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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Sylva Lestari Policy Brief Pertanian, Kelautan, dan Biosains Tropika
Iriyani, Silfi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Social Sciences

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Detection of Indonesian wildlife sales and promotion through social media using machine learning approach Lestarini, Dinda; Rusdy, Taufiqurrahman; Iriyani, Silfi; Raflesia, Sarifah Putri
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5418

Abstract

Social media is one of the communication media that is widely used in the digital era as it is today. The use of social media allows people who are far apart to communicate and exchange media, both voice, video, and images quickly and even in real-time. In the past, the sale of protected animals was mostly done on the black market, usually involving a supply chain between sellers that usually existed in traditional markets or certain communities. With the existence of social media, the trend in conducting transactions and promoting wild animals has shifted from traditional to modern thanks to the support of existing technology. Protected wild animals are of concern to the local government or the global world to protect their existence. Therefore, this research proposes a machine learning (ML) based approach to detect the promotion and sale of wild animals on social media. The implementation of Naïve Bayes classifier (NBC) has a high accuracy in detecting trade in wild animals on social media with an accuracy value of 86. The implementation of ML-based approach is expected to produce new technology that allows authorities to know and monitor social media in order to reduce the sale and promotion of protected wildlife.
Efektivitas Penerapan SVLK pada Berbagai Tipe Alas Hak Nugroho, Bramasto; Buchori , Damayanti; Iriyani, Silfi; Setiajiati , Fitta
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 4 No 3 (2022): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0403.334-337

Abstract

Indonesia menunjukkan komitmen kuat untuk perlindungan hutan, melalui penegakan hukum dan pemanfaatan hasil hutan kayu yang legal. Pada tahun 2013, Indonesia menjadi negara pertama yang menandatangani kesepakatan sukarela FLEGT VPA Uni Eropa (EU Forest L aw Enforcement, Governance and Trade Voluntary Partnership Agreement) dan memberlakukan Sistem Verifikasi Legalitas Kayu (SVLK) sebagai instrumen utama VPA, yang bersifat wajib/mandatory untuk seluruh tipe alas hak (PP 23/2021 dan PermenLHK No.8/2021 yang merupakan aturan tur u nan dari UU 11/2020 tentang Cipta Kerja). Beragamnya tipe alas hak hutan dan pemanfaatannya memberikan perspektif dan hasil yang berbeda. Umumnya pemegang Perijinan Berusaha Pemanfaatan Hutan (PBPH) dapat menerima SVLK sebagai perangkat untuk meningkatkan kinerja usahanya, tetapi belum banyak memperoleh manfaat dari sisi keuntungan finansial. Pemegang hutan hak (hutan rakyat) umumnya tidak merasakan manfaat SVLK dan SVLK sesungguhnya kurang tepat untuk diterapkan di hutan rakyat.
Indigenous Custodianship and Timber Legality Assurance System: Challenges and Opportunities for Customary Forest Management in Indonesia Iriyani, Silfi; Arman, Muhammad; Nugroho, Bramasto; Buchori, Damayanti; Setiajiati, Fitta
Jurnal Sylva Lestari Vol. 12 No. 3 (2024): September
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v12i3.948

Abstract

Indigenous peoples are caretakers and practitioners of a unique culture connected to their community and the surrounding environment, including forests. In Indonesia, existing regulations acknowledge the identity of indigenous peoples and the forests they oversee. This paper provided evidence of the acknowledgment of customary forests and indigenous peoples, addressing the challenges and opportunities for managing customary forest products, both timber and non-timber, under a timber legality assurance scheme. This research is essential in advocating for legal reforms that protect the rights of indigenous peoples and ensure sustainable forest management while balancing environmental conservation with local community needs. The study sought to illuminate the challenges Indigenous Peoples encounter when accessing and utilizing forests and forest products within their customary territories. It employed exploration methods to gather reliable data and information, validated through expert interviews and described using triangulation. The research concluded that legal innovations are necessary to resolve issues concerning the recognition of customary forests and indigenous peoples to enable effective forest management while safeguarding the rights of indigenous peoples socially, economically, and ecologically. In addition, legal innovations are also required to avoid breaches of timber legality assurance, which can result in forest unsustainability. To enhance the effectiveness of these reforms, it is important to foster collaboration between government bodies and indigenous communities in developing and implementing forest management policies. Keywords: customary forests, forest governance, indigenous peoples, timber legality assurance
Artificial intelligence-blockchain synergy ensures Indonesia’s compliance with European Union’s Deforestation-free regulation Iriyani, Silfi; Raflesia, Sarifah Putri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp1763-1771

Abstract

This paper introduces a new model that incorporates blockchain and artificial intelligence (AI) in creating traceability on agricultural supply chains to meet European Union's (EU's) regulation on deforestation-free products. This model stands for the system that would be applied for monitoring origins and routes with regard to verifying the status of products being free from deforestation. Particularly, this addressed the European Union's Deforestation-free Regulation products (EUDR)-related issues in Indonesia focused on smallholders and their linkage to traceability tools. The proposed conceptual model demonstrates how blockchain technology combined with AI in agricultural supply chains enhances transparency and reliability in the line of improving environmental sustainability as well as boosting consumers' confidence. Integration of blockchain and AI increases agricultural supply chain transparency, traceability, and reliability whereby smart contracts can execute automatically such as releasing payments once certain conditions are met.
Co-Authors Bramasto Nugroho DAMAYANTI BUCHORI Dinda Lestarini Fitta Setiajiati Muhammad Arman Rusdy, Taufiqurrahman Sarifah Putri Raflesia, Sarifah Putri Setiajiati , Fitta