Chicken Egg Fertility Identification using FOS and BP-Neural Networks on Image Processing

This article aims to test FOS (first-order statistical) in extracting features of embryonated eggs. This test uses the initial step of image processing to get the best input image in feature extraction. The image processing method starts from the image acquisition process, then improves with image preprocessing and segmentation. Image acquisition in this study uses the concept of egg candling in a dark place captured with a smartphone camera. The acquisition results are improved by image preprocessing using gray scaling, image enhancement (by Histogram Equalization), and segmentation of chicken egg image. The segmentation results were extracted using FOS with five parameters: mean, entropy, variance, skewness, and kurtosis. Based on the calculation of these parameters, it is graphed and shows the difference in patterns between fertile and infertile eggs. However, some eggs have a similar pattern, thus affecting the identification process. The identification process used neural networks by the backpropagation method for training and testing. The training results provide an accuracy value of 100% of all training data; however, 80% of the new test data obtained test results at testing. This test is carried out with 100 data, 50 each for training and test data. Based on the test results, which significantly affect the level of accuracy is the feature extraction method. FOS pattern in detecting the fertility of chicken eggs by BP Neural Network is still categorized as low, so it is necessary to improve methods to get maximum results.</jats:p

ANALYSIS OF MEN'S VOLLEYBALL VOLLEYBALL UNDERPASS SKILLS IN SETRAK JAYA, SERDANG BEDAGAI REGENCY IN 2019/2020

This research is a descriptive quantitative research. Quantitative descriptive research means that this research only wants to describe or describe the situation that was ongoing at the time of the research and does not intend to test the hypothesis. The method used in this research is a survey method with technical tests and measurements. The population of this study were all male volleyball players setrak Jaya, Serdang Bedagai Regency in 2019/2020, totaling 16&#x0D; Players. While the sample of this study were male volleyball players who took part in volleyball training, totaling 16 players. To measure the volleyball underpass skills of the male players in Serdang Bedagai Regency in 2019/2020 using the Volleyball Skills Test instructions from the Center for Physical Fitness and Recreation of the Ministry of National Education in 2009, instructions for the volleyball Passing skills test. The results showed that Under the men's volleyball hit hit Serdang Bedagai Regency in 2019/2020, the underpass ability of the male players hit the hit Serdang Bedagai Regency is in the "Enough" category because there are already several students who can pass correctly but there are also some students who are still doing errors in doing the passing, the students' mistakes in doing the passing are the students have not been able to make the ball cross the net, because the position of the feet when passing the ball is not on target. This can be seen from the calculation of the data that has been obtained as follows: the "very poor" category is 0% (0 players), the "less" category is 25% (4 players), the "enough" category is 56.25% (9 players ), the "good" category was 18.75% (3 players) "very good" at 0% (0 players)</jats:p

Implementasi Jaringan Syaraf Tiruan Model Perceptron Untuk Klasifikasi Karir Alumni SMKN 1 Glagah 2018

Alumni SMKN 1 Glagah tepatnya pada jurusan teknik elektronika industri 2018 memiliki karir yang berbeda-beda, ada yang bekerja dan ada juga yang berkuliah. Untuk memantau karir para alumni maupun para siswa yang akan lulus, pihak sekolah tentunya memerlukan suatu metode untuk mengklasifikasikan karir mereka secara efisien dan akurat. Digunakanlah sebuah metode jaringan syaraf tiruan dengan bantuan aplikasi Matlab. Jaringan syaraf tiruan yang dirancang dengan menggunakan algoritma perceptron ini nantinya dapat memberikan sebuah hasil keputusan dalam mengklasifikasikan karir alumni elektronika industri 2018 SMKN 1 Glagah.&#x0D; Kata Kunci : Jaringan Syaraf Tiruan, Algortima Perceptron, Matlab, Variabel dan Keputusan.</jats:p

Pelatihan Proses Mencipta Tari Melalui Pengelolaan Gerak dan Pemanfaatan Digital Audio Software di Lembaga Budaya Aceh Nusantara, Banda Aceh

Proses mencipta tari tidak dapat mengenyampingkan gerak sebagai media utama ungkap tari. Sehingga diperlukan pengalaman empiris dalam proses kreatif mencipta diantaranya pengetahuan mendasar teoritik dan kemampuan praktik dalam pengelolaan gerak serta unsur pendukungnya. Pengetahuan dan wawasan ilmu koreografi dirasakan perlu diberikan kepada Lembaga non formal seperti komunitas/sanggar seni sebagai bentuk sinergi antar instansi dalam upaya pemajuan kebudayaan yang tercantum pada UU No.5 tahun 2017 tentang Pemajuan Kebudayaan. Artikel ini merupakan bagian dari Pengabdian Kepada Masyarakat yang melibatkan Lembaga Budaya Aceh Nusantara (Buana). Prioritas masalah mitra adalah minimnya wawasan dan keterampilan sumber daya manusia (SDM) yang dimilki dalam proses mencipta karya baru, khususnya tari inovatif yang bersumber dari seni tradisi. Solusi pemecahan masalah mitra dilakukan dalam bentuk pelatihan meliputi pelatihan pengelolaan gerak tari dan proses mencipta musik iringan tari dalam bentuk transfer keterampilan atau pemberian pengalaman mencipta bersama. Pelatihan dilakukan dengan metode pendekatan koreografi Jacqueline Smith dan proses mencipta musik iringan melalui teknik pengolahan digital audio software. Metode pelatihan meliputi: perencanaan (planning), pelaksanaan (acting), pemantauan (monitoring atau observing), penilaian (reflecting atau evaluating). Dari hasil pelatihan terlihat peningkatan kemahiran peserta dalam pengelolaan gerak dan pemanfaatan audio software dalam proses mencipta tari. Di sisi lain modul pelatihan menjadi bahan bacaan yang senantiasa dapat dimanfaatkan komunitas sebagai rujukan dan panduan dalam latihan mandiri. Pelaksanaan pelatihan diharapkan berdampak signifikan dalam meningkatkan produktifitas mencipta tari di Lembaga Buana</jats:p

Detection of Chicken Egg Embryos using BW Image Segmentation and Edge Detection Methods

This study aims to identify chicken egg embryos with the concept of image processing. This concept uses input and output in images. Thus the identification process, which was originally carried out using manual observation, was developed by computerization. Digital images are applied in identification by various image preprocessing, image segmentation, and edge detection methods. Based on these three methods, image processing has three processes: image grayscaling (convert to a grayscale image), image adjustment, and image enhancement. Image adjustment aims to clarify the image based on color correction. Meanwhile, image enhancement improves image quality, using histogram equalization (HE) and Contrast Limited Adaptive Histogram Equalization methods (CLAHE). Specifically for the image enhancement method, the CLAHE-HE combination is used for the improvement process. At the end of the process, the method used is edge detection. In this method, there is a comparison of various edge detection operators such as Roberts, Prewitt, Sobel, and canny. The results of edge detection using these four methods have the SSIM value respectively 0.9403; 0.9392; 0.9394; 0.9402. These results indicate that the SSIM values ​​of the four operators have the same or nearly the same value. Thus, the edge detection method can provide good edge detection results and be implemented because the SSIM value is close to 1.00 (more than 0.93). Image segmentation detected object (egg and embryo), and the continued process by edge detection showed clearly edge of egg and embryo.</jats:p

Estimating oil palm water usage in peat soils using sap flow technique

Abstract Massive issues on significant water used by oil palm trees suggest further estimation of water exploited by oil palm trees. This research employed sap flow technique using thermal dissipation probes (TDP), compared to Penman-Monteith equation as the benchmark. Water utilization by plants was studied through evapotranspiration, to investigate their water footprint and water productivity. Field study was carried out in a 17 year old oil palm plantation in Siak, Riau, Indonesia. Sap flow measurement was carried out on the 17th frond over sapric peat soil during 7th January - 18th March 2019. Water used from 19th oil palm was 40.97±6.63 L day−1 equals to 0.51±0.083 mm day−1 (mean ±SD). While, estimation based on Penman-Monteith equation was 286.3 ± 64.078 L day−1 equals to 3.58±0.80 mm day−1 (mean ±SD). Total accumulated water from Penman-Monteith equation (286.3 L day−1) was considerably higher than the one from sap flow measurement (41 L day−1). The result showed that water footprint from 17 year old oil palm tree based on sap flow and Penman-Monteith equation was 0.204 and 1.43 m3 kg−1 fresh fruit bunches respectively. While water productivity estimated from sap flow was 0.70 kg m−3 while Penman-Monteith equation achieved 4.89 kg m−3.</jats:p