scholarly journals Prospek Pengembangan Usaha Handline Tuna di Perairan D.I. Yogyakarta: Tinjauan Sumber Daya dan Investasi

2021 ◽  
Vol 26 (4) ◽  
pp. 612-619
Author(s):  
Mustaruddin Mustaruddin ◽  
Bambang Murdiyanto ◽  
Eko Sri Wiyono ◽  
Jufri Pachri Laitupa
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Fishing Ground ◽  
Fish Production ◽  
Tuna Fish ◽  
Fish Resources ◽  
Average Production ◽  
Model Mapping ◽  
Western Border

In 2018, tuna production in D.I. Yogyakarta reached 371.66 tons, of which 75-82% were captured using the handline. The dominance of the tuna caught has led to the development of the handline that highly dependent on the potential of tuna resources. Investment prospects are also important because they become a reference for investors in investing in the tuna handline busineses. This study aims to analyze the potential of tuna fish resources including the spread of its fishing ground and analyze the feasibility of developing tuna handline buseneses in the waters of D.I. Yogyakarta. The data of this study were analyzed using the Schaefer model, mapping using geographic information system (GIS), and investment feasibility analysis. The potential of tuna fish production in the waters of D.I. Yogyakarta reached 628,53 tons/year, while the average production was 427,32 tons/year, so it is still prospective to be developed. Potential fishing ground for tuna handline was spreaded in the waters of Bantul Regency until the western border waters of Gunung Kidul Regency, and in the eastern waters of Gunung Kidul Regency. The tuna handline was also prospective to be developed its investment in D.I. Yogyakarta. The value of NPV, IRR, ROI, and B/C ratio of tuna handline were very good, i.e., IDR 425,121,064; 36.49%; 9,36; and 1.22 respectively.   Keywords: fish resource, geographic information system, investment, the waters of D.I. Yogyakarta, tuna handline

scholarly journals Sistema de informação geográfica para o agronegócio do babaçu no estado do Piauí - SIG GeoBabaçu / Geographic Information System to the agribusiness of the babaçu in the state of Piauí – SIG GeoBabaçu

2017 ◽  
Vol 27 (1) ◽  
pp. 54
Author(s):  
Valdira De Caldas Brito Vieira ◽  
Maurício Alves Moreira ◽  
Deyvid Yuri Da Silva Lopes ◽  
Felipe Ramos Dantas
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Geographic Information ◽  
General Information ◽  
Google Earth ◽  
The State ◽  
Location Data ◽  
Gps Navigation ◽  
Average Production

<p>Este artigo apresenta a construção de um Sistema de Informação Geográfica (SIG), disponível na <em>web</em>, como ferramenta para divulgar informações atualizadas sobre o agronegócio do babaçu no estado do Piauí, Brasil. O SIG GeoBabaçu foi desenvolvido utilizando a plataforma GeoServer e foi composto de duas partes:1) site<em> web</em> que mostra informações gerais sobre o babaçu e sobre os municípios produtores; 2) banco de dados geográficos com a disponibilização dos mapas da distribuição espacial do babaçu nos municípios pesquisados. Na construção do Banco de Dados Geográficos foram utilizados o sistema gerenciador de banco de dados PostgreSQL 9.3 + PostGIS 2.1., em conjunto com o Sistema de informação Geográfica QGIS. Para o mapeamento da distribuição espacial do babaçu foram selecionados os 25 municípios que apresentaram produção média mínima de cinco toneladas de amêndoas entre os anos de 2006 e 2013. Foram utilizadas imagens RapidEye, ortorretificadas com resolução espacial de 5 metros, composição R5G4B3 para a geração dos mapas. As imagens foram segmentadas e classificadas no <em>software </em>eCognition 8.7 e reclassificadas manualmente no módulo ArcMap do ArcGis<em> </em>10.2.2, com o apoio de imagens do Google Earth Pro 7.1.5.1557. O levantamento dos dados de localização dos babaçuais foi realizado utilizando equipamentos GPS de navegação com precisão de 10 metros. O SIG GeoBabaçu está disponível no endereço siggeobabacu.ifpi.edu.br.</p><p><strong>Palavras-chave</strong>: mapeamento web, geoprocessamento, banco de dados geográficos, sensoriamento remoto.</p><p><strong>Abstract</strong></p><p class="Abstract">This article presents the construction of a Geographic Information System (GIS), available on the web, as a tool to disseminate up - to - date information on babaçu agribusiness in the state of Piauí, Brazil. The GeoBabaçu SIG was developed using the GeoServer platform and was composed of two parts: 1) web site that shows general information about the babassu and about the producing municipalities; 2) geographics database with the map of spatial distribution of babassu in the cities surveyed. In the construction of the databases geographic was used the system database manager PostgreSQL 9.3 + PostGIS 2.1, in conjunction with the QGIS Geographic Information System. For the mapping of the spatial distribution of babassu, the 25 municipalities that had a minimum average production of five tons of almonds between 2006 and 2013 were selected. To the mapping were used RapidEye images, orthorectified, with spatial resolution of 5 meters and composition R5G4B3. The image segmentation and classification processes were performed with eCognition software 8.7 and after were reclassified manually in ArcGis module 10.2.2, supported by images from Google Earth Pro 7.1.5.1557. The survey of the location data of the babassu area was performed with equipment GPS navigation with accuracy of 10 meters. The GeoBabaçu SIG is available in the address siggeobabacu.ifpi.edu.br.</p><p class="Abstract"><strong>Keywords</strong>: webmapping, geoprocessing, geographic database, remote sensing.</p><p class="Pargrafo"> </p><p class="Abstract"> </p>

scholarly journals Pemetaan Penyebaran dan Prediksi Jumlah Penduduk Menggunakan Model Geometrik di Wilayah Bandar Lampung Berbasis Web-GIS

2016 ◽  
Vol 2 (2) ◽  
pp. 95
Author(s):  
Yuni Rahayu ◽  
Kurnia Muludi ◽  
Astria Hijriani
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Distribution ◽  
Mapping Population ◽  
Geometric Model ◽  
Geographic Information ◽  
Web Gis ◽  
Population Number ◽  
Web Based ◽  
Model Mapping

Abstrak— Pengamatan pola penyebaran penduduk merupakan salah satu hal yang sangat penting bagi pemerintah. Informasi mengenai hal ini akan bermanfaat untuk pengambilan keputusan dalam perencanaan pembangunan di wilayah pemerintahan. Prediksi penyebaran jumlah penduduk akan sangat bermanfaat untuk perencanaan pembangunan di wilayah Bandar Lampung. Informasi mengenai penyebaran dan prediksi jumlah penduduk di wilayah Bandar Lampung masih diolah secara manual dengan penyajian masih terbatas dalam bentuk tabel dan grafik. Penelitian ini bertujuan untuk membangun sistem informasi geografis berbasis web yang menampilkan pemetaan penyebaran dan prediksi jumlah penduduk berdasarkan metode geometrik di wilayah Bandar Lampung. Data pada penelitian ini diperoleh dari publikasi Badan Pusat Statistik Kota Bandar Lampung. Sistem ini diimplementasikan menggunakan Qgis, Geoserver, PostgreSQL dan bahasa pemrograman PHP. Hasil keseluruhan pengujian menunjukkan bahwa sistem informasi geografis penyebaran dan prediksi jumlah penduduk telah sesuai baik dari segi fungsionalitasnya, maupun dari segi interaksi pelayanan pengguna.Kata Kunci— Sistem Informasi Geografis, Model Geometrik, Pemetaan Jumlah Penduduk.Abstract— Population distribution pattern is one of Bandar Lampung government concerns. This information is useful for goverment decision making for specific local development.The prediction of population number using certain model is predicted will be useful for Bandar Lampung development plan. Information about distribution and prediction of resident population in Bandar Lampung are processed manually and limitedly presented in form of tables and graphs. The purpose of this research is to build Bandar Lampung web based Geographic Information System that predict population distribution and mapping using Geometric Model. Data in this research were obtained from Statistics Of Bandar Lampung Municipality Publication. This system was implemented by using QGIS, GeoServer, PostgreSQL and PHP programming language. Overall,the testing results show that the system is appropriate and functional.Keywords— Geographic information system, Geometric Model, Mapping population.

scholarly journals KERAGAAN PERIKANAN TANGKAP DI PERAIRAN KABUPATEN TANGERANG

2020 ◽  
Vol 26 (4) ◽  
pp. 201
Author(s):  
Mario Limbong
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Performance Data ◽  
Spatial Mapping ◽  
Fishing Gear ◽  
Considerable Potential ◽  
Fish Resources ◽  
Fishing Vessels ◽  
Fishing Gears

Perairan Kabupaten Tangerang memiliki potensi sumber daya ikan yang cukup besar. Saat ini, pengaruh kegiatan pesisir dan pola penangkapan telah mengakibatkan terjadinya dinamika penangkapan ikan yang mempengaruhi jumlah hasil tangkapan nelayan. Tujuan penelitian adalah menganalisis keragaan perikanan tangkap seperti sebaran jumlah alat tangkap, jumlah kapal penangkap ikan, dan daerah penangkapan ikan di perairan Kabupaten Tangerang. Data keragaan perikanan tangkap dianalisis secara deskriptif, dan pemetaan spasial dianalisis menggunakan sistem informasi geografis kelautan. Hasil penelitian menunjukkan jumlah alat penangkapan ikan di Kabupaten Tangerang sekitar 22.495 unit yang didominasi alat tangkap bubu sekitar 18.750 unit. Sebaran alat penangkapan ikan terbanyak tedapat di Desa Dadap, Ketapang dan Tanjung Kait. Jumlah kapal penangkap ikan di Kabupaten Tangerang sekitar 3.212 kapal yang didominasi kapal berukuran <5 GT yaitu sekitar 2.125 kapal, berukuran 5 – 10 GT sekitar 905 kapal, dan berukuran 10 – 30 GT sekitar 182 kapal. Sebagian besar kapal terdapat di Pusat Pendaratan Ikan (PPI) Kronjo, PPI Cituis, dan Desa Dadap. Daerah penangkapan ikan utama kapal <5 GT mengalami pergeseran ke arah timur laut Kabupaten Tangerang. Daerah penangkapan ikan utama kapal > 5 GT berada di Pulau Lancang, Pulau Laki, Pulau Bokor, dan Pulau Pari. The waters of Tangerang Regency have considerable potential for fish resources. At present, the influence of coastal activities and fishing patterns has resulted in fishing dynamics that affect the amount of fishermen’s catch. The research objective is to analyze the fisheries performance, such as the distribution of the number of fishing gears, the number of fishing vessels, and the fishing grounds in Tangerang Regency waters. Capture fisheries performance data were analyzed descriptively, and spatial mapping was analyzed using a marine geographic information system. The results showed that the number of fishing gear in Tangerang Regency was around 22,495 units, dominated by around 18,750 units of traps. The largest distribution of fishing gear is in the villages of Dadap, Ketapang, and Tanjung Kait. The number of fishing vessels in Tangerang Regency around 3,212 vessels, dominated by <5 GT boats size, namely 2,125 boats, 5-10 GT around 905 boats, and 10-30 GT around 182 boats. Most of the vessels were based in PPI Kronjo, PPI Cituis, and Dadap Village. The main fishing grounds for vessels <5 GT has shifted to the northeast of Tangerang Regency. The main fishing grounds for vessels over 5 GT are on Lancang Island, Laki Island, Bokor Island, and Pari Island. 

scholarly journals Implementation of a geographic information system (GIS) for the planning of beekeeping in the west region of Paraná

2014 ◽  
Vol 86 (2) ◽  
pp. 955-971 ◽  
Author(s):  
SIMONE C. CAMARGO ◽  
REGINA C. GARCIA ◽  
ARMIN FEIDEN ◽  
EDMAR S. DE VASCONCELOS ◽  
BRUNO G. PIRES ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Location ◽  
Geographic Information ◽  
The West ◽  
Populated Area ◽  
Floristic Survey ◽  
West Region ◽  
Average Production ◽  
Do So

This study aimed to develop a Geographic Information System (GIS), for storage of information and geographic location of apiaries in eight counties in western Paraná; study the local flora; the land used; and the honey productivity in the harvest of 2010 in two of these areas: Marechal Cândido Rondon and Santa Helena. In order to do so we used the software SPRING, delimiting a radius of action of bees of three kilometers around the apiaries. We interviewed and registered 126 beekeepers with 383 apiaries. By using the images we selected areas with greater and lower overlap of hives in Marechal Cândido Rondon (144 and 44 hives, respectively) and Santa Helena (165 and 40 hives, respectively), in a three kilometers radius, selecting 15 colonies in each area, for the study of the parameters cited. In the multivariate analysis of the grouping, five groups were formed, by their similarity of management, indicating the higher average production in the hives of the most populated area of Santa Helena and lower average production in the most populated of Marechal Cândido Rondon. The grouping of hives, the differences in the production of honey and floristic survey indicated that these differences could be associated with management, floristic and climatic differences recorded in the period of production, in the areas studied.

PEMANFAATAN WEBGIS DALAM MENDUKUNG PROGRAM DESA BERSAUDARA DI KABUPATEN MAGELANG

2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>

Implementation of A-Star Algorithm for Searching Routes Near the Tsunami Evacuation Shelter Point

2020 ◽  
Vol 4 (2) ◽  
pp. 254-259
Author(s):  
Renita Astri ◽  
Sularno
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Distance Estimation ◽  
Geographic Information ◽  
High Population

District of West Padang which is the area closest to the coast and has a high population. Therefore a geographic information system was created using the A-Star Algorithm method. The A-Star algorithm uses the closest distance estimation to reach a goal and has a heuristic value that is used as a basis for consideration. In this system there are alternative paths and show the amount of capacity and distance from the shelter to be addressed.

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