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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management J-Sil (Jurnal Teknik Sipil dan Lingkungan) Agromet Forum Pasca Sarjana International Journal of Science and Engineering (IJSE) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Ilmu Lingkungan Teknik Mesin "TEKNOLOGI" Jurnal Keteknikan Pertanian Jurnal Ilmu Komputer dan Agri-Informatika Majalah Geografi Indonesia AGRIVITA, Journal of Agricultural Science Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat GEA, Jurnal Pendidikan Geografi Jurnal Teknik Sipil Jurnal Irigasi Communications in Science and Technology Bawal : Widya Riset Perikanan Tangkap JURNAL PANGAN JURNAL TEKNIK HIDRAULIK Jurnal Tanah dan Iklim APPLIED RESEARCH ON CIVIL ENGINEERING AND ENVIRONMENT (ARCEE) JOURNAL OF WETLANDS ENVIRONMENTAL MANAGEMENT J-Sil (Jurnal Teknik Sipil dan Lingkungan)

Budi Indra Setiawan

Departemen Teknik Sipil Dan Lingkungan, Fakultas Teknologi Pertanian, Institut Pertanian Bogor (IPB University), Jl. Raya Dramaga, Kampus IPB Dramaga, Bogor 16002, Indonesia

Author-ID : 376817

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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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

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

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

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

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.

Irigasi Curah Otomatis Berbasis Sistem Pengendali Mikro Satyanto Krido Saptomo; Rahmat Isnain; Budi Indra Setiawan
Jurnal Irigasi Vol 8, No 2 (2013): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Determination of watering interval and moisture conditioning in sprinkle irrigation requires a supporting technology to optimize the irrigation. Arduino UNO microcontroller was used as an automatic controller that determine in watering based on soil moisture conditions determined by soil moisture sensor. The automatic sprinkle irrigation uses pF parameters to conditioning the soil moisture. Soil potential pF value between 4.2 ≤ pF <2, and are equivalent to the percentage of soil moisture 38.5%≤ soil moisture < 28.7%, were used aslower and upper set point in the automatic irrigation that operates solenoid valve for regulating irrigation water flow from water tank. The result shows that the automatic sprinkle irrigation system could keep the soil moisture between the desired setpoint range and thus can be applied for wider use.

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

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

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).

Sistem Kontrol Irigasi Otomatis Nirkabel - Wiranto; Budi Indra Setiawan; Satyanto Krido Saptomo
Jurnal Irigasi Vol 9, No 2 (2014): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Irrigation water provides on agricultural land should be used optimally, that automatic irrigation system that is able to provide crop water with the expected conditions are needed. For wide area the automatic irrigation system a use wireless sensor network system (WSN). The advantages of this system such as easy data download and the device is easy to install so the user will convenient to monitoring the entire irrigated area. In this research, XBee / XBee pro was used as wireless system devices with radio communication system and GSM modem device for SMS communication system. The objective of this research is to improve the efficiency of irrigation systems for wireless control. The benefits of this study is to provide an alternative automatic irrigation system for the region with limited water availability because the system is able to regulate irrigation water allocation according to crop needs (efficiency of irrigation water use).

Analisis Konsumsi Air Sayuran Organik dalam Rumah Tanaman Vita Ayu Kusuma Dewi; Budi Indra Setiawan; Roh Santoso Budi Waspodo
Jurnal Irigasi Vol 12, No 1 (2017): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Organic vegetables grown special in planthouses require special irrigation practice to maintain the optimum range of soil water content throughout the cultivation season. The problem of irrigation is the absence of parameter that used to determine schedule and water irrigation. This research was to figure out whether the sprinkle irrigation used for Kailan vegetable in a planthouse could fulfil the water demand and the total water consumption based on change of water content. Herewith, the daily soil moisture was observed and analyzed the water flow in the soil based on the soil physical and hydraulic properties. The result showed that the soil water content was always within field capacity and permanent wilting point but 87% of cultivation period was lower than readily avaiable water (RAW). This condition indicated that the water irrigation is not optimal. Based on change of soil water content analysis, water consumption for kailan was 55 mm during cultivation with the consumption rate was 1.1 mm/day. The water requirement to attain RAW condition was 130 mm.

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

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.

Co-Authors - Nurfaijah - Reskiana - Rudiyanto - Wiranto Adlan Adlan Agus Sakawuna, Wandira Ahmad Fausan Ahmad Fausan Akfia Rizka Kumala Akfia Rizka Kumala, Akfia Rizka Aldi , Kukuh Allen Kurniawan Amalia Nurul Huda Amalia, Regina Anna Farida Ardiansyah -- -- Ari Sugiarto Arief Sabdo Yuwono Arief Sabdo Yuwono Armanto, Muhammad Edi Bagus Rahmansyah Priyoadi Bakri Bakri Bakri Bakri Budiman Minasny Budy Wiryawan Chusnul Arif Deka Trisnadi Munarso Drajat Martianto Edi Susanto Eka Sulaecha Elhamida Rezkia Amien Elokpere, Immanuel Nauk Enan Mulyana Adiwilaga Endang Gunawan Erfiana, Eka Erizal , Fachruddin Fachruddin Fachruddin, Fachruddin Fadli Irsyad Hadi Susilo Arifin Hanhan Ahmad Sofiyuddin Hanhan Ahmad Sofiyuddin Haris, Abdul Hermantoro . Heru Anggara Hidayat Pawitan Hideki Furuya I Dewa Made Subrata Immanuel Nauk Elokpere Joice Ester Manihuruk Joko Sumarsono Kamarudin Abdulah Kazutoshi Osawa Khusnita Azizah Kukuh Aldi Kunihiko Yoshino Leopold O. Nelwan Lilik B. Prasetyo LILIK BUDIPRASETYO Lismining Pujiyani Astuti Liyantono Liyantono . Lolly M. Martief Luthfi Riady M. Yanuar J. Purwanto Manihuruk, Joice Ester Marimin , Martianto D Martianto D Martianto D, Martianto D Masaru Mizoguchi Masaru Mizoguchi Matsuda, Hiroshi Meiske Widyarti Meiske Widyarti Moch Ridwan Widiansyah Momon Sodik Imanuddin Muh. Sakti Muhammadiah Muh. Taufik Muhamad Askari Muhamad Askari Muhammad Didik Nugraha Muhammad Edi Armanto Muhammad Ihsan Muhammad Ihsan Muhammad Nor Mahmudi Muhammad Nor Mahmudi Muhammad Yanuar J. Purwanto Mustafril . Mustafril Mustafril Mustafril Mustafril Mustafril Mustafril Mustafril, Mustafril Nana Mulyana Arifjaya Nanda Nashiha Ihsani Naresworo Nugroho Niken Tanjung Murti Pratiwi Nora H. Pandjaitan NP, Ratmini S Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nurfaijah Nurfaijah Nurwahid Dimas Saputro Oktari Ega P. Perdinan Popi Redjekiningrum Dwi Mustatiningsih Popi Rejekiningrum Pradha Wihandi Sinarmata Prasetyo LB Prasetyo LB, Prasetyo LB,, Prasetyo LB Prastowo Prastowo Prastowo, Prastowo Priyoadi, Bagus Rahmansyah Purwanto MYJ Purwanto MYJ Purwanto MYJ, Purwanto MYJ Rahmat Isnain Ramadan, Risky Ratmini S NP Riani Muharomah Riani Muharomah Riani Muharomah Risky Ramadan Roh Santoso B. Waspodo Roh Santoso Budi Waspodo Rosmina Zuchri, Rosmina Rudi Yanto Rudi Yanto, Rudi rudiyanto Rudiyanto . Rudiyanto Rudiyanto Rusianto Saputra, Septian Fauzi Dwi Satyanto Krido Saptomo Septian Fauzi Dwi Saputra Slamet Suprayogi Slamet Suprayogi Slamet Widodo Slamet Widodo Soewarso Soewarso Sri Wahjuni Suhardi . Sulaecha, Eka Suroso Suroso Suroso Suwardi Suwardi Suwardi Suwardi Syafriyandi, Debby Tamrin Tamura, Koremasa Tarissa Kristina Teuku Devan Assiddiqi Tri Julianto, Baskoro Umi Hanifah Vita Ayu Kusuma Dewi Widiansyah, Moch Ridwan Willy Bayuardi Suwarno Wiranto . Yanto Surdianto Yanuar Chandra Wirasembada Yanuar Chandra Wirasembada Yazid Ismi Intara Yudi Chadirin Yuli Suharnoto

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