Proses absensi yang dilakukan secara manual dinilai kurang efektif karena terbukanya kesempatan melakukan kecurangan. Selain itu, proses rekapitulasi manual membutuhkan waktu yang lama. Sistem absensi dengan teknologi dapat diterapkan untuk membantu proses absensi dan rekapitulasi yang efektif. Pada tugas akhir ini, teknologi yang digunakan adalah sistem pengenalan wajah. Pembuatan aplikasi absensi dengan pengenalan wajah ini menggunakan metode Eigenface untuk melakukan proses pengenalan wajah. Sedangkan data-data yang dibutuhkan sistem adalah data mata kuliah, dosen, jadwal, kelas, mahasiswa, dan dataset foto wajah yang disimpan dalam sistem manajemen relasional basis data. Hasil dari aplikasi yang dibangun yaitu dapat mengelola data-data pada sistem, serta melakukan pencatatan dan perekapan data absensi. Proses absensi mahasiswa berhasil dilakukan pada kondisi pencahayaan yang bagus dan resolusi yang sama dengan kondisi foto wajah yang disimpan dalam basis data.
Abstract. This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit.The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value.To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.
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