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All Journal BIOMA JMM (Jurnal Masyarakat Mandiri) Sains Natural: Journal of Biology and Chemistry Jurnal Pembelajaran dan Biologi Nukleus JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Indonesia Berdaya Jurnal Pengabdian kepada Masyarakat Nusantara International Journal Of Science, Technology & Management (IJSTM) Community Empowerment Bulletin of Computer Science Research Jurnal Pengabdian Masyarakat Bestari (JPMB) Jurnal Pengabdian Masyarakat Waradin International Journal of Science and Environment Innovative: Journal Of Social Science Research Bioma : Jurnal Biologi dan Pembelajaran Biologi CONSERVA : Jurnal Konservasi Sumber Daya Alam dan Lingkungan
Dalimunthe, Nurzaidah Putri
Konservasi Sumber Daya Alam, Universitas Muhammadiyah Bangka Belitung
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Journal : Bulletin of Computer Science Research

 1 
Implementasi Teknik Computer Vision Untuk Deteksi Viridiplantae Pada Lahan Pasca Tambang Yudistira Bagus Pratama; Nurzaidah Putri Dalimunthe
Bulletin of Computer Science Research Vol. 3 No. 1 (2022): Desember 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i1.193

Abstract

The use of computers as producers of technology-based products is hugely impressive. Computer vision technology, which is a branch of artificial intelligence, is developing very quickly. This is what underlies the need for this research to be done to detect the number of green plants (Viridiplantae) that are located on critical post-mining land, where it is known that the area is land that has been damaged with the condition of the soil being shallow and a layer of remaining tailings until a layer of rock is visible that can inhibit plant growth. Thus developed an application for detecting green plants using computer vision as modern ways to improve the recognition of objects in images. Computer vision applications are implemented on desktop applications created with the Python aiming to balance modern technology with the concept of preserving the environment. The development method used Cross Industry Standard Process for Data Mining which is the most representative method for planning overall data extraction, the design of the experiment and evaluation. The results of the research proved that only a few green plants were detected on post-mining land, so it is necessary to increase public awareness that environmental preservation and maintenance is very important.
Co-Authors Adi Adibrata, Sudirman Agung Setiawan Al Farizi, Muhammad Alamsyah, Candra Amala Nurjanah Andesta Granitio Irwan Apriyani, Ririn Apriyanti Apriyanti Arif, Maulana ashidiq, abdul rahman Bayu, Hendi Hendra Bina Aulia Zafana Budi Afriyansyah Danu Ardiansyah Dewi, Wulan Dipa, Fahri Eka Muzalfitri Ridwan Entang Iskandar Erida Kanalia Erwin Januardi Fatmawati, Fatmawati Feni Kurnia Feni Kurnia, Feni Fika Wulandari Fitri Apriani Fitri Yanti Fitria Anggraini Fitriana, Fifin Fitriya Fitriya Gilfandes, Defa Gita Tamara Granitio Irwan, Andesta Habib Fadhilah Hady Sukadi Alikodra Hakim, Zikril Handayani, Helvina Hendi Hendra Bayu Hendra Bayu, Hendi Henri Henri Heri Heri, Heri Ilpandari Ilpandari Ilvina Arfiza Julfiani, Julfiani Juliansyah, Andika Juliansyah, Ari Lingga, Rahmad Lubis, Habib Twindy Maessy Pradella Marinah Marinah Mega Sukma Muhtadin Nabil Nabil, Nabil Nia Nopita Sari Nuraini Priyansah, Sujadi Rahmad Lingga Ramadhani Randi Syafutra Ratno Purnama Sari Refi Arzeti Ridho Alfaridzi Riko Irwanto Safitri Safitri Saputra, Baruna Saputri, Nelsa Sembiring, Juhardi Sevira Violita Siti Fatimah Sri Suci Utami Atmoko Tendri Tengku Islamilzza Najib Vika Martahayu Wahyudi, Panca Wibawa, Ahmad Juliyanta Widya Ningsih Yuandita Sepgianti Yudistira Bagus Pratama Yurdayanti, Yurdayanti Zacky, Muhammad Ichsan Zikri Aprillah Pratama Zikri Wahyuzi