Abstract:This study aims to analyze the production process in increasing the production capacity of red bricks at UD. Alwin, located in Hilinaa Village, Gunungsitoli District. The focus of the study is directed at the production…
stages starting from clay processing, molding, drying, to firing, as well as improvement efforts made to increase production capacity. The research method used is a qualitative method with data collection techniques through observation, interviews, and documentation. The results of the study indicate that the production process implemented by UD. Alwin is still dominated by the use of manual tools and traditional methods. This has an impact on limited production capacity and high dependence on weather conditions, especially in the drying stage. The main obstacles faced are weather factors, limited labor, and minimal modernization of production equipment. However, the synergy between the owner and employees in identifying problems and formulating solutions is a major strength in maintaining business continuity. Overall, improvements in the production process have been proven to have a positive impact on increasing production capacity, although not optimal. Thus, this study concludes that the increase in red brick capacity at UD. Alwin is greatly influenced by the effectiveness of production process management. The recommendations given are the need for innovation in the use of appropriate technology, improving workforce skills, and more efficient work time management to support business desires and competitiveness.
Abstract:Abstract: In today's technological developments, digital images are a medium that is often used to store a person's identity. Digital images are currently widely used for data security needs. On the other hand, images can…
n also be used as a medium for tapping data. Today's digital media provide many things in manipulating and changing the information contained in these images. In this study, the authors conducted a study to examine similarities in digital images so that it could be seen whether the information was authentic or not. detecting image similarities can help find out information whether the image is the same as the original object or not. The method used in this research is the Eigen Face method. The face eigen method is a method that can be used to check and match the similarities of an image. With the eigenface value, Figure 1, Figure 2, Figure 3, it can be determined that with other eigenface values can be determined based on the eigenface matrix values obtained from each image. Based on the values obtained from Figures 1, 2, and 3, it can be concluded that the eigenface method is able to present facial similarities with a presentation value of 80%.
Keywords: Eigenface; Face Recognation; Images; Images Processing
Abstrak: Dalam perkembangan teknologi saat ini, gambar digital merupakan media yang sering digunakan untuk menyimpan identitas seseorang. Gambar digital saat ini banyak digunakan untuk kebutuhan keamanan data. di sisi lain, gambar juga dapat digunakan sebagai media penyadapan data. Media digital saat ini menyediakan banyak hal dalam memanipulasi dan mengubah informasi yang terdapat pada gambar tersebut. Dalam penelitian ini penulis melakukan penelitian untuk menelaah kemiripan pada citra digital sehingga dapat diketahui apakah informasi tersebut otentik atau tidak. Mendeteksi kemiripan citra dapat membantu mengetahui informasi apakah citra tersebut sama dengan objek aslinya atau tidak. Metode yang digunakan dalam penelitian ini adalah metode Eigen Face. Metode eigen wajah merupakan metode yang dapat digunakan untuk mengecek dan mencocokkan kemiripan suatu citra. Dengan nilai eigenface, Gambar 1, Gambar 2, Gambar 3, dapat ditentukan bahwa dengan nilai eigenface lainnya dapat ditentukan berdasarkan nilai matriks eigenface yang diperoleh dari masing-masing citra. Berdasarkan nilai yang diperoleh dari Gambar 1, 2, dan 3, dapat disimpulkan bahwa metode eigenface mampu menghadirkan kemiripan wajah dengan nilai presentasi 80%..
Kata kunci: Citra; Eigenface; Pengolahan Citra Digital; Pengenalan Wajah