characteristic mapping
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2021 ◽  
Vol 43 (5) ◽  
pp. A3155-A3183
Author(s):  
Xi-Yuan Yin ◽  
Linan Chen ◽  
Jean-Christophe Nave

2021 ◽  
Vol 424 ◽  
pp. 109781
Author(s):  
Xi-Yuan Yin ◽  
Olivier Mercier ◽  
Badal Yadav ◽  
Kai Schneider ◽  
Jean-Christophe Nave

2020 ◽  
Vol 42 (3) ◽  
pp. A1663-A1685 ◽  
Author(s):  
Olivier Mercier ◽  
Xi-Yuan Yin ◽  
Jean-Christophe Nave

2019 ◽  
Vol 8 (2) ◽  
pp. 130
Author(s):  
Nugroho Irawan Febianto ◽  
Nicodias Palasara

Abstract— Poverty is a condition of life that is understaffed by a person or household so that it is unable to meet the minimum or proper needs for his or her life. The poverty Data in each region will differ. It is influenced by many of its supporting indicators. By determining and measuring the indicators of poverty, it will facilitate and recognize the poverty level of the region. Grouping characteristics of a region based on poverty indicators, so that the government can precisely and quickly take policies to mitigate poverty in a region. The method used in this study uses the K-Means Clustering method. The Clustering method is selected because this method has the ability to classify large amounts of data with faster process times efficiently. The object in this study used data published by the BPS (Badan Pusat Statistik) on poverty Data and information in the Regency/city in 2018. Based on the results of this study, the results of the characteristic mapping of each group formed based on the highest and lowest value of poverty indicator of West Java province year 2018. With the characteristics found in each region, it will certainly be a solid foundation for government organizers to provide the right and quick policy/approach to overcome the poverty that is found in the region.


2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Nineu Yayu Geurhaneu ◽  
Fauzi Budi Prasetio ◽  
Godwin Latuputty

Lokasi penelitian terletak di bagian utara pulau Obi, Maluku. Tujuan penelitian ini adalah untuk mengkaji aspek kebencanaan geologi kelautan berupa pengumpulan data primer dan sekunder. Data primer meliputi hasil pengukuran kedalaman dan pemetaan karakteristik pantai. Data sekunder berupa energi gelombang yang dihitung melalui pendekatan energi fluks dari data angin di stasiun pengamatan Labuha/Taliabu tahun 2004 – 2013. Hasil penelitian berupa peta karakteristik pantai dan peta batimetri. Kedalaman daerah penelitian berkisar dari 0 sampai 310 meter dan perairan terdalam terletak di antara Pulau Obi dan Pulau Bisa. Kebencanaan geologi di Pulau Obi berupa banjir bandang, abrasi pantai dan tsunami.Kata kunci : kebencanaan geologi, energi fluks, banjir bandang, abrasi pantai dan tsunami, Pulau ObiThe study area is located on northern part of  Obi Island, Moluccas.  The research objective is to determine the potential of marine geological hazard by primary and secondary data collecting. Primary data consists of bathymetric and coastal characteristic mapping. Secondary data is from calculated wave energy flux by using wind data from Labuha / Taliabu observation stations (2004 – 2013). The result composed of coastal characteristic and bathymetric maps. The water depth range from 0 to 310 metres and the deepest part in between Obi and Bisa islands. The geological hazard on Obi Island consist of  flooding,coastal abrasion and tsunami.Keywords :  geological hazard, flux energy, flooding, coastal abrasion and tsunami, Obi Island


2016 ◽  
Vol 30 (1) ◽  
pp. 11
Author(s):  
I Wayan Lugra

Sampit Bay is one of many main gates to enter the Central Kalimantan Province, because there is Mentaya River Mouth as an access to the Sampit Harbour as a main port at its province. Until now, the Sampit Bay only used as anchored for big ships waiting turn to enter Sampit Port. The methods used are coastal characteristic mapping, seafloor surficial sediment sampling, grain size analyses, echosounding, and current measurement. Sampit bay has sandy coast, sand of sea floor surficial sediment, and gradation of sea floor morphology which is suitable for sea port location. On the other hand, the velocity of the surface and midle current in the bay ranging between 0.1-0.3 m/second which is dominated by south east direction. The mentioned velocity is under threshold for safety ship anchoraged. Beside that, most of the bay open to the wind from west and south west facing Java Sea, where the velocity ranging from 5-13 m/second which is included into weak catagories. Location is recommended to be sea port candidate in the south of Ujung Pandaran.Keywords: Sampit Bay, port location, coastal characteritistic, sea floor surficial sediment, current velocity. Teluk Sampit adalah salah satu gerbang utama memasuki Propinsi Kalimantan Tengah, karena tempat bermuaranya Sungai Mentaya yang merupakan akses menuju ke pelabuhan Sampit sebagai pelabuhan utama di provinsi tersebut. Selama ini teluk Sampit hanya digunakan sebagai tempat lego jangkar kapal-kapal besar yang menunggu giliran untuk berlabuh di Pelabuhan Sampit. Metode yang digunakan adalah pemetaan karakteristik pantai, pengambilan contoh sedimen permukaan dasar laut, analisis besar butir, pemeruman, dan pengukuran arus. Teluk Sampit memiliki jenis pantai berpasir dan sedimen permukaan dasar laut pasir serta morfologi dasar laut yang bergradasi cukup layak untuk lokasi pelabuhan. Disamping itu kecepatan arus permukaan dan menengah di teluk tersebut berkisar antara 0,1-0,3 meter/detik dengan arah dominan ke arah tenggara, dimana kecepatan arus tersebut masih dibawah ambang batas untuk keamanan kapal berlabuh. Disamping itu, sebagian besar teluk tersebut terbuka terhadap hembusan angin arah barat dan tenggara yang berhadapan dengan laut Jawa dimana kecepatan angin yang bertiup antara 5-13 meter/detik dan termasuk dalam katagori lemah. Lokasi yang paling layak untuk lokasi pelabuhan adalah sebelah selatan Ujung Banaran. Kata kunci: Teluk Sampit, lokasi pelabuhan, karakteristik pantai, sedimen permukaan dasar laut, kecepatan arus.


2014 ◽  
Vol 30 (6-8) ◽  
pp. 963-966
Author(s):  
Xiaosheng Li ◽  
Le Liu ◽  
Wen Wu ◽  
Xuehui Liu ◽  
Enhua Wu

2014 ◽  
Vol 30 (6-8) ◽  
pp. 787-796 ◽  
Author(s):  
Xiaosheng Li ◽  
Le Liu ◽  
Wen Wu ◽  
Xuehui Liu ◽  
Enhua Wu

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