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Journal : Jurnal Irigasi

Sistem Kontrol Tinggi Muka Air Untuk Budidaya Padi - Nurfaijah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 10, No 2 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.532 KB) | DOI: 10.31028/ji.v10.i2.97-110

Abstract

This research aims to design a control system to keep the water level and soil moisture at a level that is suitable to the plant requirment and determines the optimum water level and soil moisture in each growth phase of paddy field cultivation. The water level control system was formed based on on-off controls system using Arduino Uno ATMega328P microcontroller. When the sensor gives input that the water level is below the set points, then microcontroller will command the irrigation valve to open and the drainage valve to close. The volume and time of irrigation and drainage control are dependent to set point. Set point was controlled based on water regime treatment. Water regime consisted of three treatments, which are wet regime (RB), slightly wet regime (RAB), and dry regime (RK). The research result showed that control system was very effective and efficient in controlling the water regime according to the control algorithms. Besides, the research result showed that the water regimes affected the plant growth, land productivity, and water productivity. Treatment of wet regime (RAB) gave the highest number of tiller (138 tillers), yield 194.7 g/hill (equal to 21 ton/ha with assumption of 30 cm x 30 cm spacing) and water productivity 3.16 kg/m3.
Analisis Evapotranspirasi Potensial pada Berbagai Model Empiris dan Jaringan Syaraf Tiruan dengan Data Cuaca Terbatas Chusnul Arif; Budi Indra Setiawan; Hanhan Ahmad Sofiyuddin
Jurnal Irigasi Vol 15, No 2 (2020): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31028/ji.v15.i2.71-84

Abstract

On the determination of crop water requirements, climate data are essential but are often limited due to the farm field's lack of weather station. For this reason, it is necessary to consider plant water requirements with various potential evapotranspiration (ETp) models with various weather input parameters, including Artificial Neural Network (ANN) models. The objectives of this paper were 1) to develop ANN models to estimate ETp, 2) to compare various ETp models (empirical models) including ANN models with the FAO standard models, 3) to analyze crop water requirements by the models, and 4) to determine the recommended input parameters for estimating ETp. The analysis was performed based on the measurement of weather parameters data in the two rice planting seasons, i.e., April - August 2017 and January - May 2018. There are 8 ETp models (empirical models) and 3 ANN models with a combination of input parameters. The results of this study indicated that the ANN-2 model with solar radiation input parameters was the best ANN model with R2 values 0.91-0.92 and RMSE 0.284 mm and 0.287 mm for the 2017 and 2018 planting seasons. ETp Turc model, one of the empirical ETp models with parameters input of air temperature and solar radiation, was the best model with the highest R2 and the lowest RMSE. Therefore, these two models were the best models with total ETp values closed to the ETp FAO standard. In addition, the parameters of air temperature and solar radiation are recommended parameters to be measured in the determination of crop water requirements using the ETp Turc model. But if there is only one parameter that can be measured, it is recommended to measure solar radiation with ANN-2 models to determine potential evapotranspiration.
Pendugaan Komponen Keseimbangan Air di Lahan Sawah dengan Linear Programming Chusnul Arif; Budi Indra Setiawan
Jurnal Irigasi Vol 14, No 2 (2019): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.043 KB) | DOI: 10.31028/ji.v14.i2.79-88

Abstract

Managing water in the paddy fields, water balance analysis is usually performed to determine the effectiveness of water used. However, with limited advanced instrumentation, time and cost, some water balance components are not measured. This study proposed a novel method, Linear Programming (LP) model, to estimate non-measurable water balance components. The aims of this study were to develop LP model in estimating non-measurable water balance components such as irrigation, runoff and percolation with measured soil moisture data in non-flooded irrigation, and then to evaluate performance of the model by comparing measured and estimated soil moisture. This study was carried out based on two season field experiments of non-flooded irrigation with System of Rice Intensification (SRI) in NOSC, Sukabumi West Java during 20 August to 15 December 2011 (first season) and 22 March to 5 July 2012 (second season). The developed LP model has the objective function by minimizing the differences between total measured and estimated soil moisture. In addition, the LP model has also constraint function and initial condition that were formulated based on actual field conditions. The results showed the LP model estimated non-measurable water balance accurately with the indicators of R2 > 0.85 (p value < 0.01) and percentage error less than 8%. Based on the estimation model results, irrigation only contributed 34-38% of inflow, while crop evapotranspiration and percolation contributed of 40-44% and 11-15%, respectively. Precipitation and runoff were the most contributors of inflow and outflow from the fields. By the current model, water use efficiency and water productivity can be determined with estimated irrigation.
Penentuan Kelembaban Tanah Optimum Untuk Budidaya Padi Sawah SRI (System Of Rice Intensification) Menggunakan Algoritma Genetika Chusnul Arif; Budi Indra Setiawan; Masaru Mizoguchi
Jurnal Irigasi Vol 9, No 1 (2014): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (783.678 KB) | DOI: 10.31028/ji.v9.i1.29-40

Abstract

In this study, an optimal soil moisture level that maximizes both yield and water productivity of system of rice intensification (SRI) paddy field was simulated by genetic algorithms (GA) model. The GA model was performed to find an optimal combination of soil moisture levels according to the empirical data during three cropping seasons at Nusantara Organic SRI Center (NOSC), Nagrak Sukabumi, West Java. Here, we classified soil moisture level into three levels i.e. wet (W), medium (M) or dry (D) based on the soil water retention curve. As the results, the optimal soil moisture was a combination of wet, wet, medium, and dry levels of soil moisture for initial, crop development, mid-season and late season growth stages, respectively. The wet level in the initial and crop development growth stages should be achieved providing enough water for the plant to develop root, stem and tiller, and then the field can be drained into the medium level with the irrigation threshold of field capacity to avoid spikelet sterility in the mid-season stage, and finally, let the field in the dry level to save more water in the late season stage when plant water requirement is minimum. By this scenario, it was simulated that the yield can be increased up to 4.40% and water productivity up to 8.40% with saving water up to 12.28% compared to the empirical data.
Evaluasi Koefisien Tanaman Padi Berdasarkan Konsumsi Air pada Lahan Sawah Hanhan Ahmad Sofiyuddin; Lolly M. Martief; Budi Indra Setiawan; Chusnul Arif
Jurnal Irigasi Vol 7, No 2 (2012): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.119 KB) | DOI: 10.31028/ji.v7.i2.120-131

Abstract

Crop coefficient was calculated based on the observation of water consumption of various treated paddy fields on the objective to find its changes with time as the plant grew. Three principal techniques of paddy fields known as System of Rice Intensification, Integrated Crop Management and commonly practiced were investigated. Each of them has major different in irrigating and planting patterns, which lead to different performance on plant growth, productivity and water consumption. In this study, the combinations of irrigating and planting patterns across these 3 systems investigated. Measurements were conducted in daily basis on water level, perched water table, irrigation water, drainage water and weather parameters. Water balance analysis was carried out to calculate equivalent depth of soil water storage, which was then compared with measured soil water storage based on water level data and soil water retention curve. The results showed that each treatment produced similar crop coefficients. Average crop coefficient in 15 days periods are 0,87, 1,03, 1,13, 1,24, 1,28 and 1,25. These values are important to understand more about water saving mechanism as an input to develop irrigation discharge planning standard.
Analisis Neraca Air pada Pengelolaan Air dalam System of Rice Intensification-Organik (SRI-Organik) di Jawa Barat, Indonesia Chusnul Arif; Budi Indra Setiawan; Septian Fauzi Dwi Saputra; Masaru Mizoguchi
Jurnal Irigasi Vol 14, No 1 (2019): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.038 KB) | DOI: 10.31028/ji.v14.i1.17-24

Abstract

The System of Rice Intensification (SRI) has been known in Indonesia since 1999. However, there are some difficulties in utilizing SRI water management recommendations in the field, particularly in combination with organic nutrient management. While many demonstrations have given impressive gains in productivity, many farmers remain skeptical about applying this system. The current study was carried out to analyze water balance components in SRI paddy fields when applying intermittent irrigation. The experiment was conducted in Gabus Wetan village, Indramayu District, West Java, Indonesia from 17 Nov 2016 to 1 March 2017. We involved a local farmer who had been trained in SRI methods at an Organic SRI Center on how to conduct organic SRI management in his fields. Weather and soil sensors were set up in the fields to acquire data on daily field conditions as well as on plant growth. Data on weathers such as precipitation, air temperature, relative humidity, and wind speed were collected automatically during the season every 60 min, as well as the soil water depth. Analyzing the data collected, water balance analysis was well performed with low error (1.00%) in which the water inflows through precipitation and irrigation were 560 mm and 865 mm, respectively, while the outflows by crop evapotranspiration, percolation, and runoff were 430, 306 and 675 mm, respectively. Compared to conventional rice farming as commonly practices by applying continous flooding irrigation, water productivities of organic SRI were 30% and 27% higher with respect to total water input (WPIR) and with respect to the amount of evapotranspiration (WPET, respectively. Organic SRI produced 33% higher yield than that the average of conventional methods in the same subdistrict. The key was intermittent irrigation by maintaining shallow water depth (nearly soil surface) in the vegetative and generative stages. Therefore, it is an attractive option to farmers in irrigated areas where water resources is limited due to regional climate change effects. Keywords:             
Evaluasi Koefisien Tanaman Padi Pada Berbagai Perlakuan Muka Air Nur Aini Iswati Hasanah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 10, No 2 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1567.879 KB) | DOI: 10.31028/ji.v10.i2.57-68

Abstract

Paddy is the main agricultural commodity in Indonesia that needs a large amount of water. Accurate prediction of crop water use is essential to have an efficient irrigation system. The actual evapotranspiration (ETc) is an important factor for estimating water use. Moreover, crop coefficient (Kc) is one of the important parameters in ETc calculation. In this study, Kc of paddy is estimated by using experimental pots under various water tables treatments. The water table is controlled by using mariotte tube and set at -12 cm, -7 cm, -5 cm, -3 cm, 0 cm, and +2 cm from the soil surface. From the experimental sets, the value Kc is calculated by using modified water balance equation and Kalman Filter. The result shows that water table treatment in paddy farming influences soil moisture ( ) and soil temperature (Tsoil). Soil physic parameter fluctuation due to water table treatment affects the plant growth and potential evapotranspiration. Kc value at each water table treatment is different, and varies with plant growth phase. The average Kc for all water table treatments are 0.77-1.27 (initial season), 0.90-1.11 (crop development), 1.10-1.39 (mid-season), and 1.17-1.40 (late season).
Estimasi Gas Rumah Kaca pada Berbagai Macam Pengelolaan Air Menggunakan Model Denitrifikasi-Dekomposisi (DNDC) Arif Rahmat; Chusnul Arif; Yudi Chadirin
Jurnal Irigasi Vol 13, No 1 (2018): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1097.156 KB) | DOI: 10.31028/ji.v13.i1.11-20

Abstract

Escalation of the scarcity in water resources has stimulated the development of a different method to preserve water in the paddy field. Several studies have been carried out simultaneously to observed the effectiveness of various water regimes on sustaining water, mitigating greenhouse gases (GHG), and maintaining rice yields. Irrigation management is a critical factor in controlling Methane (CH4) and Nitrous oxide (N2O) emission in the paddy field. The aim of this research is to evaluate the Denitrification-Decomposition (DNDC) Model in estimated greenhouse gas from various water regime management. This research conducted from January until May 2018, in plot experiment used SRI method under three different water regimes: flooding regime (RT), wet regime (RB), and dry regime (RK). DNDC Model was created to predicted CH4 and N2O emission in the agricultural ecosystem. This model already used and evaluated in subtropical land, but the ability of this model still needs to evaluate for soil in the tropical area such as Indonesia. The emission result showed a different pattern between the simulation model and observation model. The coefficient of determination (R2) from CH4 and N2O emission simulation with actual fluxes are 0.123 and -0.237. The finding in this study indicated that the simulation model needed improvement to be able to estimate the CH4 and N2O emissions from Indonesia’s environmental condition.
Pengembangan Model Jaringan Saraf Tiruan untuk Menduga Emisi Gas Rumah Kaca dari Lahan Sawah dengan berbagai Rejim Air Chusnul Arif; Budi Indra Setiawan; Slamet Widodo; - Rudiyanto; Nur Aini Iswati Hasanah; Masaru Mizoguchi
Jurnal Irigasi Vol 10, No 1 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.168 KB) | DOI: 10.31028/ji.v10.i1.1-10

Abstract

The paper proposes the artificial neural networks (ANN) model to predict methane (CH4) and Nitrous Oxide (N2O) emissions under different irrigation system based on easily measurable environmental biophysics parameters such as soil moisture, soil temperature and soil electrical conductivity. To verify the model, two experiments were conducted in the pot experiments in two different locations. The first location was in the greenhouse of Meiji University, Kanagawa Prefecture, Japan from 4 June to 21 September 2012, and the second location was in water resources engineering laboratory, Department of Civil and Environmental Engineering-IPB from 2 July to 10 October 2014. In each location, there were three different irrigation systems adopted with the System of Rice Intensification (SRI) principles. We called the experiment as SRI Basah (SRI B1 and SRI B2 for the first and second locations, respectively), SRI Sedang (SRI S1 dan SRI S2) dan SRI Kering (SRI K1 dan SRI K2). Each treatment has different water level during growth stages. As the results, the developed ANN model can predict CH4 and N2O emissions accurately with determination coefficients of 0.93 and 0.70 for CH4 and N2O prediction, respectively. From the model, characteristics of those greenhouse gas emissions can be well identified. For the mitigation strategy, SRI B1 and SRI B2 treatments in which the water level was kept at nearly soil surface are the best strategy with highest yield production and lowest GHG emission.
Muka Air Optimum Pada System Of Rice Intensification (SRI) Nur Aini Iswati Hasanah; Budi Indra Setiawan; Chusnul Arif; Slamet Widodo
Jurnal Irigasi Vol 12, No 1 (2017): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.845 KB) | DOI: 10.31028/ji.v12.i1.55-64

Abstract

Controlling water table is the way to manage water in SRI paddy field. Farmers tend to apply different water table depend on their local water management practices. It may have different effect on plant growth that can be seen in the number of tillers. In this study, tiller development of SRI paddy was studied by using experimental pots under various water tables treatments. The water table is controlled by using mariotte tube and set at -12, -7, -5, -3, 0, and +2 cm from the soil surface. The result shows that soil moisture (Ɵ) were fluctuated due to intermittent irrigation and water table treatment. It affects the tiller growths rate that varied with average value 0.21-0.29 tiller/day. The first tiller appears at 18 days after transplanting (DAT). The tillers number keep increasing until reaching the highest number (around 63 to 72 DAT). This empirical study showed that setting water table at -5 cm under soil surface in SRI paddy cultivation is the best to reach high tiller number, and highest land and water productivity compare to another water table treatments. Consistency in producing tiller from beginning tiller production until the end of cultivation season could be seen from this treatment. 
Co-Authors , Suroso - Rudiyanto Abda Abda Abdul Malik Abdul Malik Adisti Pematasari Putri Hartoyo Adlan Adlan Ahmad Abdul Hafiidh Ahmad Fausan Ahmad Fausan Akhmad Arifin Hadi Alfarisy, Derys Andra Aliyah Baida Wiwiyanti Allen Kurniawan Andita Sayekti Andrianto Ansari Ardiansyah -- -- Ari Sugiarto Ariani Dwi Astuti Arien Heryansyah Arif Rahmat Arif Wibowo Arif Wibowo Assiddiqi, Teuku Devan Astri Salatin Badi’atun Nihayah Bayu Dwi Apri Nugroho Bayu Dwi Apri Nugroho Budi I. Setiawan Budi Indra Setiawan Caroline, Maharani Bilqist Chairunnisa, Nurul Deka Trisnadi Munarso Dzaki Nauval Eko Sulistyono Endang Warsiki Erizal , Fadila Suryandika Febrita, Joana Fitriani Nurhayatin Nisha Fitry Hedianty, Riska Hafiidh, Ahmad Abdul Handono, Setiyo Yuli Hanhan A Sofiyuddin Hanhan Ahmad Sofiyuddin Hanhan Ahmad Sofiyuddin Hasby, Ahmad Rijani Herry Suhardiyanto I Gede Pande Mahardika Pande Inigo Kila Adinatha Inigo Kila Adinatha Kevin Philips Barakati Khairul Azmi Lolly M. Martief Loppies, Rasendriya Arkananta Bhanu Maftukhah, Rizki Maharani, Puspa Mark L. Sibag Masaru Mizoguchi Masaru Mizoguchi Matsuda, Hiroshi Mizoguchi, Masaru Moh Yanuar J Purwanto Muhamad Askari Muhammad Didik Nugraha Muhammad Faiz Kahendran Muhammad Faiz Kahendran Muhammad fauzan Namira Dita Rachmawati Nisha, Fitriani Nurhayatin Nugraha, Muhammad Didik Nur Aini Iswati Hasana Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nurfaijah Nurul Chairunnisa Oktari Ega Owen Jacob Notonugroho Owen Jacob Notonugroho P. Perdinan Pradha Wihandi Sinarmata Priyadi Rochdian, Yadi Purwanto, M. Y. J. Purwanto, Moh Yanuar J Putri Agustina Hotmatua Hutabalian Putri, Yulvin Marhamah Rachmawati, Namira Dita Ratih Pratiwi Romadhonah, Siti rudiyanto Rudiyanto Rudiyanto Rudiyanto Rudiyanto, Rudiyanto Rusianto Safira Qisthina Ayuningtyas Salatin, Astri Saptomo, S. K. Satyanto Krido Saptomo Septian Fauzi Dwi Saputra Siti Romadhonah Slamet Widodo Slamet Widodo Sofiyuddin, Hanhan A. Sutoyo Sutoyo Sutoyo Sutoyo Suwardi Suwardi Suwarto, Fardzanela Syafitri Hidayati Syamsiar, Syamsiar Tamura, Koremasa Tarissa Kristina Teuku Devan Assiddiqi Tri Sudibyo Umi Hapsari Wahyunanto Agung Nugroho Wahyunanto Agung Nugroho Willy Bayuardi Suwarno Yanuar Chandra Wirasembada Yanuar Jarwadi Purwanto, Moh Yudi Chadirin Yulvin Marhamah Putri Yusuf Wibisono