Judul: Analisis Temporal Tingkat Kekeringan Lahan Kedelai Menggunakan Vegetation Health Index (Studi Kasus: Kabupaten Banyuwangi)
Abstrak: Kekeringan adalah kejadian dimana kurangnya ketersediaan air pada suatu daerah yang tidak cukup memenuhi kebutuhan air. Kekeringan dapat menggangu sistem pertanian di Indonesia. Kekeringan pertanian dianalisis berdasarkan 3 parameter, yaitu curah hujan, kondisi vegetasi, dan kelembaban tanah Tujuan penelitian ini adalah untuk mengetahui indeks kekeringan lahan perkebunan kedelai serta menganalisis hubungan antara kekeringan lahan dengan produktivitas kedelai di Kabupaten Banyuwangi. Data yang digunakan adalah data LST dan EVI yang kemudian akan diolah menjadi data VCI serta TCI. Selanjutnya data VCI dan TCI diolah untuk mendapatkan nilai VHI. Nilai VHI dihitung sehingga didapatkan luas kekeringan lahan yang kemudian dianalisis keterkaitannya dengan tingkat produksi kedelai di Kabupaten Banyuwangi. Hasil menunjukkan kekeringan pertanian di Kabupaten Banyuwangi dimulai dari bulan Agustus dan mengalami puncak pada bulan Oktober kemudian menurun pada bulan Desember. Tahun 2015 merupakan tahun El Niño yang menunjukkan luas, tingkat serta durasi kekeringan yang lebih besar dibanding tahun sebelumnya. Hal ini menyebabkan produksi kedelai di Kabupaten Banyuwangi pada tahun 2015 cenderung lebih sedikit dibanding dengan tahun lainnya.
Keyword: Kekeringan pertanian, VHI, TCI, VCI, LST, EVI, Produktivitas kedelai

Judul: Analisis Temporal Vegetation Health Index (VHI) untuk Kekeringan Lahan Persawahan. Studi Kasus Kabupaten Indramayu, Jawa Barat
Abstrak: Agricultural drought related to determine of water table so can’t be able to fill crop necessary. Agricultural drought can be analyzed by using an index based on the condition of vegetation (Vegetation Health Index (VHI)). The purpose of this research to analyze the drought index fields using the VHI in the dry months (JJAS) with Kogan method, suspect the relationship between TCI with elements of the climate, as well as to analysis the relationship between VHI and rice productivity. VHI is obtained by Temperature Condition Index (TCI) and Vegetation Condition Index (VCI) which will be corelated with climate data (temperature and precipitation) while VHI by extensive data drought. Indramayu district have characteristic to average precipitation month revolve 0- 358 mm and temperature of average month 260C-28.30C. District Krangkeng, Kandanghaur, Indramayu and Karangampel have the langest sensivity of drought in period 2009-2013. Percentage of VHI index is quite high with a high incidence of drought, happened in July and August as well as with temporal in 2012. Results of TCI index has determinant coefficient (R2) of 0.230 with rainfall and 0.117 with the air temperature. Based on percentage VHI (<=40), drought factors can affect the productivity of rice. The lowest productivity, districts Krangkeng, Kandanghaur and Karangampel in 2010 and in 2012 for Indramayu district.
Keyword: Rice Productivity., VCI, TCI, VHI, Agricultural drought

Judul: Approximation of the Median of Poisson Distribution Using the Relation of Poisson-Gamma Distribution
Abstrak: A major drawback of median is that median cannot usually be defined in closed form, even in the cases where their distribution functions are known. This study gives an approximation of the closed form for the median of the Poisson distribution by using the relation of Poisson-Gamma distribution. The approximation uses elementary techniques based on the monotonicity of certain sequences involving tail probabilities of the Poisson distribution and the Central Limit Theorem. Furthermore, a closed form expression for the mean absolute deviation 􀜧|􀜰􀰒 􀵆 􀜯􀝁􀝀􁈺􀜰􀰒􁈻| is also studied. The median is relevant because of the fact that it minimizes the mean absolute deviation of a Poisson random variable (􀜰􀰒􁈻 by considering median as central tendency.
Keyword: