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All Journal Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Geo-Image Journal Edu Geography JESS (Journal of Educational Social Studies) Jurnal Abdi Masyarakat Indonesia
Tjaturahono Budi Sanjoto
Jurusan Geografi, FIS Unnes
Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

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Journal : Geo-Image Journal

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SEBARAN SPASIAL LAJU INFILTRASI SEBAGAI UPAYA MENGURANGI DEGRADASI LINGKUNGAN DI DAS BERINGIN Nawawi, Muhammad; Sanjoto, Tjaturahono Budi
Geo-Image Vol 3 No 1 (2014)
Publisher : Geo-Image

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Abstract

Alih  guna lahan  hutan  menjadi  lahan  pertanian  akan  mempengaruhi  kuantitas  dan kualitas pada tata air pada DAS yang akan lebih dirasakan oleh masyarakat di daerah hilir. Pada keadaan normal, aliran air tanah langsung masuk ke sungai yang terdekat (Asdak, 1995). Sebagai suatu  kesatuan tata air DAS dipengaruhi  kondisi bagian hulu khususnya kondisi biofisik daerah tangkapan  dan  daerah  resapan  air  yang  di  banyak  tempat  rawan  terhadap  ancaman  gangguan manusia.  Tujuan dari penelitian ini adalah: (1) mengetahui kondisi laju infiltrasi di DAS Beringin (2) mengetahui faktor yang berpengaruh terhadap laju infiltrasi di DAS Beringin. (3) menganalisis sebaran  spasial  infiltrasi  sebagai  upaya  mengurangi  degradasi  lingkungan  di  DAS  Beringin. Variabel  penelitian  ini  diantaranya  data topografi,  curah  hujan,  jenis  tanah,  dan  penggunaan lahan. Pengambilan data dilakukan dengan metode dokumen, observasi lapangan dan pengukuran sampel.  Teknik  analisis  yang  digunakan  adalah  tumpang  susun  (overlay),  dan  membandingkan hasil  analisis  spasial  dengan  uji  sampel  lapangan  (komparasi).  Hasil  penelitian  menunjukkan faktor - faktor  yang  mempengaruhi  tingkat  infiltrasi  meliputi:  tingkat  kemiringan  lereng,  curah hujan,  jenis  tanah  dan  tipe  penggunaan  lahan,  dimana  penggunaan  lahan  merupakan  faktor terbesar yang mempengaruhi tingkat infiltrasi di DAS Beringin, dari data penelitian menunjukkan masih ada 43,2% penggunaan hutan. Dari keseluruhan luas DAS Beringin 3.035 hektar. Sebaran spasial tingkat infiltrasi yang diperoleh melalui analisis Sistem Informasi Geografis dan uji sampel yaitu: tingkat infiltrasi kategori lambat 610 ha, agak lambat 446 ha, sedang 145 ha, agak cepat 334 ha, dan cepat 1.499 ha Use change of forest land into agriculture will affect the quantity and quality of the water in thewatershed layout that will be felt by the people in downstream areas. In normal conditions, groundwater flowdirectly into the nearest river (Asdak, 1995). As a whole watershed hydrology particularly influenced by the condition of the upstream catchment biophysical conditions and area of water diffusion in many places prone to the threat of human interference.Purpose of this research is: ( 1) knowing fast condition infiltrate in Beringin drainage basin. ( 2) knowing factor having an effect on to accelerateing to infiltrate in Beringin drainage basin.(3)  analysing  swampy  forest  of  spasial  infiltrate  as  effort  lessen  environmental  degradation in  Beringin drainage  basin.  This  Research  variable  such  as:  topography  data,  rainfall,  ground  type,  and  land  usage. Intake  of  data  conducted  with  documentation  method,  field  observation  and  measuring  sample.  Analysis technique the used is joining with others to compile ( overlay), and compare result of analysis of spasial with test  of  sampel  field  (  komparasi).  Result  of  research  show  factors  influencing  level  infiltrate  such  as:  level inclination of bevel, rainfall, ground type and type land usage, where is usage of farm represent biggest factor which influence level infiltrate in Beringin drainage basin, from research data show there [is] still 43,2% usage of forest. From wide of entirety Basin Beringin 3.035 hectare. Spasial spread level infiltrate which is obtained through  Geographical  Information  systems  analysis  and  sample  experiment  that  is:  level  infiltrate  tardy category 610 ha, rather tardy 446 ha, in a rage is 145 ha, rather quickly 334 ha, and quickly 1.499 ha.
KAJIAN INTRUSI AIR LAUT DI KAWASAN PESISIR KECAMATAN REMBANG KABUPATEN REMBANG Nurrohim, Ahmad; Sanjoto, Tjaturahono Budi; Setyaningsih, Wahyu
Geo-Image Vol 1 No 1 (2012)
Publisher : Geo-Image

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ANALISIS KERAPATAN VEGETASIMENGGUNAKAN TEKNIK PENGINDERAAN JAUH SEBAGAI BASIS EVALUASI KERUSAKAN HUTAN DI TAMAN NASIONAL GUNUNG GEDE PANGRANGO Iskandar, Mukhlis; Sanjoto, Tjaturahono Budi; Sutardji, Sutardji
Geo-Image Vol 1 No 1 (2012)
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APLIKASI PENGINDERAAN JAUH UNTUK ANALISIS PERUBAHAN PENGGUNAAN LAHAN TAHUN 2002-2011 DI DAERAH ALIRAN SUNGAI JUANA Susantl, Novi Ike; Sanjoto, Tjaturahono Budi; Tjahjono, Heri
Geo-Image Vol 1 No 1 (2012)
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Penduduk akan mengalami pertumbuhan setiap tahunnya, pertumbuhan tersebut akan mempengaruhi beberapa hal, antara lain kebutuhan yang harus tercukupi setiap harinya. Seperti pangan, sandang, dan juga kebutuhan akan lahan untuk tempat tinggal, tapi karena ketersediaan akan lahan terbatas menyebabkan terjadinya alih fungsi lahan atau perubahan penggunaan lahan. Penelitian ini menggunakan citra Landsat 7 tahun 2002 dan 2011. Populasi dalam penelitian ini seluruh DAS Juana, sampel 8 jenis penggunaan lahan yang bersumber dari BAPPEDA Kabupaten Pati. Untuk batas DAS Juana menggunakan data dari BPDAS PEMALI JRATUN. Hasil klasifikasi terbimbing didapatkan 8 jenis penggunaan lahan pada tahun 2002 dan pada tahun 2011 bertambah 1 penggunaan lahan menjadi 9 yaitu hutan, hutan produksi, tegalan, permukiman, sawah, tambak, kebun, tubuh air dan mangrove. Hasil uji keakuratan citra dihasilkan 88% dimana dari 100 titik sampel ditemukan 12 lokasi yang tidak sesuai. Sedangkan tinggkat kesesuaian antara penggunaan lahan dengan kawasan budidaya RTRW Kabupaten Pati tahun 2008, kawasan budidaya tambak yang hampir sesuai dengan jumlah presentase 81,36%, sedangkan pada hutan produksi, permukiman, tegalan, dan sawah memiliki tingkat kesesuaian <50%. Terakhir supaya diadakan monitoring secara intensif dalam pengelolaan DAS Juana dan RTRW Kabupaten Pati agar sesuai dengan apa yang sudah direncanakan.Population will grow each year, growth will affect several things, among others, need to be fulfilled every day. Such as food, clothing, and also the need for land for housing, but because of limited land availability will lead to land conversion or change of land use. This study used Landsat 7 in 2002 and 2011. The population around the watershed Juana, sample 8 types of land use are sourced from BAPPEDA Pati. For Juana watershed using data from BPDAS Pemali JRATUN. Supervised classification results obtained 8 types of land use in 2002 and in 2011 added up to 1 to 9 land use is forest, production forest, moor, settlements, fields, ponds, gardens, water bodies and mangroves. The accuracy of the test results generated imagery which 88% of the 100 sample points found 12 sites that do not fit. While tinggkat compatibility between land uses by Pati RTRW cultivated area in 2008, the aquaculture area that most closely matches the number of percentage of 81.36%, while in production forests, settlements, moor, and the field has a compliance rate of <50%. That was held last intensive monitoring in watershed management and spatial planning Pati Juana to match what is already planned.
ESTIMASI PRODUKTIVITAS PADI MENGGUNAKAN TEKNIKPENGINDERAAN JAUH DALAM MENDUKUNG PROGRAM SWASEMBADA PANGAN Suharini, Erni; Nafi, Ahmad Yazidun; Sanjoto, Tjaturahono Budi
Geo-Image Vol 5 No 2 (2016)
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Pati Regency is one of the largest rice-producing areas nationwide. However, data on the productivity of rice plants have been inadequate. So it appears the problem, 1) how the productivity of rice and how to estimate productivity of rice in support of food self-sufficiency program in Pati District? Population rice area Pati regency with Sample 85 points based on the interpretation of NDVI. The sampling method is simple random sampling. The first variable is productivity of paddy and the second variable is rice productivity estimates. The research instrument used questionnaire. Data analysis using the digital image interpretation technique and quantitative descriptive. Comparing the results mean produtivitas rice by BPS with the results of the study (2014) 5.43 with 5.5 tons / ha, the difference of 0.07 tons / ha. Among the data DISPERTANAK with the results of the study (2015) 109480 with 106,188.62 ha / year. There is a difference of 3.00%. So that remote sensing methods utilizing NDVI value in rice plants can be used to estimate the harvest area.
PENGARUH ALIH GUNA LAHAN SAWAH KE NON SAWAH TERHADAP PERUBAHAN MATAPENCAHARIAN DAN ASET KELUARGADI KECAMATAN BAWEN Pitricia, Natalia; Hardati, Puji; Sanjoto, Tjaturahono Budi
Geo-Image Vol 5 No 2 (2016)
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The purpose of this study to determine the rate of agricultural land use (fields) to non-agriculture (paddy), the factors that influence the transfer of land use and the effects of changes in livelihoods and assets of farm households. The technique of collecting data through observation, questionnaires, interviews and documentation. Data analysis techniques in this study was the rate of transfer order, regression and descriptive percentage. The analysis showed that the rate of transfer to Bawen highest in the district occurred in 2007, which amounted to 24.65% and decreased again by 10.99% in 2010. The rate of transfer to the village Samban that is equal to 7.90%, while use change rate in Sub Harjosari ie 9.83%. This is due to a large industrial development in the region. Factors that affect the transfer of land use is agricultural land, land prices, the influence of neighbors, and the influence of the private sector / investors. Change the livelihoods of farmers before mostly in the agricultural sector, but after the transfer to the livelihoods of farmers in the non-agricultural sector, changes in livelihood assets also increased by an additional assets such as vehicles, electronic goods and other owned by utilizing quotient of profit they receive.
KAJIAN KERAPATAN VEGETASI HUTAN LINDUNG GUNUNG UNGARAN JAWA TENGAH TAHUN 2016 MENGGUNAKAN METODE INDEKS VEGETASI Lintang, Nuansa Chandra; Sanjoto, Tjaturahono Budi; Tjahjono, Heri
Geo-Image Vol 6 No 1 (2017)
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The research aims are to know the vegetation density level using vegetation index method of NDVI, SAVI, ARVI, DVI and RVI and to know the highest accuracy of vegetation index methods to determine the vegetation density in protected forest Mount Ungaran. The sampling method use purposive random sampling, with 82 sampel points. This research uses descrpitive research method. The first variable is vegetation density and the second ones is distribution and area produced by vegetation index transformations. The result of this research shows that the distribution and the area of classification results for each vegetation index transformation are different. There was little differenceof wide in the transformation of NDVI and SAVI is an area of 900 m2, equevalent to one pixel on the Landsat-8 imagery. Meanwhile classification generated by the transformation of ARVI, a lot of generating area is included dense classification, and the classification generated by the transformation of DVI and RVI is more a lot included rare classification. The confusion matrix shows NDVI transformation has the best accuracy with an overall accuracy percentage of 75,61%.
MODEL PENYAJIAN UNIT GEOMORFOLOGI GUNUNG UNGARAN DAN SEKITARNYA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS BERBASIS WEB Kusuma, Muhammad Brilliant Cahya; Aji, Ananto; Sanjoto, Tjaturahono Budi
Geo-Image Vol 8 No 2 (2019): Geo-Image
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v8i2.33602

Abstract

The research is aimed to 1) know geomorphological unit in physiographic of ??Mount Ungaran and its surroundings; 2) designing a model of geomorphological unit of Mount Ungaran and its surroundings by using web-GIS. Geomorphology unit obtained through morphological and morphogenesis aspects. The analysis technique used is holistic description analysis with ideographic method. This research result in the distribution of geomorphology unit of Mount Ungaran and its surroundings namely consist of (a) Volcanic Cone of Mount Ungaran, (b) Volcanic Neck of Mount Ungaran, (c) Volcanic Foot of Mount Ungaran, (d) Volcanic Plains of Mount Ungaran, (e) Volcanic Plains of Mount Sindoro (H) anticlinal mountains, (h) anticlinal hills, (i) sinklinal valley, (j) residual form, (k) denudation volcano hill, (l) Denudation Old Ungaran Hill. (M) plateau, (n) scraped hill, (o) alluvial terraces, and (p) alluvial coastalal plain. This geomorphological units is compiled using HTML, CSS, dan QGIS with utilize qgis2web as a leaflet in order to be displayed using geographic information system based on web.
PEMODELAN BANJIR DI SUB DAERAH ALIRAN SUNGAI BANJIR KANAL TIMUR KOTA SEMARANG Aprianto, Widhi Kurniawan; Sanjoto, Tjaturahono Budi; Tjahjono, Heri
Geo-Image Vol 8 No 2 (2019): Geo-Image
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v8i2.33608

Abstract

The increased frequency of floods that occurred in the East Flood Canal should be done prediction to reduce losses.With that case this study aims 1) To knowing the result of flood modelsin the East Flood Canal Sub Watersheed on 2, 5, 10, 25, 50, 100 and 200 years periodically. 2) Identify flood-prone areasbased on modelsin the East Flood Canal Sub Watersheed in Semarang City.The research used quantitative research methods, with the population is area in East Flood Canal Sub Watersheed. The analysis technique which was used unsteady-flow and HSS-SCS. In this study showed that main river of East Flood Canal Sub Watersheed has overflowed on 2 years up to 200 years periodically with a peak discharge volime 202,32 m3/sec in a 2 year periodically and 283,15 m3/sec in a 200 year periodically. Unsteady flow simulation showed that overflowed East Flood Canal occured in 8 Villages along the main river. The largest flood-prone area on Terboyo Kulon Village with 112 Ha distribution and followed by Tanjung Mas Village 107 Ha, due to tidal.
PREDIKSI PERKEMBANGAN LAHAN TERBANGUN KOTA PEKALONGAN DENGAN MODEL CELLULAR AUTOMATA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS Rizkyanto, Irfan; Sanjoto, Tjaturahono Budi; Arifien, Moch
Geo-Image Vol 9 No 1 (2020): Geo-Image
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v9i1.38636

Abstract

Penelitian ini bertujuan untuk mengetahui Cellular Automata dalam memprediksi lahan terbangun dan membuat prediksi perkembangan fisik lahan terbangun yang ada di Kota Pekalongan. Teknik pengumpulan data dalam penelitian ini adalah dengan menggunakan dokumentasi, observasi. Teknik analisis yang digunakan dalam penelitian ini adalah Cellular Automata dan teknik analisis deskripstif. Prediksi lahan terbangun menggunakan perangkat lunak OpenSource Quantum GIS. Penelitian ini bertujuan untuk 1) Mengetahui perubahan lahan terbangun di Kota Pekalongan tahun 2001, tahun 2011 dan tahun 2019. 2) Membuat prediksi perkembangan fisik wilayah Lahan terbangun Kota Pekalongan tahun 2031. Analisis lainnya adalah ANN (Artificial Neural Network). Validasi peta proyeksi dilakukan dengan crosstab peta proyeksi terhadap peta penggunaan lahan terbangun eksiting tahun 2019. Hasil dari crosstab adalah tabel tabulasi silang dan nilai kappa. Hasil yang didapatkan dalam penelitian ini adalah perubahan lahan terbangun mengalami penambahan luasan yaitu lahan terbangun dengan luas area 2565,46 Ha (55,9%) Validasi peta proyeksi berdasarkan peta penggunaan lahan 2019 menunjukkan kesesuaian yang baik dengan nilai Kappa 0,90712. Nilai ini menunjukkan bahwa prediksi penggunaan lahan terbangun tahun 2019 sangat baik terhadap penggunaan lahan terbangun tahun 2019 hasil interpretasi / eksiting.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Zurohman, Achmad Ahmad Yazidun Nafi, Ahmad Yazidun Ananto Aji, Ananto Anik Rahmawati, Anik Aprianto, Widhi Kurniawan Arifien, Moch Ariyani Indrayati Cahyo Budi Utomo Dewi Liesnoor Setyowati Dwi Jatmiko, Dwi Eko Adi Saputro Erni Suharini Etty Soesilowati Eva Banowati Hairumini, Hairumini Handayani, Windari Kurnia Heri Tjahjono Irnawati, Isnaini Rahmatia Irnawati, Isnaini Rahmatia Juhadi Juhadi Karamina, Sharfina Kusuma, Muhammad Brilliant Cahya Lailiiyah, Nur Luh Putu Ratna Sundari Mahati, Retno Salaras Moch. Arifien, Moch. Muhammad Nawawi Mukhlis Iskandar, Mukhlis Natalia Pitricia, Natalia Nora Idiawati Novi Ike Susantl, Novi Ike Nuansa Chandra Lintang, Nuansa Chandra Nur Faidah, Rini Tri Anjani Nur Puji Lestari, Nur Puji P, Putri Inmas P, Putri Inmas Pradika Adi Wijayanto Pramawidya, Leksahawa Pramawidya, Leksahawa Puji Hardati Putri, Nurrahim Adhadina Eka Putri, Nurrahim Adhadina Eka Ratna Dwi Setyowati, Ratna Dwi Rizkyanto, Irfan Saptono Putro Sari, Ruhaniah Atma Sari, Ruhaniah Atma Satya Budi Nugraha Satyanta Parman Sektyambodo, Bagus Mulia Sinta Selvi Windrianingsih, Sinta Selvi Siska, Sunia Elanda Sriyanto Sriyanto Sriyono Sriyono Sunarko Sunarko Suroso Suroso Sutardji Sutardji Suwito Eko Pramono Thriwaty Arsal Tri Marhaeni Pudji Astuti Wahid Akhsin Budi Nur Sidiq, Wahid Akhsin Budi Nur Wahyu Setyaningsih Wawan Setiawan Werdhiningsih, Chlorella Wulansari, Ainun Hinggis Nur