Measurement of palm oil viscosity after heat treatment has been done. The sample is palm oil packaging and bulk ones Falling body method is used as an instrument to determine the coefficient of viscosity which had previously been calibrated using water and REFPROP. The measurement results showed that the coefficient of viscosity of palm cooking oil that has been used 10 times for 30 minuted will rise by 76% for oil packs A and about 45% for a sample of bulk, respectively. For palm oil used once but its has been using for one hour, the viscosity will be comparable to 6 times the use of the cooking oil used for 30 minutes. Thus based on the masurement of viscosity value, the palm oil will have a viscosity values are relatively small when used often, but in a short time than is used only once, but in a relatively longer.
<p class="Abstract">Early detection of lung cancer will definitely help the patients in treating the illness precisely and as early as possible. One of the methods used to detect lung cancer is through CT scan examination. The images from CT scan will show the cancer area of lung describing the severity of lungs affected by cancer. However, the conventional method is often not accurate. Therefore, this research aims to determine the area of cancer by segmenting the lung organs affected by cancer using Image-J software. The edge detection method was employed to segment an image. The results show that by using the proposed method, the largest cancer area is obtained in the seventh slice with the area of 15.39 cm<sup>2</sup> and the smallest cancer area is obtained in the first slice with the area of 1.52 cm<sup>2</sup>. Whereas by using the convetional method, the largest cancer area is obtained in the fourth slice with the area of 20.57 cm<sup>2</sup> and the smallest cancer area is obtained in the teenth slice with the area of 3.52 cm<sup>2</sup>. The area of lung cancer in each CT Scan slice determined using ImageJ software is more accurate than the conventional method. For that reason, the proposed technique is potential to improve the accuracy of a medical image analysis.</p>
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