[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"ssr-repo-dspace000006221":3,"ssr-repo-divisions":94,"menu-footer-id":280,"menu-main-id":341},{"id":4,"title":5,"authors":6,"files":9,"advisors":54,"authors_detail":55,"advisors_detail":62,"publisher":63,"publish_place":64,"language":65,"type":66,"type_slug":67,"year":68,"department":69,"study_program":70,"keywords":71,"keywords_detail":78,"abstract":91,"abstract_html":92,"url":93},"repo-dspace000006221","Multinode Sensor Berbasis Komunikasi Long Range (LoRa) Dalam Sistem Deteksi Serangan Hama Tikus di Sawah",[7,8],"Dinara Zalfaini","Nadia Khoridatul Amiroh",[10,14,17,20,23,27,30,33,36,39,42,45,48,51],{"chapter":11,"requires_login":12,"label":13,"available":12},"abstrak",false,"Abstrak",{"chapter":15,"requires_login":12,"label":16,"available":12},"pendahuluan","Pendahuluan",{"chapter":18,"requires_login":12,"label":19,"available":12},"bab1","Bab I",{"chapter":21,"requires_login":12,"label":22,"available":12},"bab2","Bab II",{"chapter":24,"requires_login":25,"label":26,"available":12},"bab3",true,"Bab III",{"chapter":28,"requires_login":25,"label":29,"available":12},"bab4","Bab IV",{"chapter":31,"requires_login":25,"label":32,"available":12},"bab5","Bab V",{"chapter":34,"requires_login":25,"label":35,"available":12},"bab6","Bab VI",{"chapter":37,"requires_login":25,"label":38,"available":12},"bab7","Bab VII",{"chapter":40,"requires_login":12,"label":41,"available":12},"daftar_pustaka","Daftar Pustaka",{"chapter":43,"requires_login":25,"label":44,"available":12},"lampiran","Lampiran",{"chapter":46,"requires_login":25,"label":47,"available":12},"jurnal","Jurnal",{"chapter":49,"requires_login":12,"label":50,"available":25},"open","Akses Terbuka",{"chapter":52,"requires_login":25,"label":53,"available":12},"full","Dokumen Lengkap",[],[56,59],{"name":7,"nim":57,"slug":58},"2231130016","dinara-zalfaini",{"name":8,"nim":60,"slug":61},"2231130055","nadia-khoridatul-amiroh",[],"Politeknik Negeri Malang","Malang","Indonesia","Laporan Akhir \u002F Tugas Akhir (D2\u002FD3)","laporan-akhir-tugas-akhir-d2d3",2025,"D-III TEKNIK TELEKOMUNIKASI",null,[72,73,74,75,76,77],"Hama Tikus","LoRa","Sensor PIR","Buzzer Ultrasonik","Pertanian Pintar","Deteksi Dini",[79,81,83,85,87,89],{"name":72,"slug":80},"hama-tikus",{"name":73,"slug":82},"lora",{"name":74,"slug":84},"sensor-pir",{"name":75,"slug":86},"buzzer-ultrasonik",{"name":76,"slug":88},"pertanian-pintar",{"name":77,"slug":90},"deteksi-dini","Serangan hama tikus pada lahan padi merupakan faktor signifikan penyebab penurunan produktivitas hingga 20% di Indonesia. 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Buzzer pasif berhasil mempengaruhi perilaku tikussecara signifikan pada frekuensi 35 – 40 kHz, di mana semua tikus menunjukkan reaksi penghindaran dan kegelisahan pada frekuensi 40 kHz. Sistem komunikasi LoRa menunjukkan performa yang stabil dengan rata-rata delay antar gateway dan server sebesar 120–135 mikrodetik. Nilai rata-rata RSSI berkisar antara -104.6 dBm (terbaik) hingga -119 dBm (terlemah), dengan sebagian besar node menunjukkan kualitas sinyal baik (> -110 dBm). Sementara itu, nilai rata-rata SNR menunjukkan rentang dari 10.73 dB (optimal) hingga -8.14 dB (rendah), mengindikasikan variasi kualitas sinyal tergantung lokasi node. Estimasi ketahanan baterai mencapai sekitar 22,2 jam dalam kondisi operasional aktif, atau ±10–12 jam untuk penggunaan malam hari. Berdasarkan data kuantitatif ini, sistem terbukti fungsional dan dapat diandalkan sebagai alat bantu deteksi dini hama tikus di lahan persawahan. Saran pengembangan mencakup peningkatan skala node, integrasi kamera thermal untuk verifikasi deteksi, serta pengujian longitudinal efektivitas frekuensi ultrasonik di lingkungan sawah riil.","\u003Cp>Serangan hama tikus pada lahan padi merupakan faktor signifikan penyebab penurunan produktivitas hingga 20% di Indonesia. Penelitian ini bertujuan merancang dan mengimplementasikan sistem deteksi dini dan mitigasi serangan hama tikus berbasis Long Range (LoRa) menggunakan lima node sensor Passive Infrared Receiver (PIR) dan buzzer ultrasonik. Setiap node beroperasi secara independen, mengirimkan data deteksi ke LoRa Gateway, yang kemudian diteruskan ke platform The Things Network (TTN) dan ThingSpeak untuk visualisasi data melalui aplikasi Android. 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