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All Journal Medical Technology and Public Health Journal
Saiful Bukhori Saiful Bukhori
Master of Public Health Sciences, University of Jember
Environmental Science Health Professions Nursing Public Health

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The DESIGN OF AN ANDROID-BASED LUNG DISEASE SCREENING EXPERT SYSTEM AND PATIENT EARLY WARNING USING THE FORWARD CHAINING METHOD AT WALUYO JATI, KRAKSAAN HOSPITAL Pandan wangi Pandan; Al Munawir Al Munawir; Saiful Bukhori Saiful Bukhori
TEKNOLOGI MEDIS DAN JURNAL KESEHATAN UMUM Vol 6 No 2 (2022): Medical Technology and Public Health Journal September 2022
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/mtphj.v6i2.3487

Abstract

This aims of study were design and create an android-based lung disease screening expert system and patient early warning using the forward chaining method at Waluyo Jati Kraksaan Hospital. This study used a mixed methods approach, namely descriptive qualitative and quantitative descriptive. In this descriptive qualitative research design used case study and the quantitative descriptive research design uses a survey. This research used the forward chaining method and model development using the Waterfall model. Based on the accuracy test table, it can be concluded that the Android-based lung disease diagnosis expert system uses the Forward chaining method. The ISO/IEC 9126 standard test uses two aspects, namely the usability aspect of 83.45% and the Functionality aspect of 85.1%. The certainly factor for the confidence value can be identified quite well. This is evidenced by the results of testing the system accuracy of 96.43%. An Android-based lung diagnostic expert system was built to provide identification conclusions in accordance with the thoughts of an expert, namely a lung specialist.
Co-Authors Al Munawir Pandan wangi Pandan