DOI 10.5281/zenodo.7393529 2137 | V17.I11 THE ANALYSIS OF SDGS IN THE MANGROVE AREA OF DKI JAKARTA USING THE HYBRID METHOD (USING REMOTE SENSING AND PROSPECTIVE ANALYSIS) TJONDROARGO TANDIO 1 , CECEP KUSMANA 2 , AKHMAD FAUZI 3 , and ENDANG HILMI 4 1 Graduate School of Natural Resources and Environmental Management Science, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia. * Corresponding Author. E-mail: tjondrotandio@apps.ipb.ac.id 2 Department of Silviculture, Faculty of Forestry and Environment, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia. 3 Department of Natural Resources and Environment Economics, Faculty of Economics Management, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia. 4 Faculty of Fisheries and Marine Science, Universitas Jenderal Soedirman. Jl. Dr. Suparno, Purwokerto Utara, Banyumas, Indonesia. Abstract Mangrove ecosystems have many benefits of ecosystem services and can be one of the supporting factors for the SDGs. Indonesia, which is an archipelagic country and is located in the tropics, has a fairly extensive mangrove forest. DKI Jakarta is one of the provinces in Indonesia that has mangrove areas in its coastal areas. Changes in area or increases in the area can always occur over time, so it is necessary to monitor mangrove areas and identify variables that influence this. Based on this, the purpose of this study is to determine the actual and potential condition of the mangrove area and the variables that influence the North Coast of Jakarta. This research was conducted in the northern coastal area of DKI Jakarta Province. The method used in this research is a survey method and prospective analysis by utilizing institutional data and secondary data through remote sensing and GIS and Micmac processing. The results of Sentinel 2A image analysis using the NDVI method for the mangrove area on the north coast of Jakarta is 1192.201 Ha and several key variables. INTRODUCTION Mangrove forests are forests that grow in coastal areas or around river mouths that are influenced by tides, this forest is characterized by tree species Avicennia, Sonneratia, Rhizophora, Bruguiera, Ceriops, Lumnitzero, Nypn, and others (Hilmi et al., 2021a; 2019a; 2021c; 2021d) . In addition to plants or trees, in this forest, there are many other biotas that are interrelated to form an ecosystem (Hilmi et al., 2015). Mangrove ecosystems have several benefits and ecosystem services, for human life such as coastal protection from ocean waves, seawater intrusion, and recreational locations (Hilmi, 2018, Hilmi et al., 2022a; 2017a) in addition to the life of the biota in it (Hilmi et al., 2021b), as a place to find food, shelter, and breed (Brander et al. al., 2012; Malik et al., 2015). Indonesia, which is an archipelagic country located in the tropics, has a fairly extensive mangrove forest. Hamilton & Casey 2016 stated that the area of mangrove forests in Indonesia is around 26%-29% of the world's mangroves. The tropical climate with temperatures ranging