Gangguan fungsi tiroid seringkali sulit diidentifikasi karena gejalanya tidak spesifik. Gejala gangguan tiroid sangat mirip dengan berbagai keluhan akibat gaya hidup modern sehingga sangat sering diabaikan. Akibatnya pasien seringkali tidak menyadari ada masalah dan tidak memeriksakan diri ke dokter. Untuk itu, diperlukan sebuah penelitian yang menerapkan metode untuk memprediksi penyakit tersebut yang nantinya akan mempermudah pasien dalam mendiagnosa dan deteksi dini terhadap kadar tiroid. Penelitian ini bertujuan untuk melakukan prediksi terhadap penyakit tiroid dengan data yang digunakan adalah data sekunder yang diperoleh dari UCI repository, data ini berisi tentang data pasien yang terkena penyakit tiroid, sedangkan metodenya menggunakan algoritma J48 karena dalam beberapa penelitian, algoritma J48 terbukti memiliki performa yang baik dalam mendeteksi suatu penyakit, serta menghasilkan nilai accuasy dan AUC yang tinggi. Tahapan analisa data dilakukan berdasarkan metode CRISP-DM sedangkan pengujian algoritma dilakukan dengan tools Weka. Hasil dari pengujian tersebut diperoleh nilai akurasi sebesar 99.645%, dan nilai AUC sebesar 0,992 dengan demikian akurasi memiliki tingkat Excellent Classification.
A doctor's prescription is a doctor's written request to the pharmacist to prepare and give medicine to the patient. Prescriptions are made according to the needs of the patient after the doctor has examined and diagnosed the patient. However, doctor's writing on a prescription that considered unclear can cause errors when compounding/preparing the drug and using prescribed drugs. In fact, the cure rate and life expectancy of patients is directly proportional to the administration of the right medicine. This study aims to prevent errors in the process of identification of prescription drugs by pharmacists. The technology used is cloud computing with the implementation of QR Code. The QR Code contains patient examination information including patient data, prescription drugs, and diagnoses, so that when the pharmacist scans the QR Code, the system will display all patient information that has been inputted by the doctor at the time of the examination. The results obtained from the implementation of this application at the Rapha Farma Pharmacy is the applications effective for tackling errors in reading doctor's prescriptions that can save patients from medication errors.
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