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All Journal Jurnal INKOM Indonesian Journal of Agricultural Science Pengembangan Inovasi Pertanian Jurnal Penelitian dan Pengembangan Pertanian Jurnal Sumberdaya Lahan Informatika Pertanian JURNAL PANGAN Jurnal Sumberdaya Lahan Jurnal Tanah dan Iklim
Eleonora Runtunuwu
Balai Penelitian Agroklimat dan Hidrologi
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Social Sciences

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Dinamika Kalender Tanam Padi di Sulawesi The Dynamics of Paddy Planting Time in Sulawesi Runtunuwu, Eleonora; Syahbuddin, Haris; Ramadhani, Fadhlullah; Nugroho, Wahyu Tri
JURNAL PANGAN Vol 21, No 2 (2012): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1106.615 KB) | DOI: 10.33964/jp.v21i2.309

Abstract

Dalam menetapkan waktu tanam tanaman padi petani kebanyakan mengandalkan kebiasaan turun temurun, padahal kondisi iklim telah berubah akibat pemanasan global. Akibatnya petani sering menghadapi masalah sumberdaya air, terutama pada saat intensitas curah hujan tinggi dengan kurun waktu pendek atau kondisi kering yang berlangsung lama. Untuk menghindari kekeliruan dalam menentukan waktu tanam, perlu dilakukan analisis mengenai waktutanam pada beberapa kondisi ikiim yang berbeda, yang diduga bervariasi antar tempat. Penelitian ini bertujuan untuk mempelajari variasi waktu tanam tanaman padi di Sulawesi, baik waktu tanam yang dominan dilakukan petani maupunberdasarkan kondisi iklim. Awal waktu tanam petani pada musim tanam pertama dianalisis dengan menggunakan data luas tanam level kecamatan periode tahun 2000-2007, sedangkan estimasi waktutanam pada saat curah hujan di bawah normal, normal, maupun di atas normal menggunakan data curah hujan harian runut waktu periode tahun 1980-2007. Awal waktu tanam pada musim tanam pertama yang dilakukan petani di Sulawesi umumnya terjadi pada dasarian pertama dan kedua September (September l/ll) setiap tahunnya; yang sama dengan hasil estimasi pada kondisi basah dan normal walau dengan intensitas yang lebih tinggi. Hal ini menunjukkan bahwa awal waktu tanam di Sulawesi relatif tetap. Tetapi pada kondisi kering petani ebaiknya menanam agak lambat yaitu dasarian III September sampai dengan dasarian pertama Oktober (September Ill/Oktober I) dan secara bertahap dapat dilakukan sampai dengan dasarian pertama dan kedua Januari (Januari l/ll). manfaat informasi estimasiawalwaktu tanam yang tersedia untuk setiap ecamatandiharapkan dapat membantu petani menentukan awal waktu tanam sebelum tiba musim tanam. In determining planting time ofpaddy crop farmers usually use onventional traditions although climatic conditions havechangesdue toglobal warming. As a result, farmers often face water resources problem, especially during a high intensity rainfall in a short period or aprolonged dry period. To avoid inaccuracy in determining planting time, there should bea study ofplanting time on some ofthe different climatic conditions, which are suspected varied among farming sites. This research aims to study the variation in food crops planting times especially in Sulawesi Island, based on both farmer's activities andclimate condition, i.e. wet, normal, anddry years. The existing planting time is determined byusingplanting area data of each sub-district during the period of 2000 to 2007 obtained from Statistics Indonesia. Planting time is considered commencing when 8 percent ofpaddy fields in a sub district have been planted. Planting time estimation on wet, normal, or dry years uses the ten-day rainfall data during the period of 1980 to 2007. The results show that farmer in Sulawesi generally plant rice starting on September in the first and second ten-days (September l/ll) every year. This issimilar to the estimation results on wet and normal years, but with higher intensity. This circumstance shows that early time plant in Sulawesi is relatively constant. Nevertheless in dry condition, farmers have to plant gradually on September Ill/October Iup to Jan l/ll. Information ofinitial planting time ofall sub-districts of Sulawesi is available on cropping calendar map. This information is expected to become the base information in determining planting time of each sub-district to avoid crop failures. 
Aplikasi Android pada Sistem Informasi Kalender Tanam Terpadu Ramadhani, Fadhlullah; Syahbuddin, Haris; Runtunuwu, Eleonora
INKOM Journal Vol 9, No 1 (2015)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.479 KB) | DOI: 10.14203/j.inkom.414

Abstract

Kemajuan teknologi informasi dewasa ini sangat pesat. Mulai dengan penggunaan telepon selular yang hanya digunakan untuk mengirimkan pesan singkat atau berkomunikasi biasa sampai dengan telepon pintar (smart phone).Badan Penelitian dan Pengembangan Pertanian dalam usaha penyebaran informasi pertanian, berusaha menggunakan teknologi informasi tersebut semaksimal mungkin. Salah satu contoh adalah penyebaran informasi kalender tanam terpadu, yang bukan hanya berbasis website saja, tetapi juga berbasis SMS dan Android. Makalah ini bertujuan ntuk memaparkan pengembangan aplikasi yang dapat digunakan untuk diseminasi informasi tanam terpadu menggunakan aplikasi mobile berbasis Android. Materi yang digunakan dalam penyusunan aplikasi ini tentunya terkait dengankalender tanam, yaitu standing crop yang diekstrak dari citra satelit MODIS, data hasil monitoring CCTV, estimasi waktu dan luas tanam, status tingkat kerawanan banjir dan kekeringan tingkat kabupaten, status organisme pengganggu tanaman, rekomendasi varietas dan prakiraan kebutuhan benih, rekomendasi dan kebutuhan pupuk, dan mekanisasi pertanian. Metode yang digunakan secara umum adalah pendekatan pengembangan sistem berbasis Android. Hasil akhir dari penelitian ini adalah tersedianya dan terpakainya aplikasi Android pada sistem informasi katam terpadu. Pada intinya pengguna dapat menggunakan smartphone untuk mendapatkan informasi terkini mengenai kalender tanam pertanian secara cepat. Cepatnya mendapatkan informasi pertanian diharapkan membantu petani dan masyarakat pertanian melakukan budidaya pertanian secara lebih akurat agar terhindar dari kegagalan.
AGROMETEOROLOGICAL DATA AND RAINFALL FORECASTING FOR CROP SIMULATION AMIEN, LE ISTIQLAL; RUNTUNUWU, ELEONORA
Jurnal Sumberdaya Lahan Vol 3, No 2 (2009)
Publisher : Indonesian Center for Agriculture Land Resource Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.404 KB) | DOI: 10.21082/jsdl.v3n02.2009.%p

Abstract

Agricultural production is one of the most weather sensitive human activities that depend on daily atmospheric conditions. This review attempts to describe the meteorological data for crop requirements, some techniques of climate prediction and its use for crop simulations. Despite the rapid progress achieved in forecasting technology lately, further works are necessary for the real application. The amount and distribution of the rainfall in the coming season is necessary for planning crop cultivation particularly when climate anomaly arises. In agriculture the efforts to bridge the gap, climate forecasting results are the main input in crop simulation, especially for water and agro-climate management and cropping calendar.
DEVELOPMENT OF NATIONAL CLIMATE DATABASE SYSTEM FOR SUPPORTING AGRICULTURE RESEARCH RUNTUNUWU, ELEONORA
Jurnal Sumberdaya Lahan Vol 4, No 1 (2010)
Publisher : Indonesian Center for Agriculture Land Resource Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jsdl.v4n01.2010.%p

Abstract

One of the most significant challenges for improving the agroclimate research is availability of integrated climate data. This paper reviewed several climate database systems development of national and international levels; such as those produced by Indonesian Meteorological Climatological  and Geophysical Agency (BMKG), World Meteorological Organization (WMO), and New Zealand climatic database systems. Indonesian Agency for Agricultural Research and Development (IAARD) through Indonesian Agroclimate and Hydrology Research Institute (IAHRI) has  developed a national climate database system (CDS), called as IAHRI CDS, as a basic part of agroclimatic researches. The system was integrated the numeric climate data and thematic spatial maps by applying Geographic Information System (GIS) and programming technologies. The data mainly comes from automated and manual climate stations of Ministry of Agriculture, BMKG and Irrigation service of each province. The development of IAHRI CDS is expected as a great resource for many potential applications on agriculture research in Indonesia. Keywords : Aagriculture, climate, database system, Indonesia
RAINFALL PREDICTION MODELING USING NEURAL NETWORK ANALYSIS TECHNICS AT PADDY PRODUCTION CENTRE AREA IN WEST JAVA AND BANTEN PRAMUDIA, ARIS; KOESMARYONO, Y; LAS, IRSAL; JUNE, T; ASTIKA, I WAYAN; RUNTUNUWU, ELEONORA
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) No 27 (2008): Juli 2008
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v0n27.2008.%p

Abstract

Rainfall fluctuates with time and changes randomly, which unfavorable for most of the cropping, such as paddy. An early warning system is required to ensure a productive paddy cropping system. This paper describes the rainfall prediction modelling using a neural network analysis at paddy production centre area in the northern coast of Western Java and Banten. Rainfall data from Baros in the northern coast of Banten, Karawang, and Kasomalang Subang in the northern coast of West Java have been used for setting and validating the model. The model provides rainfall prediction for the next three months (Y=CHt+3), using the inputs data of the number of month (X1=t), the rainfall at the current month (X2=CHt), the rainfall atthe following month (X3=CHt+1), the rainfall at the following two months (X4=CHt+2), the southern ossilation index (SOI) at the current month (X5=SOIt) and the NINO-3,4 sea surface temperature anomaly at the current month (X6=AnoSSTt). Rainfall data recorded in the 1990-2002 period have been used for composing the model, and those in the 2003-2006 periods have been used for validating the model. The validated model has been used to predict rainfall in the 2007-2008. The best modelare those that using a combination of those six input variables. These models are able to explain 88-91% of the data variability with 4-8 mm month-1 of the maximum prediction error. At Baros Serang, the predicted rainfall in the 2007-2008 periods will be varied from Normal to Above Normal. At Karawang and Kasomalang Subang, predicted rainfall will be high at the end of 2007 until early 2008, and then will be low in the middle of 2008 and increases at the end of 2008.
Co-Authors Akihiko Kondoh Aris Pramudia DIAH SETYORINI Elsa Surmaini Elza Surmaini Erni Susanti Fadhlullah Ramadhani H. Syahbuddin Haris Syahbuddin Haryono Haryono I Wayan Astika Irsal Las Istiqlal Amien, Istiqlal Kharmila Sari LE ISTIQLAL AMIEN Ramadhani, Fadhlullah Syahbuddin, Haris T JUNE Tri Nugroho, Wahyu Wahyu Tri Nugroho Y KOESMARYONO YAYAN APRIYANA