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Pendampingan Program Konservasi Lingkungan melalui Tabung Biopori, Pupuk Organik, dan Daur Ulang Plastik di Desa Rangdumulya Ramadhan, Muhammad Ragil; Mubarok, Yoga Ulya; Nisah, Firda Ainun
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 1 (2025): Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.11.1.123-132

Abstract

The community of Rangdumulya Village faces challenges in processing agricultural and household waste. Sustainable waste management can overcome these issues using biopore tubes, organic fertilizers, and plastic recycling. The purpose of this community service activity is to achieve zero waste in Rangdumulya Village in the form of a clean, healthy environment and a community that is independent in managing waste. The method used consisted of three stages: preparation, socialization, and training. The biopore tube activity on January 11, 2024, with 46 participants, increased knowledge by 39.13%, and eight out of nine groups successfully created biopores tubes. The activity of making liquid organic fertilizer on January 16, 2024, with 34 participants, increased knowledge by 33.33%, and four out of five groups successfully created liquid organic fertilizer. Plastic recycling activity on January 20, 2024, with 73 participants, increased knowledge by 34.22%, and 16 out of 18 groups successfully processed plastic recycling. This indicates that the people of Rangdumulya Village understood the activities that were taught. The Rangdumulya community has successfully carried out this environmental conservation activity independently through two monitoring sessions over two months post-activity.
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.