scholarly journals THE APPLICATIONS OF GIS FOR DEVELOPMENT SOME CHOOSING AREAS

2021 ◽  
Vol 1 (2021) ◽  
pp. 10-21
Author(s):  
M. Angelica Baylon ◽  
Mariana Panaitescu ◽  
F. Panaitescu

This paper introduces Geographic Information System and its applications using datasets and innovative for research, extension services and development. Case study with GIS datasets is available for the Catanduanes Island. This application is good and efficient and will be recommended for actions in building GIS capability of human resources and for an environmentally sustainable and socio-economically Catanduanes support. GIS technology serves for the holistic development of different areas, in our case, for Catanduanes Island.

2019 ◽  
Vol 8 (1) ◽  
pp. 36-40
Author(s):  
Hendra Irawan Ferdiansyah ◽  
Ibnu Pratikto ◽  
Suryono Suryono

Perairan Pulau Poteran merupakan salah satu wilayah yang berlokasi di Kabupaten Sumenep, Jawa Timur. Budidaya rumput laut di Pulau Poteran terdapat beberapa kendala dalam pengembangannya, yaitu dari sarana prasarana perikanan yang kurang memadai, keterbatasan pemahaman sumber daya manusia, modal, kelembagaan serta penentuan lokasi budidaya rumput laut. Penggunaan teknologi Sistem Informasi Geografis (SIG) di bidang kelautan dapat memberikan gagasan yang baru dalam kesesuaian lahan untuk budidaya rumput laut. Tujuan dilakukan penelitian ini adalah menganalisa lahan yang berpotensi untuk budidaya rumput laut di perairan Pulau Poteran dan mengetahui luas lahan yang efektif untuk pengembangan budidaya rumput laut di perairan Pulau Poteran. Metode penelitian yang digunakan adalah metode eksploratif dengan pendekatan analisa kuantitatif untuk mengetahui tingkatan dan luasan kesesuaian lahan budidaya rumput laut di perairan Pulau Poteran. Hasil penelitian menunjukkan bahwa luas untuk kategori sangat sesuai (S1) sebesar 7.335,59 ha, sedangkan untuk kategori sesuai (S2) memiliki luas sebesar 17.990,11 ha dan kategori tidak sesuai (S3) memiliki luas sebesar 24.665,28 ha. Luas lahan yang efektif untuk pengembangan budidaya rumput laut di perairan Pulau Poteran sebesar 4.401,35 ha (60% dari luas sangat sesuai) dengan jumlah rakit yang dioperasikan sebesar 785.955 unit dengan ukuran rakit 7 x 8 m. The territorial waters of Poteran Island are one of the areas located in Sumenep Regency, East Java. There are some problems in seaweed cultivation of Poteran Island, which are facilities, fishery infrastructure, limited human resources, financial, and institutional and the determination of the location of seaweed cultivation. The use of Geographic Information System (GIS) technology in the marine field can give new idea in land suitability for seaweed cultivation. The purpose of this research is to analyze the potential for seaweed cultivation in the waters of Poteran Island and know the effective land area for the development of seaweed cultivation in the waters of Poteran Island. The research method used is an exploratory method with a quantitative analysis approach to determine the level and extent of the suitability of seaweed cultivation in Poteran island waters. The results showed that the area for the very suitable category (S1) amounted to 7,335.59 hectare, while the corresponding category (S2) has an area of 17,990.11 hectare and the unsuitable category (S3) has an area of 24,665.28 hectare. Effective land area for the development of seaweed cultivation in the territorial waters of Poteran Island amounted to 4,401.35 hectare (60% of the area is very suitable) with the number of rafts operated by 785,955 units with a raft size of 7 x 8 m.


2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 


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