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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) J-Sil (Jurnal Teknik Sipil dan Lingkungan) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmu Lingkungan Paduraksa : Jurnal Teknik Sipil Universitas Warmadewa Jurnal Keteknikan Pertanian Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Teknik Pengairan: Journal of Water Resources Engineering Habitat AGRIVITA, Journal of Agricultural Science Journal of Mathematical and Fundamental Sciences Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Irigasi Communications in Science and Technology JURNAL SUMBER DAYA AIR Jurnal Pengabdian dan Pengembangan Masyarakat Jurnal Komposit : Jurnal Ilmu-Ilmu Teknik Sipil Jurnal Pusat Inovasi Masyarakat Jurnal Teknik Sumber Daya Air Jurnal Teknik Sipil Institut Teknologi Padang Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis J-Sil (Jurnal Teknik Sipil dan Lingkungan)

Chusnul Arif

Department Of Civil And Environmental Engineering, IPB University, Bogor, Indonesia 16680

Author-ID : 2889680

Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Transportation Other

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Analisis Analisis Neraca Air di Pulau Jawa-Bali sebagai Upaya Antisipasi Krisis Air: Water Balance Analysis at Java-Bali Island for Anticipating Water Crisis Nurul Chairunnisa; Chusnul Arif; Perdinan; Arif Wibowo
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 2: Agustus 2021
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.2.61-80

Water is one of the basic necessities used by living things on this earth. Along with the population growth with climate change, there are several cases of water crisis in Java and Bali, especially in the dry season. The purpose of this research is to project water demand and availability based on climate change scenarios, develop an analysis model for the impact of climate change on the water sector based on the water balance, and calculate environmental economic losses resulting from water deficit losses. The type of scenario used in climate analysis is RCP (Representative Carbon Pathway) 4.5 with two types of models. Provinces experiencing very critical water conditions in the 2021-2050 period using the CSIRO model are DKI Jakarta, East Java and Bali, with water criticality indexes of 296.25%, 113.88% and 123.64%, with a water deficit loss of IDR 1.2 billion, IDR 7.93 billion and IDR 0.87 billion. Whereas with the MIROC model, the areas that have very critical water conditions are DKI Jakarta Province with a water criticality index of 220.36%, with a water deficit loss of IDR 0.42 billion.

Evaluasi Metode Pendugaan Laju Evapotranspirasi Standar (ETo) Menggunakan Bahasa Pemograman Visual Basic Microsoft Excel di Kabupaten Nagan Raya Aceh: Evaluation of Standard Evapotranspiration Rate Estimation Method (ETo) Using Microsoft Excel Visual Basic Programming Language in Nagan Raya Aceh District Adlan; Budi Indra Setiawan; Chusnul Arif; Satyanto Krido Saptomo
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 1: April 2021
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.1.35-48

Estimation of evaporation rate is needed in hydrological data, especially in irrigation and drainage planning data. The method for estimating the evapotranspiration rate recommended by FAO is the Penman - Monteith method, however apart from this method there are still several methods that can be used if the data obtained in the field are different. Evaluation of the method of estimating the rate of evapotranspration is expected to help in choosing the right method when different data is obtained, so with this evaluation, we can see the accuracy of the methods. The methods that are closest to accuracy with the Penman - Monteith method are Hargreaves, Makkink, Turc, Blaney-Cridlle and Penman. If ordered based on the ranking of the evaluation results, the method that is closest to the Penman - Monteith method is Hargreaves, because of all the evaluation variabels Hargreaves has the best evaluation value. While the closest model based on the best R2 value is the Jensen-Haise model, but the error value of this model is very high.

Inventarisasi Emisi Gas Rumah Kaca Berdasarkan Penggunaan Lahan di Kota Bogor: Inventory of Greenhouse Gas Emissions by Land Use in Bogor Inigo Kila Adinatha; Chusnul Arif
Jurnal Teknik Sipil dan Lingkungan Vol. 7 No. 1: April 2022
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.7.1.49-64

Pemanasan Global merupakan isu lingkungan yang menjadi perhatian banyak negara saat ini. Inventarisasi emisi gas rumah kaca (GRK) dapat ditentukan dari beberapa sektor di suatu wilayah. Penelitian ini bertujuan untuk menentukan dan membandingkan emisi GRK antara tahun 2012, 2014 dan 2020 di Kota Bogor berdasarkan peta tata guna lahan, dan memberikan rekomendasi untuk mitigasi emisi GRK pada aktivitas beberapa sector berdasarkan kriteria IPCC. Data sekunder seperti data aktivitas sektor dan peta tata guna lahan dari Kota Bogor digunakan untuk menentukan jumlah emisi GRK dengan metode IPCC 2006 tier-1, kemudian menganalisis tata guna lahan dengan menggunakan ArcGIS. Hasil studi menunjukkan bahwa perumahan dan taman mendominasi tata guna lahan di Kota Bogor. Inventarisasi emisi GRK menunjukkan peningkatan dari 1,44 juta ton CO2 ekuivalen pada tahun 2012 meningkat menjadi 1,48 juta ton CO2 ekuivalen pada tahun 2014, dan menurun menjadi 1,02 juta ton CO2 ekuivalen pada tahun 2020. Penurunan emisi pada tahun 2020 ditengarai karena pandemik Covid-19 yang berdampak pada penurunan aktivitas khususnya transportasi. Meskipun terjadi penurunan, langkah mitigasi emisi GRK tetap diperlukan khususnya apabila pandemic telah berakhir.

Pengembangan Model Jaringan Syaraf Tiruan untuk Menduga Emisi Gas Metana dari Padi Sawah Chusnul Arif; Budi Indra Setiawan; Slamet Widodo; Rudiyanto Rudiyanto; Nur Aini Iswati Hasanah; Nurfaijah Nurfaijah; Oktari Ega; Masaru Mizoguchi
Jurnal Ilmu Komputer & Agri-Informatika Vol. 3 No. 2 (2014)
Publisher : Departemen Ilmu Komputer - IPB University

Budidaya padi sawah dengan sistem irigasi tergenang merupakan sumber emisi gas metana (CH4) yang menyebabkan peningkatan pemanasan global. Pada umumnya, pengukuran gas metana dilakukan secara tidak kontinu dengan melakukan sampling dan analisis di lab menggunakan gas chromatography yang cukup mahal. Makalah ini menyajikan model jaringan syaraf tiruan (JST) untuk memprediksi gas metana yang diemisikan dari padi sawah berdasarkan data parameter lingkungan biofisik yang mudah diukur seperti kelembaban tanah, suhu tanah, dan daya hantar listrik (DHL) tanah. Untuk melakukan validasi model, percobaan dilakukan di dua tempat berbeda yaitu di Kanagawa dan Bogor. Perlakuan difokuskan pada pemberian air yang berbeda dengan menggunakan prinsip budidaya system of rice intensification (SRI). Model JST yang dikembangkan menggunakan algoritma back propagation dengan layer masukan terdiri atas 3 node: kelembaban tanah, suhu tanah, dan DHL tanah, sedangkan gas metana dijadikan sebagai keluaran. Dari hasil pembelajaran model JST didapatkan korelasi antara gas metana hasil pengukuran dan model cukup tinggi dengan nilai R2 sebesar 0.93.Kata kunci: emisi gas rumah kaca, gas metana, jaringan syaraf tiruan, lingkungan biofisik, padi sawah.

Optimization of EC Values of Nutrient Solution for Tomato Fruits Quality in Hydroponics System Using Artificial Neural Network and Genetic Algorithms Herry Suhardiyanto; Chusnul Arif; Budi I. Setiawan
Journal of Mathematical and Fundamental Sciences Vol. 41 No. 1 (2009)
Publisher : Institute for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.sci.2009.41.1.3

Total soluble solids (TSS) and fruit fresh weight are two indicators to show the quality of tomato fruits. To gain high values of TSS and fruit fresh weight, it is important to consider the concentration of nutrient solution, which is commonly represented by Electrical Conductivity (EC) value. Generally, the increasing of EC value not only increases the number of TSS, but also decreases fruit fresh weight. Therefore, it is important to optimize the EC value for both indicators of quality of tomato fruits. The objective of this research is to optimize the EC value of nutrient solution on each generative stage using Artificial Neural Network (ANN) and Genetic Algorithms (GA). ANN was used to identify the relationship between different EC value treatments with TSS value and fruit fresh weight. GA was applied to determine the optimal EC value in generative growth, which is divided into three stages. Results showed that the optimal EC values in the flowering stage, the fruiting stage and the harvesting stage were 1.4 mS/cm, 10.2 mS/cm and 9.7 mS/cm, respectively.

Pengenalan Metode Tanam SRI (System Rice of Intensification) dengan Teknologi untuk Peningkatan Produktifitas dan Ramah Lingkungan Bayu Dwi Apri Nugroho; Chusnul Arif; Nur Aini Iswati Hasana; Rizki Maftukhah; Fadila Suryandika; Umi Hapsari; Badi’atun Nihayah
Jurnal Pengabdian dan Pengembangan Masyarakat Vol 3, No 2 (2020): NOVEMBER 2020
Publisher : Pengabdian dan Pengembangan Masyarakat Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jp2m.55636

Pengembangan pertanian di lahan iklim kering dengan metode budidaya SRI (System of Rice Intensification) dengan teknologi sederhana dinilai efektif untuk dapat meningkatkan produktifitas lahan. Tujuan dari pengenalan metode tanam SRI dengan penerapan teknologi yaitu memberikan ilmu dan pengetahuan kepada petani terkait metode budidaya pertanian dengan menggunaakan teknologi dalam mengambil keputusan kepada petani dengan harapan dapat meningkatkan produktivitas pertanian serta dapat mengaplikasikan pertanian yang ramah lingungan. Pengabdian ini dilaksanakan di Desa Kambaniru dan Wukukalara, Kec. Kambera, Kab. Sumba Timur, Nusa Tenggara Timur pada bulan Juli 2018-Juli 2019. Indikator keberhasilan dari kegiatan ini (1) Potensi untuk scaling up dan replikasi dari kegiatan ini untuk merubah paradigma (membawa perubahan secara luas). Hal ini terkait dengan resiko budidaya pertanian terhadap perubahan iklim yang terjadi saat ini maupun di masa mendatang (2) Bentuk transfer pengetahuan dan teknologi kepada penerima manfaat (3) Terwujudnya keselarasan dengan kebijakan nasional dan provinsi (4) Tercapainya efektifitas dan efisiensi (kelayakan ekonomi dan kewajaran finansial, serta efektifitas kegiatan). Kegiatan demplot budidaya padi SRI mampu memberi percontohan kepada Kelompok Tani di Desa Kambaniru dan Desa Wukukalara tentang budidaya padi yang ramah lingkungan yang berupa penghematan air dan penurunan gas emisi rumah kaca, serta memiliki produktivitas yang cukup tinggi yaitu sebesar 6.25 ton/ha.

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

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

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.

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

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