Tugas Akhir program D3 Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sebelas Maret Surakarta Sistem Presensi Dosen adalah sistem yang menggunakan teknologi website dan Salah satu pendekatan yang dapat digunakan mendeteksi dini dampak kekeringan adalah menggunakan indeks El-Ni Southern Oscillation (ENSO). SISTEM INFORMASI PRESENSI DOSEN S1 TEKNIK INFORMATIKA UNS. Khusus untuk mahasiswa FKIP (Fakultas Keguruan dan Ilmu Pendidikan), seperti mahasiswa program Pendas (Pendidikan Dasar) s1 PGSD UT, maka soal TAP yang akan dihadapi adalah soal. Umumnya soal-soal yang diberikan pada ujian TAP ini adalah berbentuk kasus-kasus. Mereka pada semester akhir akan dihadapkan pada ujian TAP (Tugas Akhir Program).

Telekoneksi antara ENSO dengan kekeringan padi dianalisis menggunakan persamaan regresi polynomial antara sepuluh indeks ENSO dengan IDKP. Kerusakan tanaman padi akibat kekeringan diukur menggunakan Indeks Dampak Kekeringan Padi (IDKP). Penelitian ini bertujuan untuk memilih indeks ENSO yang paling akurat untuk deteksi dini kekeringan pada pertanaman padi sawah pada musim kemarau (MK)1 dan MK2. Terdapat beberapa indeks yang digunakan untuk mendefinisikan ENSO, namun tidak ada konsesus diantara para pakar tentang indeks yang terbaik untuk mendeteksi kekeringan.

Lag 2 menunjukkan bahwa indeks Ni 3.4 Bulan Maret dan Juni dapat digunakan untuk deteksi dini kekeringan padi pada MK1 dan MK2.Aktuaria IPB. Indeks ENSO yang dapat menggambarkan kekeringan dengan baik adalah indeks Ni 3.4 pada lag 2. Hasil penelitian menunjukkan bahwa hubungan IDKP dengan indeks ENSO dapat dijelaskan dengan baik melalui faktor perantaranya yaitu SPI. Kedua, asosiasi antara SPI dan IDKP sebagai indeks kekeringan agronomis. Pertama, asosiasi antara beberapa indeks ENSO dengan SPI sebagai indeks kekeringan meteorologis.

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