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All Journal Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Journal of Technology and System Information
Findawati , Yulian
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Mathematics Physics

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The Effect of Carbon on Chitosan-ZnO Composites as Fabric Mask Coating Materials Mauliana, Metatia Intan; Findawati , Yulian; Hanum, Galuh Ratmana
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 20 No. 2 (2023): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v20i2.12651

Abstract

Increasing the effectiveness of cloth masks can reduce the use of disposable medical masks which creates a new waste problem. In this research, the synthesis of zinc oxide nanoparticles was carried out using the precipitation method through the reaction between zinc nitrate and phosphoric acid as one of the ingredients in the chitosan-ZnO/C composite mixture. The carbon source is obtained from activated coconut shell carbon using sodium hydroxide. X-ray diffractometer (XRD) testing was carried out to determine the phase content of the synthesized carbon powder. XRD testing was also carried out on synthesized ZnO particles to determine the occurrence of phase transformations and to determine the quantitative and qualitative characteristics of the material. Fourier Transform Infrared testing was also carried out to observe functional group bonds formed in carbon compounds. Composite materials that have been successfully made will then be tested for hydrophobicity by calculating the contact angle. The results of this study indicate that the synthetic base material has been successfully carried out and the composite has been successfully made. The highest water contact angle is 106o was found in the chitosan/ZnO composite sample with a ratio of 2:1 and a mass variation of 0.05 gr active carbon.
The Implementation of Android-Based Expert System Using Forward Chaining Method for Diagnosing Cat Diseases Sholihuddin, Ahmad Ahyar; Azizah , Nuril Lutvi; Findawati , Yulian; Mauliana, Metatia Intan
Journal of Technology and System Information Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v1i1.2144

Abstract

The use of mobile devices is increasingly popular due to their user-friendly nature and portability. Expert systems are a component of artificial intelligence that can solve problems typically encountered by experts in determining diagnoses based on specific symptoms. Cats are captivating animals with adorable behaviors, which is why many people choose to have them as pets. As cat owners, it is important for humans to have knowledge about various diseases that can affect cats, as well as preventive measures and treatments to avoid negative impacts on the surrounding environment. The objective of this research is to develop an Android-based expert system application using the forward chaining method to diagnose cat diseases. The development of this system utilizes Android Studio software and employs blackbox testing for evaluation. Based on the research findings, it can be concluded that the implementation of the Android-based expert system application using the forward chaining method functions well, based on the questionnaire completed by 10 cat owners with 5 provided questions. The average result from the user satisfaction questions that have been presented is 88%. The system validation also yielded a result of 80% from 5 tests conducted with users. This application can also help alleviate the workload of veterinarians and cat owners in diagnosing cat diseases, although it cannot replace the role of a veterinarian.
Co-Authors Azizah , Nuril Lutvi Galuh Ratmana Hanum Mauliana, Metatia Intan Sholihuddin, Ahmad Ahyar