Sunan Kalijaga Journal of Physics

Estimating the weight of Ongole crossbreed cattle based on image data using CNN and linear regression methods

Syahrul Fadholi Gumelar, Eca Indah Anggraini, Eca Indah Anggraini — Sun, 30 Jul 2023 00:00:00 +0700

One of the contributors to the need for food, especially meat, is the Ongole breed of cattle or commonly known as PO cattle. In these livestock activities it is necessary to monitor the weight of the cattle with the aim of assessing the selling price of the cattle and knowing the health condition of the cattle. Currently breeders are still using traditional methods such as forecasts or scales in measuring the weight of cattle. Therefore, in this study using a camera sensor as an alternative instrument for measuring cattle weight. The stages of the research included image data acquisition, pre-processing, body segmentation of cattle, weight estimation and system evaluation. The process of acquiring image data is obtained with a DSLR camera device. Pre-processing is done using a kernel sharpening filter. Cattle body segmentation uses the Mask R-CNN method. The body image of the cow is then processed for weight estimation training using the CNN and Linear Regression methods. The system evaluation results at the segmentation stage succeeded in obtaining an Intersection over Union (IoU) metric value of 0.86. The weight estimation results managed to get a RMSE metric value of 1.10, MAE metric 0.24, MAPE metric 0.06%, and R2 metric 0.99.

Analysis of Factors Affecting Period on GHS Using PhET Simulation

Yunita Ayudhia Anzani Anzani, Syahri Ramadhanti, Noval Mulya Dava — Sun, 30 Jul 2023 00:00:00 +0700

Physics is one of the sciences that is studied based on facts, natural phenomena, ideas and results of experiments/experiments. Physics is a science that is closely related to everyday life, one of which is found in Simple Harmonic Motion which discusses pendulums on clocks and strings on guitars. Simple vibrations (GHS) are an example of periodic motion when the amplitude of vibrations in the system is relatively small and the displacement is less than 15°. GHS is a regular alternating motion through the equilibrium point and the number of vibrations in one second is always constant. If the movement occurs repeatedly within a certain time interval, it is called periodic motion. One of the experiments that can be done with simple vibrations is to make a mathematical pendulum or a simple pendulum. The method used in this research to determine the factors that affect the period of pendulum vibrations is a literature review and experiments using PhET simulations. The results of this study are data generated from experiments and calculations which state that the factors that affect the period of pendulum vibrations in simple harmonic motion are the length of the rope and the acceleration due to gravity. While the mass has no effect on the period of the pendulum vibration. The effect of the length of the string is directly proportional to the period of the pendulum's vibration, and the effect of gravity is inversely proportional to the period of the pendulum's vibration.

Analysis of the Effect of Frequency on Wavelength and Sound Size in Sound Generator Experiments

Wed, 04 Oct 2023 00:00:00 +0700

Waves are one of the abstract physics materials in the world of physics and will be a separate problem in studying them. The wave superposition experiment was carried out using software using Vlab. The aim of this research is to analyze the effect of frequency changes on wave length and sound. The method used is to prepare tools and materials, namely PCs/laptops with frequencies of 100 Hz, 500 Hz, 1000 Hz, 1500 Hz and 2000 Hz. This is done for different audio frequencies as well. Then the results of the merger were opened with Audacity and then analyzed and compared with the initial wave. So that a superposition is produced that the effect of frequency on wavelength is inversely proportional, the greater the frequency issued, the smaller the resulting wavelength, while the effect of frequency on sound waves is

Literature Review: The Role of Magnetic Nanoparticles in Several Fields of Life

Lailatul Machfudhoh — Mon, 30 Oct 2023 00:00:00 +0700

There has been a lot of research on nanoparticles which have been developed for application in everyday life. One type of nanomaterial that has been discussed is magnetic nanoparticles. Some areas of life that apply magnetic nanoparticles for example are in the medical and biological fields, the field of sensors, the field of water and waste treatment, and others. The results of this literature review discuss the role of magnetic nanoparticles in everyday life.

A Artificial Intellegent algorithms for Tumor Disease Detection: systematic Literature Review

Wed, 15 Nov 2023 00:00:00 +0700

A Tumor is a swelling in the body caused by cells that multiply abnormally. Tumors or neoplasms consisting of benign tumors and malignant tumors. Benign tumors can grow larger but do not spread to other body tissues. Malignant tumors are cancers that attack the entire body and are uncontrollable. Comparison between the cell nucleus with the cytoplasm of malignant tumors, while benign tumors are the same as normal cells. Cancer cells can develop rapidly. These cells attack and damage body tissues through the bloodstream and lymph vessels so that they can grow in new places. One way to detect tumor disease is by utilizing Artificial intelligence algorithms for tumor Disease Detection. The purpose of this paper is for the development of Artificial Intellegent algorithms for the detection of tumor Diseases and optimization of Artificial Intellegent algorithms for the detection of tumor Diseases. This research uses systematic literature review by using preferred Reporting Items for Systematic Review (PRISMA). The results of screening and selection of articles obtained 64 potential articles that have met the inclusion criteria. The results showed that with earlier detection, a person can check tumor disease earlier using the help of Artificial intelligence algorithms. The results of research on the development of Artificial intelligence algorithms for detection of tumor Diseases have found Artificial intelligence algorithms that can be used to reduce the risk of tumor disease. Optimization of Artificial Intelegency algorithms for tumor classification, performing new data processing methods such as artificial intelligence can be selected to provide the accuracy of classification and diagnosis, exploration of detection limits is a very important aspect in tumor diagnosis based on SERS, finding improved and suitable nanoparticle substrates so as to significantly improve the original Raman signal.