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All Journal Journal of Physics and Its Applications Jurnal Layanan Masyarakat (Journal of Public Service)
Prihasty, Wilda
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Humanities Astronomy Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Physics Social Sciences Other

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ROBOTICS AND ARTIFICIAL INTELLIGENCE TRAINING FOR STUDENTS IN INTENSIF TARUNA PEMBANGUNAN SENIOR HIGH SCHOOL SURABAYA Agustin, Eva Inaiyah; Nahdliyah, Sisca Dina Nur; Putri, Tesa Eranti; Prihasty, Wilda; Tunggadewi, Elsyea Adia; Arifianto, Deny; Wardhana, Ananthyo Whisnu
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 3 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i3.2025.341-351

Abstract

Artificial Intelligence is a new science that is currently being widely developed and used in all aspects to solve various tasks and problems. In advanced robotics systems, AI is used in robots to understand, reason, and act autonomously in complex environments. So far, partners still borrow robots from other agencies during robotics extracurricular activities. This community service activity aims to introduce Artificial Intelligence (AI) and robotics technology to high school students and hone students' skills and can develop extracurricular robotics. This activity is in the form of training that begins with providing material on the topic of AI and robotics. This training began with providing AI and robotics materials attended by 30 students and took place in the computer laboratory of SMA Intensive Taruna Pembangunan Surabaya (SMA ITP Surabaya). The robot used is an arm robot, a robot that is often used in industry for various tasks. To determine the increase in knowledge and skills, pre-test and post-test methods are carried out before and after the training and case studies/projects are provided at the end of the training. There was an increase in student knowledge of 18.77% and student skills as evidenced by all (10) groups being able to move the target. With this activity, SMA ITP Surabaya has a robotics module in the form of an arm robot and is able to develop and increase student interest in robotics extracurricular activities.
Rice Grain Classification using Fourier Transform Infrared Spectroscopy Technique and Laser Induced Breakdown Spectroscopy Prihasty, Wilda
Journal of Physics and Its Applications Vol 7, No 3 (2025): August 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i3.25809

Abstract

Rice is the main source of carbohydrates for Indonesian people and consumed to fulfill the nutritional needs of the body. The most commonly used method to find out nutrient content in rice grain is a chemical analysis based method that quite difficult and requires a considerable time. Therefore, spectroscopic-based measuring methods are the solution of these problems. A preliminary research is conducted to develop an accurate prediction methods of amylose, phenolic and flavonoids content, also elements contained in rice grain. Chemical analysis method used to determine of amylose, phenolic and flavonoid content then used as a validation. The predictive system is carried out using Partial Least Square (PLS) methods to determine amylose, phenolic and flavonoid content based on Fourier Transform Infrared (FTIR) spectrum. Meanwhile, Laser Induced Breakdown Spectroscopy (LIBS) used to figure out the elements contained in the rice. The Classification of rice grain using Principal Component Analysis (PCA) method based on FTIR and LIBS Spectrum.  The results of this research, obtained a prediction system to determine levels of amylose, phenolic and flavonoids with the values coefficient of determination 0.95; 0.86; 0.95 and the RMSE value 1.4; 0.72; 0.44. Based on the spectrum of LIBS obtained from 13 types of rice grain, the elements contained in the rice grain are Mg, Fe, Na, K, Ca, C, H and O. The Classification of rice grain based on FTIR and LIBS spectrum obtained, namely High Quality; Premium and Medium.
Co-Authors Agustin, Eva Inaiyah Arifianto, Deny Elsyea Adia Tunggadewi Nahdliyah, Sisca Dina Nur Tesa Eranti Putri Wardhana, Ananthyo Whisnu