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All Journal Elipsoida : Jurnal Geodesi dan Geomatika
Hana Sugiastu Firdaus
Department of Geodesy Engineering, Diponegoro University
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THE USE OF SENTINEL-2 IMAGERY FOR TOTAL SUSPENDED SOLIDS (TSS) ESTIMATION IN PORONG RIVER, SIDOARJO Filsa Bioresita; Hana Sugiastu Firdaus; Cherie Bhekti Pribadi; Teguh Hariyanto; Anne Puissant
Elipsoida : Jurnal Geodesi dan Geomatika Vol 1, No 01 (2018): Volume 01 Issue 01 Year 2018
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.642 KB) | DOI: 10.14710/elipsoida.2018.2726

Abstract

ABSTRACT Sidoarjo mud disaster is an occurrence of hot mud bursts at drilling location of Lapindo Brantas Inc., Sidoarjo, Indonesia since 29th May 2006. In order to overcome the continuous mud flow, Indonesian government built embankment around the center of the mudflow. They also throw mud materials into the Porong River. The large and continuous disposal of mud material leads to sedimentation in Porong River. Remote sensing method with satellite imagery can be a solution to find out how much sedimentation occurred in Porong River as a result of mud’s disposal. Total Suspended Solid (TSS) calculation from satellite image can be indicator of sedimentation distribution.In previous studies, TSS distribution has been observed from Landsat-7 and Landsat 8 data. Nowadays, with ability of Sentinel-2 which has higher spatial resolution (10 m) and higher revisit time (up to 6 days), optimization of TSS distribution in Porong river can be done. Thus the objective of this research is analysis of Sentinel-2 imagery application to estimate TSS in Porong River. Result showed good correlation between in-situ data and TSS estimation from Sentinel-2 with value 0.72. Keywords : Sentinel-2, TSS, Porong River.
Permodelan Spasial Lahan Terbangun Menggunakan Spasial Statistik dan Penginderaan Jauh (Studi Kasus : Kota Batu, Jawa Timur) Hana Sugiastu Firdaus
Elipsoida : Jurnal Geodesi dan Geomatika Vol 1, No 02 (2018): Volume 01 Issue 02 Year 2018
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.534 KB) | DOI: 10.14710/elipsoida.2018.3699

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Batu City is one of the tourism cities in East Java Province which often visited by several tourists, so that is necessary to increase infrastructure development which causes land functions changes. The land use changes can be observed temporally by utilizing satellite imagery. In this study, Landsat 7 ETM + and Landsat 8 satellite imagery is used to map the land use in Batu City in 2006, 2009 and 2013, which later spatially processed using the mathematical Binary Logistic Regression method to obtain the built-up land modelling in the study area. The built-up land area has increased from 2006 until 2013, where in 2006 (10.26 km2) and in 2013 (17.69 km2). The results of change built-up land in Batu City using Binary Logistic Regression modelling for years 2006-2009 is : Y = 0.8028 + 0.0003 X1 + 0.0071 X2 -0.0418 X3 +0.0004X4, while change built-up land for years 2009-2013 in Batu City is Y = -0.6227 + 0.0008 X1 + 0.0025 X2 -0.0141 X3 +0.0002X4 +0.0103X5, which the predictor variable X1 is distance from collector roads, X2 (distance from local roads), X3 (distance from agriculture), X4 (distance from rivers), and X5 (distance from existing built-up land in 2009). Percentage of modelling accuracy for change built-up land in Batu City for years 2006 - 2009 is 76.53% and 71.69% for predict the change built-up land in 2009 - 2013. Whereas for modelling accuracy of change built-up land in Batu City for years 2009 - 2013 is 77.65%
PERBANDINGAN METODE FUZZY C-MEANS DAN K-MEANS UNTUK PEMETAAN DAERAH RAWAN KRIMINALITAS DI KOTA SEMARANG Hana Sugiastu Firdaus; Arief Laila Nugraha; Bandi Sasmito; Moehammad Awaluddin
Elipsoida : Jurnal Geodesi dan Geomatika Vol 4, No 01 (2021): Volume 04 Issue 01 Year 2021
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2021.9219

Abstract

Kriminalitas merupakan salah satu masalah penting di wilayah perkotaan termasuk di Kota Semarang. namun di Polrestabes Kota Semarang selama ini hanya mencatat laporan terjadinya kriminalitas tanpa memvisualisasikan ke dalam bentuk informasi spasial. Hal ini perlu dilakukan untuk memudahkan pihak berwenang dalam memetakan dan monitoring sebaran daerah rawan kriminalitas. Pada penelitian ini, dilakukan perbandingan metode clustering untuk menentukan metode yang paling baik untuk memetakan daerah rawan kriminalitas di Kota Semarang. Metode clustering yang digunakan yaitu Fuzzy C-Means dan K-Means. Metode Fuzzy C-Means adalah pengelompokan data ditentukan oleh derajat keanggotaan, sedangkan metode K-Means adalah pengelompokan data ditentukan dari centroid kejadian kriminalitas. Hasil penelitian ini menunjukan terdapat 1.965 kasus kriminalitas selama kurun waktu tahun 2016-2018. Daerah tingkat kerawanan dari kedua metode tersebut mempunyai hasil yang berbeda-beda. Nilai uji pengolahan metode Fuzzy C-Means sebesar 0,818 dikategorikan baik karena mendekati angka 1. Hasil verifikasi dari kedua metode terhadap data kriminalitas tahun 2019, menunjukan nilai metode Fuzzy C-Means lebih baik dengan persentase sebesar 71,23 %.
Co-Authors Anne Puissant Arief Laila Nugraha Bandi Sasmito Filsa Bioresita Moehammad Awaluddin Pribadi, Cherie Bhekti Teguh Hariyanto, Teguh