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Ketut Wikantika

Centre for Remote Sensing, Bandung Institute of Technology (ITB) and Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB)

Author-ID : 417867

Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics Social Sciences

Published : 44 Documents Claim Missing Document

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Integration of Spectral and Textural Features from Ikonos Image to Classify Vegetation Cover in Mountainous Area Ketut Wikantika
Jurnal Manajemen Hutan Tropika Vol. 12 No. 1 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

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Studi ini mengevaluasi penggunaan fitur spektral dan tekstur secara terintegrasi yang didapat dari citra IKONOS untuk mengindentifikasi tipe-tipe tutupan lahan pertanian di daerahpegunungan. Studi meliputi pra pengolahan citra, pengembangan metode kuantisasi citra, penghitungan nilai tekstur, pembuatan dataset dan penilaian akurasi. Pra pengolahan citra berfokus pada registrasi citra dan normalisasi topografis. Dalam studi ini dikembangkan dua metodekuantisasi citra yaitu segmentasi citra dan filter rata-rata. Segmentasi citra mengklasifikasi citra kedalam beberapa segmentasi berdasarkan determinasi jumlah total piksel setiap kelas, sedangkan filter rata-rata mengelompokkan citra berdasarkan rata-rata nilai angka dijital dalam ukuranwindow tertentu. Empat ukuran tekstur yaitu inverse difference moment, contrast, entropy dan energy dihitung dengan grey level co-occurrence matrix (GLCM). Hasil studi menunjukkankombinasi aspek spektral dan tekstur meningkatkan akurasi klasifikasi secara signifikan dibandingkan klasifikasi hanya menggunakan fitur spektral saja. Segmentasi citra dan filter rata-rata dapat memberikan bentuk-bentuk spasial tipe tutupan lahan pertanian yang lebih efektif dibanding menggunakan citra dengan derajat keabuan 256. Ketelitian keseluruhan meningkat 11,33% ketika menggunakan integrasi spektral dan fitur tekstur inverse difference moment (5x5) danenergy (9x9).

Mapping Vegetation Cover in Mountainous Area with Linear Mixture Modeling of Ikonos Satellite Image: a Case Study in Pangalengan, West Java, Indonesia Ketut Wikantika
Jurnal Manajemen Hutan Tropika Vol. 12 No. 2 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

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Tujuan studi untuk mengidentifikasi tutupan vegetasi di area pegunungan menggunakan pemodelan campuran linier (linear mixture modeling). Studi mengkombinasikan data reflektansispektral yang diukur dari fotometer tipe 2703 dengan citra satelit resolusi spasial sangat tinggi yaitu IKONOS. Ada empat tahapan yang dilakukan dalam menganalisis efek topografis (area pegunungan) dalam pengolahan citra dan masalah campuran piksel dalam mengestimasi fitur sayur mayur termasuk teh. Pertama, citra IKONOS dikoreksi dengan cara menormalisasi nilai kecerahan sehingga efek topografisnya dapat direduksi. Tahap kedua mencakup analisis karakteristikreflektansi spektral yang diperoleh dari survei lapangan dan hubungannya dengan citra satelit. Tahap ketiga mendefinisikan jumlah end-member yang digunakan dalam pemodelan campuran (mixture modeling). Akhirnya, fraksi citra teh dinilai dengan hasil klasifikasi metode tak terbimbing(unsupervised). Hasil studi mengindikasi pemodelan campuran dapat digunakan untuk mengidentifikasi teh dalam piksel campuran dengan lebih baik dibandingkan metode klasifikasitradisional.Kata kunci: pemetaan, tutupan vegetasi, area pegunungan, pemodelan campuran linier, citra IKONOS

A Historical Review of Data and Information of Indonesian Mangroves Area Aswin Rahadian; Lilik Budi Prasetyo; Yudi Setiawan; Ketut Wikantika
Media Konservasi Vol 24 No 2 (2019): Media Konservasi Vol. 24 No. 2 Agustus 2019
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Quantification of the mangrove area in Indonesia was very diverse, which is quantified in the pre and post development of remote sensing technology. This causes uncertainty comprehensive information of mangrove in Indonesia. The planners at national and international level of faced with the problems of uncertainty information that has implications for the quality of data availability. Therefore, it is important to develop a comprehensive of mangrove extent and distribution database. The method used in-depth study literature on various publications related mangrove mapping in Indonesia and comparative analysis. This study aims to identify comprehensive information mangrove forests of Indonesia and analyze the factors which cause diversity of quantification area and reliability of data. We found 42 publications containing data and information on Indonesia's mangrove forests area, with 17 sources including detailed information per province. The study results showed that the difference mangrove quantification area was influenced by several main factors including analysis periode, differences in the concept and mangrove boundaries, basic data and scale, method of mangrove mapping, as well as regional coverage. Keywords: historical data, Indonesia, mangrove area

Remote Sensing Analysis In RUSLE Erosion Estimation Asep Yusup Saptari; Supriadi A; Ketut Wikantika; Darmawan S
Indonesian Journal of Geospatial Vol 4 No 1 (2015)
Publisher : Indonesian Journal of Geospatial

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ABTRACT. Soil erosion is a major issue in various hemispheres. It is because erosion affects the survival of ecosystem. Diverse human actions, e.g., bushes burning and illegal logging, play a role in accelerating erosion. Climate factor such as rain intensity has also an influence in the release of soil particles. Therefore, a regular identification of those factors that affect erosion processes is highly needed in order to keep an environmental sustainable. Different areas in Indonesia have different erosion variable characteristics. One of the characteristics is indicated by the varieties of vegetation cover, where a loose vegetation cover causes soil surfaces open for a long time period. Till now, researches dealing with the modeling of erosions with wide area coverage are few, since erosion observations have always been conducted by direct observations in the field, hence time consuming. Therefore, an erosion mapping model that is applied in a wide coverage area and the up to date of data is needed. Spatially, erosions can be depicted in a form of spatial information system model describing their potential class levels. There are several erosion models that can be used to find out the erosion occurring on a land, among others Universal Soil Loss Equation (USLE) model or its modification Revised Universal Soil Loss Equation (RUSLE). RUSLE erosion model consists of rainfall, soil erodibility, vegetation cover, slope gradient and length, and support practice factors. Recent technology in remote sensing allowed vegetation cover to be analysed from satellite imagery, make the possibility of erosion analysis in large area in shorter time. KEY WORD: Erosion, Vegetation, Models, Remote Sensing, RUSLE

Pembuatan Peta Zonasi Risiko Tsunami Menggunakan Sistem Informasi Geografis di Wilayah Pesisir Pangandaran Muhammad Nurul Fahmi; Ketut Wikantika; Agung Budi Harto
Indonesian Journal of Geospatial Vol 6 No 2 (2017)
Publisher : Indonesian Journal of Geospatial

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Abstrak. Pada tahun 2007 telah terjadi tsunami berskala kecil yang menerjang wilayah pesisir Kabupaten Pangandaran. Meskipun begitu setidaknya tsunami tersebut mengakibatkan 500 korban jiwa. Banyaknya korban jiwa disebabkan kekurangsiapan masyarakat terhadap bencana tsunami. Kekurangsiapan ini dipengaruhi oleh belum meratanya tindakan mitigasi bencana tsunami. Salah satu upaya mitigasi yang diperlukan berupa peta zonasi risiko tsunami. Peta risiko tsunami pada penelitian ini disusun dengan mengacu pada Peraturan Kepala BNPB No. 2 Tahun 2012 tentang Pedoman Umum Pengkajian Risiko Bencana dengan beberapa modifikasi. Berdasarkan peraturan tersebut ditentukan beberapa parameter seperti tingkat ancaman, kerentanan, kapasitas, dan risiko bencana tsunami. Untuk memperoleh peta kerentanan pada penelitian ini dilakukan penghitungan kepadatan penduduk menggunakan metode land use density. Metode ini menggunakan data citra Quickbird sebagai sumber data utama. Selain itu pada penelitian ini juga digunakan data Digital Elevation Model (DEM). Kemudian ditambahkan data jarak dari garis pantai sebagai modifikasi untuk mengetahui zonasi ancaman tsunami. Peta risiko tsunami yang dihasilkan menunjukkan bahwa wilayah pesisir Pangandaran menjadi wilayah yang berisiko terkena tsunami. Untuk menentukan zona kapasitas digunakan data kapasitas bencana tsunami di wilayah penelitian. Dari peta zonasi risiko tsunami diperoleh bahwa Desa Pananjung merupakan desa yang memiliki tingkat risiko paling tinggi yang 81,20% wilayahnya memiliki tingkat risiko tinggi. Sedangkan Desa Cintakarya merupakan desa yang memiliki tingkat risiko paling rendah dengan 96,85% wilayahnya memiliki tingkat risiko rendah.

Analisis Perubahan Topografi Gunung Sinabung dan Gunung Sibayak Menggunakan Citra Satelit ALOS PALSAR Mila Olivia Trianaputri; Asep Saepuloh; Ketut Wikantika
Indonesian Journal of Geospatial Vol 6 No 1 (2017)
Publisher : Indonesian Journal of Geospatial

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Pulau Ring of fire merupakan julukan yang diberikan kepada Indonesia, atas keberadaan deretan gunung api diwilayahnya. Posisi tersebut membuat Indonesia wajib memiliki informasi dan pengetahuan yang luas mengenai hal-hal yang berkaitan dengan gunung api, termasuk mengenai kebencanaan yang mungkin terjadi sebagai akibat dari kondisi wilayah tersebut. Gunung api Sinabung yang terdapat di Kabupaten Karo, Sumatera Utara, merupakan salah satu contoh gunung api di Indonesia yang terus mengalami peningkatan aktivitas vulkanik semenjak tahun 2010. Penelitian ini bertujuan untuk mendapatkan grafik perubahan topografi yang terjadi di puncak Gunung Sinabung dan Sibayak, serta mengetahui waktu mulai terjadinya perubahan topografi yang akan mengindikasikan adanya precursor behavior sebelum letusan terjadi. Teknologi penginderaan jauh membuat keseluruhan proses pengamatan topografi tersebut menjadi lebih cepat dan dapat menghemat biaya survei geologi. Metode yang dilakukan adalah dengan mengekstraksi nilai intensitas hamburan balik yang direkam dalam setiap piksel citra SAR Gunung Sinabung dan Gunung Sibayak, kemudian menghitung nilai normalised radar cross section dari hasil ekstraksi tersebut. Selanjutnya untuk validasi data, dibuat citra rasio yang merupakan perbandingan antara citra sebelum terjadinya letusan dan citra sesudah terjadinya letusan untuk identifikasi arah penyebaran volcanic product Gunung Sinabung. Dengan metode tersebut maka akan dihasilkan informasi mengenai perubahan topografi dan precursor behavior yang ditunjukkan oleh Gunung Sinabung.

The Identification of Fishing Ground Area with MODIS Satellite Image (Case Study: South Coast of West Java) Dudung Muhally Hakim; Ketut Wikantika; Nengah Widiadnyana; Asmi M. Napitu; Soni Darmawan
Journal of Engineering and Technological Sciences Vol. 38 No. 2 (2006)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2006.38.2.5

According to UNCLOS, Indonesian marine territorial covers an area equal to around 2.8 million square kilometers inner archipelagic seas. Though the Indonesian water region is very wide, the resource within it is not yet been exploited optimally. Indonesia still has problems that have to be copped with, including identification of marine fishing ground areas. This report proposes a technology to make the fish-catching be more efficient and effective with the help of MODIS satellite image in term of Surface Temperature and chlorophyll-a computation. Data conversion from digital number to Water Brightness Temperature are performed. The determination of potential fishing ground area were conducted based on temperature and chlorophyll-a parameters which serve as an indicator of upwelling and observations were carried out on parameters which show this phenomenon. Based on the result, during May 2004 the upwelling process were not happened yet, and it seems to occur in June 2004. It showes by the decreasing of water temperature in South Coast of West Java particularly between the border of West Java and Central of Java. This phenomenon acts as an indicator for the raising of primer productivity and will takes about one month after upwelling to the bloom of phytoplankton.

Phylogenetic analysis of 23 accessions of Indonesian banana cultivars based on Internal Transcribed Spacer 2 (ITS2) region Karlia Meitha; Intan Fatmawati; Fenny Martha Dwivany; Agus Sutanto; Sigit Nur Pratama; Husna Nugrahapraja; Ketut Wikantika
Indonesian Journal of Biotechnology Vol 25, No 1 (2020)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.49506

Pisang Kepok (Musa spp. [ABB ’Saba’ subgroup]) has several unique characteristics, such as tolerance to drought and Fusarium Foc (TR4) disease. Currently, the genetic diversity of Pisang Kepok in Indonesia is not well identified, although it is widely cultivated. Information on genetic diversity is essential for developing breeding strategies to achieve efficient cultivar improvement in the future. Aims of this research were to analyze the genetic variation of Pisang Kepok from some islands in Indonesia and to determine the genetic relationship between Pisang Kepok and other accessions banana cultivars based on ITS2 region, as a basis for future research in improving banana quality through molecular breeding. We have conducted the multiple sequence alignment and built the phylogenetic tree analysis using the Bayesian Inference Phylogeny method of one million generations (ngen = 1,000,000). The ITS2 region showed two clade ingroups: first clade consists of banana with B genome (balbisiana), while the second clade consists of banana with only A genome (acuminata). In general, all accessions of Pisang Kepok cultivars were clustered in the B genome of bananas cultivars. In addition, the ITS2 sequences and secondary structures among Pisang Kepok from various regions are identical, suggesting that there was no genetic variation in the ITS2 region of Pisang Kepok from multiple areas in Indonesia.

Polygon-based Landslide Inventory for Bandung Basin Using Google Earth Sukristiyanti Sukristiyanti; Ketut Wikantika; Imam A. Sadisun; Lissa F. Yayusman; Jevon A. Telaumbanua
Indonesian Journal of Geography Vol 53, No 2 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.58014

A landslide inventory representing landslide locations is used as a key factor in landslide susceptibility assessment. This paper explores Google Earth (GE) for generating a polygon-based landslide inventory in Bandung Basin. How far GE can identify landslides and their boundaries, source areas, and types were discussed here. Visual interpretation of GE images supported by path tool in GE, official landslide reports, previous research papers, and media was performed. The result is a polygon-based landslide inventory consisting of 194 landslide areas and 194 landslide source areas during 1993-2020. The limitations of GE in preparing the landslide inventory are (1) not covering the timing of the landslide occurrences, (2) tricky to identify small landslides (<100 m2) in anthropogenically transformed areas, and (3) not able to distinguish between earth and debris of landslide material.

INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY Irland Fardani; Soni Darmawan; Dudung M Hakim; Agung Budi Harto; Ketut Wikantika
Geoplanning: Journal of Geomatics and Planning Vol 3, No 1 (2016)
Publisher : Department of Urban and Regional Planning, Diponegoro University

The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.

Co-Authors Abd. Rasyid Syamsuri Adhi Wibowo Adriana Hiariej, Adriana Agung B. Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agung Budi Harto Agus Handoyo Harsolumakso Agus Handoyo Harsolumakso, Agus Handoyo Agus Sutanto Agus Sutanto Ahmad Luthfi Hadiyanto Akihiko Kondoh Aldyansyah, Muhammad Aminah Kastuari Anesta, Aqilla Fitdhea Anggun Tridawati Aqilla Fitdhea Anesta Armi Susandi Armi Susandi Ary Setijadi Prihatmanto Asep Saepuloh Asep Saepuloh Asep Yusup Saptari Asep Yusup Saptari, Asep Yusup Asmi M. Napitu Asmi M. Napitu Aswin Rahadian Bambang Widarsono Bobby S. Dipokusumo Dandy A. Novresiandi Darmawan S Darmawan S, Darmawan Dedi Irawadi Deni Suwardi Desti Ayunda Dudung M Hakim Dudung Muhally Hakim Dudung Muhally Hakim Fahmi, Muhammad Nurul Farah Nafisa Ariadji Fauziah, Afi Fenny M. Dwivany FENNY MARTHA DWIVANY Ghazali, Mochamad Firman Ghozali, M. Firman Giasintha Stefani Hary Nugroho Herru Lastiadi Setiawan Himasari Hanan Husna Nugrahapraja I Nyoman Dibia I NYOMAN RAI I Wayan Nuarsa Imam A. Sadisun Intan Fatmawati Irland Fardani Ishak H. Ismullah Jaya, La Ode Muhammad Golok Jevon A. Telaumbanua Karlia Meitha Katmoko Ari Sambodo Katmoko Ari Sambodo, Katmoko Ari Laode Muhammad Golok Jaya LILIK BUDIPRASETYO Lissa F. Yayusman Luky Adrianto Lumbantobing, Marlonroi Mamad Sugandi Marlonroi Lumbantobing Mila Olivia Trianaputri Mirelva, Prima Rizky Mochamad Firman Ghazali Mochamad Firman Ghazali Nengah Widiadnyana Nengah Widiadnyana Nisrina Sukriandi Nurjanna Joko Trilaksono Prihanggo, Maundri Prila Ayu Dwi Prastiwi Purnama, Yustika Retno Dammayatri Rian Nurtyawan Riantini Virtriana S. Suliantara Satria Bijaksana Shafarina Wahyu Trisyanti Sigit Nur Pratama Simarmata, nirmawana Soni Darmawan Sony Darmawan, Sony Sugandi, Mamad Sukristiyanti Sukristiyanti Supriadi A Supriadi A, Supriadi Susantoro, Tri Muji Suwardhi, Deni Tahjudil Witra Tan, Alex Tohir, Rizki Kurnia Tombayu A. Hidayat Topik Hidayat Tri Muji Susantoro Tri Muji Susantoro Tri Muji Susantoro Tri Muji Susantoro Tri Muji Susantoro Tri Muji Susantoro, Tri Muji Trianaputri, Mila Olivia Tridawati, Anggun Trika Agnestasia Tarigan Yayusman, Lissa Fajri Yudi Setiawan

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