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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Journal of Marine Research AGRIEKONOMIKA Jurnal Kelautan : Indonesian Journal of Marine Science and Technology AGRIKAN Jurnal Ilmiah Agribisnis dan Perikanan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini BULLETIN OF THE MARINE GEOLOGY Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan DoubleClick : Journal of Computer and Information Technology JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Segara EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Techno-Fish Societas Dei: Jurnal Agama dan Masyarakat Kontribusia : Research Dissemination for Community Development PENA AKUATIKA : JURNAL ILMIAH PERIKANAN DAN KELAUTAN Jurnal Ilmiah Abdi Mas TPB Unram Fisheries : Jurnal Perikanan dan Ilmu Kelautan International Journal of Engineering, Science and Information Technology DedikasiMU: Journal of Community Service Journal of Marine-Earth Science and Technology Jurnal Pengabdian Multidisiplin Wisanggeni : Jurnal Pengabdian Masyarakat Jurnal Miyang : Ronggolawe Fisheries and Marine Science Journal Agrikan: Jurnal Agribisnis Perikanan Curtina Manfish Journal Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat dan Riset Pendidikan Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Pendidikan Indonesia (JPPI) Journal of Fisheries & Marine Journal of Educational Science and E-Learning Journal of Education and Pedagogy
Marita Ika Joesidawati
Universitas PGRI Ronggolawe
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Journal : DoubleClick : Journal of Computer and Information Technology

 1 
Land Cover Classification Assessment Using Decision Trees and Maximum Likelihood Classification Algorithms on Landsat 8 Data Luhur Moekti Prayogo; Bimo Aji Widyantoro; Amir Yarkhasy Yuliardi; Muhammad Hanif; Perdana Ixbal Spanton; Marita Ika Joesidawati
DoubleClick: Journal of Computer and Information Technology Vol 6, No 2 (2023): Perkembangan Teknologi Informasi
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/doubleclick.v6i2.10606

Abstract

Classification technique on remote sensing images is an effort taken to identify the class of each pixel based on the spectral characteristics of various channels. Traditional classifications such as Maximum Likelihood are based on statistical parameters such as standard deviation and mean, which have a probability model of each pixel in each class. While the object-based classification method, one of which is the Decision Trees, is based on rules for each class with mathematical functions. This study compares the Decision Trees and Maximum Likelihood algorithms for land cover classification in the Surabaya and Bangkalan areas using Landsat 8 data. This research begins with creating Regions of Interest (ROIs) and Rules on images with greater than and less than functions for Decision Trees. The ROIs test was carried out using the Separability Index and matching each class using the Confusion Matrix. The experimental results show that the accuracy value resulting from the Confusion Matrix calculation is 90.48%, with a Kappa Coefficient Value of 0.87. The Decision Trees method produces land cover nigher to the actual condition than the Maximum Likelihood method. The difference in the class distribution of the two ways is not significant. This study is limited because the validation uses manual interpretation results. Future research is expected to use the large-scale classification results from the relevant agencies to verify the classification results and use field data, larger samples of ROIs, and the use of high-resolution imagery in order to improve the classification results.
Co-Authors Aat Ruchiat Nugraha Abdul Wahid Nuruddin Abdullah, Amiruddin Agung Adi Prasetia Agung Adi Prasetia Ahmad Zain Sarnoto Ambariyanto , Amir Yarkhasy Yuliardi Anci, Anci Andik Adi Suryanto Anggraini, Susanti Dhini Anisah , Afro’ Apay Safari Ardelia Humaimah Denatri Ardiansyah, Wisnu Ardiyanto Maksimilianus Gai Ari Wijayanti Arif Tribina Arifin, Ahmad Zaenal Aunurohim Aunurohim Bimo Aji Widyantoro Dewi Fortuna Nurama Dewi Hidayati Djunarlin Tojang Edwin Setiawan Eka Maya Kurniasih, Eka Maya Erna Wulandari Fadiana, Mu’jizatin Fatchiatuzahro Fauziah F Fitrah Adelina Fransisca Jallie Pattiruhu Gentio Harsono Handayani, Fitrianti Henny Dwijayani Hiola, Siti Fatimah Ilham Antariksa Tasabaramo Kholilah, Nenik Kurniawati Kurniawati La Mpia Luhur Moekti Prayogo Mahardika, Agus Maisaroh, Dian Sari Marandi Eko Wibowo Marandi Eko Wibowo Maretik, Maretik Mega Nurhana Muhammad Hanif Nenik Kholilah Ni Kadek Dita Cahyani Ni Kadek Dita Cahyani, Ni Kadek Dita Nining Nursalim Nova Maulidina Ashuri Nur Syahroni Nursalim, Nining Nuruddin, Abdul Wahid Nurul Islamiyah P., Lutfi Anjar Yogi P. Puji Sri Handayani Raka Nur Sukma Rian Aldi Riska Andriani Risti Kamila Wening Estu Ruswanto Saiful Bahri Saleh, Ramlah Santosa, Tomi Apra Saparuddin Saparuddin Sari, Windy Dian Septy Heltria Spanton, Perdana Ixbal Sriwulan Sriwulan Sriwulan, Sriwulan Sukini, Sukini Suryono, Wiwid Susanti Dhini Anggraini Suwarsih Suwarsih S Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwartiningsih Syehrina Aldiana Wahyudi, Muhammad Henry Yahya Abdillah Al Hanif Yeyes Mulyadi Zaimah, Nely Rahmawati Zaimah, Nely Rahmawati Zaimah