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FERTIGATION SCHEDULING IN HYDROPONICS SYSTEM FOR CUCUMBER (CUCUMIS SATIVUS L.) USING ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHMS Suhardiyanto, Herry; Arif, Chusnul; Suroso, ,
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 36 No. 1 (2008): Jurnal Agronomi Indonesia
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (63.676 KB) | DOI: 10.24831/jai.v36i1.1361

Abstract

A computer program for fertigation scheduling in a hydroponics system has been developed using Artificial Neural Network (ANN) and Genetic Algorithms (GA). The ANN model was used to establish the relationship between the environmental factors and outflow volume of fertigation in a hydroponics system for cucumber. The result showed that the predicted outflow volume agreed well with those of the measured values. The correlation coefficients (R2) between the predicted and measured values were 0.9673, 0.9432, and 0.8248 for vegetative, flowering and maturation stages, respectively. Optimum schedules for vegetative, flowering, and maturation stages were in a good coincidence at R2 of 0.8808 with the amount of fertigation required by the plants as calculated using the empirical method.   Key words :  System identification, optimization, plant water consumption, fertigation, hydroponics
PENGEMBANGAN MODEL JARINGAN SYARAF TIRUAN UNTUK MENDUGA FLUKS GAS N2O DARI LAHAN SAWAH Nugraha, Muhammad Didik; Arif, Chusnul
Jurnal Teknik Sipil dan Lingkungan Vol. 4 No. 3 (2019): Edisi 4 (3) Desember 2019
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.13 KB) | DOI: 10.29244/jsil.4.3.233-242

Abstract

Artificial neural networks (ANN) model was used to estimate N2O gas flux emitted from rice paddies with several water regime treatments. The purpose of this study were to identify the relationship of micro-environment with different water regimes towards N2O gas flux, to predict the amount of N2O gas flux, and  to validate neural network models. Field experiment was conducted in the field laboratory of Civil and Environmental Engineering-IPB from February to August 2016. Land of paddy was treated with three water regime of continuous flooding water regime, wet water regime, dry water regime. ANN model with back propagation algorithm consisted of input layer with six nodes of micro- environment parameter and N2O gas was used as the model output. The total N2O flux for continuous flooding water regime, wet and dry regime were -25.95 mg/m2/season, 17.32 mg/m2/season, and 21.16 mg/m2/season. ANN each water regime was obtained the coefficient of determination (R2) of was 1, so ANN model was acceptable and could be used to predict N2O flux. Key words: artificial neural networks, micro environment, N2O gas flux, paddy field
PENGEMBANGAN MODEL DENITRIFICATION DECOMPOSITION (DNDC) UNTUK PENDUGAAN EMISI GAS METANA (CH4) DARI LAHAN PADI SAWAH Nisha, Fitriani Nurhayatin; Arif, Chusnul
Jurnal Teknik Sipil dan Lingkungan Vol. 4 No. 1 (2019): Edisi 4 (1) April 2019
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.778 KB) | DOI: 10.29244/jsil.4.1.1-12

Abstract

Cultivated paddy fields that applied in Indonesia currently produces high emissions of greenhouse gases (GHG), particularly methane gas (CH4). This research aimed to analyze CH4 gas emission in various water management, and to develop DNDC model in predicting CH4 gas emission. This research was conducted from January to May 2018, located at field laboratory of Departement of Civil and Environmental Engineering. The research was conducted by three water regimes i.e., continuously flooded (RT) for conventional rice farming, wet regime (RB), and dry regime (RK) for system of rice intensification (SRI). The highest total methane (CH4) flux was 48.74 kg/ha on RT, on RB was 3.59 kg/ha and on RK -5.40 kg/ha. DNDC model needed data inputs of climate, soil physics, vegetation and anthropogenic activities. The result of the DNDC model showed that the highest total CH4 flux was 44.44 kg/ha on RT, on RB was 17.88 kg/ha and on RK was 0.02 kg/ha. The result, of total actual of CH4 gas flux was compared with DNDC model and got the coefficient of determination (R2) values 0.93, so the model could be used to predict total CH4 gas emission.Keywords: DNDC, methane gas, paddy field, water regime.
PENERAPAN ALGORITMA GENETIKA UNTUK OPTIMASI PENGELOLAAN AIR LAHAN PADI SAWAH RENDAH EMISI GAS METANA (CH4) Putri, Yulvin Marhamah; Arif, Chusnul
Jurnal Teknik Sipil dan Lingkungan Vol. 3 No. 3 (2018): Edisi 3 (3) Desember 2018
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.445 KB) | DOI: 10.29244/jsil.3.3.149-160

Abstract

Conventional paddy field with continuous flooding irrigation produces a lot of greenhouse gases (GHG) emissions, especially methane gas (CH4). Effective water management is important to reduce methane gas emissions from paddy fields. This study aimed to determine optimum water level and soil moisture in each plant growth stage by genetic algorithms (GA) with system of rice intensification (SRI) practices. Research was conducted with three irrigation regimes i.e, continuous flooding regime (FR), moderate regime (MR), and dry regime (DR). Observation data were used to simulate the optimum water level and soil moisture. Based on the optimum water level scenario of the GA model, methane gas emissions could reduce 63.54% and optimum soil moisture can reduce methane gas emission up to 58.12%.Keywords: genetic algorithms, greenhouse gases, soil moisture, SRI, water level
ANALISIS TINGKAT RISIKO PAPARAN NOX TERHADAP PEKERJA DI GARDU TOL AKIBAT VOLUME KENDARAAN DI PINTU TOL JAGORAWI, BOGOR Salatin, Astri; Arif, Chusnul; Rachmawati, Namira Dita
Jurnal Teknik Sipil dan Lingkungan Vol. 4 No. 1 (2019): Edisi 4 (1) April 2019
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.746 KB) | DOI: 10.29244/jsil.4.1.49-58

Abstract

Bogor as tourist destination at weekend bear quite high vehicles volume. The purpose of this research was to analyze corelation between vehicles volume at highways gate and NOx exposure from the vehicles. By knowing the average concentration of NOx exposure level pollution risk to the health of highway gate worker could be analyzed. This research using Griess Saltzman method referring to SNI 19-7119.2-2005 using some equipment like impinger. The result showed that type of vehicle that produced the highest amount of NOx pollutant was vehicles with diesel engine, and the gate with highest NOx concentration was gate 08 with NOx concentration value 40.008 µg/m3 at 09.00-10.00. Risk quotient (RQ) to the workers with weighed 65-90 kg and had been working for 25 years was 0.041950 and it was RQ < 1. It meaned that the average pollution caused by NO2 at the highways gate does not affect workers and workers does not cause any health risk because RQ < 1. For the next research, it would be recommended to conduct on O3 and NO3, because those compounds are easily reacted with NOx in the air.
ANALISIS SENSITIVITAS EMISI GAS METANA (CH4) PADA SAWAH DENGAN METODE KORELASI RANK SPEARMAN Azmi, Khairul; Arif, Chusnul
Jurnal Teknik Sipil dan Lingkungan Vol. 3 No. 2 (2018): Edisi 3 (2) Agustus 2018
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.492 KB) | DOI: 10.29244/jsil.3.2.97-110

Abstract

Global warming occurs due to increased concentrations of GHGs in Earth's atmosphere. CH4 gas is one of the GHG which potentially 21 times greater to result global warming than CO2. Emissions of CH4 in rice fields affected by irrigation pattern and micro environmental factors. This research aimed to identify the relationship of micro-environmental factors to CH4 emissions and analyse its sensitivity level. The sensitivity analysis of CH4 gas in this study was done by rank Spearman?s correlation method. The results showed that the irrigation pattern was positively correlated with CH4 emissions. Total flux of CH4 for the stagnant regime was 26.00 ± 3.41 x 103 mg/m2/season, wet regime was 15.33 ± 4.37 x 103 mg/m2/season, and dry regime was 11.80 ± 6.72 x 103 mg/m2/season. The micro-environment parameters that was soil pH, soil moisture, soil electrical conductivity, and water level are positively correlated with flux of CH4, meanwhile soil temperature and soil redox potential are negatively correlated with flux of CH4. Based on the analysis, the most sensitive micro-environmental parameters for CH4 gas emissions are soil moisture, with an average rs value is 0.51 and an average R2 is 0.28. Keywords: GHG, methane, sensitivity analysis, Spearman?s correlation, SRI
SEBARAN INTRUSI AIR LAUT DI KABUPATEN INDRAMAYU, JAWA BARAT Hafiidh, Ahmad Abdul; Saptomo, Satyanto Krido; Arif, Chusnul
Jurnal Teknik Sipil dan Lingkungan Vol. 3 No. 2 (2018): Edisi 3 (2) Agustus 2018
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.064 KB) | DOI: 10.29244/jsil.3.2.69-76

Abstract

Wilayah terluas sebagai penghasil beras di Pulau Jawa adalah Kabupaten Indramayu. Sebagian besar Kabupaten Indramayu berada di daerah pesisir, airtanah menjadi sumberdaya yang sangat dibutuhkan untuk irigasi pertanian. Eksploitasi yang berlangsung secara terus menerus dan volum yang semakin meningkat dari waktu ke waktu menyebabkan terbentuknya ruang kosong di lapisan akuifer sehingga ruang kosong pada tanah kemudian diisi oleh air laut. Pada penelitian ini Jaringan Saraf Tiruan (JST) digunakan untuk memprediksi intrusi air. Tujuan penelitian untuk menentukan peta zonasi intrusi berdasarkan kualitas airtanah, yaitu total dissolved solid (TDS) ,dan daya hantar listrik (DHL). Penelitian dilakukan di 33 kecamatan dengan 83 titik sampling pada bulan Februari 2017. Luas sawah di Kabupaten Indramayu sekitar 57,94%, dengan kontur berupa dataran rendah dengan daerah endapan di timur laut. Pasokan air permukaan Kabupaten Indramayu berasal dari DAS Cimanuk, Cipunegara, dan Cipanas. Pada musim kemarau air tanah Kabupaten Indramayu sudah dieksploitasi berlebihan untuk sumur bor sebagai irigasi. Akuifer bebas terletak 3 - 30 meter di bawah permukaan tanah, dengan tebal sekitar 15 - 20 meter, mengalir dari selatan ke utara. Topografi Kabupaten Indramayu berada pada ketinggian 0 - 100 meter di atas permukaan air laut dengan kemiringan rata-rata 0 - 2%. Hal inilah yang menyebabkan Kabupaten Indramayu tergenang air saat curah hujan tinggi. Nilai kualitas airtanah didapat bahwa bagian utara dan timur lebih besar dari selatan dikarenakan batas pantai terletak di bagian utara dan timur.Keywords: EC, Indramayu District, intrusion, TDS
Pengembangan Model Jaringan Saraf Tiruan untuk Menduga Emisi Gas Rumah Kaca dari Lahan Sawah dengan berbagai Rejim Air Arif, Chusnul; Setiawan, Budi Indra; Widodo, Slamet; Rudiyanto, -; Hasanah, Nur Aini Iswati; Mizoguchi, Masaru
Jurnal Irigasi Vol 10, No 1 (2015): Jurnal Irigasi
Publisher : Balai Penelitian dan Pengembangan Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31028/ji.v10.i1.1-10

Abstract

Makalah ini menyajikan model Jaringan Syaraf Tiruan (JST) untuk memprediksi gas metan (CH4) dan Nitrous Oxide (N2O) yang diemisikan dari padi sawah dengan perlakukan berbagai pemberian air berdasarkan data parameter lingkungan biofisik di dalam tanah yang mudah diukur seperti kelembaban tanah, suhu tanah dan daya hantar listrik (DHL) tanah hanya dengan satu jenis sensor. Untuk melakukan validasi model, percobaan budidaya padi sawah di pot dilakukan di dua tempat berbeda, yaitu di rumah kaca, Meiji University, Kanagawa Jepang dari 4 Juni sampai 21 September 2012 dan di laboratorium Teknik Sumberdaya Air, Departemen Teknik Sipil dan Lingkungan-IPB dari 2 Juli sampai 10 Oktober 2014. Di setiap lokasi, terdapat tiga percobaan pemberian air dengan mengadopsi metode budidaya System of Rice Intensification (SRI). Perlakuan tersebut diberi nama SRI Basah (disingkat SRI B1 dan SRI B2 untuk lokasi pertama dan kedua), SRI Sedang (SRI S1 dan SRI S2) dan SRI Kering (SRI K1 dan SRI K2). Perbedaan percobaan antar perlakuan adalah pengaturan tinggi muka disetiap umur tanaman. Dari model JST yang dikembangkan didapatkan hasil validasi dengan nilai koefisien determinasi (R2) sebesar 0.93 dan 0.70 untuk prediksi emisi gas CH4 dan N2O yang mengindikasikan bahwa model dapat diterima. Dari model tersebut, karakteristik emisi gas CH4 dan N2O terhadap perubahan parameter lingkungan biofisik dapat dijelaskan dengan baik. Untuk strategi mitigasi dari percobaan pemberian air yang dilakukan, pemberian air pada perlakuan SRI B1 dan B2 dengan menjaga jeluk muka air disekitar permukaan tanah merupakan strategi yang terbaik dengan indikator produksi tertinggi dan emisi gas rumah kaca (GRK) terendah.
Sistem Kontrol Tinggi Muka Air Untuk Budidaya Padi Nurfaijah, -; Setiawan, Budi Indra; Arif, Chusnul; Widodo, Slamet
Jurnal Irigasi Vol 10, No 2 (2015): Jurnal Irigasi
Publisher : Balai Penelitian dan Pengembangan Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31028/ji.v10.i2.97-110

Abstract

Penelitian ini bertujuan merancang sistem kontrol untuk menjaga tinggi muka air dan kelembaban tanah pada level yang dibutuhkan tanaman dan mengkaji tinggi muka air dan kelembaban tanah optimum pada setiap fase pertumbuhan budidaya padi. Sistem kontrol tinggi muka air dibentuk berdasarkan sistem kendali on-off dengan menggunakan mikrokontroler Arduino Uno ATMega328P. Ketika sensor memberikan input bahwa tinggi muka air berada di bawah set point maka dengan perintah mikrokontroler valve irigasi akan terbuka dan valve drainase tertutup. Jumlah dan waktu pemberian dan pengeluaran air irigasi tergantung set point. Set point dikontrol berdasarkan perlakuan rejim air. Rejim air terdiri dari 3 perlakuan yaitu Rejim Basah (RB), Rejim Agak Basah (RAB) dan Rejim Kering (RK). Hasil penelitian menunjukkan bahwa sistem irigasi otomatis sangat efektif dan efisien dalam mengendalikan tinggi muka air sesuai dengan algoritma kendali. Selain itu, hasil penelitian menunjukkan bahwa perlakuan rejim air mempengaruhi pertumbuhan tanaman, produktivitas lahan dan produktivitas air. Perlakuan rejim agak basah memberikan jumlah anakan tertinggi (138 anakan), hasil tanaman tertinggi 194,7 g/rumpun (setara 21, 6 ton/ha dengan asumsi jarak tanam 30 cm x 30 cm) dan produktivitas air tertinggi 3,16 kg/m3.
Muka Air Optimum Pada System Of Rice Intensification (SRI) Hasanah, Nur Aini Iswati; Setiawan, Budi Indra; Arif, Chusnul; Widodo, Slamet
Jurnal Irigasi Vol 12, No 1 (2017): Jurnal Irigasi
Publisher : Balai Penelitian dan Pengembangan Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31028/ji.v12.i1.55-64

Abstract

Pengendalian muka air merupakan cara mengelola air di sawah SRI. Petani cenderung mengaplikasikan muka air yang berbeda tergantung pada praktek pengelolaan air setempat. Hal ini dapat berimplikasi pada pertumbuhan tanaman yang dapat terlihat dari jumlah anakan. Pada penelitian ini dilakukan pengamatan pada pembentukan anakan padi SRI di berbagai perlakuan muka air. Muka air dikendalikan menggunakan tabung mariot dengan set-point -12, -7, -5, -3, 0, dan +2 cm dari permukaan tanah. Hasil penelitian menunjukkan nilai kelembaban tanah (Ɵ) berfluktuasi karena adanya penerapan irigasi berselang dan perbedaan muka air. Hal tersebut mempengaruhi jumlah anakan yang terbentuk dimana laju pembentukannya bervariasi antara 0,21-0,29 anakan/hari. Anakan pertama muncul pada 18 hari setelah tanam (HST). Jumlah anakan terus meningkat hingga mencapai nilai maksimal pada 63-72 HST. Studi empirik ini menunjukkan bahwa pengendalian muka air pada -5 cm dari permukaan tanah di budidaya padi SRI merupakan pengelolaan air terbaik dalam produksi anakan dengan produktivitas lahan dan air tertinggi daripada penerapan muka air lainnya. Konsistensi produksi anakan dari awal pembentukan anakan hingga akhir dari musim tanam terlihat pada perlakuan ini.