4 research outputs found
Evaluasi Desain Simbol Peta Aeronautika (Peta Operasi Gabungan Udara) Skala 1:250.000
Get PDFPeta Aeronautika merupakan suatu alat penting yang digunakan untuk navigasi udara. Hal ini menjadikan peta aeronautika harus mudah terbaca oleh pengguna, yaitu para penerbang. Namun, desain simbol salah satu peta aeronautika, yaitu Peta Operasi Gabungan Udara (POGU) Skala 1:250.000 yang digunakan khusus untuk penerbangan militer Indonesia dianggap kurang sesuai dan sulit terbaca. Sehingga, perlu dilakukan evaluasi terhadap desain simbol POGU saat ini. Tujuan dari penelitian ini adalah melakukan evaluasi kemudian desain ulang dan penilaian terhadap desain simbol yang baru.Metode yang digunakan untuk evaluasi adalah dengan menjaring persepsi dan aspirasi para penerbang. Pengumpulan data dilakukan dengan wawancara langsung menggunakan kuesioner. Data hasil survei kemudian dilakukan analisis dengan metode deskriptif kualitatif. Hasil evaluasi menunjukkan terdapat beberapa simbol POGU yang dianggap tidak sesuai. Hasil akhir menunjukkan simbol titik yang dilakukan desain ulang adalah titik ketinggian dan fasilitas radio. Simbol garis yaitu garis kontur. Selanjutnya simbol area adalah hutan, semak, dan warna ketinggian
Visualized information value model result of landslide vulnerability in Purworejo
Get PDFIndonesia is one of the disaster-prone countries. Based on the Indonesian Disaster Information Data (DIBI) and the National Disaster Management Agency (BNPB) in the last five years from 2014 to April 2019 there have been 65 landslides in Purworejo. Landslide is one of the most common disaster that occur in Indonesia. Landslide is caused by meteorological and geomorphological factors. Purworejo is one of the potential area that could be experiencing landslides, because the geomorphological conditions which are included in Menoreh Hills are geographically sloping to very steep. Landslide susceptibility modeling in Purworejo Regency was carried out using three different methods, namely Information Value Model (IVM), Information Value Model-Analytical Hierarchy Process (IVM-AHP) and Information Value Model-Gray Clustering (IVM-GC). Each modeling is conducted using the Natural Breaks (Jenks) method to produce five classes, namely very low, low, medium, high and very high class based on the IVM value of each method. This research’s goal is to visualized 3 maps of modelling results. The visualization used is 3-dimensional mapping. This mapping is intended to make it easier to compare the map results of modeling that have been done before. The expected results of this study are accurate and reliable 3-dimensional visualization to study the advantages and disadvantages of each of the modeling methods used
Determination of evacuation routes based on spatial characteristic and least cost path for landslide in Bruno, Purworejo, Central Java
Get PDFMultiple linear regression analysis of remote sensing data for determining vulnerability factors of landslide in PURWOREJO
Get PDFPurworejo is one of the potential area that could be experiencing landslides, because the geomorphological conditions which are included in Menoreh Hills are geographically sloping to very steep. Based on the Indonesian Disaster Information Data (DIBI) and the National Disaster Management Agency (BNPB) in the last five years from 2014 to April 2019 there have been 64 landslides in Purworejo. The research on landslide vulnerability mapping has been done with various spatial modeling methods, one of them is using Information Value Model (IVM). There are four landslide factors arranging the model, such as elevation, slope, slope direction and vegetation index (NDVI). The purpose of this research is to determine the most influence factors towards landslide vulnerability levels thorugh remote sensing data. Multiple regression analysis is used to determine the most influential factors. In this research, dependent variable represented by eight landslide factors, and the independent variable is vurnerability level of landslide in Purworejo. The results of this study explain that the predictor variables that most influence the occurrence of landslides in Purworejo are elevations with regression values that are quite dominant among other variables
