| NIM | D2A024007 |
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| Namamhs | ANAS ALVANDIKA |
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| Judul Artikel | Penerapan Sistem Smart Farming Berbasis Internet of Things (IoT) pada Kandang Closed House Ayam Broiler di Lingkungan Tropis |
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| Abstrak (Bhs. Indonesia) | Produktivitas ayam broiler bergantung pada kestabilan mikroklimat kandang yang presisi. Ketidakterkendalian mikroklimat sering memicu stres panas dan menurunkan efisiensi pakan, terutama di wilayah tropis. Kegiatan ini melakukan pengembangan inovasi sistem smart farming berbasis Internet of Things (IoT) pada kandang closed house ayam broiler. Sistem mengintegrasikan sensor suhu, kelembapan, cahaya, kebisingan, kecepatan udara, serta gas (O₂, CO₂, NH₃) dengan dashboard berbasis cloud dan pendekatan logika kendali Hysteresis–Finite State Machine (FSM). Metode deskriptif-eksploratif diterapkan selama 33 hari pemeliharaan untuk menilai kinerja sistem dan respon pengguna. Hasil menunjukkan suhu rata-rata 28,6°C, kelembapan 86,5%, kebisingan 60,4 dB, cahaya 15,4 lux, oksigen 20,4%, CO₂ 1.236 ppm, dan ammonia 0,041 ppm, semuanya dalam rentang optimal. Sistem bekerja stabil dan dapat meningkatkan kemampuan peternak dalam pengambilan keputusan berbasis data. Hasil ini terbukti efisien, adaptif terhadap iklim tropis, dan aplikatif bagi peternak menuju Smart Precision Livestock Farming (SPLF) berkelanjutan. |
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| Abtrak (Bhs. Inggris) | Broiler chicken productivity depends on the stability of a precise microclimate in the coop. Uncontrolled microclimates often cause heat stress and reduce feed efficiency, especially in tropical regions. This activity involves developing an innovative Internet of Things (IoT)-based smart farming system for closed-house broiler chicken coops. The system integrates sensors for temperature, humidity, light, noise, air velocity, and gases (O₂, CO₂, NH₃) with a cloud-based dashboard and a Hysteresis–Finite State Machine (FSM) control logic approach. A descriptive-exploratory method was applied during 33 days of maintenance to assess system performance and user response. The results showed an average temperature of 28.6°C, humidity of 86.5%, noise of 60.4 dB, light of 15.4 lux, oxygen of 20.4%, CO₂ of 1,236 ppm, and ammonia of 0.041 ppm, all within the optimal range. The system operated stably and improved farmers' ability to make data-driven decisions. These results proved to be efficient, adaptable to the tropical climate, and applicable for farmers moving towards sustainable Smart Precision Livestock Farming (SPLF). |
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| Kata kunci | IoT, smart farming, closed house, broiler, SPLF |
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| Pembimbing 1 | Prof. Dr. Ir. Ismoyowati, S.Pt., M.P., IPU., ASEAN Eng. |
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| Pembimbing 2 | Ir. Novie Andri Setianto, S.Pt., M.Sc., Ph.D., IPU., ASEAN Eng. |
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| Pembimbing 3 | Ardiansyah, S.TP., M.Si., Ph.D. |
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| Tahun | 2025 |
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| Jumlah Halaman | 10 |
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| Tgl. Entri | 2025-11-27 17:27:44.955359 |
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