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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis ILMU KELAUTAN: Indonesian Journal of Marine Sciences Journal of Oceanography Syntax Literate: Jurnal Ilmiah Indonesia NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal Kelautan Nasional Jurnal Chart Datum Indonesian Journal of Earth Sciences Indonesian Journal of Oceanography Jurnal Mandiri IT International Journal of Humanities Education and Social Sciences Formosa Journal of Science and Technology (FJST) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Ilmu Komunikasi dan Sosial Politik Jurnal Hidrografi Indonesia Journal of Fisheries & Marine
Gentio Harsono
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Jurnal Mandiri IT

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Bangka strait salinity prediction using landsat 9 oli image data Khoirun Nisa; Harsono, Gentio; Martha, Sukendra; Waluyo, Dangan
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.447

Abstract

Salinity is an important parameter because it affects the environment, such as water quality, growth, and development of aquatic vegetation and various animal species. Conventional water quality monitoring is still ineffective, so it is necessary to utilize technology in monitoring water quality, including water Salinity is an important parameter because it affects the environment, such as water quality, growth, and development of aquatic vegetation and various animal species. Conventional water quality monitoring is still ineffective, so it is necessary to utilize technology in monitoring water quality, including water salinity. Utilization of remote sensing is often used to study salinity both on a small scale and a global scale. Therefore, the author conducted a study to predict salinity in the Bangka Strait using the RRS (Remote Sensing Reflectance) method. The data used are Landsat 9 OLI image data downloaded from the USGS website and in situ salinity data in the Bangka Strait sea. The Landsat 9 OLI image data used is level 2 Surface Reflectance (SR), which is ready for analysis without additional processing by the user. The data obtained were processed using multiple linear regression analysis with Rrs as the independent variable and in situ salinity as the dependent variable. Salinity prediction models are divided into three groups based on the image recording date, namely Rrs 1 for the Landsat 9 OLI image recording on May 9, 2024, Rrs 2 for July 28, 2024, and Rrs 3 for the image recording on September 28, 2023. Multiple linear regression analysis produces R² values for each model of 0.81662874, 0.8170285, and 0.8136894. These R² results indicate that the three models, Rrs 1, Rrs 2, and Rrs 3, are included in the very good criteria in predicting salinity. To choose the best of the three models, by considering the results of the validity test. The NMAE validity test for Rrs 1, Rrs 2, and Rrs 3 is 10.10152, 10.37618, and 8.88680. Meanwhile, the RMSE values are 2.41327, 2.41064, and 2.43253. Therefore, it can be determined that the Rrs 2 model is the best in predicting salinity because it has the highest R² value, namely 0.8170285, and the smallest RMSE, namely 2.41064.
Co-Authors Adi Purwandana Adrianto, Dian Afifa Saira Putri Agus Atmadipoera Akbar, Harun I. Alfany, Dini Amir Yarkhasy Yuliardi Amron Amron, Amron Anatansyah Ayomi Anandari Anggriawan Maydwika, Dhedy Anindya Wirasatriya Arif Maulana, Arif ARIS PONIMAN Arochim Bambang Antariksa, Bambang Budi Purwanto Budi Sukoco, Nawanto Cabral, Mario Deri Sutiawan Dharma, Candrasa Surya Dohamid, Ahmad G Eldeenio Akeyla Ibrahim Fatoni, Khoirul Imam Firdaus, Randi Gultom, Feri Gultom, Rudy A.G. Haloho, Luwis Surani Hari Priyadi Hascaryo, Anom Puji Henry Munandar Manik Heryoso Setiyono Heryoso Setyono Hudayat, Nurul Ichsan, Andi Junaedi, Liva Kamija2, Kamija Khoirun Nisa KHOIRUN NISA Kunarso Kunarso Kurnia Darmawan, Lalu Kusmantoro, Yeri Laoli, Elvianus Lena Sumargana Lutfi Fitriano, Lutfi Mahardhika, Theodorus Karel Elang Malik, Kurnia Mohammad Raihan Gymnastiar Muhammad Hafizh Prasetyo Adji Namira F.N., Riva Nugroho, Giant Patrick W., Fressan Pianto, Teguh A. Purwandana , Adi Puspitasari, Dyah C. Putra, I Wayan Sumardana Eka Putra, Iska Raden Bima Yoga B Rafii, Akhmad Rana Rizqi Ayu Farihah, Rizqi Ayu Rudiastuti, Aninda W. Sadewa, Annisa Harum Safrudin, Muhammad Nur Saputra, Chairil Amin Setyo Pranowo , Widodo Sobar Sutisna Sry Mutia, Andike Subiantoro , Yudi Subiantoro, Yudi Sudiarso, Aries Sugama, Agus Y. Sugianto, Deni N. Suhendar, Henri Sukendra Martha Susilo, Ahmad Fa’iq Indra Sutejo, Bayu Suweni, Imanuel Trismadi Trismadi, Trismadi Utama, Alifka F. Wadjdi, Achmad Farid Waluyo, Dangan Wangdiarta, Fressan Patrick Widodo S Pranowo Widya, Kartika Wirasatriya , Anindya Wirasatya, Anindya Wiwin Ambarwulan Yosef Prihanto, Yosef Yudi Subiantoro Yuniarti Yuniarti Yuswantari, Truly