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Uji Akurasi Klasifikasi Terbimbing Berbasis Piksel Pada Citra Sentinel 2-A Menggunakan Citra Tegak Resolusi Tinggi Tahun 2019 di Kota Padang Dedy Fitriawan
Jurnal Azimut Vol 3 No 01 (2020): Volume 3 No. 01
Publisher : Universitas Tamansiswa Padang

Currently, land cover data sourced from satellite imagery are increasingly being used with advances in sensing technology that are increasingly sophisticated. Maximum likelihood is one of the digital image classification methods that have long been used for pixel-based image classification. This study aims to classify land cover on Sentinel-2A satellite imagery using the maximum likelihood method to see the level of accuracy in that method. The accuracy test is carried out by comparing the results of the classification of the land cover map on the Sentinel-2A image with the sample in the High Resolution Upright Image with the acquisition date which is said to be Worldview and Geoeye imagery in 2019. From the classification results obtained an overall value of 90.81% with the type of land cover highest level of accuracy is wetlands and built-up areas. Meanwhile, the type of cover with the lowest accuracy or the most errors occurred in mixed garden types.

ANALISIS PROYEKSI PENDUDUK DAN ALOKASI KEBUTUHAN LAHAN PERMUKIMAN DI KOTA PADANG 2020-2030 Rahma Dinda; Heny Mariati; Dedy Fitriawan
Jurnal Azimut Vol 4 No 1 (2022): Volume 4, No.1
Publisher : Universitas Tamansiswa Padang

Penelitian dilakukan di Kota Padang Ibukota Provinsi Sumatera Barat merupakan wilayah dengan pertumbuhan penduduk pesat dibandingkan kabupaten/kota lainnya. Sehingga diperlukan kajian proyeksi dan kebutuhan lahan permukiman serta alokasi kebutuhan lahan permukiman di Kota Padang. Tujuan penelitian ini, pertama untuk mengetahui proyeksi penduduk di Kota Padang, kedua untuk mengetahui kebutuhan lahan permukiman di Kota Padang dan ketiga untuk mengetahui alokasi kebutuhan lahan permukiman di Kota Padang dengan RTRW Kota Padang tahun 2030. Metode penelitian merupakan metode deskriptif kuantitaif, proyeksi penduduk tahun 2030 menggunankan metode geometrik. Hasil proyeksi penduduk digunakan untuk menghitung kebutuhan lahan tahun 2030 dengan menentukan rata-rata kebutuhan lahan per jiwa tahun 2020. Dan alokasi kebutuhan lahan permukiman dianalisis menggunakan Land Change Modeller (LCM). Hasil penelitian ini menunjukan proyeksi penduduk di Kota Padang tahun 2030 yaitu 988.757 jiwa. Hasil proyeksi penduduk maka kebutuhan lahan permukiman tahun 2030 yaitu 68696 ha. Alokasi kebutuhan lahan permukiman di Kota Padang berdasarkan hasil analisis Land Change Modeller (LCM) yaitu di Kecamatan Koto Tangah, Kuranji Nanggalo, Pauh dan Lubuk Kilangan. Hasil analisis alokasi lahan permukiman sesuai dengan Rencana Pola Ruang RTRW Kota Padang yaitu diprediksi ke arah utara Kota Padang. Terdapat beberapa perbedaan penggunaan kawasan menurut hasil penelitian dan Pola Ruang RTRW Kota Padang.

DAYA DUKUNG LAHAN PERKOTAAN BERBASIS SISTEM INFORMASI GEOGRAFIS DI KOTA PADANG Rengga Permana Putra; Osronita Osronita; Dedy Fitriawan
Jurnal Azimut Vol 4 No 1 (2022): Volume 4, No.1
Publisher : Universitas Tamansiswa Padang

Kota Padang memiliki tingkat kepadatan penduduk tinggi, dengan jumlah penduduk 973.152 jiwa pada tahun 2020 dan tingkat Kepadatan 1.400 Jiwa/Km2. Tidak semua kawasan dapat diperuntukan untuk permukiman. Beberapa wilayah yang memiliki kepekaan lingkungan tinggi terhadap perubahan atau peralihan fungsi lahan. Penelitian ini difokuskan terhadap daya dukung lahan perkotaan yang berbasis kepekaan terhadap lingkungan. Faktor yang menjadi penentu adalah, ketinggian, kelerangan, jarak dari area permukiman, jarak dari jalan utama, kepadatan penduduk, kawasan lindung, cagar budaya serta kawasan resiko bencana. Metode digunakan adalah GWR yang dapat mencari hubungan antar variabel serta pembobotan untuk sumbangan variabel dalam mempengaruhi tutupan lahan. Perbandingan Fhitung dan Ftabel dari pengujian regresi membuktikan bahwasanya untuk daya dukung lahan model GWR lebih baik dari model regresi biasa. Dari hasil overlay setiap variabel didapatkan hasil area tidak sensitif seluas 6%, Sensitif Ringan 19%, Cukup Sensitif 22%, dan Sangat Sensitif 54% dari total keseluruhan luas Kota Padang 692 Km2.

Pemanfaatan Teknologi Foto Udara Penginderaan Jauh Unmanned Aerial Vehicle (UAV) Untuk Pengumpulan Data Geospasial Di Area A Warisan Dunia Tambang Batubara Ombilin Sawahlunto (WTBOS) Dedy Fitriawan; Hary Tri Senov; Rengga Permana
Jurnal Azimut Vol 3 No 01 (2020): Volume 3 No. 01
Publisher : Universitas Tamansiswa Padang

Teknologi penginderaan jauh saat ini berkembang sangat pesat seiring dengan perkembangan teknologi dibidang komputer, fisika, robotik dan artificial intelligence (AI). Teknologi tersebut kian berperan aktif dalam penggunannya untuk memperoleh informasi secara cepat dan efisien yang salah satunya terhadap penggunaan Unmanned Aerial Vehicle (UAV). Teknologi UAV ini merupakan sebuah pilihan terbaik dalam pengumpulan data geospasial secara cepat dengan harga terjangkau. Beberapa daerah atau kawasan di Indonesia memiliki keterbatasan akses terhadap citra satelit resolusi tinggi sehingga mempengaruhi terhadap keterlambatan memiliki data geospasial yang terupdate dengan informasi kewilayahan yang semakin lengkap. Seperti misalnya situs cagar budaya suatu kawasan bersejarah. Teknik pengumpulan data secara primer yang dilakukan secara pemotretan udara sebaran cagar budaya dengan mosaic foto untuk memperoleh kenampakan obyek secara keseluruhan. Hasil yang diperoleh berupa peta Orthophoto dari hasil pemrosesan yang memiliki informasi geospasial yang update serta dapat digunakan sebagai acuan perencanaan kebudayaan, pariwisata maupun pendidikan. Pada penerapan kali ini di Area A Warisan Dunia Tambang Batubara Ombilin Sawahlunto (WTBOS), diperoleh resolusi spasial sebesar 14 Cm dengan ketelitian geometri kelas 1 standar pemetaan dasar BIG sebesar 0,22 m pada kepercayaan 90% dan total RMSEr sebsar 0,33 m. Hasil ini diperoleh dari 61 titik yang terdiri dari GCP dan ICP dengan rata-rata tingkat ketelitian 10 mm (0.01 m).

ARAHAN KAWASAN PENGEMBANGAN PENGGUNAAN LAHAN UNTUK PERMUKIMAN DI KABUPATEN PADANG PARIAMAN PROVINSI SUMATERA BARAT Roberto Roberto; Novelisa Suryani; Dedy Fitriawan
Jurnal Azimut Vol 4 No 1 (2022): Volume 4, No.1
Publisher : Universitas Tamansiswa Padang

Penelitian ini bertujuan untuk (1) mengetahui luas perubahan penggunaan lahan permukiman (2009-2020); (2) mengidentifikasi kesesuaian lahan permukiman dan (3) menentukan arahan kawasan pengembangan penggunaan lahan permukiman. Metode pengolahan data untuk mengetahui luasan perubahan penggunaan lahan yaitu maximum likelihood classification dengan aplikasi ENVI 5.1 dan Terrset untuk mengetahui perubahan penggunaan lahan melalui citra landsat 2009 dan 2020. Kesesuaian lahan permukiman diperoleh melalui overlay parameter kesesuaian lahan untuk permukiman yaitu kemiringan lereng, intensitas curah hujan, jenis tanah, kerawanan bencana banjir dan bencana longsor. Sedangkan untuk mengetahui arahan kawasan pengembangan penggunaan lahan permukiman melalui overlay peta kesesuaian lahan permukiman dengan peta kawasan hutan. Berdasarkan hasil penelitian dapat disimpulkan total perubahan penggunaan lahan tahun 2009 â€“ 2020 yaitu 1.982 ha (meningkat 0,57%). Hasil kesesuaian lahan permukiman yaitu lahan yang sesuai 36.607 ha ( 27%), lahan kurang sesuai 59.176 ha (44%) dan lahan tidak sesuai 38.421 ha (29%). Total lahan yang dapat dikembangkan untuk kawasan pengembangan penggunaan lahan untuk permukiman seluas 36.263 ha, lahan yang kurang dapat dikembangkan seluas 55.033 Ha dan lahan yang tidak dapat dikembangkan seluas 42.777 Ha. Pengembangan penggunaan lahan permukiman di Kabupaten Padang Pariaman dapat diarahkan pada lima kecamatan yaitu Enam Lingkung, VII Koto, Nan Sabaris, Sintuak Toboh Gadang dan Lubuk Alung.

UTILIZATION OF REMOTE SENSING DATA IN IDENTIFYING COASTLINE CHANGES WITH THE BILKO ALGORITHM METHOD IN 2014, 2018, AND 2022 Basri, Zafini; Arif, Dian Adhetya; Putri, Sri Kandi; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.46

The beach is a form of geology composed of sand located in coastal areas and the position of the coastline is dynamic. Identification of shoreline changes is important information that can be obtained from Remote Sensing Data and Geographic Information Systems (GIS) which has advantages and speed in the results of the process. This research was carried out in the Pasir Baru Beach area, Nagari Pilubang, Sungai Limau District using Landsat 8 OLI Satellite Images in 2014, 2018, and 2022 with the aim of determining changes in coastlines in the 2014-2018 and 2018-2022 ranges and knowing the extent of coastline changes in the 2014-2018 and 2018-2022 ranges. The method used to extract the coastline is obtained from the extraction results from the Landsat 8 OLI Satellite Image using the BILKO algorithm method, for the calculation of distance and rate of change of coastlines using a digital coastline analysis system (DSAS) with two statistical methods, namely Net Shoreline Movement (NSM) and End Point Rate (EPR) and for calculating the area of coastline change using the Calculate Geometry menu using attribute information in the software ArcGIS 10.5 in square meters (m2). Based on the results of the study that the coastal process that occurred in the research area from 2014-2022 was an erosion or abrasion event. The amount of erosion increased from 2018 to 2022 with an average erosion rate of 2.11 m / year, while the average abrasion distance was 7.49 m / year which was characterized by the formation of abrasion gawir and the fall of new trunk trees around the beach due to soil erosion. Meanwhile, the average rate for sedimentation or accretion events in 2018-2022 is 0.04 m/year while the average distance of change due to accretion events is 0.15 m/year. With a total area of erosion or abrasion events in 2018-2022 of 48,220.4 m, with an average annual area change of 12,055 m. Meanwhile, the total area of sedimentation or accretion events in 2018-2022 amounted to 449.3 m with an average annual area change of 112.3 m.

IDENTIFICATION OF LAND USE CHANGES USING THE OBJECT BASED IMAGE ANALYSIS (OBIA) METHOD IN BUNGUS TELUK KABUNG DISTRICT Wahyuni, Sri Agustia; Fitriawan, Dedy; Triyatno, Triyatno; Arif, Dian Adhetya
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.48

Object-based image analysis (OBIA) is an image classification that considers not only the spectral aspects of objects, but also their spatial aspects. This classification is guided by objects that have distribution patterns from object samples which are used as references for their accuracy. However, this object-based classification process must be taken into account when looking at color and calculating it so that there is no error in classification. In this research, the OBIA method was used to identify changes in land use in the Bungus Teluk Kabung District in 2012, 2017 and 2022. By using the OBIA method, identification results were obtained in areas where land use changes occurred between 2012 and 2017, which were identified as having changed from open land to built-up land. with an area of 355.84ha, plantations 22.62ha and rice fields 20.97ha. From 2017 to 2022, it was identified that there was a change in land use from dry land forests to 6.30ha of built-up land. The change in open land to built-up land was 7.47ha. Plantations experienced changes to 6.21ha of built-up land and 9.27ha of rice fields. Meanwhile, bushes/shrubs experienced changes in plantations of 2.47ha.

LAND COVER CLASSIFICATION WITH OBIA METHOD (OBJECT BASED IMAGE ANALYSIS) IN PADANGWEST DISTRICT, PADANG CITY Salsabila, Rania; Putri, Sri Kandi; Syahar, Fitriana; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.50

High population growth has an impact on the development of a region. Therefore, the need for the latest information regarding land cover obtained through data processing using remote sensing techniques. This land cover monitoring utilizes object-based SPOT 7 satellite imagery data (OBIA) in West Padang District, Padang City. This research was conducted with the aim of knowing the level of accuracy of the OBIA method in land cover classification on SPOT 7 Imagery. The OBIA method consists of two stages, namely segmentation and classification with the Train Maximum Likelihood Classifier algorithm. In this study, there were 10 land cover classifications and resulted in an overall accuracy of 95% and a kappa accuracy of 94%.

THE USE OF SENTINEL-2A IMAGERY FOR MAPPING THE CONVERSION OF AGRICULTURAL LAND INTO DEVELOPED LAND USING THE OBIA METHOD IN BATANG ANAI DISTRICT 2017 AND 2022 syahadani, meilani; Syarief, Azhari; Ramadhan, Risky; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol 5 No 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.57

Indonesia is a developing country with a population growth rate of 1.38%. Due to the relatively strong population growth every year, this greatly affects land change. Therefore, the phenomenon of land use change emerged. In general, the rate of population growth correlates with the rate of land use change, which results in increased satisfaction of land-use needs such as settlements and public facilities. This study aims to determine the Change in Land Cover resulting from the Change of Agricultural Land Function into developed land and where the direction of changing agricultural land to developed land in Batang Anai District. This study uses a quantitative approach by utilizing Remote Sensing using Object-Based Classification (OBIA). Based on the interpretation results on Sentinel-2A images in 2017 and 2022, 8 land cover classes were found with an Overall Accuracy of 91% and a Kappa Index of 89.80%. Agricultural land in Batang Anai District has undergone land conversion into built-up land of 304.2 Ha or 8.70% of the agricultural land area in Batang Anai District with a total of 3499.16 Ha so that the remaining agricultural land area in 2022 is 3194.96 Ha. As a result of the land use change, there was a development of built-up land which was converted into housing development, public facilities and the Padang-Pekanbaru toll road leading from South to North.

MAPPING OF LAND USE CHANGES AND ALIGNMENT OF SPATIAL PATTERN PLANS IN PADANG CITY Delta, Yusran Rizky Ananda; Ismail, Muhammad; Syahar, Fitriana; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol 5 No 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.64

Changes in land use in accordance with spatial pattern plans are a challenge for the government as the population in an area increases, resulting in increased land requirements. This greatly influences the spatial pattern plans that have been planned previously. These land use changes can be obtained from Remote Sensing data which has the advantage and ease of obtaining land use information. This research uses Sentinel-2A satellite image data for 2017 and 2023. The objectives of this research are (1) To determine the ability of Sentinel-2A imagery to interpret land use (2) To determine changes in land use in 2017 and 2023 (3) To find out the alignment of land use identification with the Padang City spatial pattern plan. The method used in this research is a quantitative method with an approach spatial (spatial approach). The method used for land use classification is the manual digitization method (on screen) and land use area calculation using the Geometry Calculator tool in ArcGIS 10.6.1 software. The research results show the ability of Sentinel-2A imagery to produce 15 land uses, namely highland forest, residential/mixed buildings, rivers, cultivated open land, rice fields, dry land seasonal crops, bushes and thickets, mining, runways, ports, buildings industry and trade, grass, mangrove forests, savannas and stretches of coastal sand. In a period of 5 years there were 13 land uses that experienced changes, namely highland forests, residential/mixed buildings, open cultivated land, bushes and shrubs, mining, industrial/commerce buildings, dry land seasonal crops, rice fields, mangrove forests, stretches of beach sand and grass. The harmony between the land use of Padang City and the Padang City Spatial Pattern Plan is dominated by harmony, but there are also those which are not in harmony, namely highland forests, residential/mixed buildings, rice fields, dry land annual crops and mining.

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