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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmu Lingkungan Journal of Tropical Soils Geoplanning : Journal of Geomatics and Planning Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Geografi Jurnal Irigasi Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Andalas J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Agritechno JURNAL SUMBER DAYA AIR Jurnal Tanah dan Iklim Rona Teknik Pertanian

indarto indarto

Universitas Jember

Author-ID : 2647507

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences Other

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APLIKASI CITRA SENTINEL-2 UNTUK PEMETAAN TUTUPAN DAN PERUNTUKAN LAHAN PADA TINGKAT DESA indarto indarto; Marga Mandala; Fery Febrian Arifin; Farid Lukman Hakim
JURNAL GEOGRAFI Vol 12, No 2 (2020): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v12i02.16970

Sentine-2 menjanjikan citra yang gratis, pada ketelitian spasial sedang dan ketelitian spektral tinggi. Data citra ini mungkin dapat digunakan sebagai dasar pemetaan tutupan lahan (land cover) dan pruntukan lahan (land use) sampai dengan level Desa. Artikel ini bertujuan untuk membandingkan dan mengevaluasi peta tematik yang dihasilkan dari: (1) Klasifikasi dari citra Sentinel-2A, (b) digitasi manual dari Google Earth Image, (c) dan peta RBI (Rupa Bumi Indonesia). Citra Sentinel-2A, citra google earth dan peta RBI digital digunakan sebagai input utama. Pengolahan citra Sentinel-2A mencakup: atmosferic correction, image composite, klasifikasi terbimbing, koleksi training area, dan uji-akurasi. Selanjutnya, ke tiga jenis peta tematik yang dihasilkan digunakan untuk membandingkan luasan per jenis tutupan lahan yang dipetakan dan interpretasi perubahan peruntukan lahan yang terjadi. Selanjutnya, wilayah empat desa digunakan sebagai sampel pengukuran. Penelitian menghasilkan peta tematik tutupan dan peruntukan lahan pada level Desa. Perbandingan peta tematik menunjukkan bahwa citra Sentinel mampu untuk menangkap fitur tutupan lahan yang utama (yaitu: Lahan-sub-optimal kering, lahan irigasi, lahan non-irigasi, area terbangun, hutan-perkebunan, dan badan air) pada level desa. Lebih lanjut peta yang dihasilkan dari citra Sentinel dapat digunakan untuk memperbaharui, perencanaan dan evaluasi kegiatan pembangunan di Desa. Kata Kunci: Sentinel-2A, Pemetaan, Tutupan Lahan, peruntukan lahan, desa.Sentinel-2 provide a free of cost imagery in medium spatial and high spectral resolutions. These data promise a rapid, low-cost and easy to apply imagery for the end-user. These free data may produce a rationale thematic land cover and land use (LCLU) map at the village level. This paper aims to compare and to evaluate the thematics maps created by (a) Sentinel-2, (b) digitalisation from Google Earth and (c) RBI (Rupa Bumi Indonesia) Digital Map. Sentinel-2 image, google earth image, and RBI digital map used as the primary input. The treatment of sentinel 2A imagery consists of atmospheric correction, image composite, supervised classification, collecting training areas, and accuracy assessment. The three types of maps use to compare area extent mapped for each type of land cover (LC), and the interpretation of land-use change occurred. Four villages used as samples of measurement. The research produces thematic LCLU maps at the village level. Comparison of maps shows that Sentinel capable of capturing major LC (i.e., Dry-marginal land, non-irrigated area, irrigated area, pavement areas, forest - plantation, and water body) at the village level. Moreover, Sentinel-2A produce more detail of land cover type. Finally, the maps derived from Sentinel data provide data for up-dating, planning and evaluation of village development.Keywords : Sentinel-2A, mapping, land cover, land use, village.

Desain Sistem Manajemen Aset untuk Jaringan Irigasi Tersier Heru Ernanda; Idah Andriyani; Indarto Indarto
Jurnal Irigasi Vol 13, No 1 (2018): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

This research presents the development of information system for irrigation asset management, called Sistem Informasi Management Asset Irigasi-Jaringan Tersier (SIMAI-JT). The SIMAI-JT was designed as a management tool for tertiary irrigation network. The development phase of SIMAI consists of system design, coding, and implementation. The design phase includes structural and functional design. The program was designed and developed using VBA application over the GIS-platform. The input data was the spatial data in the form of points, polylines and polygons that describe the component of the irrigation network. The input data was acquired from the field survey (using camera and GPS) and digital conversion from the existing maps. Furthermore, all the spatial data obtained were converted to GIS layers. Then, the system integrated and display those layers in the form of photo, satellite imagery, and table information. Finally, an irrigation water user association at farmer level or Himpunan Petani Pemakai Air Irigasi (HIPPA) Sido Mulyo which located at Karangsono, District Bangsalsari, at the regency of Jember was selected to test the systems. The design was calibrated based on the capability and needs of HIPPA. The result shows that the information system must be designed with (i) showing maps according to the satellite imagery, identification and potential damage of tertiary irrigation network accompanied by the photo of the structure, (ii) artificial intelligence in determination of damage priority, and lastly (iii) institutional performances. The outcome of this program is being utilized in the meeting for planning institutional strategy in handling of tertiary irrigation network damage(s).

Application of USLE and GIS to predict erosion loss at Brantas Watershed Indarto Indarto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 8, No 2 (2019): Juni
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v8i2.76-85

Erosion processes are still the dominant factor affecting land degradation. The rapid calculation of erosion loss is urgently required for conservation planning and management at the watershed level. This paper is reporting the use of USLE method and GIS at Brantas Watershed. The digital layer data of rainfall from 2005 to 2014, soil types, land use, and DEM (from ASTER GDEM2) were used as the main input. The research procedures consist of (1) data inventory dan preparation, (2) calculation of the erosion factors (R, K, LS, CP), and (3) calculation and classification of the erosion hazard. The erosivity factor (R) is calculated from the analysis of annual rainfall data. The erodibility factor (K) is obtained using analysis of soil type map. The length and slope factor (LS) is calculated from the DEM and Soil layer data. The crop cover and conservation activities (CP) is interpreted from RBI maps year 2014. The results showed that the erosion hazard in Brantas Watershed dominated by very low with predominantly the erosion yield of 0,96 ton/ha/year. Thus required conservation and watershed management activities to prevent an increase erosion hazard in the Brantas Watershed.Keywords: erosion yield, USLE, GIS, Brantas, Watershed

Sensitivity Analysis on Soil and Water Assesment Tool (SWAT) Model at Brantas Watershed, East Java Indonesia Mohamad Wawan Sujarwo; Indarto Indarto; Marga Mandala
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022
Publisher : Universitas Diponegoro

Brantas Watershed and its tributaries (approximately 14,103 km2) are essential in supplying water for About 30% of the East Java province population. Management of water resources in this watershed has become a challenging issue. The modelling processes' conformity and results to mimic the existing hydrological processes are still in question. This study aims to analyze sensitive parameters of the SWAT (Soil & Water Assessment Tool) model on the significant watershed. The input model is climate and spatial (DEM, soil layer, LULC) data. The observes the hydrological processes monthly and annually from the model result. Next, Sensitivity analysis using the SWAT-CUP tool and SUFI algorithm shows 18 sensitive parameters. The nine (9) parameters have a more than 50% sensitivity level. The four (4) correlated to the soil layer's runoff generation and water movement. Then, eight (8) parameters are related to baseflow calculation. Simulation results illustrate the strong effect of climate change (especially rainfall) on water yield and sedimentation.

Pemanfaatan Data Global Precipitation Measurement (GPM) dan Standardized Precipitation Index (SPI) untuk Deteksi Kekeringan Meteorologis di Provinsi Papua Barat Arif faisol; Budiyono Budiyono; Indarto Indarto; Elida Novita
Jurnal Agritechno Jurnal Agritechno, Vol. 13, Number 1, April 2020
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Drought is a natural disaster in Indonesia. The National Disaster Management Agency (BNPB) reports that West Papua Province has a moderate to high threat of drought. This study aims to analyze the level of drought in West Papua Province using Global Precipitation Measurement (GPM) data and the Standardized Precipitation Index (SPI) method. The results showed that throughout 2019 there was no meteorological drought in West Papua, only a few areas in Kaimana were rather dry in the January-March 2019 SPI. In general, the GPM data and the SPI method have quite good accuracy in describing the level of meteorological drought in The Province of West Papua is compared with the analysis of rainfall data and drought level maps released by the Meteorology, Climatology and Geophysics Agency (BMKG), so that the GPM data and SPI method can be used to monitor the level of drought in West Papua Province especially in agricultural areas.

Soil Quality Index Mapping Using GIS and Sentinel-2 Image in Jember, East Java Putri Tunjung Sari; Indarto Indarto; Marga Mandala
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022
Publisher : Universitas Diponegoro

Soil is a solid mineral and organic matter from weathering rocks over the years. The current condition shows many productive lands that are of low quality. Soil quality must be a top priority in land management efforts to support the sustainability of ecology. This study proposes to soil quality index (SQI) assessment of paddy fields in Jember Regency, Indonesia, using the principal component analysis (PCA) method based on spatial data. The research procedure consists of (1) making land units, (2) soil sampling, (3) laboratory analysis, (4) principal component analysis (PCA), (5) assessment of soil quality index (SQI), and (6) Thiessen polygon analysis. The correlation results show the average correlation value < 0.5 (not significant). The soil quality is determined by three main components: total P, silt fraction, and clay fraction. The results of the soil quality analysis showed that 68,888 Ha was in the very low-quality category, and 39,948 Ha was in the low-quality category. Meanwhile, paddy fields included in the medium category are only 3,513 Ha. The addition of organic matter can improve the quality of paddy fields.

Land Cover Changes Based on Landsat Imagery Interpretation Chairiyah Umi Rahayu; Indarto Indarto; Alfian Wiji Pradiksa; Bayu Taruna Wijaya Putra; Rufiani Nadzirah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 1 (2023): March 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i1.1-13

This paper presents the use of satellite data (i.e., Landsat-5 & Landsat-8) to interpret the change of land cover from 1997 to 2020. The study area covers the administrative boundary of Lumajang Regency. The land-cover map of the year 1997 derived from Landsat-5. The Land-cover map of the year 2020 interpreted from Landsat-8. This study uses two methods of image classifications (i.e., unsupervised and supervised). The procedure includes image enhancement, registration, and classification. Then, classification results evaluated by confusion-matrix (overall and kappa accuracy). The supervised classification produces 7 classes of Land cover (i.e., forest, pavement/urban area), paddy field, plantation, rural area, water body and sand mining area. Unsupervised classification produced four 5 class i.e., forest, built-area, paddy field, rural area, and plantation. Supervised classification done the overall and kappa accuracy = 86% and 82%, while unsupervised classification = 73% and 64% for 1997 imagery. Furthermore, for 2020 image, the Supervised classification reaches the overall and kappa accuracy = 93% and 90%, while unsupervised classification done 81% and 72%. The supervised classification method gives a better result than un-supervised. Comparison of 1997 to 2020, it also shows the increase in pavement or build-area, followed by paddy field, rural area, and sand-mining. The change also appears as the decrease in forest and plantation areas.Keywords: Landsat-5, Landsat-8, Unsupervised, Supervised, Lumajang

Empowerment of Sweet Potato Farmer Groups in Pasrujambe Lumajang Village Through Innovation of Flour Processing Technology by the Fermentation Method Lailatul Azkiyah; Nurud Diniyah; Achmad Subagio; Yuli Wibowo; Nur Aini; Indarto Indarto
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 8 No 2 (2023): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v8i2.3726

Poktan Harapan Kita Desa Pasrujambe memproduksi tepung ubi jalar, namun terkendala produksi dengan metode yang ada belum teruji kualitasnya, kurangnya pemahaman terkait hygiene dan sanitasi selama proses serta kurangnya pengetahuan pemasaran (belum memiliki unit pemasaran yang bertugas untuk mempromosikan dan memasarkan tepung). Tujuan pengabdian masyarakat ini adalah (1) meningkatkan pengetahuan dan mengimplementasikan metode fermentasi pengolahan tepung ubi jalar termodifikasi; (2) memberikan tambahan pengetahuan hygiene, sanitasi dan teknik pelabelan guna meningkatkan keamanan produksi tepung ubi jalar terfermentasi; (3) memberikan bekal pengetahuan teknik pemasaran, promosi, dan pengemasan sebagai persiapan pembentukan unit usaha pemasaran pada Poktan bekerjasama dengan tim Universitas Jember. Metode yang digunakan berupa pemberian materi dan praktik pembuatan tepung ubi jalar terfermentasi. Hasil kegiatan pengabdian kepada masyarakat ini yaitu: (1) pengetahuan masyarakat meningkat terkait pengolahan dan mampu mengimplementasikan proses pembuatan tepung ubi jalar termodifikasi; (2) meningkatkan pengetahuan poktan terhadap hygiene, sanitasi dan teknik pelabelan sehingga dalam proses pembuatan tepung ubi jalar terfermentasi dapat meningkat keamanan produksinya; dan juga semakin (3) meningkatnya pengetahuan teknik pemasaran, promosi dan pengemasan guna meningkatkan sistem produksi dan jangkauan pemasaran tepung ubi jalar yang lebih luas.

Analisis Perbandingan Tutupan Lahan (Land Cover) Wilayah Malang Raya Menggunakan Citra Sentinel Rufiani Nadzirah; Indarto Indarto; Dini Retno Widyaningsih; Muhammad Ilwan Tegih Okiawan
Rona Teknik Pertanian Vol 16, No 2 (2023): Volume No. 16, No. 2, Oktober 2023
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v16i2.33675

Abstrak. Wilayah Malang Raya merupakan salah satu wilayah dengan pertumbuhan penduduk yang cepat di Jawa Timur. Selain jumlah pertumbuhan penduduk yang besar, wilayah Malang juga memiliki potensi wisata dan termasuk daerah dengan pusat pendidikan di Jawa Timur. Hal tersebut berpengaruh besar terhadap pertumbuhan pembangunan yang terjadi di wilayah Malang Raya. Saat ini informasi mengenai tutupan lahan mulai banyak dibutuhkan, salah satunya adalah untuk mengetahui ketersediaan lahan terbuka yang dapat digunakan dalam sektor pertanian. Informasi mengenai tutupan lahan dapat memanfaatkan teknologi penginderaan jauh. Tujuan dari penelitian ini adalah untuk mengetahui perbandingan tutupan lahan di Wilayah Malang Raya selama periode 2015 dan 2020 menggunakan Citra Satelit Sentinel dan metode Maximum Likelihood Classification (MLC). Analisis yang telah dilakukan menghasilkan peta tematik tutupan lahan Wilayah Malang Raya tahun 2015 dan 2020. Peta tematik yang dihasilkan pada tahun 2015 memiliki kualitas citra yang kurang baik karena terdapat tutupan awan dan kabut. Pada tahun 2020 menghasilkan kualitas citra yang lebih baik. Hasil klasifikasi yang dilakukan menggunakan metode Maximum Likelihood menunjukkan bahwa pada tahun 2015 nilai Overall sebesar 87.81% dan Kappa 85.79%. Pada tahun 2020 menghasilkan nilai Overall sebesar 91.88% dan Kappa sebesar 90.56%. Perbandingan tutupan lahan periode tahun 2015 dan 2020 menunjukkan hasil peningkatan terbesar terjadi pada kelas tutupan tegalan/ladang. Sedangkan penurunan terbesar terjadi pada kelas tutupan kebun. Comparative Analysis of Land Cover in the Malang Regional Area Using Sentinel ImageryAbstract. The Greater Malang region is experiencing the swiftest population growth in East Java. In addition to substantial population expansion, the Malang area possesses tourism potential and serves as an educational hub in East Java. This growth significantly influeces the region's development. Comprehensive information about land coverage is essential, including determining the availability of open land for agricultural use. Remote sensing technology facilitates obtaining land coverage data. This study compares land coverage in the Malang region during 2015 and 2020, utilizing Sentinel Satellite Imagery and the Maximum Likelihood Classification (MLC) method. The analysis produced thematic maps of land coverage for the Greater Malang Region in 2015 and 2020. The 2015 thematic maps suffered from poor image quality due to cloud cover and fog, which improved in 2020. The Maximum Likelihood classification results indicated an overall accuracy of 87.81% and a Kappa value of 85.79% for 2015, improving to 91.88% and 90.56% in 2020, respectively. A comparison of land cover for the 2015 and 2020 periods shows that the most significant increase occurred in wasteland/heterogeneous agricultural field areas, while the most significant decrease ensued in plantation areas.

Analisis Kecenderungan Hujan Tahunan di Wilayah UPT PSDA Pasuruan: Aplikasi Metode Sperman’s Rho, Distribution Free Cusum dan Student’s T Test Afro Aransa Sahat; Indarto Indarto; Sri Wahyuningsih
Rona Teknik Pertanian Vol 11, No 2 (2018): Volume 11, No. 2, Oktober 2018
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v11i2.11785

Abstrak. Artikel ini memaparkan hasil analisis kecenderungan hujan tahunan di wilayah UPT PSDA di Pasuruan. Data hujan harian dari 69 lokasi digunakan untuk analisis. Periode rekaman data dari tahun 1980 sampai dengan tahun 2015. Analisis statistik dan visualisasi histogram dilakukan untuk menggambarkan variabilitas spasial dan temporal hujan per sub-wilayah. Selanjutnya, analisis kecenderungan menggunakan tiga metode yaitu : spearman’s Rho, distribution free CUSUM, dan student’s t test dilakukan terhadap data hujan tahunan. Visualisasi nilai per stasiun digunakan untuk menggambarkan variabilitas kecenderungan hujan tahunan pada wilayah tersebut. Hasil penelitian menunjukkan adanya perbedaan antar stasiun. Sebagian lokasi menunjukkan kecenderungan positif atau negatif yang menggambarkan adanya kecenderungan jumlah hujan tahunan yang meningkat atau menurun selama dua dekade terakhir. Sebagian besar stasiun tidak menunjukkan adanya kecenderungan positif atau negatif. Penelitian juga menghasilkan peta lokasi kecenderungan positif dan negatif. Application of Spearman’s rho, Distribution Free CUSUM, and Student’s t Test for Rainfall Trend Detection: study at the administrative area of UPT PSDA Pasuruan Abstract. This paper describes the results of rainfall trend analysis in UPT PSDA in Pasuruan. Daily rainfall data from 69 rain stations was used for analysis. The data recording period starts from 1980 to 2015. Statistical analysis and histogram visualization were performed to illustrate the spatial and temporal variability of annual rainfall data between sub-districts. Furthermore, trend analysis used three methods: Spearman's Rho, distribution-free CUSUM, and student's were performed on annual rainfall data. Visualization of stationary trend values is used to describe the variability of annual rainfall trends in the region. The results showed that there were differences between stations. A small proportion of the locations show a positive or negative trend that represents a trend of increased or decreasing annual rainfall over the past two decades. Most stations do not show any positive or negative tendencies. The research also produced a map of the location of the train station showing a positive and negative tendency.

Co-Authors Ach Fauzan Mas'udi Ach Fauzan Mas'udi Achmad Subagio Afro Aransa Sahat Alfian Wiji Pradiksa Arif Faisol Askin Askin Askin Askin Azkiyah, Lailatul Bayu Taruna Wijaya Putra Budiyono Budiyono Chairiyah Umi Rahayu Dilla Restu Jayanti Dimas Ahmad Naufal Dimas Ghufron Ash-Shiddiq Dini Retno Widyaningsih Eka Intan Kumala Putri Elida Novita Fahmi Arif Kurnianto Farid Lukman Hakim Fery Febrian Arifin Heru Ernanda Idah Andriyani Mandala, Marga Mohamad Wawan Sujarwo Mohamad Wawan Sujarwo Muhammad Dian Nurul Hidayat Muhammad Ilwan Tegih Okiawan Nur Aini Nur Defitri Herlinda Nurud Diniyah Putri Tunjung Sari Rufiani Nadzirah Wahyuningsih, Sri Yuli Wibowo

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