foot Infection Risk Determination using the forward chaining method can be used and implemented directly by nurses working in diabetic foot care specialty clinics. This research represents an initial stage focusing on assessing infection risk levels, and it is hoped that future research will build upon this study, not only assessing infection risk but also evaluating the potential for diabetic foot ulcers based on assessed risk factors.
Reliability Analysis of A Web-Based Expert System Using Forward Chaining for Assessing Diabetic Foot Ulcer Infection Risk Pratama, Kharisma; Amrullah, Syahid; Pradika, Jaka; Jais, Suriadi
Indonesian Journal of Global Health Research Vol 7 No 4 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i4.6342

Abstract

A web-based expert system application using the Forward Chaining method has been developed to assist medical professionals in determining the risk scale of diabetic foot infection. Diabetic foot ulcers are a serious complication that requires early detection and accurate risk assessment to prevent further complications such as amputation. The reliability of this application needs to be evaluated to ensure its consistency and dependability in providing medical recommendations. This study aims to analyze the reliability of a web-based expert system application using the Forward Chaining method in determining the risk scale of diabetic foot infection. This research employs a quantitative approach, collecting data from 50 respondents who evaluated four main aspects of the application: Usefulness, Ease of Use, Ease of Learning, and Satisfaction. Reliability analysis was conducted using Cronbach's Alpha with the assistance of SPSS software. The analysis results show a Cronbach's Alpha value of 0.950, indicating that the application has excellent reliability. All four measured aspects are consistent in assessing the application's quality. The web-based expert system application using the Forward Chaining method developed for determining the risk scale of diabetic foot infection has excellent reliability. The application can be relied upon to provide consistent and accurate recommendations in medical risk assessment. A web-based expert system application using the Forward Chaining method has been developed to assist medical professionals in determining the risk scale of diabetic foot infection. Diabetic foot ulcers are a serious complication that requires early detection and accurate risk assessment to prevent further complications such as amputation. The reliability of this application needs to be evaluated to ensure its consistency and dependability in providing medical recommendations. This study aims to analyze the reliability of a web-based expert system application using the Forward Chaining method in determining the risk scale of diabetic foot infection. This research employs a quantitative approach, collecting data from 50 respondents who evaluated four main aspects of the application: Usefulness, Ease of Use, Ease of Learning, and Satisfaction. Reliability analysis was conducted using Cronbach's Alpha with the assistance of SPSS software. The analysis results show a Cronbach's Alpha value of 0.950, indicating that the application has excellent reliability. All four measured aspects are consistent in assessing the application's quality. The web-based expert system application using the Forward Chaining method developed for determining the risk scale of diabetic foot infection has excellent reliability. The application can be relied upon to provide consistent and accurate recommendations in medical risk assessment.
Co-Authors Amelia, Lince Amelyadi, Amelyadi Annisa Rahmawati Ari Saputra, Ari Astuti Purnamawati, Ditha Cau Kim Jiu Cau Kim Jiu Cau Kim Jiu Dwi Ariani, Desti Gusti Jhoni Putra, Gusti Jhoni Hartono Hartono Haryanto Haryanto Indri Erwhani Junaidi Junaidi Kardiatun, Tutur Kholiqoh, Nurul Kurniawati, Riska Lukita, Yenni Mardiyani, Ridha Maria Magdalena Pameria, Anita Paramitha, Nurul Patama, Kharisma Pradika, Jaka Pratama, Kharisma Puspita, Dinarwulan Rahmad Kurniawan Ramadhan, Rizki Akbar Ramadhaniyati, Ramadhaniyati Sa'adah, Nurul Sa’adah, Nurul Siswanto, Muhammad Ikhwan Sofiani, Yani Sumarna, Felisianus Suriadi Jais Surohit Surohit, Surohit Usman Usman Usman Usman Vicky F Sanjaya Wuriani Wuriani Wuriani Wuriani Wuriani, Wuriani