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All Journal Habitat Jurnal Daur Lingkungan International Journal of Industrial Optimization (IJIO)
Hidayatullah, Rifqi Rahmat
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Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Other

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Strategi Pengendalian Kebakaran Hutan dan Lahan di Taman Nasional Alas Purwo Hidayatullah, Rifqi Rahmat; Hidayatullah, Mohammad Faizal Kusuma Negara Nur
Jurnal Daur Lingkungan Vol 7, No 1 (2024): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/daurling.v7i1.284

Abstract

Taman Nasional Alas Purwo (TNAP) yang terletak di Kabupaten Banyuwangi merupakan kawasan konservasi dengan ekosistem unik. Taman nasional ini memiliki tipe ekosistem yang beragam dengan segala tipe habitat dan keanekaragaman hayati yang tinggi. Selain potensi yang ada, TNAP juga menghadapi ancaman kebakaran hutan dan lahan (Karhutla) yang dapat membahayakan dari segi ekologi, sosial, dan ekonomi masyarakat sekitar taman nasional. Tujuan dari studi ini antara lain mengidentifikasi faktor penyebab dan dampak dari Karhutla di TNAP, mengidentifikasi daerah rawan Karhutla di TNAP, dan mengidentifikasi bentuk pengendalian Karhutla di TNAP. Data dikumpulkan dengan metode wawancara mendalam, observasi lapangan dan studi literatur  sertadianalisis dengan metode deskriptif kualitatif. Selain itu, dilakukan pula analisis spasial terhadap wilayah rawan Karhutla. Hasil studi ini menunjukkan bahwa faktor terjadinya kebakaran hutan di TNAP seringkali disebabkan oleh faktor manusia dan didukung oleh faktor alam seperti cuaca. Dampak dari kebakaran hutan cukup signifikan mulai dari luka-luka bakar pada pangkal pohon, mengubah tutupan lahan, rusaknya habitat satwa, dan terputusnya wilayah jelajah satwa. Strategi pengendalian yang dilakukan oleh pihak TNAP dilakukan berdasarkan status siaga yang telah ditetapkan. Status siaga tersebut dibagi menjadi tiga yaitu mulai dari siaga III, siaga II, dan siaga I. Dalam mendukung strategi tersebut, pihak TNAP melakukan manajemen pengendalian kebakaran hutan meliputi pencegahan kebakaran hutan (pembuatan dan pemeliharaan sekat bakar, pengecekan dan pengisian bak air, patroli pencegahan, dan deteksi dini), pemadaman kebakaran (pemadaman secara langsung, secara tidak langsung, dan mop up), serta penanganan pasca kebakaran (monitoring dan pengumpulan data areal bekas kebakaran serta evaluasi).
Community Participation in Forest Conservation as A Forest Fire Mitigation and Adaptation on The Arjuno Mountain Riza, Sativandi; Fata, Yulia Amirul; Arifin, Syamsul; Hadiwijoyo, Erekso; Hidayatullah, Rifqi Rahmat; Ishaq, Rizki Maulana; Lestari, Nina Dwi; Putra, Aditya Nugraha; Lestariningsih, Iva Dewi; Suprayogo, Didik
HABITAT Vol. 34 No. 3 (2023): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2023.034.3.29

Abstract

Participatory conservation is an activity to mitigate and adapt to forest and land fires through field farmer school (FFS) activity which forest farmer groups (FFG), non-governmental organizations (NGOs), and academics attend. This research aims to provide an innovative approach to conservation activities with the community, especially on Mount Arjuno, which often experiences forest fires. The results show that local stakeholders and authorities must support community participation in forest conservation. This study shows that FFS (Field Farmer School) activities can facilitate the community in identifying problems and generating ideas for conservation activities through the agroforestry system, mitigation and adaptation of forest and land fires, and edu-ecotourism. Conservation designs and community participation strategic plans are outputs of forest fire mitigation and adaptation activities. The FFS as the methodology used is adequate for knowing what the farmer needs relating to conservation that stakeholders will program. Moreover, generating the conservation activity must be combined with activities to increase the FFG income. So, the FFG will have good welfare.
Optimization of real-time forest monitoring system using yolo v9 object detection and 2.4 ghz wireless network: resource allocation, energy efficiency, and industrial deployment strategies Atmoko, Rachmad Andri; Hidayatullah, Rifqi Rahmat; Na’im, Septian Ghuslal Nur; Setiawan, Akas Bagus
International Journal of Industrial Optimization Vol. 7 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v7i1.11899

Abstract

Large forest areas are increasingly exposed to illegal activities and environmental threats, while conventional monitoring systems suffer from limited coverage, high energy consumption, and delayed response. To address these challenges, this study proposes an optimized real-time forest monitoring system designed for industrial-scale deployment in remote environments. The primary objective is to enhance surveillance efficiency by integrating AI-based object detection, long-range wireless communication, and resource-efficient system design. The proposed system employs ESP32-CAM sensor nodes integrated with 2.4 GHz CPE wireless links and a gateway-based YOLOv9 object detection framework. Bandwidth utilization is optimized through selective transmission of processed detection metadata instead of raw images, while deployment parameters are optimized using simulation-based planning. A web-based monitoring platform with an optimized REST API supports real-time visualization and alert generation. Experimental results show that the system achieves reliable communication up to 500 m with packet loss below 5% and latency under 50 ms at distances up to 300 m. Human detection accuracy reaches 98.5% under optimal conditions, with performance degradation observed in dense vegetation and low-light environments. Energy evaluation confirms sustainable operation, with ESP32 nodes consuming 160 mA and the gateway operating at 3.7 W. Comparative analysis indicates reductions of 37% in deployment cost, 24% in energy consumption, and 51% in latency compared to similar systems. This study concludes that the proposed architecture effectively balances accuracy, scalability, cost, and energy efficiency. The novelty lies in the integrated optimization of edge-based AI detection, selective data transmission, and simulation-driven deployment for industrial forest monitoring.
Co-Authors Aditya Nugraha Putra, Aditya Nugraha Didik Suprayogo Erekso Hadiwijoyo Fata, Yulia Amirul Hidayatullah, Mohammad Faizal Kusuma Negara Nur Iva Dewi Lestariningsih, Iva Dewi Lestari, Nina Dwi Na’im, Septian Ghuslal Nur Rachmad Andri Atmoko, Rachmad Andri Riza, Sativandi Rizki Maulana Ishaq Setiawan, Akas Bagus Syamsul Arifin