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All Journal Jurnal Planologi Sultan Agung Jurnal Pendidikan Geografi Undiksha Media Komunikasi Geografi Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Transformasi: Jurnal Pengabdian Masyarakat Jurnal Perikanan dan Kelautan GEA, Jurnal Pendidikan Geografi JURNAL SPASIAL Plano Madani : Jurnal Perencanaan Wilayah dan Kota JPG (Jurnal Pendidikan Geografi) Jurnal Pendidikan dan Ilmu Geografi Jurnal Geografi Jurnal Geografi, Edukasi dan Lingkungan JRST (Jurnal Riset Sains dan Teknologi) Georafflesia : Artikel Ilmiah Pendidikan Geografi International Journal of Applied Sciences in Tourism and Events Jurnal Geografi Jurnal Ilmiah Ilmu Sosial J SIG (Jurnal Sains Informasi Geografi) Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi ULIN: Jurnal Hutan Tropis GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Geosains dan Remote Sensing (JGRS) Jurnal Samudra Geografi Seminar Nasional Peningkatan Mutu Pendidikan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi JPIG JURNAL HUTAN TROPIS WELFARE Jurnal Ilmu Ekonomi Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi
Ridwana, Riki
Universitas Pendidikan Indonesia
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Analisis perubahan kerapatan vegetasi mangrove di taman nasional Ujung Kulon menggunakan metode NDVI Citra Landsat 8 Maulana, Ilham; Adifa, Safitri Fara; Ummah, Elva Ni'matal; Somantri, Lili; Ridwana, Riki
ULIN: Jurnal Hutan Tropis Vol 6, No 2 (2022)
Publisher : Fakultas Kehutanan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/ujht.v6i2.6932

Abstract

Indonesia memiliki kekayaan alam yang melimpah termasuk kekayaan pesisir seperti vegetasi mangrove. Hal ini menjadi sebuah tantangan besar dalam suatu pengelolaan sumber daya alam. Vegetasi mangrove yang terletak pada pertemuan antara sungai dan laut, menjadikan penginderaan jauh sebagai faktor yang berperan penting dalam menganalisis kerapatan vegetasi. Dengan bantuan data yang dihasilkan dari pengolahan citra menggunakan metode NDVI dalam menganalisis kerapatan, sebaran dan luasan mangrove, tentunya dapat menjadi suatu acuan dalam menganalisis kondisi kerapatan vegetasi dengan berbagai kelas yang ditentukan, yaitu jarang, sedang, dan rapat. Kawasan Taman Nasional Ujung Kulon adalah kawasan taman nasional terbesar di Jawa. Luas kawasan ini yaitu sekitar 120.551 hektar, terdiri dari 76.214 hektar daratan dan 44.337 hektar laut. Taman Nasional Ujung Kulon memiliki tiga ekosistem utama, yaitu ekosistem perairan laut, ekosistem pesisir pantai, dan ekosistem daratan/terestrial. Kawasan mangrove di Taman Nasional Ujung Kulon terdapat di sepanjang pesisir pantai bagian timur laut Semenanjung Ujung Kulon dan pulau di sekitarnya. Dengan analisis penginderaan jauh menggunakan metode NDVI dari tahun 2015 hingga 2021, kawasan mangrove di Taman Nasional Ujung Kulon masih didominasi mangrove kerapatan sedang dan rapat. Hasil tersebut menunjukkan kawasan ekosistem mangrove di Taman Nasional Ujung Kulon masih terjaga.Keywords: remote sensing, mangrove, vegetation density
Monitoring Aerosol Optical Depth for Air Quality Through Himawari-8 in Urban Area West Java Province Indonesia Ridwana, Riki; Himayah, Shafira; Rabbi, Muh Fiqri Abdi; Ahmad Lugina, Izma Maulana; Al Kautsar, Azhari; Sakti, Anjar Dimara
JURNAL GEOGRAFI Vol. 15 No. 2 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i2.36866

Abstract

Air quality is a crucial parameter in human life. One air quality indicator can be observed through Aerosol Optical Depth (AOD). If these substances are pollutants such as particulate matter, aerosols, and ozone, it is confident that air quality will deteriorate, threatening human health and causing climate change. AOD monitoring can be used as a basis for policymakers and related parties to maintain the stability of air quality in the atmosphere. Many ground observation stations monitor air quality by obtaining data on PM2.5 and PM10 aerosol particles. However, the number of ground stations is limited, resulting in incomplete data. Fortunately, remote sensing satellites have the advantage of covering large areas and providing continuous observations, with the ability to gather information on large-scale aerosol and obtain spatiotemporal distribution. Therefore, this research aims to obtain AOD through Himawari-8 and analyze the spatiotemporal air quality in urban areas of West Java based on AOD. The research methodology used in this study is descriptive analysis with an empirical research approach. Assisted by remote sensing technology and Geographic Information Systems, this research generates AOD data extraction that can be obtained from the new generation satellite of Himawari-8. The distribution of AOD levels and spatiotemporal monitoring in urban areas of West Java is very dynamic depending on anthropogenic activity in a particular area and time. Keywords: Aerosol Optical Depth (AOD), Air Quality, Himawari-8
Utilization of Sentinel-2A Imagery to Analyze Vegetation Density Using the MSARVI Method in Cigugurgirang Village, Parongpong Sub-district, West Bandung Regency Arrafi Malika Ardy; Amelia Rosmayanti; Riki Ridwana; Lili Somantri
JRST (Jurnal Riset Sains dan Teknologi) Volume 9 No. 2 September 2025: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v9i2.23470

Abstract

Vegetation monitoring using vegetation indices is widely applied in satellite image analysis to understand vegetation distribution and density. However, its accuracy is often affected by atmospheric disturbances and soil background noise. MSARVI (Modified Soil and Atmospheric Resistance Vegetation Index) was developed to address these issues, yet its application remains limited. This study aims to analyze vegetation density and evaluate the accuracy of the MSARVI index using Sentinel-2A imagery in Cigugurgirang Village. The methodology includes processing Sentinel-2A imagery to calculate MSARVI values, classifying vegetation density levels, and validating results using field reference data. MSARVI is computed by integrating atmospheric and soil background corrections to enhance vegetation detection accuracy. The results indicate that Cigugurgirang Village is predominantly covered by high-density vegetation, spanning an area of 147.71 ha. The accuracy assessment yielded an overall accuracy of 87.50% and a kappa accuracy of 83.34%, demonstrating high reliability. These findings confirm that MSARVI is an effective method for vegetation density mapping with high accuracy.
Co-Authors A Sediyo Adi Nugraha Abyan Hilmy Adhil Nur Muhammad Adi Firmansyah Adi Syahrul Mubarik Adifa, Safitri Fara Adilla Musyafa Aditya Candra Taruna Agil Akbar Fahrezi Agung Dwi Rahmawan Agung Mi'raj Fajar Ahmad Lugina, Izma Maulana ahmad yani Ahmad Yani Ahmad Yani Al Kautsar, Azhari Aliyan, Silmi Afina Alvian Aji Purboyo Alvien Hanif Ramadhan Alya Sekar Hapsari Amelia Rosmayanti Andara Aulia Andien - Rahmalia Anisa Dalilah Anisa Dalilah Anita Widia Sari ANNISA JOVIANI ASTARI Annisa Nurjanah Ar'rafi Malika Ardy Arcita Rizara Ardiani, Gusti Tia Arif Ismail Arrafi Malika Ardy Arrasyid, Riko Arry Sakti Al Faridzi Permana Asep Mulyadi Assem Abdelmonem Ahmed Mohamed Astri Indriyani Athiyyah Al Habibah Atikah, Siti Ayi Sopandi Ayi Susandi Ayu Innadya Azhari Al Kautsar Bagja Waluya bagja waluya, bagja Bella Melania Damanik Budhi L.S, Chandra Dalilah, Anisa Dede Rohmat Dede Sugandi Dini Adha Pawestri Dwi Yanti Dwi Yanti Efri Triana Nur Arifin Eka Wahyu Ningsih El Syifa Putri Elva Ni’matal Ummah Enok Maryani Erika Octyana Dewi Ervika Putri Wulandari Eva Safitri Fahmi Subhan Fauzan Fakhra Annaba Piawai Fakhriyah, Rafifah Adinda Fauzan Fajarrahman Zulfikri Fauzia, Alda Febriansyah Dharma Fahreza Ferryandy, Muhamad Ghina Yusriyyah Salma Habibah, Athiyyah Al Habibie Daud Syafaat Pasha Hakiki, Fikri Nurwan Hangga Aria Rahmawan Tisna Harum Khusnul Khotimah Hilman Tampubolon Himayah, Shafira Ihsan, Ashlah Afdlalul Ilham Maulana Ilham Nurfalah Indri Megantara Ismail, Jalu Rafli Iwan Setiawan Izma Maulana Ahmad Lugina Jalu Rafli Ismail Jupri Jupri Jupri Jupri Kamaluddin, Muhammad Rinaldi Karim, Rizal Aldian Keylila Hanan Zhafrani Khansa, Tasya Alifah Leo Widdyusuf Lili Somantri Lu’lu’ Izzatul Fawziah M Yusup M. Dede Sugandi M. Farizi Fernanda Mega Nurzihan, Yanti Melina Rosyana miftah Kurnia Hayu Mochammad Fauzan Mutawally Mochammad Rizky Miftah Fauzan Muh Fiqri Abdi Rabbi Muhaimin F. Rohman Muhamad Aditya Nugraha Muhamad Akbar Muhamad Ferryandy Muhammad Arrafi Muhammad Arrafi Nandi Nandi, Nandi Naufal Azmi Nisvi Nur’adqiah Nulhakim, Diki Lukman Paramita, Qorry Pradnya Pasha, Habibie Daud Syafaat Pawestri, Dini Adha Putri, El Syifa Putri, Indri Megantara Qorry Pradnya Paramita Rabbi, Muh Fiqri Abdi Rafifah Adinda Fakhriyah Rahma, Isma Yullia Rahmat Al Fauzi Rahmawan, Agung Dwi Raihan Cahara Winaya Adiwiria Ramadhan, Zidan Reza Pahlawan Ridwan Saidi Rinzani, Alayka Rizal Aldian Karim Roihan Muhammad Derajat Ruhby Ilham Sabila Meiwanda Sakti, Anjar Dimara Salma, Ghina Yusriyyah Sari, Anita Widia Sephana, Rafi'i Diva Setio Galih Mariyono Shafira Fairuz Siti Atikah Sri Sumiati Sudrajat, Daffa Rizal Fauzan Sugito, Nanin Trianawati Supriadi, Apip Syahnie Pratama Syahrial Fahmi Syahrial Fahmi Syauqi Izzul Syifa Aprilianti Tampubolon, Hilman Udin Wahrudin Ummah, Elva Ni'matal Vina Aulia Nafisyah Wahrudin, Udin Wijaya, Muhamad Akbar Wina R. Dewi Yakub Malik, Yakub Yanti Yohana Sinambela Yesi Sopariah Yusifa Muzri