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All Journal Indonesian Journal of Chemical Science and Technology Khatulistiwa : Journal of Artificial Intelligence
Anna Sakila
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology

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Pancasila-Based AI Ethics: Preventing Digital Manipulation and Deepfakes in Society Anna Sakila; Maulidiah Yasmin; Nidaurrohmah; Royhan Ammar Sulthon
Khatulistiwa SMART: Science, Methodology, Artificial intelligence, Research, and Technology Vol 1 No 2 (2025): Juni 2025
Publisher : Khatulistiwa : Journal of Artificial Intelligence

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Abstract

Deepfake is an artificial intelligence technology that is developing very rapidly and has a major impact on all aspects such as the industrial sector, education, and digital communications. In the surge in the use of Deepfake, it is not free from its misuse which can harm many people without discrimination. The absence of regulations that specifically regulate the use of Deepfake and AI technology in Indonesia has caused the legal system to be unable to quickly anticipate technological advances. Education that has not yet instilled digital ethics skills has also caused Indonesia to be a country behind in the readiness of AI regulations and ethics. The many problems and negative impacts that arise, this reality shows that the development of policies and digital ethics approaches have not been able to keep up with the development of AI technology and still need a lot of improvement. Therefore, this study aims to overcome the existing shortcomings by offering an AI ethics approach based on noble values ​​in Indonesia. Pancasila as the foundation of the state includes principles such as humanity, social justice, deliberation, and responsibility, which are very appropriate to face ethical challenges in this digital era. This study uses descriptive qualitative methods and non-participatory observation. This study examines the spread of Deepfake content on digital platforms and offers a Pancasila-based ethical framework to address the challenges of AI use. The findings show that Deepfake content is mostly used for non-consensual pornography, political manipulation, and digital fraud. Low digital literacy and the absence of specific regulations exacerbate social impacts such as polarization and loss of public trust. Pancasila, with its principles of humanity, unity, deliberation, and justice, can be the ethical foundation for strengthening regulation, education, and technology in the development of responsible and inclusive AI.
The Effect of Acids, Bases and Salts in Removing Rust Using the Electrolysis Method Kurniawan, Ekin Dwi Arif; Moondra Zubir; Alfira Julian Pratiwi; Rafidah Almira Samosir; Mutia Ardila; Agnes Aprilyani Br Silitonga; Anna Sakila; Dindy Louiza Pangaribuan; Geby Mai Irawan; Okta Miranda Samosir; Vivy Cintia Laudia Hutagaol
Indonesian Journal of Chemical Science and Technology (IJCST) Vol. 8 No. 2 (2025): JULY 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ijcst.v8i2.68718

Abstract

Corrosion is a natural process of metal deterioration caused by chemical or electrochemical reactions with the surrounding environment, and it commonly occurs in iron and steel. This study examined the use of electrolysis as a simple method to reduce rust on iron surfaces by applying several electrolyte solutions. The solutions tested included sodium chloride, citric acid, acetic acid, sodium bicarbonate, and water, each at a concentration of 10%, while citric acid was also varied up to 100%. Electrolysis was performed for 10 to 30 minutes on both positive and negative poles. The findings showed that sodium chloride solution gave the highest effectiveness in rust removal, with 0.93% rust loss on the negative pole and 0.58% on the positive pole. Increasing solution concentration and treatment time further improved the rust removal rate, reaching 2.50% at 30 minutes.
Co-Authors Agnes Aprilyani Br Silitonga Alfira Julian Pratiwi Dindy Louiza Pangaribuan Geby Mai Irawan Kurniawan, Ekin Dwi Arif Maulidiah Yasmin Moondra Zubir Mutia Ardila Nidaurrohmah Okta Miranda Samosir Rafidah Almira Samosir Royhan Ammar Sulthon Vivy Cintia Laudia Hutagaol