Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi pengolahan citra digital guna mendukung pencatatan jam kerja engineer secara efisien, khususnya pada Divisi HISD di PT Multipolar Technology. Aplikasi ini menggunakan metode Euclidean Distance dalam proses pengenalan wajah untuk kebutuhan absensi karyawan. Sistem dirancang agar dapat berfungsi secara optimal sebagai alat pengarsipan data lokal tanpa menimbulkan gangguan teknis maupun operasional. Selain itu, aplikasi ini diharapkan mampu menyediakan data yang andal untuk mendukung perhitungan KPI dan menganalisis beban kerja individu. Aplikasi dibangun menggunakan bahasa pemrograman Python dengan integrasi pustaka OpenCV, InsightFace, dan database Redis. Hasil pengujian menunjukkan bahwa sistem mampu mengenali wajah dengan akurat serta mempermudah proses pencatatan timesheet, sehingga dapat meningkatkan produktivitas dan pemantauan kinerja.
 
Kata kunci: Face Recognition, Euclidean Distance, Python.

Colorectal cancer is a malignant epithelial tumor originating from colorectal mucosa. Clinicopathology factors including age, gender, location, histopathological type, differentiation, depth of invasion, lymph node metastasis, and lymphovascular invasion are known affect the prognosis. This study aims to determine the clinicopathological characteristics of colorectal cancer at Anatomical Pathology Laboratory RSUP. Dr. M. Djamil Padang in 2017-2020 This study was descriptive observational with total sampling technique from medical records. Samples included all colorectal cancer patients in 2017-2020 who were fulfilled inclusion criteria, with total 251 samples. The results showed that the most patiens were female (52.2%), the age group were > 50 years (66.1%), mostly located in the rectosigmoid (71.7%). Most of the histopathological types were adenocarcinoma (79.7%), with low grade differentiation (88.8%). More than a half of tumor invasion was at T3 (58.2%). Mainly metastatic status to lymph nodes was Nx (54.2%) and lymphovascular invasion were positive in 60% samples that included the lymphovascular invasion examination. The conclusion of this study is most of colorectal cancer in Anatomical Pathology Laboratory RSUP. Dr. M. Djamil Padang in 2017-2020 are in advanced stage, Early detection needs to be done so that colorectal cancer can be diagnosed at an early stage.