[ABSTRAK
Post Operastive Nausea and Vomiting (PONV) adalah akibat yang sering terjadi padapasien yang dilakukan tindakan operasi. Skor risiko untuk memprediksi kejadianPONV digunakan sebagai cara untuk mengklasifikasikan pasien sesuai denganprediksi risiko. Penelitian ini dilakukan untuk melihat keakuratan antara skor Apfeldan skor Koivuranta dalam memprediksi PONV. Mual dan muntah post operasidikaji dengan menggunakan Rhodes Index Vomiting, Nausea and Retching (RINVR).Desain penelitian yang digunakan adalah metode deskriptif, rancangan studi crosssectional analitik. Berdasarkan perhitungan rumus tunggal untuk estimasi proporsisampel yang digunakan berjumlah 80 pasien yang akan menjalani tindakan operasi.Hasil penelitian skor Apfel memiliki sensitivitas (0,92) dan spesifitas (0,92) lebihtinggi dibandingkan dengan skor koivuranta, skor Apfel memiliki akurasi 0,9. Skorapfel adalah skor prediksi PONV yang sederhana dengan sensitivitas tinggi sangatcocok digunakan di tatanan klinik untuk menskrining mual dan muntah pada pasienpost operasi. Setelah diketahui skor prediksi dapat ditentukan penanganan yang tepatmencegah PONV.

---

ABSTRACT
Post Operastive Nausea and Vomiting (PONV) is a common consequence in patientswho underwent surgery. Risk score to predict the incidence of PONV is used as away to classify patients according to risk prediction. This study was performed to seethe accuracy of the Apfel scores and Koivuranta scores in predicting PONV.Postoperative nausea and vomiting was assessed using the Rhodes Index NauseaVomiting, and Retching (RINVR). The design of study used is descriptive, crosssectionalanalytical study design. Based on the calculation of a single formula toestimate the proportion of samples used were 80 patients undergoing surgery. Theresults of the study Apfel score had a sensitivity (0.92) and specificity (0.92) is higherthan the Koivuranta score, Apfel has an accuracy score of 0.9. Score predictionscore PONV apfel is simple with high sensitivity is very suitable to be used in orderclinics to screen nausea and vomiting in postoperative patients. Once knownprediction score can be determined proper treatment to prevent PONV;Post Operastive Nausea and Vomiting (PONV) is a common consequence in patientswho underwent surgery. Risk score to predict the incidence of PONV is used as away to classify patients according to risk prediction. This study was performed to seethe accuracy of the Apfel scores and Koivuranta scores in predicting PONV.Postoperative nausea and vomiting was assessed using the Rhodes Index NauseaVomiting, and Retching (RINVR). The design of study used is descriptive, crosssectionalanalytical study design. Based on the calculation of a single formula toestimate the proportion of samples used were 80 patients undergoing surgery. Theresults of the study Apfel score had a sensitivity (0.92) and specificity (0.92) is higherthan the Koivuranta score, Apfel has an accuracy score of 0.9. Score predictionscore PONV apfel is simple with high sensitivity is very suitable to be used in orderclinics to screen nausea and vomiting in postoperative patients. Once knownprediction score can be determined proper treatment to prevent PONV;Post Operastive Nausea and Vomiting (PONV) is a common consequence in patientswho underwent surgery. Risk score to predict the incidence of PONV is used as away to classify patients according to risk prediction. This study was performed to seethe accuracy of the Apfel scores and Koivuranta scores in predicting PONV.Postoperative nausea and vomiting was assessed using the Rhodes Index NauseaVomiting, and Retching (RINVR). The design of study used is descriptive, crosssectionalanalytical study design. Based on the calculation of a single formula toestimate the proportion of samples used were 80 patients undergoing surgery. Theresults of the study Apfel score had a sensitivity (0.92) and specificity (0.92) is higherthan the Koivuranta score, Apfel has an accuracy score of 0.9. Score predictionscore PONV apfel is simple with high sensitivity is very suitable to be used in orderclinics to screen nausea and vomiting in postoperative patients. Once knownprediction score can be determined proper treatment to prevent PONV, Post Operastive Nausea and Vomiting (PONV) is a common consequence in patientswho underwent surgery. Risk score to predict the incidence of PONV is used as away to classify patients according to risk prediction. This study was performed to seethe accuracy of the Apfel scores and Koivuranta scores in predicting PONV.Postoperative nausea and vomiting was assessed using the Rhodes Index NauseaVomiting, and Retching (RINVR). The design of study used is descriptive, crosssectionalanalytical study design. Based on the calculation of a single formula toestimate the proportion of samples used were 80 patients undergoing surgery. Theresults of the study Apfel score had a sensitivity (0.92) and specificity (0.92) is higherthan the Koivuranta score, Apfel has an accuracy score of 0.9. Score predictionscore PONV apfel is simple with high sensitivity is very suitable to be used in orderclinics to screen nausea and vomiting in postoperative patients. Once knownprediction score can be determined proper treatment to prevent PONV]