The mangroves' aboveground biomass significantly contributes to the global carbon cycle or economic and ecological values. This makes knowledge about the spatial extent of the mangroves indispensable for policymakers. The sequence of mangroves’ condition range also requires remote sensing data to update the geographical information and synthesize carbon stock in Bengkulu. Therefore, this study aims to create a spatial distrribution of mangroves and evaluate their carbon stock in Bengkulu City using Sentinel-2 imagery. The semi-empirical method uses Sentinel-2 imagery through NDVI to appraise and picture the mangroves' aboveground carbon stock. An allometric equation was used to compute the mangroves' aboveground carbon stock from field measurements. Non-linear regression was used to establish a connection between the NDVI calculated from the Sentinel-2 imagery and the mangroves' aboveground biomass measured in the field, which was subsequently used for aboveground carbon estimation. The results showed that mangroves mapping could derive overall accuracy of 89.09%, where the high-density class existed in 135.12 Ha of total area. It was also discovered that Sentinel-2 imagery could estimate mangroves carbon stock up to 61%. The carbon stock estimation based on the imagery has a value of 16.3992 – 115.134 t C/ha, while that of field survey data ranges from 19.69 to 326.06 t C/ha. These results showed that Sentinel-2B spectral data is functional and has a good chance of being able to predict carbon stock. Keywords : Carbon; mangroves; NDVI; remote sensing; sentinel-2B Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Urban development has become a problem in many cities, especially in developing countries. The availability of areas for development is needed to deal with rapid population growth and urbanization. The purpose of this study was to identify urban growth models. Due to urban growth planning, the city will be more manageable and organized. From the conclusions of urban modeling identification can provide an idea of what model is appropriate for use in urban growth studies. The results of this urban growth model identification could be a reference in urban growth modeling in better urban planning.
Nowadays, energy sources in the world at the end until now tends to be filled using fossil fuels. It is estimated that the world energy consumption until 2025 is still dominated by fossil fuels, namely oil, natural gas and coal. The Ministry of Energy and Mineral Resources said that petroleum dominates 54% of energy use in Indonesia. One way to overcome the use of fossil energy sources is to replace them with renewable energy especially photovoltaic. Therefore, this paper presents solar charge system using Buck Converter PID Controller for Spotlight load. Buck Converter with PID Controller is used to produce a smaller and more stable output voltage from solar panels of 14.4 Volts for charging the battery. The PID parameter values ??obtained after performing calculations using the Analytic Tuning method and tuning are Kp = 0.0307, ??Ki = 58.20 and Kd = 0.000263. The expected result of this research is to design and implement a solar charge controller as a producer of electrical energy from environmentally friendly energy.
Ekosistem mangrove merupakan salah satu potensi kekayaan sumber daya hayati yang bisa menjadi daya tarik wisatawan serta dijadikan wilayah konservasi sumberdaya alam pesisir. Kajian ini memiliki tujuan melakukan pemetaan potensi pariwisata di Pulau Kelagian Kecil dengan teknologi penginderaan jauh dan SIG kelautan dalam upaya mendukung basis data dan informasi kepada calon wisatawan lokal, domestik dan internasional. Data yang digunakan menggunakan data primer (survei lapangan dan wawancara) dan data sekunder (instansi terkait dan data online berupa peta dan literatur terkait). Hasil penelitian diperoleh bahwa Pulau Kelagian Kecil memiliki potensi wisata yaitu mangrove yang dibuktikan dengan teknologi penginderaan jauh dan sistem informasi geografis serta dokumentasi fasilitas-fasilitas yang ada
Perairan umum daratan Indonesia memiliki keanekaragaman jenis ikan yang tinggi, sehingga tercatat sebagai salah satu perairan dengan mega biodiversity di Indonesia. Salah satu upaya dalam pengelolaan sumberdaya perikanan secara lestari sebagaimana diamanatkan dalam UU No 31 Tahun 2009 tentang Perikanan, maka diperlukan data dan informasi tentang jenis dan morfologi ikan di suatu perairan. Tujuan dari penelitian ini adalah untuk mengetahui dan mengidentifikasi jenis dan morfologi ikan hasil tangkapan nelayan Pantai Tapak Paderi Kota Bengkulu. Manfaat dari penelitian ini adalah memberikan informasi mengenai jenis-jenis dan morfologi ikan hasil tangkap nelayan Tapak Paderi Kota Bengkulu. Teknik yang digunakan dalam pengambilan sampel yaitu metode pengumpulan sampel yang digunakan adalah Random sampling, sampel ikan laut diambil secara acak langsung dari Nelayan Tapak Paderi. Identifikasi yang dilakukan adalah menghitung panjang total, panjang baku, identifikasi diawali dengan memperhatikan dan mencatat bagian morfologi ikan laut antara lain: warna, posisi mulut, bentuk tubuh, tipe sisik, bentuk sirip ekor, jenis dan jumlah duri pada masing-masing sirip. Berdasarkan hasil penelitian yang diperoleh berhasil menginventarisasi 12 jenis ikan laut hasil tangkapan nelayan di Pantai Tapak Paderi Kota Bengkulu
Abstrak WebGIS merupakan salah satu pemetaan digital yang berbasis website yang saat ini tengah berkembang pesat. Pemanfaatan webgis dapat digunakan sebagai pemetaan sebuah lokasi bangunan yang nantinya memberikan informasi kepada masyarakat. Salah satunya yaitu sebagai pemetaan lokasi BTS di kecamatan Jatinegara. Pemetaan BTS tersebut, diharapkan dapat memberikan informasi secara public yang dapat di akses oleh masyarakat khususnya di kecamatan Jatinegara. Dalam webgis tersebut juga menampilkan keterangan berupa alamat BTS secara lengkap. Dalam pengembangan sistem webgis ini, peneliti menggunakan metode waterfall dan untuk perancangan sistem menggunakan Unifed Modeling Language (UML). Serta dalam pengujiannya menggunakan blackbox testing untuk mengetahui apakah sistem yang dikembangkan sudah sesuai kegunaan dan fungsinya. Dari hasil pengujian tersebut webgis yang kembangkan telah berjalan sesuai kebutuhan dan tidak terdapat kesalahan syntak. Abstract WebGIS is a website-based digital mapping which is currently growing rapidly. Utilization of webgis can be used as a mapping of a building location which will later provide information to the public. One of them is as a mapping of BTS locations in Jatinegara sub-district. The BTS mapping is expected to provide public information that can be accessed by the public, especially in the Jatinegara sub-district. The webgis also displays information in the form of a complete BTS address. In developing this webgis system, researchers used the waterfall method and for system design using the Unified Modeling Language (UML). As well as in the test using blackbox testing to find out whether the system developed is in accordance with its uses and functions. From the test results, the webgis that was developed has been running as needed and there are no syntax errors.
Technological developments, especially in remote sensing in mangrove mapping are growing. One of them is the use of Unmanned Aerial Vehicle (UAV) as a vehicle for capturing aerial photo data. This study aims to map the mangrove ecosystem in order to find out spatial information with UAV technology and to identify mangrove species, distribution, and associations. The ground survey was conducted on 02 until 04 May 2019 in North of Lancang Island, Seribu Islands, DKI Jakarta Province. The mangrove data collection was carried out in four stations with marking, tracking the mangrove area and drone flights for taking aerial photo data. Based on the research, it was found that the mangroves were in good condition with an area of around 4 hectares, consisting of Rhizophora mucronata. However, there is a lot of waste around the mangrove ecosystem, especially inorganic waste in the form of plastic. Where the presence of garbage can cover the roots of the mangrove so that it can affect respiration and cause death in mangroves. The application of UAV technology that is integrated with GIS in mangrove ecosystem mapping is expected to be an alternative in extracting mangrove databases for future coastal ecosystem management.
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