Kajian Naungan, Taraf Pupuk Urea Dan Varietas Kedelai (Glycine Max L.) Terhadap Pertumbuhan Dan Produksi Tanaman Kedelai Sebagai Tanaman Sela Di Areal Pertanaman Kelapa Sawit Menghasilkan

The aims of this research was to analyze morpo_physiology changing of soybean under oilpam area; determine effect of shading and N fertilizer dosage on the growth and yield of soybean under oilpam area; and determine suitable soybean varieties that enable grow and produce under oilpalm.The experiment located in Ujung Labuan Village, Deli Serdang District. The experiment was arranged in Split-split Plot Design 3 x 4 x 3 with 3 replication, with three factors observed: 1) shade level, consist of: under 4 years old oilpam, under 6 years old oilpam, open area, 2) N dosage,: 200 kg urea/ha, 150 kg/ha, 100 kg urea/ha, 0 kg urea/ha, 3) soybean variety: Anjasmoro, Burangrang, and Grobogan. Plant height, leaf area, plant dry weight, and soybean production were determined. Result showed there were some significant effects of interaction factors between oilpalm canopy shading, N dosage and soybean variety on growth and yield of soybean. The highest growth and production of soybean found at open area. Between 4 years old oilpam and 6-7 years old oilpam, soybean growth and production are unsignificant different, and lower than those on opening area. N dosage make some significat effects on growth and yield of soybean, which is usually nonsignificant between 150 kg Urea/ha or 200 kg Urea/ha. Meanwhile soybean variety make some significat effects. At open area, burangrang make the highest growth and production by application of 200 kg urea/ha, but under oilpalm the highest production found at Burangrang under 4 years old oilpalm and application of 200 kg urea/ha, followed by several treatments which are unsignifican different

Peramalan Pemakaian Energi Listrik di Medan dengan Metode Arima

Dalam skripsi ini dilakukan peramalan Pemakaian Energi Listrik denganmenggunakan model ARIMA. Langkah pertama peramalan pemakaian energilistrik menggunakan metode deret berkala ARIMA. Langkah yang kedua yaitu menghasilkandata stasioner dan mengidentifikasi adanya faktor musiman dengan memplotdata dan autokorelasi dan autokorelasi residual setiap lag. Langkah ketigaadalah menentukan nilai orde model ARIMA sekaligus menjadikan model sementaradalam hal ini diperoleh model yang tepat adalah ARIMA (0, 1, 1)(1, 1, 1)12.Langkah ke empat adalah melakukan uji ketepatan model dengan uji residual, ujistatistik portmanteau dan overfitting model. Langkah terakhir adalah melakukanperamalan. Model peramalan pemakaian energi listrik diselesaikan dengan bantuansoftware minitab 16.0 sehingga di hasilkan peramalan hasil produksi aluminiumbatangan untuk 12 periode adalah Oktober 2012 : 281.729.975 kwh, November 2012: 278.681.405 kwh, Desember 2012 : 282.132.144 kwh, Januari 2013 : 247.835.406kwh, Februari 2013 : 232.297.702 kwh, Maret 2013 : 268.232.979 kwh, April 2013 :258.892.773 kwh, Mei 2013 : 279.447.958 kwh, Juni 2013 : 278.641.762, Juli 2013: 283.377.080 kwh, Agustus 2013 : 278.587.369 kwh, September 2013 : 266.888.954kwh