scholarly journals PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG

JURNAL BUANA ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 423
Author(s):  
Mia Audina

PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG Program Studi Geografi, Fakultas Ilmu Sosial, Universitas Negeri Padang Email: [email protected] Abstrak Penelitian ini bertujuan untuk1) mengetahui tutupan lahan Kota Padang, 2) mengetahui prediksi jumlah penduduk dan volume sampah di Kota Padang 3) mengetahui luas TPA dan lokasi rekomendasi TPA. Metode yang digunakan dalam penelitian ini adalah metode analisis kuantitatif. Model yang digunakan Sistem Informasi Geografis (SIG) di overlay menggunakan parameter pengharkatan. Hasil penelitian menunjukkan, 1) analisis tutupan lahan Citra Landsat Kota Padang tahun 2016 adalah; Vegetasi (51486,40 Ha), Lahan Terbangun (11578,44 Ha), dan Sawah (5713,93 Ha). 2) prediksi penduduk pada tahun 2026 sebesar 1.011.166 jiwa dan prediksi volume sampah sebesar 2.952.604.720 kg/jiwa,.3) lahan yang dibutuhkan untuk TPA sebesar 45,67 Ha dengan luas daerah penyangga 11,42 Ha. Rekomendasi pendirian TPA berada pada Kecamatan Koto Tangah dan Kuranji. Kata kunci:Tutupan Lahan, Kepadatan Penduduk dan Volume Sampah, Luas TPA dan Rekomendasi TPA Abstract This study aims to 1) to know the land cover of Padang City, 2) to know the prediction of population and the volume of waste in Padang City 3) to know the extent of TPA and the location of the TPA recommendation. The method used in this research is quantitative analysis method. The model used Geographic Information System (GIS) in overlay using the parameters. The results showed, 1) analysis of land cover Citra Landsat Padang in 2016 is; Vegetation (51486,40 Ha), Built Land (11578.44 Ha), and Rice Field (5713,93 Ha). 2) population prediction in 2026 of 1,021,329 people and prediction of waste volume of 2.952.604.720 kg/ soul. 3) the land needed for the landfill of 45.67 Ha with a buffer area of 11.42 Ha. The recommendations for the establishment of TPA are located in Koto Tangah and Kuranji Sub-districts. Keywords:Land Cover, Population Density and Waste Volume, Extensive Landfill and Landfill Recomendation

2018 ◽  
Vol 3 (2) ◽  
pp. 170-178
Author(s):  
Lidia Agustina Rumaal ◽  
Jehunias L. Tanesib ◽  
Jonshon Tarigan

Abstrak Telah dilakukan pemetaan daerah rawan tsunami berdasarkan estimasi waktu tiba gelombang dan tutupan lahan di Kabupaten Kupang Provinsi Nusa Tenggara Timur menggunakan aplikasi Penginderaan Jauh dan Sistem Informasi Geografi. Penelitian ini bertujuan untuk mengidentifikasi, memetakan daerah rawan tsunami dan tingkat kerawanannya menurut estimasi waktu tiba gelombang dan tutupan lahan sebagai upaya mitigasi dampak bencana tsunami terhadap kepadatan penduduk. Metode penelitian secara umum dibagi dalam empat tahap utama yaitu pembangunan basis data berupa pembuatan peta tutupan lahan, peta gempa dan peta batimetri. Analisis data kerawanan dari peta tutupan lahan dan etimasi waktu tiba gelombang, penyajian hasil data dalam bentuk tingkat kerawanan masing-masing peta dan analisis hasil penelitian berupa tingkat kerawanan secara kualitatif masing-masing daerah titik pantau menurut peta tutupan lahan maupun estimasi waktu tiba gelombang. Selain itu, dampak kerawanan tsunami diklasifikasikan menurut tingkat kepadatan penduduk untuk kebutuhan mitigasi sebagai berikut Kecamatan Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut dan Fatuleu Barat. Kata kunci : Peta rawan tsunami, Penginderaan Jauh, Sistem Informasi Geografi, Estimasi Waktu Tiba Gelombang  Abstract Mapping of hazard tsunami areas based on estimation of arrival time of wave and land cover in Kupang Regency of East Nusa Tenggara Province using remote sensing application and geographic information system has been done. The  aims of this research are to mapping the hazard tsunami area and tsunami vulnerability level in Kupang Regency East Nusa Tenggara according to the estimated arrival time of the wave and land cover as an effort to mitigate the impact of the tsunami disaster on population density. These generally devided into four main phase namely development of database in the form of land cover map , seismic maps and bathymetry maps, data analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. Presentation of data results in the form of vulnerability level of each map and analysis and results analysis of research the form of vulnerability level of each map and analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. And then, the impact of tsunami vulnerability is classified according to population density levels for mitigation needs as follows Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut and Fatuleu Barat. Keywords: Tsunami Hazard Map, Remote Sensing, Geographic Information System, Estimated Time of arrival Wave


2018 ◽  
Vol 73 ◽  
pp. 03004
Author(s):  
Lidya Ernawati ◽  
Sutrisno Anggoro

Population increased has consequences for the economic development of land demands for agriculture, settlement and other infrastructure. This resulted the change of area land cover which impact on the climate change and decline the environmental quality. Therefore, it is necessary to improve the environment through the land rehabilitation activities. The analysis of land cover change is needed as the first step to identify areas targeted by the land rehabilitation. Geographic information system is used as a spatial based on the appropriate determination of rehabilitation activities


2019 ◽  
Vol 3 (2) ◽  
pp. 204-210
Author(s):  
Harnawan Nurul Asna ◽  
Frederik Samuel Papilaya

The purpose of this study was to find out how much area of agricultural land was converted because of the high property business activities in Semarang City, the data used for this study were taken from 1999 to 2018. The classification method used in this study was the remote sensing method using the unsupervised classification technique. Output of this study is the extensive data of agricultural land cover change obtained from 1999 to 2018. The results of this study can prove that the Geographic Information System can be used to find out how much agricultural land cover change in Semarang City from 1999 to 2018. The area of agricultural land that has been converted is from 1999 to 2009 around 3072 ha and from 2009 to 2018 around 1071.4 ha.


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