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All Journal International Journal of Technology and Education Research Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Eduardus Gerry Henri
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Certainty Factor vs. Dempster-Shafer: Evaluating Accuracy in an Android Expert System for Tilapia Disease Diagnosis Christy Mahendra; Putu Samuel Prihatmajaya; Eduardus Gerry Henri; Jonathan Brian Wijaya; Agnes Florentina Santoso; Suyudi
International Journal of Technology and Education Research Vol. 3 No. 03 (2025): July - September, International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i03.2006

Abstract

This study aims to develop an Android-based expert system to help fish farmers detect diseases in tilapia (Oreochromis niloticus) quickly and accurately. This system implements two inference methods, namely Certainty Factor (CF) and Dempster-Shafer (DS), which are then compared to assess their effectiveness and accuracy in the diagnosis process. The research was conducted in Purwonegoro Subdistrict, Banjarnegara Regency, which is one of the centers of tilapia farming in Central Java.The knowledge base in this system is compiled based on disease symptom data obtained from interviews with experts and scientific literature references. The developed Android application allows users to enter symptoms that appear on fish to get diagnosis results along with confidence levels and treatment suggestions. System testing is carried out using real case data from the field, and the diagnosis results are compared with evaluations by experts.The results show that both methods are able to provide fairly accurate diagnoses. The Certainty Factor method excels in terms of speed and simplicity in calculation, while the Dempster-Shafer method is better able to handle uncertainty from non-specific symptom combinations. The accuracy of the Dempster-Shafer method is slightly higher than the Certainty Factor, but the difference is not statistically significant.This expert system is expected to be a practical solution for fish farmers in identifying diseases early on, thus supporting the increase in productivity and efficiency of tilapia farming in the research area.
Pengukuran Kualitas Pengalaman Pengguna dan Ketepatan Diagnosa Sistem Pakar untuk Penyakit Ikan Nila Berbasis Android Christy Mahendra; Putu Samuel Prihatmajaya; Suyudi; Eduardus Gerry Henri; Agnes Florentina Santoso; Jonathan Briant Wijaya
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10739

Abstract

This study aims to evaluate the user experience quality and diagnostic accuracy of an Android-based expert system application developed to assist in diagnosing diseases in tilapia fish. The evaluation employed the User Experience Questionnaire (UEQ) and the Certainty Factor (CF) approach. UEQ results indicate that the application delivers a highly satisfying user experience, with the highest scores on stimulation (1.68) and attractiveness (1.60), both categorized as Excellent. These results suggest that the application provides an engaging and enjoyable interactive experience. Other dimensions such as clarity (1.34), efficiency (1.37), accuracy (1.18), and novelty (1.20) fall into the Good category, indicating the system is intuitive, functional, and reliable, though there is still room for improvement.In terms of expert system performance, the Certainty Factor method successfully delivered relevant diagnostic results. Tricodiniasis emerged as the primary diagnosis with 100% confidence based on the user's selected symptoms. However, the appearance of several other diseases with similarly high confidence scores indicates the existence of overlapping symptoms across different conditions. This highlights the importance of using probabilistic approaches to manage uncertainty in disease diagnosis. Overall, the application demonstrates strong performance in user interface design, user interaction, and expert system accuracy, making it suitable as a supporting tool for diagnosing tilapia fish diseases
Co-Authors Agnes Florentina Santoso Jonathan Brian Wijaya Jonathan Briant Wijaya mahendra, christy Putu Samuel Prihatmajaya Suyudi