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Penggunaan Tank Model Untuk Mempelajari Tindakan Konservasi Air dan Hubungannya Dengan Debit Sungai di Sub Das Ciliwung Hulu-Ciliwung Haris Sofyan Hendriyanto; Moh. Yanuar Jarwadi Purwanto; Yudi Setiawan
Jurnal Keteknikan Pertanian Vol. 7 No. 1 (2019): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1247.986 KB) | DOI: 10.19028/jtep.07.1.1-8

Abstract

Abstract The damage of upstream watershed area caused by development and changes in land use. If it left unchecked can lead to unsustain of river discharge. As with sub watershed Ciliwung Hulu are in the critical category because it has maximum minimum ratio of discharge as a coefficient of river regime (CRR) reach to 132.72. This study adopt Tank model to estimateriver discharge daily. The validation using rainfall,R2 evapotranspiration and discharge data in 2014 showed R2 values is 0.822 and validation results showed value is 0.833. Simulation of the tank model shown CRR value sub watersheds Ciliwung Hulu as 135.72. Some conservation scenarios applied to the model parameter got the CRR of 87.77. Conservation was done by the addition of 10% of settlement area as green open space to the forest and as recharging wells in settlement area. This CRR value is lower than 120 indicate discharge fluctuation of watershed is properly.AbstrakKerusakan wilayah DAS Hulu diakibatkan oleh adanya pembangunan di sekitar wilayah DAS dan terjadinya perubahan fungsi lahan. Jika tidak terkendali dapat mengakibatkan regim sungai melebihi batas kritis DAS. Seperti halnya Sub DAS Ciliwung Hulu yang merupakan wilayah penelitian ini, berada pada kategori buruk karena memiliki koefisien regim sungai (KRS) sebesar 132.72. Oleh karena itu, diperlukan upaya konservasi untuk meminimalisir kerusakan hidrologi di wilayah ini. Sebagai upaya memperbaiki DAS tersebut, digunakan Tank Model, untuk menggambarkan mencari parameter hidrologi yang dapat diintervensi pada modelnya. Hasil kalibrasi Tank Model menggunakan data tahun 2009 diperoleh nilai R2 sebesar 0.822 dan hasil validasi menunjukkan nilai R2 sebesar 0.833. Hasil simulasi tank model menunjukkan nilai KRS Sub DAS Ciliwung Hulu sebesar 135.72. SImulasi model dengan scenario tindakan konservasi air yang dilakukan berupa penambahan areal hutan sebesar 10% dari wilayah pemukiman dan pembuatan sumur resapan di wilayah pemukiman menunjukkan adanya penurunan nilia KRS hingga menjadi 87.77. Nilai ini menunjukkan bahwa kondisi hidrologi wilayah penelitian berada pada kategori sedang (<120).
PEMANFAATAN FUSI DATA SATELIT LAPAN-A3/IPB DAN LANDSAT 8 UNTUK MONITORING LAHAN SAWAH Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Liyantono Liyantono; Syartinilia Syartinilia; Arif Kurnia Wijayanto; Prita Ayu Permatasari; A Hadi Syafrudin; Patria Rachman Hakim
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 1 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.1.67-76

Abstract

Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data.
IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Prita Ayu Permatasari; Desi Suyamto; Arif Kurnia Wijayanto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 3 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.3.420-427

Abstract

Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots data, even at relatively high temporal resolution of less than one-day revisit period, such as time series of fire hotspots collected from TERRA and AQUA MODIS, do not tell exactly if they are fire ignitions or fire escapes, since other factors like wind, slope, and fuel biomass significantly drive the fire spread. Meanwhile, a number of biophysical fire simulation models have been developed, as tools to understand the roles of biophysical factors on the spread of wildfires.  Those models explicitly incorporate effects of slope, wind direction, wind speed, and vegetative fuel on the spreading rate of surface fire from the ignition points across a fuel bed, based on either field or laboratory experiments.  Nevertheless, none of those models have been implemented using real time fire data at relatively large extent areas. This study is aimed at incorporating spatially explicit time series data of weather (i.e. wind direction and wind speed), remotely sensed fuel biomass and remotely sensed fire hotspots, as well as incorporating more persistent biophysical factors (i.e. terrain), into an agent-based fire spread model, in order to identify fire ignitions within time series of remotely sensed fire hotspots.
Strategi Konservasi Daerah Tangkapan Air Bendung Ciliman Banten Aditya Yumansyah; M Yanuar J Purwanto; Yudi Setiawan
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 1 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.1.152-164

Abstract

The catchment area (DTA) of the Ciliman Dam in Banten is a source of water for the Ciliman Dam, so it needs to be conserved so that the reliability of Dam can be guaranteed. Changes in land use due to population growth in catchments have led to a decrease in forest area and increased land criticality. The forest area in the catchment is only 2.84% of the catchment area. The objectives of this study are (1) To identify the ecological, social and economic conditions of the Ciliman Dam catchment area; (2) Knowing the status of sustainability in the Ciliman Dam catchment area; (3) Develop sustainable Ciliman Dam catchment area with conservation strategies. The methods used include descriptive analysis, image interpretation, multi dimensional scaling (MDS) analysis, and SWOT analysis. The results of the analysis sustainability of the Ciliman Banten Dam catchment area showed quite sustainable results with a value of 52.52%, with a stress value of 12.98% and an R2 of 95.45%. Based on the results of leverage analysis that shows the value of the attributes that are most sensitive to the sustainability of the catchment area there are 7 attributes of the lever, among others in the ecological dimension there are 3 attributes namely land use, percentage of critical land, and forest area. On the economic dimension there are 2 attributes, namely the number of cooperatives and the farmer exchange rate (NTP), while on the social dimension there are 2 attributes, namely the unemployment rate and the level of education services. The SWOT analysis results for the internal factor analysis summary (IFAS) is 0.74 and the external factor analysis summary (EFAS) is 0.29. Based on the results above, the strategies that need to be implemented are maintain the population growth rate to increase the rate of economic growth in the Ciliman Dam catchment, increasing public knowledge about the importance of sustainable catchments, and utilizing vegetation cover that is still high enough to increase value forest economy for the community.
Pengaruh Pola Pemanfaatan Ruang Terbuka Hijau terhadap Dinamika Perubahan Kualitas Udara Akibat Pandemi Covid-19 Siti Badriyah Rushayati; Rachmad Hermawan; Yudi Setiawan; Arif Kurnia Wijayanto; Lilik Budi Prasetyo; Prita Ayu Permatasari
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 10 No. 4 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.4.559-567

Abstract

The Covid-19 pandemic has had a global impact on all sectors including the environment. The spread of Covid-19 is very much influenced by human activity and mobility. Human activities are also closely related to air pollutant emissions. High concentrations of air pollutants during the Covid19 pandemic will increase the risk of being exposed to Covid-19. Jakarta and its surrounding area (known locally as Jabodetabek) have high population density. These cities are economic and industrial centers. Air pollutant emissions in these cities are very high. High concentrations of air pollutants during the Covid-19 pandemic will increase the risk of being exposed to Covid. To anticipate this problem, the government made a Large-Scale Social Restriction Policy (PSBB). Limited human activities, in addition to having an impact on reducing the risk of humans being exposed to Covid-19 from the droplets released by tested-positive of Covid-19, also have an impact on reducing emissions of air pollutants so that they can reduce the risk of being exposed to Covid-19. Several variables that influence vulnerability and risk to exposure to Covid-19 are the distribution of settlements, roads, economic centers (markets, business centers, industrial centers), and human mobility. In this study, we will also analyze the role of green open space on the risk of exposure to Covid-19. Green open space plays an important role in reducing air pollutants so that it will also affect the risk of being exposed to Covid-19. This study aimed to 1) examine the distribution of air pollutants based on the vulnerability and risk of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek), and 2) examine the results of the overlay between land cover and vulnerability and risk to Covid-19.
Pemodelan spasial perubahan penggunaan lahan skala regional di Pulau Jawa berbasis karakteristik biofisik Yudi Setiawan; Kunihiko Yoshino
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 10 No 3 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.3.511-523

Abstract

Kajian ini mendiskusikan pemodelan spasial biofisik untuk perubahan penggunaan lahan di Pulau Jawa dengan mempertimbangkan interaksi kedekatan antar tipe penggunaan lahan dan perubahannya. Selanjutnya, karakteristik kedekatan ini digunakan dalam model regresi logistic untuk menduga probabilitas perubahan yang akan terjadi. Dalam kajian ini, perubahan penggunaan lahan diproyeksikan dengan model Markov berbasis informasi perubahan penggunaan lahan yang terjadi tahunan. Hasil analisis mengindikasikan bahwa lahan sawah irigasi teknis (dua kali tanam), terutama area lahan kering, memiliki autokorelasi positif nyata terhadap lokasi perubahan. Lahan terbangun, lahan sawah dan pertanian lahan kering memiliki pengaruh yang besar terhadap probabilitas terjadinya perubahan. Sementara itu, lahan terbuka, semak belukar dan kebun campuran memberikan korelasi negative terhadap perubahan di lahan pertanian. Hasil analisis di lahan hutan menunjukkan bahwa pertanian lahan kering dan perkebunan memiliki kontribusi positif terhadap perubahan penggunaan lahan. Akurasi model yang dihasilkan telah diuji dengan membandingkan hasil proyeksi dengan area perubahan aktual.
Spectral Pattern of Paddy as Response to Drought Condition: An Experimental Study Arif Kurnia Wijayanto; Lilik Budi Prasetyo; Yudi Setiawan; Didi Darmadi; Ahmad Junaedi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 1 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.1.83-92

Abstract

Every single physical object has a different response to the electromagnetic wave emitted to it. The response is in the form of how it absorbs and reflects the energy in every range of wavelength. The absorption and reflection curve is known as a spectral pattern. The spectral pattern of each object can be used to determine the object. In agriculture, the spectral pattern of plants can be used to determine the health condition of the plant. Drought is one factor that can affect the health of the plant. By identifying the spectral pattern of the plants, the effect of drought on paddy can be identified. This experimental study tried to identify the spectral pattern of some varieties of paddy and different growth stages. A spectrophotometer with a wavelength range of 350-1052 nm was used. Four varieties of paddy were planted in a greenhouse and being treated in drought conditions from the stage of vegetative, generative, and reproductive. Based on the result, the spectral response from the generative phase of all varieties gave the most different pattern compared to the control. This result compromising the rapid detection of paddy fields affected by drought using optical remote sensing data. Especially for plants in the stage of generative.
Balance of sugarcane plantation land needs in Lamongan Regency in 2031 based on land-use changes using SPOT imagery Salis Deris Artikanur; Widiatmaka Widiatmaka; Yudi Setiawan; Marimin Marimin
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 3 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.3.397-407

Abstract

Volume impor gula Indonesia pada tahun 2019 mencapai 4,09 juta ton. Tingginya volume impor tersebut dipengaruhi oleh semakin berkurangnya luas lahan perkebunan tebu. Kabupaten Lamongan merupakan salah satu kabupaten penghasil tebu dan gula di Jawa Timur. Produksi tebu dan gula di Kabupaten Lamongan mengalami dinamika yang cukup beragam dan dipengaruhi oleh perubahan kondisi penggunaan lahan. Penelitian ini bertujuan untuk menganalisis keseimbangan kebutuhan lahan untuk perkebunan tebu di Kabupaten Lamongan tahun 2031 berdasarkan analisis perubahan penggunaan lahan menggunakan citra SPOT tahun 2007, 2013, dan 2019. Penelitian dilakukan dengan menganalisis perubahan penggunaan lahan, proyeksi jumlah penduduk, dan analisis neraca kebutuhan lahan untuk perkebunan tebu. Hasil analisis menunjukkan bahwa jumlah penduduk Kabupaten Lamongan pada tahun 2031 diproyeksikan mencapai 1.419.843 jiwa dengan kebutuhan lahan untuk perkebunan tebu seluas 2.362,29 ha. Akan terjadi surplus lahan seluas 1.276,92 ha tetapi masih terkonsentrasi di 7 dari 27 kecamatan. Perkebunan tebu di Kabupaten Lamongan berpotensi untuk dikembangkan mengingat alokasi lahan untuk perkebunan dalam Rencana Tata Ruang Wilayah Kabupaten Lamongan tahun 2011-2031 mencapai 10.022,42 ha.
Analysis of Erosion Management Based on GeoWEPP Spatial Modeling on Bauxite Mining Activities PT. XYZ in West Borneo Rika Setiabudi Santoso; Sri Mulatsih; Yudi Setiawan
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 12 No. 1 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.12.1.82-96

Abstract

Bauxite ore open-pit mining activities are conducted in spread areas and increase the potential for water pollution, implying a need for good management. GeoWEPP is a spatial model that predicts the erosion magnitude and the location of sedimentation. This helps in erosion management and control, including constructing a settling pond. Therefore, the purpose of this study was to examine GeoWEPP based on land use, topographic and soil maps, as well as rainfall and temperature data. The results showed that 30 hills with a total area of 13 602.48 Ha obtained sediment of 150 186 m3/month and the amount of run off of 4 202 267 m3/month. Furthermore, GeoWEPP analysis on the planned mining block area obtained 30 outlet points to be used as the location for the settling pond construction. The optimistic and pessimistic cost of constructing the entire settling pond is Rp. 222 047 640 944 and Rp. 222 773 049 768, respectively. Additionally, the cost of settling pond maintenance at all outlet points during operation is Rp. 3 139 414 818. Planting cover crops in ex-mining areas is very effective in reducing erosion.
Mapping mangrove forest distribution on Banten, Jakarta, and West Java Ecotone Zone from Sentinel-2-derived indices using cloud computing based Random Forest Rahmat Asy'Ari; Azelia Dwi Rahmawati; Naifa Sa'diyya; Ardya Hwardaya Gustawan; Yudi Setiawan; Neviaty P. Zamani; Rahmat Pramulya
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 12 No. 1 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.12.1.97-111

Abstract

Mangrove ecosystem is a very potential area, generally located in ecoton areas (a combination of intertidal and supratidal areas), where there is interaction between waters (sea, brackish water, and rivers) with land areas. Indonesia, especially the Banten and West Java regions, have vast mangrove areas and are currently under threat of land conversion. Moreover, mapping the distribution of mangrove forests using the Google Earth Engine platform based on Cloud Computing is less published. Therefore, this research was conducted by introducing the distribution of mangrove forests which involved the Random Forest (RF) classification algorithm method, and looking for the best modification of the index. The combination test was carried out by involving the NDVI, EVI, ARVI, SLAVI, IRECI, RVI, DVI, SAVI, IBI, GNDVI, NDWI, MNDWI, and LSWI indexes. There is a distribution of mangroves in three provinces (West Java, Banten, and Jakarta) which are 933.54 ha (8.372%), 1,537.89 ha (18.231%), and 8,184.82 ha (73.397%). Of the 70 combination tests, the LSWI index (K13, Type-A) is the combination with the lowest accuracy rate of 58.45% (Overal Accuracy) and 39.59 (Kappa statistic), and the combination of K23 (SAVI-MNDWI-IBI) is a combination the best are 96.48% and 92.79. The results and recommendations in this study are expected to be used as a reference in determining policies for the protection of mangrove areas and a reference for further research