Puspitasari, Dhevi (2025) Implementasi Dempster Shafer dan Interval Fuzzy Type-2 (IT2FLS) untuk Diagnosis Awal dan Tingkat Keparahan Penyakit Kulit pada Kucing. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Skin disease is one of the most common health problems in cats, especially in tropical regions such as Indonesia. Many people keep cats because of their affectionate nature and relatively easy care, but attention to their health is often lacking. This condition makes cats vulnerable to skin diseases, while veterinary clinic examinations require considerable cost and time. This study aims to develop an early diagnosis system for cat skin diseases using artificial intelligence methods. The Dempster–Shafer method is employed to classify the type of skin disease with the aid of a decision tree, while the severity level of the disease (mild, moderate, severe) is determined using the Interval Type-2 Fuzzy Logic System (IT2FLS). The evaluation was carried out using 100 medical record data from Easy Pet Care Veterinary Clinic in Tulungagung. The experimental results show that the Dempster–Shafer method achieved 92% accuracy in disease type classification, while IT2FLS achieved 85% accuracy in determining severity level. These findings indicate that the developed system can provide sufficiently accurate early diagnosis along with additional information regarding disease severity, thereby assisting both cat owners and veterinarians in making more precise and efficient treatment decisions.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) | ||||||||||||
| Depositing User: | Dhevi Puspitasari | ||||||||||||
| Date Deposited: | 15 Sep 2025 06:44 | ||||||||||||
| Last Modified: | 15 Sep 2025 06:44 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/43399 |
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