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Teknik Penggerombolan Fuzi untuk Pewilayahan Curah Hujan di Sentra Produksi Padi Aris Pramudia; Vonny Koesmaryono; Irsal Las; Tania June; I Wayan Astika
Jurnal Ilmu Pertanian Indonesia Vol. 12 No. 3 (2007): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

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Abstract

Rainfall zoning analysis with fuzzy clustering method has been performed at the centre of paddy area in the northern coast of Banten Province and West Java Province. Rainfall data recorded in the 1980-2006 period from 62 rainfall stations in the northern coast of Banten Province and from 75 rainfall stations at Karawang and Subang in the northern coast of West Java Province have been used in this analysis. For the first analysis a calculation of arithmetic mean values representing EI-Nino, La-Nina and Normal condition has been performed. Next, a fuzzy clustering analysis is applied to these mean values. The clustering analysis consists of two steps. First, a symmetric and reflective compatibility relation matrix describing a distance function between rainfall stations is calculated. Second, a fuzzy equivalency relationship i.e. a transitive approach of fuzzy compatibility matrices is determined. The results of analysis indicate a difference in the equivalency level among the stations under the EI-Nino, La-Nina and Normal conditions in the northern coast of Banten Province and West Java Province. Based on the 75°/o equivalency level, in the northern coast of Banten area can be grouped into four rainfall zones under EI-Nino condition, two zones under La-Nina condition and three zones under Normal condition. On the other hand, in the northern coast of West Java area can be grouped into three zones under EINino condition, two zones under La-Nina condition, and four zones under Normal condition.Keywords: Arithmetic means values, EI-Nino, La-Nina, Fuzzy clustering, Rainfall zoning
Deliniasi risiko iklim dan evaluasi model hubungan curah hujan dan produksi padi dalam mendukung pengembangan asuransi indeks iklim (climate index insurance) pada sistem usahatani berbasis padi Woro Estiningtyas; Rizaldi Boer; Irsal Las; Agus Buono; Adi Rakhman
Jurnal Ilmu Pertanian Indonesia Vol. 16 No. 3 (2011): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

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Abstract

The agricultural sector, particularly the rice farming system (SUT) is very vulnerable to climate variability and change. SUT that rely heavily on water will be easily affected by climate variability and change when the water supply deficit of needs that should be. SUT is still dominant in the food supply in Indonesia, so the shock of farming due to extreme climate events will have a major impact on food security. Many findings indicate that the frequency and intensity of extreme climate events will increase as a result of global warming. Extreme climate events dominant occur in center of rice production in West Java like Indramayu is drought. Approximately 80°/o of the causes of the rice harvest failed in the district of Indramayu is the incidence of droughts. Farmers as the main actors receive large impacts due to drought is expected to be increasingly difficult to develop the farm. It is therefore necessary to have protection program for farmers from the impact of climate events such climate extrim. One option is starting a lot of feasibility is Climate Index Insurance. This study aimed to assess the feasibility of the implementation of the climate index insurance system in Indramayu. Analysis step is performed include (i) preparation of endemic drought maps are required as the basis in determining the priority areas of climate risk management and (ii) the determination of climate index value (threshold value) to be used as an index into the determination of the value of insurance claims. This study found that climate indices that can be used for the three villages at high risk of drought is high rainfall during the dry season. Index value for the three villages is 168 mm, 248 mm and 472 mm for Cikedung, lelea and Terisi. Potential applications of Climate Index Insurance for rice SUT in Indramayu is high because about 90°/o of the people are rice farmers. Besides benefit of rice farming is also quite large with B/C from 1.4 to 1.8 during the wet season and 1.2 to 1.7 on the dry season, so the expected ability to pay insurance premiums high enough.
Penentuan Musim Tanam Tanaman Pangan Berdasarkan Pola Curah Hujan di Lima Tapak Utama Proyek Pembangunan Penelitian Pertanian Nusa Tenggara Sub-Basis Maumere, Kabupaten Sikka Ahmad Bey; Irsal Las; M HG Yasin
Jurnal Ilmu Pertanian Indonesia Vol. 1 No. 2 (1991): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

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Abstract

This study was conducted...
The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis.  The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut).  Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods.  Neural network ana Aris Pramudia; Yonny Koesmaryono; Irsal Las; Tania June; I Wayan Astika; Eleonora Runtunuwu
Forum Pasca Sarjana Vol. 31 No. 2 (2008): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis.  The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut).  Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods.  Neural network analysis technique was applied for rainfall prediction modeling.  Training set of the model based on the rainfall data of 1990-2002 periods, and validation model based on data of 2003-2006 periods.  The model were used to predict the rainfall of 2007-2008 periods.  The distibution of equivalence value between rainfall stations was very variative under El-Nino, La-Nina and Normal condition.  On the certain of equivalence level it could be derivated some different rainfall zone under El-Nino, La-Nina and normal condition.  Model training set could explain 88% of Baros rainfall variability, 89% of Karawang rainfall variability, and 72% of Kasomalang rainfall variability.  At Baros, Karawang and Subang, rainfall was predicted to be increased on November 2007-February 2008 period, and to be decreased on the March-June 2008, and to be increased on July-November 2008.  The rainfall decreasing on the March-June would carry a losses of rice production up to 25%.  But, applying the well irrigation management and suitable growing periods could decrease and mitigate the decreasing of paddy production.   Key words: rainfall prediction model, fuzzy clustering, neural network analysis, rice vulnerability
Identification Identification of factors that influence carbon emissions in tropical peatland Vanda Julita Yahya; Supiandi Sabiham; Bambang Pramudya; Irsal Las
Biospecies Vol. 12 No. 2 (2019): Biospecies Vol. 12 No. 2, July 2019
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.871 KB) | DOI: 10.22437/biospecies.v12i2.5319

Abstract

Abstract. The research aimed to find out the relationship between water table and soil as well as the influence of chemical (peat water content, pH) and physical (cation exchange capacity = KTK) factors on CO2 emission. The research used simple mathematic analysis using secondary data. The research was conducted in oil palm plantation in Koto Gasib districk, Siak Regency, Riau. Objects researched were water table level, rainfall and peatland chemical-physical factors in oil palm plantation. Research result indicated that rainfall and days of rain had linear relationship with water table level. Water table level contributed 71.48% to GRK emission and the remaining 28.52% was influenced by other factors. Peatland pH contributed 91.41% to emission, and the remaining 8.59% was influenced by other factors. The influence of KTK on emission was 88.66 % and the remaining 11.34% was influenced by other factors. Water content of peatland had influence on GRK emission of 96.19% and the remaining 3.81 % was influenced by other factors. Conclusion: water table level, water content, pH, and KTK had significant influence on CO2 emission. Research result shows that water content has the biggest influence on CO2 release compare to water table, KTK and pH.
ANALISIS BENTUK KOMUNIKASI ANTAR PIHAK DALAM PEMANFAATAN SISTEM INFORMASI KALENDER TANAM TERPADU DI KEMENTERIAN PERTANIAN Abdul Aziz; Pudji Muljono; Irsal Las; Retno Sri Hartati Mulyandari
Jurnal Penelitian Komunikasi dan Pembangunan Vol 21, No 1 (2020): Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan)
Publisher : Institution: Ministry of Communication and Information Technology of Republic of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31346/jpikom.v21i1.2617

Abstract

Kementerian Pertanian melalui Badan Penelitian dan Pengembangan Pertanian sebagai lembaga penghasil inovasi harus mendiseminasikan hasil penelitian kepada pengguna agar teknologi yang dihasilkan dapat bermanfaat bagi masyarakat. Salah satu tantangan dalam mengkomunikasikan SI Katam Terpadu yaitu bagaimana menyampaikan pesan tersebut kepada stakeholders dan bagaimana menerima informasi dimaksud dari pihak-pihak terkait. Tujuan dari makalah ini adalah untuk mengidentifikasi sekaligus menganalisis bentuk komunikasi antar pihak dalam implementasi SI Katam Terpadu di tingkat petani. Pendekatan kualitatif dilakukan untuk mendapatkan hasil analisis. Pengumpulan data dilakukan dengan menggunakan metode penelitian survei yang bersifat deskriptif eksplanatori. Survei dilakukan kepada lembaga-lembaga terkait dan petani yang telah mendapatkan informasi SI Katam Terpadu. Analisis data kualitatif dilakukan secara interaktif dan langsung serta terus menerus sampai selesai dengan metode deskriptif. Hasil penelitian menunjukkan bahwa terdapat 4 bentuk komunikasi yang digunakan dalam menyampaikan informasi SI Katam Terpadu kepada petani yaitu komunikasi organisasi, komunikasi kelompok, komunikasi massa, dan komunikasi antarpribadi.
Upaya sektor Pertanian dalam Menghadapi Perubahan Iklim Elsa Surmaini; Eleonora Runtunuwu; Irsal Las
Jurnal Penelitian dan Pengembangan Pertanian Vol 30, No 1 (2011): Maret 2011
Publisher : Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jp3.v30n1.2011.p1-7

Abstract

Perubahan iklim (climate change) merupakan hal yang tidak dapat dihindari akibat pemanasan global (global warming) dan diyakini akan berdampak luas terhadap berbagai aspek kehidupan, termasuk sektor pertanian. Perubahan pola curah hujan, peningkatan frekuensi kejadian iklim ekstrem, serta kenaikan suhu udara dan permukaan air laut merupakan dampak serius dari perubahan iklim yang dihadapi Indonesia. Pertanian merupakan sektor yang mengalami dampak paling serius akibat perubahan iklim. Di tingkat global, sektor pertanian menyumbang sekitar 14% dari total emisi, sedangkan di tingkat nasional sumbangan emisi sebesar 12% (51,20 juta ton CO2e) dari total emisi sebesar 436,90 juta ton CO2e, bila emisi dari degradasi hutan, kebakaran gambut, dan dari drainase lahan gambut tidak diperhitungkan. Apabila emisi dari ketiga aktivitas tersebut diperhitungkan, kontribusi sektor pertanian hanya sekitar 8%. Walaupun sumbangan emisi dari sektor pertanian relatif kecil, dampak yang dirasakan sangat besar. Perubahan pola curah hujan dan kenaikan suhu udara menyebabkan produksi pertanian menurun secara signifikan. Kejadian iklim ekstrem berupa banjir dan kekeringan menyebabkan tanaman yang mengalami puso semakin luas. Peningkatan permukaan air laut menyebabkan penciutan lahan sawah di daerah pesisir dan kerusakan tanaman akibat salinitas. Dampak perubahan iklim yang demikian besar memerlukan upaya aktif untuk mengantisipasinya melalui strategi mitigasi dan adaptasi. Teknologi mitigasi bertujuan untuk mengurangi emisi gas rumah kaca (GRK) dari lahan pertanian melalui penggunaan varietas rendah emisi serta teknologi pengelolaan air dan lahan. Teknologi adaptasi yang dapat diterapkan meliputi penyesuaian waktu tanam, penggunaan varietas unggul tahan kekeringan, rendaman dan salinitas, serta pengembangan teknologi pengelolaan air.
Sustainability Analysis of Existing Agriculture on High Risk Erosion Area (Case Studies in Lembang, West Bandung District and in Dongko, Trenggalek District) RACHMI WIDIRIANI; SUPIANDI SABIHAM; S. HADI SUTJAHJO; IRSAL LAS
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) No 29 (2009): Juli 2009
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v0n29.2009.%p

Abstract

There are three main constraints for the upland agriculture development, namely (1) steep slopes that limit the suitable farm land, (2) soil erosion rate tends to be higher than the rate of soil losses and (3) high average annual rainfall. This research focused on sustainability analysis at high risk erosion area in Lembang sub district and Dongko sub district. The aim of this research was to analyze index and sustainability status of the border area, existing farming on high risk erosion. Multi Dimension Scalling-Rapid appraisal for farming (MDS-Rapfarm) technique was used for evaluating the sustainability of existing farming based on five sustainable indicators i.e. ecology, economy, social, local organization, and technology. Soil analysis and USLE method were used to predict erosion rate and soil fertility. The result of the MDS analysis showed that sustainable multi-dimension index (ecology, economy, social, local organization, technology) of Lembang sub district was 35,47; 38,15; 56,42; 34,49; 17,30;and Dongko sub district was 24,16; 47,13; 63,78; 64,78; 41,55 (on scale 0-100). The average of soil loss in Lembang was predicted 147,29 t ha-1 year-1 and in Dongko was 245,95 t ha-1 year-1 on average. Attributes being sensitive in increasing index and sustainability status were: source of organic matter, perennial proportion, farmer oriented on agriculture extension, social conflict intensity, annual rainfall, land solum, land conversion, and number of agriculture household.
UTILIZING CROPPING CALENDAR IN COPING WITH CLIMATE CHANGE Eleonora Runtunuwu; Irsal Las; Istiqlal Amien; Haris Syahbuddin
Jurnal Ecolab Vol 5, No 1 (2011): Jurnal Ecolab
Publisher : Pusat Standardisasi Instrumen Kualitas Lingkungan Hidup Laboratorium Lingkungan (P3KLL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jklh.2011.5.1.1-14

Abstract

Salah satu implikasi dari perubahan iklim adalah pergeseran waktu tanam yang tentunya mempengaruhi pola tanam dan produktifitas, terutama tanaman pangan. Untuk memandu petani menyesuaikan pola dan waktu tanam, maka analisis kalender tanam sangat diperlukan. Tujuan study ini adalah untuk mengembangka n peta kalender tanam tanaman padi di Jawa berdasarkan keragaman iklim (tahun basah, tahun normal dan tahun kering). Peta kalender tanam dikembangkan beberapa tahap, yaitu: (a) analisis waktu tanam eksisting, (b) analisis waktu tanam potensial, and (c) pembuatan peta kalender tanam. Analisis dilakukan dengan menggunakan data curah hujan harian dari tahun 1983 sampai dengan 2006, dan data realisasi tanam padi bulanan dari tahun 2003 sampai dengan 2005 untuk seluruh pulau Jawa. Hasil penelitian menunjukkan bahwa terdapat perbedaan waktu tanam pada kondisi basah, normal dan kering. Waktu tanam tertinggi untuk musim tanam pertama (MT I) pada tahun basah hampir sama dengan kondisi normal yaitu pada Okt 2/Okt 3, sedangkan pada tahun kering terjadi pada Des 2/Des 3. Intensitas tanam juga bervariasi antar provinsi. Kondisi ini mengakibatkan distribusi input pertanian seperti benih dan pupuk harus dijadwalkan sesuai kondisi setempat. Agar perencanaan waktu tanam dapat dilakukan dengan mudah, informasi peta kalender tanam telah dipetakan dalam skala 1:250.000 pada skala kecamatan. Peta kalender tanam selanjutnya dikompilasi menjadi satu atlas yang dapat digunakan sebagai pedoman bagi penyuluh dan petani di dalam penentuan kalender tanam