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Optimasi Sistem Irigasi Bawah Permukaan untuk Peningkatan Produktivitas Tanaman dan Air dengan Algoritma Genetika Arif, Chusnul; Caroline, Maharani Bilqist
Jurnal Teknik Sipil dan Lingkungan Vol. 8 No. 2: Agustus 2023
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University and The Institut of ENgineering Indonesia (PII), Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.8.02.85-94

Abstract

Optimasi dalam sistem irigasi masih menjadi persoalan dalam budidaya tanaman hortikultura yang efektif dan efisien dalam penggunaan air. Penelitian ini bertujuan untuk menentukan sistem irigasi bawah permukaan dalam meningkatkan produktifitas tanaman dan air dengan metode algoritma genetika (AG). Untuk mendapatkan data optimasi, skenario sistem irigasi dibagi menjadi 3 tinggi muka air (TMA) pada bak kontrol, yaitu 13 cm (TMA1), 10 cm (TMA2) dan 7 cm (TMA3). Dari hasil observasi menunjukkan bahwa produktivitas air (WP) tertinggi terjadi pada TMA2 sebesar 1,60 kg/m3, diikuti oleh TMA 3 dan TMA 1. Akan tetapi, dari hasil pemodelan AG didapatkan bahwa TMA yang optimum adalah 12,8 cm, 7 cm, 7,2 cm pada fase awal, tengah musim dan akhir musim. Dengan skenario ini akan didapatkan WP sebesar 1,96 kg/m3, dimana nilai ini 22,5 % lebih besar dibandingkan WP pada skenario TMA2. Oleh sebab itu, untuk membuktikan hasil pemodelan ini, perlu dilakukan uji lapangan
Performance of Automatic Unpowerer Subsurface Irrigation on Water-Lettuce, Choy-Sum, and Spinach Cultivations Syafriyandi, Debby; Setiawan, Budi Indra; Arif, Chusnul; Suwardi, Suwardi
Jurnal Keteknikan Pertanian Vol. 11 No. 3 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.3.268-278

Abstract

Irigasi bawah permukaan otomatis nirdaya yang dijadikan objek dalam penelitian ini ditujukan untuk memberikan air langsung ke zona perakaran dan akan berhenti bila sudah mencukupi dengan menggunakan katup level air. Penelitian ini bertujuan untuk mengevaluasi kinerja model irigasi ini pada 3 jenis sayuran, yaitu kangkung, Caisim, dan bayam dengan indikator produktivitas lahan, produktivitas air dan koefisien tanaman. Jaringan irigasi berupa rangkaian pot tanaman sejumlah 12 buah, masing-masing berukuran 33 cm diameter atas, 23.5 cm diameter bawah, dan tinggi 31 cm. Satu pot berukuran sama dijadikan pengendali level air. Air irigasi otomatis mengalir bila terjadi penurunan level air di setiap pot tanaman. Level air yang dipertahankan adalah 10 cm di bawah permukaan tanah. Diperoleh hasil, produktivitas lahan Caisim 9.6 kg m-2, bayam 12.3 kg m-2 dan kangkung 25.1 kg m-2. Produktivitas air Caisim 29.0 kg m-3, bayam 12.3 kg m-3, dan kangkung 52.4 kg m-3. Koefisien tanaman untuk Caisim berkisar 0.12–1.71, bayam 0.12–0.94, dan kangkung 0.16–1.46. Dapat disimpulkan, model irigasi bawah permukaan otomatis nirdaya ini sangat efektif dan efisien serta mudah dalam pemeliharaan dan pengoperasiannya.
Experimental and numerical investigation of laboratory scale sheetpipe-typed automatic subsurface irrigation Saptomo, Satyanto Krido; Rudiyanto; Askari, Muhamad; Arif, Chusnul; Suwarno, Willy Bayuardi; Adlan; Rusianto; Setiawan, Budi Indra; Tamura, Koremasa; Matsuda, Hiroshi
Communications in Science and Technology Vol 6 No 2 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.2.2021.604

Abstract

Sheet pipe is a type of perforated pipe used for drainage designed initially for drainage but has the potential for sub-surface irrigation. The objectives of this study were to experiment and observe the performance of the sub-surface irrigation control system with sheet pipe. This investigation covered the observation of water table control and its effect on soil moisture. The detailed process of water flow during the setting of the water table was numerically modeled in 2 dimensions to observe the distribution of soil moisture, soil pressure, and flux. The results showed that the system successfully controlled the water table at the desired level in the experiment. The developed two-dimensional numerical simulation showed the distribution of soil moisture in the model center as a response to the water table increase, represented by the variable head. The soil wetting advances toward soil surface driven by the water table, which was increased gradually and reached saturation at the height of water table setpoint.
OPTIMASI PEMBERIAN AIR IRIGASI TANAMAN MELON (Cucumis Melo L.) PADA SISTEM POCKET FERTIGATION DENGAN ALGORITMA GENETIKA Abdul Malik; Chusnul Arif
JURNAL SUMBER DAYA AIR Vol 19, No 1 (2023)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v19i1.825

Abstract

 Irrigating and fertilizing (known as fertigating) should be applied more effectively and efficiently. Pocket fertigation technology as an alternative fertigation was developed to achieve those purposes. The main challenge applied to the technology is to determine the optimum irrigation water. The objective of the study is to optimize irrigation water of the pocket fertigation, particularly in determining the optimal soil moisture during the growth stage by genetic algorithms. The method was developed based on one planting season of melon (Cucumis Melo L) cultivation under two different emitter of pocket fertigation with two different water irrigation regimes as well as the control. The treatments were pocket fertigation with textile layer emitter and wet irrigation (PK-H), textile layer emitter and dry irrigation (PK-L), emitter without layer and wet irrigation (PT-H), emitter without layer and wet irrigation (PT-L), and control with wet irrigation (PC-H) and dry irrigation (PC-L), respectively. The genetic algorithms model was developed with the objective function to achieve optimum fruit fresh weight and sweetness level. As the results, the optimum soil moisture is 0.34; 0.32; 0.31; 0.30; 0.26; 0.30; and 0.29 m3/m3 for every 9 days during the planting period. This value is thought to produce optimum fruit with a weight of 1115 g, a sweetness value of 8.6 brix, and increased water productivity of 27-46%. In addition, the pocket fertigation increased water productivity by 14,17% compared to without the pocket fertigation. Keywords: irrigation water,  genetic algorithm, pocket fertigation, water productivity  
Inisiasi Pengolahan Air Embung dengan Teknologi Multimedia Filter (MMF) sebagai Solusi Air Bersih di Kabupaten Bojonegoro Chusnul Arif; Allen Kurniawan; Endang Warsiki; Teuku Devan Assiddiqi; Ahmad Rijani Hasby
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 3 (2024): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.10.3.324-332

Abstract

Clean water and proper sanitation are fundamental human needs. Nganti Village, located in Ngraho Subdistrict, Bojonegoro Regency, faces significant drought and clean water shortages, particularly during the dry season. The water quality remains subpar despite the presence of springs and water reservoirs. Consequently, processing raw water from the village's reservoir can offer a viable solution. This service activity aims to harness water reservoirs as a clean water source through multimedia filter (MMF) technology. The activities, conducted from 2022 to the end of 2023, encompass four stages: socializing the program plans, constructing multimedia filters (MMF), installing the water treatment unit on-site, and evaluating water quality, followed by necessary follow-ups. The primary activities involve installing water treatment units with MMF technology in collaboration with village officials and the community. The treated water is then tested for quality at the IPB University laboratory. Test results indicate that MMF technology significantly improves water quality, reducing parameters such as Magnesium, Manganese, Calcium, Iron, and Phosphate by 25.8‒97.8%, thus meeting quality standards. However, some parameters, such as TSS, COD, and Zinc, still exceed quality standards, necessitating further processing. This advanced water treatment requires involvement from the local government, particularly in funding through community empowerment programs, to install advanced treatment units and provide operational support for these units.
Neural networks based-simple estimated model for greenhouse gas emission from irrigated paddy fields Arif, Chusnul; Purwanto, Yohanes Aris; Rudiyanto, Rudiyanto; Mizoguchi, Masaru
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp231-239

Abstract

The current study aims to develop a simple model for estimating greenhouse gas emissions originating from paddy fields, utilizing backpropagation neural networks. The model integrated three input parameters: soil moisture, soil temperature, and soil electrical conductivity (EC), while generating estimations for two output parameters: methane (CH4) and nitrous oxide (N2O) emissions. The model was put into practice across three different irrigation systems, i.e., continuous flooded (FL), wet (WT), and dry (DR) regimes. For model training and validation, the input parameters were measured by a single 5-TE sensor. Concurrently, CH4 and N2O emissions were determined utilizing a closed chamber, and gas samples were subjected to laboratory analysis. Findings unveiled that the developed model accurately estimated CH4 and N2O emissions, demonstrating commendable coefficient of determination (R2) values ranging from 0.60 to 0.97 for validation process. Notably, the WT irrigation system exhibited the highest precision, boasting R2 values of 0.97 for CH4 and 0.73 for N2O estimation, respectively. Conversely, the FL irrigation system has the lowest accuracy with R2 values of 0.66 and 0.60. Despite variances in accuracy across irrigation systems, the overall performance remained deemed acceptable, warranting the model's applicability for estimating greenhouse gas emissions under diverse irrigation scenarios.
Kajian Kebutuhan Irigasi Sawah di Lapangan Daerah Irigasi Cihea Kabupaten Cianjur Sutoyo, Sutoyo; Purwanto, M. Y. J.; Arif, Chusnul; Saptomo, S. K.; Heryansyah, Arien
Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil  Vol. 9 No. 1 (2025)
Publisher : Universitas Ibn Khaldun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/komposit.v9i1.17264

Abstract

Indonesia is known as an agricultural country because most of its people cultivate rice in rice fields. BPS through the area survey framework (KSA) stated that the total harvest area in 2022 was 10.45 million hectares. This large area is very likely to cause inefficient water use in rice cultivation considering that most of the cultivation is carried out by inundation. Measurement of irrigation water needs in rice fields has been carried out mostly in the analysis stage, no detailed measurements have been found in evaluating irrigation water needs in rice fields. Evaluating the need for irrigation water in rice fields can easily be done with a water balance approach that considers all aspects of both incoming and outgoing water. This study aims to examine the components of irrigation water needs in the land preparation period. The study was conducted on rice plots equipped with several measuring instruments. Measuring water discharge in and out using CTF, weather data using AWS, and percolation measurements in the field. Measurement of water demand in rice fields on the plot resulted in a total inflow value of 195.38 mm and rainfall of 40.40mm. The total value of evapotranspiration occurred was 104.11 mm, the percolation value was 54.00 mm and the discharge out value was 29.59 mm, so the water loss was 48.08 mm (24.61%)
Pengembangan Model Empiris Penentuan Kebutuhan Air Irigasi Penyiapan Lahan Padi Sawah Hemat Air Arif, Chusnul; Purwanto, Moh Yanuar J; Saptomo, Satyanto Krido; Sutoyo; Heryansyah, Arien; Sofiyuddin, Hanhan A.
Jurnal Teknik Sumber Daya Air Vol. 4 No. 1 (Juni 2024)
Publisher : Himpunan Ahli Teknik Hidraulik Indonesia (HATHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56860/jtsda.v4i1.94

Abstract

Currently, in KP-01 the determination of irrigation water requirements for land preparation (KAIPL) for rice fields is still based on the Van de Goor & Zijlstra (VGZ) equation with the assumption of constant discharge. This method is practical in planning but tends to be wasteful in implementation. Therefore, the aim of this paper is to develop an empirical model for determining KAIPL that is more water efficient by implementing intermittent irrigation. The model was developed from the application of inundation at certain periods and water levels for three different soil textures. The empirical model was developed from the VGZ equation by adding constants as factors for intermittent irrigation and soil texture (called the MVGZ model). Then compared with the results of measurements in the field during 2 growing seasons in DI Cihea, West Java. The results show that the constant values for the MVGZ model with heavy, medium and light soil textures are 0.79; 0.76 and 0.73. With this constant, accuracy is obtained with a coefficient of determination (R2) of 0.99. Field validation results show that the MVGZ model is close to the measurement results with water savings of 28-34% compared to the VGZ model. Therefore, the MVGZ model can be applied to determine KAIPL which is more water efficient.
Integrating Social Empowerment and Membrane Technology for Clean Water Access in a Rural Indonesian Community Case Study in Nganti Village, Bojonegoro Handono, Setiyo Yuli; Wibisono, Yusuf; Nugroho, Wahyunanto Agung; Arif, Chusnul
Jurnal AGRISEP JURNAL AGRISEP VOL 24 NO 02 2025 (SEPTEMBER)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jagrisep.24.02.633-660

Abstract

Human resilience is related to the availability of natural resources, such as water, which is developed through community empowerment and technology. Nganti Village, Bojonegoro is one of the villages that is vulnerable to the availability of clean water for daily consumption. So, this research aims to  (1) analyze the problems and potential of water sources that are not utilized by the Nganti community, (2) analyze community strategies in dealing with water problems, and (3) simulate alternative membrane technology based on community empowerment. This research used a combined approach, quantitative and qualitative, involving key informants, including the Village Head, Head of the Clean Water Association, Ngraho Sub-district Head, and Community Leaders, in addition to a survey of 40 Nganti-Ngraho residents. Data analysis is descriptive statistical and qualitative. The water quality of a spring in Nganti Village shows that the water is not suitable for drinking, washing and latrines (MCK) due to the high content of iron and other metals. Meanwhile, the community's strategy is to use water reservoirs as an alternative water source and introduce membrane technology through community empowerment activities.
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: Agustus 2018
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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
Co-Authors , Suroso - Nurfaijah - Rudiyanto Abdul Malik Adisti Pematasari Putri Hartoyo Adlan Adlan Ahmad Abdul Hafiidh Ahmad Fausan Ahmad Fausan Ahmad Rijani Hasby 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 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 Fitriani Nurhayatin Nisha Hafiidh, Ahmad Abdul Handono, Setiyo Yuli Hanhan A Sofiyuddin Hanhan Ahmad Sofiyuddin Hanhan Ahmad Sofiyuddin Herry Suhardiyanto I Gede Pande Mahardika Pande Inigo Kila Adinatha Inigo Kila Adinatha Kevin Philips Barakati Khairul Azmi Khairul Azmi Lolly M. Martief 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 Nurfaijah Nurul Chairunnisa Oktari Ega Owen Jacob Notonugroho Owen Jacob Notonugroho P. Perdinan Pradha Wihandi Sinarmata 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 Syafriyandi, Debby Tamura, Koremasa Tarissa Kristina Teuku Devan Assiddiqi Teuku Devan Assiddiqi Tri Sudibyo Umi Hapsari Wahyunanto Agung Nugroho Wahyunanto Agung Nugroho Willy Bayuardi Suwarno Yanuar Chandra Wirasembada Yudi Chadirin Yulvin Marhamah Putri Yusuf Wibisono