Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Perbedaan Kategori Kejadian Banjir Terhadap Kerusakan Infrastruktur dan Kelayakan Sanitasi Berdasarkan Provinsi di Indonesia Witanto, Steffany Marcellia; Fatmala, Friza Nur; Sakhi, Difta Alzena; Nasrudin, Muhammad; Trimono
Emerging Statistics and Data Science Journal Vol. 3 No. 2 (2025): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol3.iss.2.art11

Abstract

Banjir merupakan bencana alam yang dapat menyebabkan kerugian dalam berbagai aspek. Untuk menganalisis dampak frekuensi banjir terhadap berbagai variabel secara serentak, digunakan metode One-Way MANOVA. Metode ini memungkinkan pengujian perbedaan rata-rata lebih dari satu variabel dependen berdasarkan satu faktor independen. Hasil penelitian membuktikan bahwa setiap kategori kejadian banjir memiliki perbedaan yang signifikan pada setidaknya satu variabel independen, baik jumlah rumah rusak, panjang jalan rusak (km), ataupun persentase sanitasi layak di Indonesia. Dengan demikian, frekuensi banjir dapat menjadi faktor penting dalam menganalisis tingkat kerusakan infrastruktur dan sistem sanitasi di wilayah terdampak. Hasil penelitian ini dapat dijadikan acuan dalam perumusan strategi mitigasi bencana serta perencanaan tata ruang sehingga mampu meminimalkan risiko banjir di masa mendatang.
CIRCLE: A digital platform for circular food waste management in achieving sustainable food security Auralia, Karina; Dewi, Ni Luh Ayu Nariswari; Witanto, Steffany Marcellia; Trimono
Journal of Sustainability, Society, and Eco-Welfare Vol. 3 No. 2: January (2026)
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jssew.v3i2.2026.2436

Abstract

Background: Food loss and waste (FLW) pose a major global challenge, threatening food security, economic stability, and environmental sustainability. In Indonesia, despite abundant resources, inefficiencies in production and distribution still lead to significant waste and nutritional inequality. Overcoming this issue requires an integrated and sustainable system that improves redistribution efficiency. Supported by digital innovations such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, the circular economy approach offers a strategic solution. In response, the CIRCLE platform was developed as a smart and sustainable digital system for food redistribution. Methods: This study uses a descriptive method through a literature review to identify theories, concepts, and best practices on circular economy, based digital platforms for reducing FLW. Secondary data from scientific publications and institutional reports were analyzed to form the conceptual basis for designing the CIRCLE (Circular Utilization of Food Resources) platform. Findings: The literature emphasizes the importance of multi-stakeholder collaboration and the application of AI, IoT, and data analytics to develop efficient and sustainable food distribution systems. The implementation of user-centered design and gamification is also recommended to enhance user engagement and awareness. Conclusion: The CIRCLE platform represents an innovative and sustainable digital solution to reduce food waste, strengthen food security, and foster collaboration toward achieving SDG 2 and SDG 12 in Indonesia. Novelty/Originality of this article: This study introduces the CIRCLE platform as a distinctive integration of circular economy principles and digital technologies, including AI, IoT, and gamification, within a unified system for reducing food loss and waste in Indonesia.