Article Per Year (5 Year)
p-Index From 2020 - 2025
3.606
P-Index
This Author published in this journals
All Journal Jurnal Media Hukum Journal of Biology Education JMM (Jurnal Masyarakat Mandiri) MEKANIKA - JURNAL TEKNIK MESIN Jurnal Review Pendidikan dan Pengajaran (JRPP) Journal of Intelligent Decision Support System (IDSS) Jurnal JEETech Advance Sustainable Science, Engineering and Technology (ASSET) Asian Journal of Innovative Research in Social Science SENTRI: Jurnal Riset Ilmiah Journal of Artificial Intelligence and Digital Business AL QALAM JURNAL KEPENDIDIKAN ALPHATEACH (JURNAL PROFESI KEPENDIDIKAN DAN KEGURUAN) Jurnal Intelek Dan Cendikiawan Nusantara Journal of Social Work and Science Education Al Jabiri: Jurnal Ilmiah Studi Islam
Fatkhurrohman Fatkhurrohman, Fatkhurrohman
Unknown Affiliation
Religion Aerospace Engineering Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Intelligent Decision Support System (IDSS)

 1 
Identification of vacant land in Tegal Regency using cnn algorithm based on goolge earth imagery Andriani, Wresti; Fatkhurrohman, Fatkhurrohman; Gunawan, Gunawan
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 2 (2024): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i2.243

Abstract

This research developed a Convolutional Neural Network (CNN) algorithm to identify vacant land in Tegal Regency using imagery from Google Earth. By utilizing labeled imagery datasets, CNN models are optimized to recognize texture characteristics, colors, and distribution patterns of vacant land. Preprocessing and image sharing techniques are applied to improve model quality. The results of this study offer a new methodology in visual data processing for accurate and efficient identification of vacant land, providing a solid basis for more sustainable and efficient land use policies. This research contributes significantly to the scientific literature and field practice, particularly in natural resource management and regional planning
Co-Authors Adi Walujo, Djoko Afif, Abdul Chamid ahmad farid Ahmad Rifai Akit, Usman Amrulloh, Akmal Varras Andriani, Wresti Aqidho, Yoga Ayudha Azmi , Fery Maulana Bambang Priyono Bangkit Indarmawan Nugroho Dewantara, Muhammad Celvin Edi Santoso Edi Santoso Elfath, Silma Dianaty Faisal Kamal Fatiatun, Fatiatun Firmansyah, Addie Restu FIRMANULLOH, ANTON Gunawan Gunawan Hasanuddin Hasanuddin Hirwansyah, Hirwansyah Izzah, Anisah Nurul khoerunnisa, Sitta Latifah Krisdayanti, Aprilia Rotul Lina Herlina Lutfiana, Diyah Mazid, Sukron Moh. Nor Ali Aziz Muhammad Rifai Muhammad Saefullah, Muhammad Muhammad Saefulloh Mulyani, Pamungkas Stiya Mulyani Pamungkas Muntadziroh, Tsalitsa Nuurun Musyaroh, Musyaroh Nasokah Nasokah, Nasokah Ngaisah, Ngaisah Noor Fatirul, Achmad Nurul fadillah, Nurul Pratama, Muhammad Zidane Putra, Septian Candra Rahayu, Siska Rahman, Rifqi Aulia Ruviana, Rizqa setiani, wiwit Setyaningsih, Sholehah Sintia, Devi Sjuhad, Miftachus Sukowati Sukowati, Sukowati Susanto, Dani Udin, Faiz Afif Wildasari , Sania Zakly, Abiyyu Zuhriyah, Luthfiyatuz Zunairoh, Zunairoh