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MODEL ANALISIS PRAKIRAAN DAN VALIDASI CURAH HUJAN DI KABUPATEN TEGAL Sodiq J; D. Juanda; Samijan Samijan
JURNAL LITBANG PROVINSI JAWA TENGAH Vol 1 No 3 (2003): Jurnal Litbang Provinsi Jawa Tengah
Publisher : Badan Perencanaan Pembangunan, Penelitian dan Pengembangan Daerah Provinsi Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36762/jurnaljateng.v1i3.50

Abstract

Central Java is classified as a wet tropical area. Characteristics of the climate is extremely influenced by the evolution which happened in the sea, primary in Pacific and Atlantic Ocean, also influenced by the atmosphere change that available, so that the climate is fluctuating easily and it is difficult estimated. The other factors which influence the appearance of the high mounts in same areas such as Merbabu, Merapi, Sumbing, sindoro and excetera. The methods, we use in this rainfall forecast, Characterize stochastic by apllicating data time series are based on on historical observation. The data sources that are combined with change indicator and climate deviation, in this ccse anomaly by sea surface temperature (SST) of sone Nino 3.4 can be seen in the picture I. From the data collected then they are analyzed by application EXCEL Program, Mini tab, Macro retrieve and Regresion Macro. Simulation re• sult show that analysis result of rainfall forecast (estimated rainfall) from the month of Janu• ary - June 2002 in the 33 location points of station. Rainfall available in Tega! regency is conditioned normally up to above normal with forecast of the rainfall average 1961,1 mm. From the forrecast average, the rainfall in January places in the highest anomally is number 569,36 mm in a row; February 491,64 mm; March 391,33 mm; April 245,1; May 153,6 mm and June 105,7 mm. Simulation result of rainfall validation (actual rain) that happened in January 496,3 mm; March 469,3 mm; April 174,9 mm; May 74,6 mm and June 55,75 mm. But, in February the frequency of the highest rainfall above normal is 717,2 mm. Result of this simulation between forecast and actually do not result in deviation so far, but commonly it identifies rainfall for Tegal Regency still normal.
Evaluasi Lapang Rekomendasi Pemupukan Padi Sawah Berdasarkan Pemupukan Hara Spesifik Lokasi Berbasis Internet di Jawa Tengah Indonesia Samijan Samijan; Tri Reni Prastuti; Warsito Warsito
PLANTA TROPIKA: Jurnal Agrosains (Journal of Agro Science) Vol 5, No 1 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.2017.068.23-33

Abstract

At the recent, guide of Site Specific of Nutrient Management (SSNM) was developed by International Rice Research Institute (IRRI) in collaboration with Indonesia Agency for Agriculture Research and Development (IAARD) through online media based on internet website. To establish this recommendation technology, field evaluation of SSNM online application based on NM-Rice website was conducted. The assessment was conducted in Trayu and Dukuh Village of Banyudono Sub District of Boyolali District of Central Java Indonesia on dry season 2013 (May-September 2013). The assessment result showed that SSNM rice yield of about 63,2% of farmers in Trayu Village higher than FFP. Yield gap difference of SSNM online varied about 1-20% higher than FFP, whereas the others are almost similar until lower than FFP yield, by variation about 1-11%. The assessment of fertilizer recommendation in Dukuh Village showed that only about 33,3% of farmers cooperator have SSNM yield higher than FFP. Whereas, the others have SSNM online yield lower than FFP which its involved about 10% of farmers have similar yield between SSNM and FFP. An average of NPK rate of SSNM online in Trayu Village is lower than FFP. SSNM online rate for N fertilizer recommendation in this location are about 133 kg/ha  (93,9% lower than FFP), P2O5 about 38 kg/ha (73,8% lower than FFP), and K2O about 38 kg/ha (14,5% lower than FFP). Whereas in Dukuh Village, N rate of SSNM online recommendation are about 131 kg/ha (109,7% lower than FFP), P2O5 about 31 kg/ha (29,3% higher than FFP) and K2O about 30 kg/ha (63,3% higher than FFP). Generally, fertilizer recommendation based on SSNM online have benefit about 4,43% from existing.