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Komparasi Algoritma Nonparametrik untuk Klasifikasi Citra Wajah Berdasarkan Suku di Indonesia Hartono, Seno; Perwitasari, Anggi; Sujaini, Herry
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 6, No 3 (2020): Volume 6 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v6i3.43268

Abstract

Klasifikasi merupakan metode data mining yang berfungsi untuk mengatur dan mengkategorikan data pada kelas yang berbeda-beda. Penelitian ini bertujuan untuk membandingkan dan menentukan algoritma nonparametrik terbaik dalam pengklasifikasian citra wajah. Dalam proses pengklasifikasian, penelitian ini menggunakan algoritma klasifikasi nonparametrik yaitu k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Decision Tree, dan AdaBoost Untuk mengklasifikasikan citra wajah penduduk Indonesia yang berasal dari suku Batak, Dayak, Jawa, Melayu, dan Tionghoa. Penelitian ini menggunakan Orange Data Mining Tool sebagai alat bantu untuk melakukan proses data mining. Dari hasil pengklasifikasian dengan menerapkan algoritma k-Nearest Neigbor, Support Vector Machine, Decision Tree, dan AdaBoost, SVM memberikan nilai akurasi yang lebih baik dibanding algoritma lainnya. Rata-rata nilai precision keempat algoritma tersebut berturut-turut adalah Support Vector Machine 37.5%, diikuti oleh algoritma k-Nearest Neighbor 31.55%, AdaBoost 30.25%, dan untuk Decision Tree 29.75%.
Motivation and Employee Engagement Approach to the Performance of Inpatient Nurses Hartono, Seno; Hartiti, Tri; Astuti, Rahayu
Media Keperawatan Indonesia Vol 8, No 2 (2025)
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Nurse performance in inpatient wards is a key factor in determining the quality of hospital services. Effective motivation and employee engagement are crucial strategies for improving employee morale and loyalty. The objective of the research is to analyze the influence of work motivation and employee engagement levels on nurse performance in the inpatient wards of a Regional Public Hospital (RSUD). This research used the quasi-experimental pre-post test with a control group design, where the intervention group was given motivation training for 2 days, modules, and mentoring, while the control group was only given modules, with a total sample of 160, 80 nurse respondents in the intervention group, and 80 nurse respondents in the control group. Data analysis using paired sample T-tests and independent sample T-tests. There is a difference in the average increase in nurse performance before and after being given employee engagement motivation (p-value = 0.000). There is a difference in the increase in nurse performance after being given training, modules, and motivational mentoring in the intervention group of 35.36 compared to the control group given the motivation module of 11.1 (p-value = 0.000). meaning there is a significant influence after being given employee engagement motivation training on improving nurse performance in the intervention group. Nurse motivation and employee engagement in providing nursing care are effective in improving the performance of inpatient ward nurses in hospitals.