This study aims to optimize the implementation of the K-Nearest Neighbors (K-NN) algorithm for medical image classification by focusing on selecting the optimal KKK parameter and applying dimensionality reduction techniques to improve accuracy and efficiency. The data used was sourced from public medical image repositories such as The Cancer Imaging Archive (TCIA) and Medical Image Analysis datasets, covering various diseases, including brain tumors, lung cancer, and kidney lesions. The research process involves data collection, data preprocessing, dimensionality reduction using Principal Component Analysis (PCA), applying the K-NN algorithm with Euclidean, Minkowski, and Cosine distance metrics, and performance evaluation using accuracy, precision, recall, and F1-score. Experimental results demonstrate that K=5with the Euclidean distance metric provides the best performance, achieving an accuracy of 90%. Additionally, PCA effectively reduces computational time by 30% without significantly compromising accuracy. This study proves that K-NN is an effective method for medical image classification. However, further research is needed to integrate K-NN with deep learning models to enhance performance and feature extraction capabilities.

The low students' avarage number of mathematical critical thinking skills in class VIII SMPN 1 Candung ranged from 82.14% to 89.29%. To overcome this problem, researchers tried to conduct research by applying the EXO OLO TASK learning model in learning mathematics. This type of research is pre-experimental research with the research design The Static Group Comparison Design. The population in this study were all students of class VIII SMPN 1 Cawang. The samples in this study were students of class VIII.2 as the experimental class and VIII.1 as the control class. The instrument in this study was a test of students' mathematical critical thinking skills in the form of an essay test. The results of the study using the t-test obtained t_count=1.92 > t_table=1.674, so H0 was rejected. For Minitab software testing at a significant level of a = 0.05, Pvalue = 0.002 is obtained, meaning Pvalue <a, so H0 is also rejected. So it can be concluded that students' mathematical critical thinking skills using the EXO OLO TASK learning model are better than students' mathematical critical thinking abilities using conventional learning in class VIII SMPN 1 Cdungung.

Maraknya klub motor di Indonesia mengakibatkan banyak pula kegiatan dalam klub tersebut. Kegiatan tersebut yaitu seringnya berkendara dengan intensitas yang lama yang melibatkan aktivitas pergelangan tangan yang monoton dan manuver tangan. Carpal Tunnel Syndrome (CTS) ialah suatu gangguan neuropati di pergelangan tangan yang sering terjadi pada komunitas motor di Pekanbaru. Tujuan dilakukan penyuluhan agar para komunitas motor dapat mengetahui cara penanganan dan pencegahan pada nyeri pergelangan tangan. Penyuluhan dilakukan oleh mahasiswa program alih jenjang fisioterapi Universitas Muhammadiyah Surakarta pada komunitas klub motor di Pekan baru menggunakan metode kuisioner pre dan post untuk mendapatkan data peserta, penyuluhan diberikan secara daring. Materi yang diberikan berupa pemahaman terkait pencegahan dan penanganan yang dapat dilakukan pada nyeri pergelangan tangan. Latihan yang diberikan berupa stretching exercise dan nerve & tendon gliding. Hasil dari penyuluhan setelah diberikan materi stretching exercise dan nerve & tendon gliding, peserta dalam komunitas motor di Pekanbaru dapat memahami bagaimana cara mencegah dan penanganan untuk mengurangi risiko terhadap nyeri pergelangan tangan atau carpal tunnel syndrome.