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All Journal HAYATI Journal of Biosciences MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI Indonesian Journal of Geography Jurnal Ilmu Lingkungan Jurnal Keteknikan Pertanian Geoplanning : Journal of Geomatics and Planning Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Tataloka Jurnal Penelitian Sosial dan Ekonomi Kehutanan
Yudi Setiawan
Center For Environment Research, Institution Of Research And Community Empowerment, IPB University, Kampus IPB Dramaga Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Social Sciences

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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.
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.
STRATEGI PENGENDALIAN ECENG GONDOK (Eichornia crassipes)DI PERAIRAN WADUK JATILUHUR, JAWA BARAT Ezra Fajar Dewantara; Yanuar Jarwadi Purwanto; Yudi Setiawan
Jurnal Penelitian Sosial dan Ekonomi Kehutanan Vol 18, No 1 (2021): Jurnal Penelitian Sosial dan Ekonomi Kehutanan
Publisher : Pusat Penelitian dan Pengembangan Sosial, Ekonomi, Kebijakan dan Perubahan Iklim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jpsek.2021.18.1.63-74

Abstract

Indonesia has quite extensive multi-purpose reservoir waters, one of which was built for the first time is the Ir. H. Djuanda reservoir or better known as Jatiluhur reservoir. The activities carried out in the Jatiluhur reservoir are varied, such as fisheries, transportation,water sources as well as power generation as secondary functions of the reservoir. If managed properly, the reservoir will give a real contribution to the economy and welfare of the community without disrupting the sustainability of the ecosystems and its functions. In Indonesia, problems that often occur in all aquatic ecosystems are eutrophication (nutrient enrichment), sedimentation, and pollution. Water hyacinth (Eichorniacrassipes) is a type of aquatic plant that is generally considered as a weed. The study aims to formulate a water hyacinth management strategyusing the SWOT method with ten respondents.The selection of respondents using purposive sampling method.The results showed that all stakeholders, government, and communities must work together in utilizing and managing reservoirs and watersheds that enter the reservoir waters so that the quality status of reservoir becomes better and the growth of water hyacinth does not increase rapidly. Water hyacinth can also be used as fertilizer or crafts and not just a weed.
Regression Models for Estimating Aboveground Biomass and Stand Volume Using Landsat-Based Indices in Post-Mining Area Aditya Rizky Priatama; Yudi Setiawan; Irdika Mansur; Muhammad Masyhuri
Jurnal Manajemen Hutan Tropika Vol. 28 No. 1 (2022)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.28.1.1

Abstract

This paper describes the use of remotely sensed data to measure vegetation variables such as basal area, biomass and stand volume. The objective of this research was developed regression models to estimate basal area (BA), aboveground biomass (AGB), and stand volume (SV) using Landsat-based vegetation indices. The examined vegetation indices were SAVI, MSAVI, EVI, NBR, NBR2 and NDMI. Regression models were developed based on least-squared method using several forms of equation, i.e., linear, exponential, power, logarithm and polynomial. Among those models, it was recognized that the best fit of model was obtained from the exponential model, log (y) = ax + b for estimating BA, AGB & SV. The MSAVI had been identified as the most accurate independent variable to estimates basal area with R² of 0.70 and average verification values of 16.39% (4%-32.66%); while the EVI become the best independent variable for estimating aboveground biomass (AGB) with R2 of 0.72 and average of verification values of 18,10% (9%-28.01%); and the NDMI was recognized to be the best independent variable to estimate stand volume with R2 of 0.69 and average of verification values of 24.37% (-15%-38.11%).
Pemetaan Perubahan Lahan Sawah Kabupaten Sukabumi Menggunakan Google Earth Engine Widia Siska; Widiatmaka Widiatmaka; Yudi Setiawan; Setyono Hari Adi
TATALOKA Vol 24, No 1 (2022): Volume 24 No. 1, February 2022
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tataloka.24.1.74-83

Abstract

Google Earth Engine (GEE) merupakan layanan pemrosesan geospasial yang telah banyak digunakan di berbagai bidang pemetaan. Tujuan penelitian ini adalah  identifikasi perubahan lahan sawah Kabupaten Sukabumi menggunakan GEE. Data citra landsat 5 dan landsat 8 yang digunakan di GEE merupakan data citra yang telah di pre-process dan terkoreksi. Klasifikasi penggunaan/tutupan lahan dibedakan menjadi 6 kelas yaitu sawah, badan air, pemukiman, bervegetasi, hutan dan tanah terbuka. Sampel acak penggunaan lahan dibuat sebanyak 394 titik di GEE menggunakan poin dan rectangular. Klasifikasi penggunaan lahan dianilisis menggunakan metode Random Forest (RF). Penilaian akurasi dihitung menggunakan confusion Matrix, sedangkan validasi lapang dilakukan dengan menggunakan metode stratified random sampling.  Uji akurasi analisis tutupan lahan tahun 2020 dengan confusion Matrix menghasilkan nilai Overall Accuracy (OA) 0,94 dan nilai kappa  0,91; tahun 2015 dengan nilai OA 0,93 dan nilai Kappa 0,91; sedangkan tahun 2010 memiliki nilai OA 0.96 dan nilai Kappa 0.94. Hasil analisis ini menunjukkan bahwa luas lahan sawah Kabupaten Sukabumi mengalami penyusutan seluas 10,317.27  ha dalam kurun waktu sepuluh tahun (2010-2020). Klasifikasi penggunaan lahan menggunakan GEE dapat menghasilkan peta dengan akurasi tinggi dengan OA >85%, serta dapat mempersingkat waktu analisis.
Co-Authors A Hadi Syafrudin Aditya Rizky Priatama Aditya Yumansyah AHMAD JUNAEDI Arif Kurnia Wijayanto Arif Kurnia Wijayanto Aswin Rahadian Aswin Rahadian Cecep Kusmana Desi Suyamto Dewi Ariana Didi Darmadi Eikichi Shima Ezra Fajar Dewantara Haris Sofyan Hendriyanto Hefni Effendi Hidayat Pawitan Hidayat Pawitan Irdika Mansur Irlan Khaery, Aqmal Kunihiko Yoshino Kunihiko Yoshino LILIK BUDIPRASETYO Liyantono . M Yanuar J Purwanto Marimin , Maulana Dwi Putra Riyadi May Parlindungan Muflihatul Maghfiroh Islami Muh. Taufik Muhammad Buce Saleh Muhammad Masyhuri Patria Rachman Hakim Prita Ayu Permatasari, Prita Ayu Purwanto, Yanuar Jarwadi Sahid Agustian Hudjimartsu Salis Deris Artikanur Setyono Hari Adi Syartinilia . Taryono Taryono Teddy Rusolono Widia Siska Widiatmaka Wiwin Ambarwulan Wiwin Ambarwulan