Hafsah Fatihul Ilmy

ORCID: 0000-0001-8872-2486
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About
Contact & Profiles
Research Areas
  • Coastal Management and Development
  • Community-based Tourism Development and Sustainability
  • Landslides and related hazards
  • Architectural and Urban Studies
  • Flood Risk Assessment and Management
  • Diverse Topics in Contemporary Research
  • Fire effects on ecosystems
  • Agriculture and Agroindustry Studies
  • Digital Marketing and Social Media
  • Spatial and Panel Data Analysis
  • Regional Development and Environment
  • Medical Research and Treatments
  • Isotope Analysis in Ecology
  • Land Use and Ecosystem Services
  • Human Mobility and Location-Based Analysis
  • Traffic and Road Safety
  • Horticultural and Viticultural Research

National Cheng Kung University
2018-2021

Sepuluh Nopember Institute of Technology
2017

Abstract According to the Indonesian Disaster Management Agency (BNPB), Indonesia’s losses due landslides were estimated around hundreds of billion rupiah in 2017. Making landslide as one catastrophes with greatest risk loss and leaving a couple regions prone Indonesia, Pacitan region is them. Landslide delineation therefore represents particularly beneficial application evolving research trend disaster reduction, especially for vulnerable region. In present times open-access satellite data,...

10.1088/1755-1315/731/1/012028 article EN IOP Conference Series Earth and Environmental Science 2021-04-01

Kota metropolitan yang berkembang di Indonesia tidak dapat menghindar dari masalah-masalah berkaitan dengan permukiman kumuh. Masalah kumuh biasanya dikarakteristikan menurunnya kondisi lingkungan seperti masalah keterbatasan ketersediaan air tanah dan perdampahan. Berdasarkan fakta tersebut, penelitian ini bertujuan untuk mengidentifikasi mengklasifikasi kawasan perkotaan. Dalam menentukan prioritas kriteria perkotaan dilakukan penentukan bobot kriteria-kriteria berpengaruh terhadap...

10.12962/j23373539.v6i1.21510 article ID cc-by-sa Jurnal Teknik ITS 2017-03-11

Twitter has become one of the most significant resources for text mining. can provide information about human activities, mobility, and emotional patterns along with location data. Many types research be made these data, which is sentiment analysis. This study evaluates potential deriving responses individuals from tweets while they experience interact urban green space. A machine learning model using Support Vector Machine (SVM) corpus over 2000 movie reviews been made. used to classify...

10.12962/j27745449.v2i2.105 article EN Journal of Marine-Earth Science and Technology 2021-11-09
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