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The Effectiveness of Polysilicone Coated Chitosan-Nanosilver as a Disinfectant in Drinking Water Treatment Processes Nisah, Firda Ainun; Winarsih, Neneng; Nuraini, Umi; Mubarok, Yoga Ulya; Ramadhan, Muhammad Ragil; Febrian, Faris Diaztu
Indonesian Journal of Environmental Management and Sustainability Vol. 9 No. 1 (2025): March
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2025.9.1.12-19

Abstract

 The need for clean and safe drinking water is increasing, so innovative disinfection methods are needed. This study evaluates the effectiveness of Polysilicone coated with Chitosan-Nanosilver (PCAg) as a disinfectant for drinking water treatment. The synthesis process involves the reduction of silver nitrate (AgNO3) with sodium citrate, which is then combined with chitosan in an acetic acid solution to produce a stable mixture of nanoparticles. This solution was then impregnated into polysilicone foam to create a functional filter media. The experimental results showed that the PCAg were able to effectively remove bacterial contaminants, including Escherichia coli and Total Coliform, from the distilled drinking water samples from 4 CFU/100mL to 0 CFU/100 mL, as per the quality standard of the Ministry of Health of the Republic of Indonesia number 2 of 2023. Analysis of the SEM-EDX characterization method showed an evenly distributed Chitosan-Nanosilver coating on the polysilicone surface, evidenced by the detection of 1.31% Nanosilver and an increase in carbon percentage from 40.16% to 44.98%. In addition, analysis of the FTIR characterization method showed the presence of peaks indicating alkane vibrations, aromatic rings, ester groups, and amine groups typical of chitosan. This indicates that chitosan has been coated on polysilicone. This study concludes that the coating process enables optimal interaction between chitosan, silver nanoparticles, and polysilicone, thus enhancing the antibacterial properties of the material. Thus having a significant ability to eliminate bacteria.
Integration of Artificial Intelligence in Digital Whistleblowing Systems to Enhance the Effectiveness of Internal Government Supervision Nugraha, Billy; Rohimah, Ima; Harits, Muhammad Fauzan; Nabillah, Salsa; Mubarok, Yoga Ulya
Jurnal Inspektorat Vol. 1 No. 2 (2025): Jurnal Inspektorat
Publisher : Inspektorat Kabupaten Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64527/inspektorat.v1i2.56

Abstract

The effectiveness of internal government supervision remains a crucial issue, as manual reporting systems often delay case detection and lack risk prioritization. Previous studies have mainly focused on reporting mechanisms without integrating Artificial Intelligence (AI) for adaptive data analysis. This research formulates how AI integration in digital whistleblowing systems can enhance the effectiveness and responsiveness of internal supervision. This is a system development study with a locus in local government. Data were obtained through simulation of 1,000 anonymized supervision reports, analyzed using Natural Language Processing and machine learning techniques. The results show an 86% accuracy in high-risk report classification and a 71% reduction in detection time. These findings reveal novelty in using AI for automated report triage. The study recommends a gradual implementation of such systems in regional inspectorates to strengthen transparency and accountability in local government.