scholarly journals KAJIAN POLA PENGGUNAAN LAHAN DAN STRATEGI PENGELOLAAN WILAYAH KEPESISIRAN PURWOREJO

2020 ◽  
Vol 8 (2) ◽  
pp. 99
Author(s):  
Gaby Nanda Kharisma ◽  
Rizky Adriadi Ghiffari ◽  
Surono Surono ◽  
Zulfitrani Busrah ◽  
Zulhan Effendy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Early Warning ◽  
Coastal Area ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Population Pressure ◽  
Land Use Patterns ◽  
Central Java

AbstractPurworejo is a regency on the southern coast of Java has a potential resource but due to the aspect of disaster risk, this regency is also classified in the disaster risk assessment index class starting from the low, middle and high classes. The research objective is to examine the physical characteristics and land use patterns of coastal areas in Purworejo Regency, Central Java to then determine the coastal area strategy in the area. The location of the study is Munggangsari Beach, Grabag District, Purworejo Regency, Central Java Province. The methods used in this study include literature studies, remote sensing, field surveys (observation and measurement), and interviews. From the results of data and image analysis, there was an increase in livestock and pond fisheries activities in the Purworejo Coastal area from 2006 to 2014. The existence of these activities has the potential to harm the surrounding environment, one of which is groundwater quality. Whereas land use in the form of vacant and physical land generally decreases in area. This shows that from 2006 - 2016 there was high population pressure. Policy, technical capacity (early warning system procurement) is needed for the institution and strong emergency response mechanism in its application.Keywords: Purworejo, Coastal Region, Disaster risk, Remote Sensing, Early Warning System AbstrakPurworejo sebagai kabupaten yang berada di wilayah kepesisiran selatan Pulau Jawa memiliki potensi sumberdaya tetapi bila ditinjau dari aspek risiko bencana kabupaten ini juga terkasifikasi pada kelas indeks kajian risiko bencana mulai dari kelas rendah, menengah, dan tinggi. Tujuan penelitian untuk mengkaji karakteristik fisik dan pola penggunaan lahan wilayah kepesisiran Kabupaten Purworejo, Jawa Tengah untuk kemudian menentukan strategi wilayah kepesisiran pada daerah tersebut. Lokasi kajian yakni Pantai Munggangsari, Kecamatan Grabag, Kabupaten Purworejo, Provinsi Jawa Tengah. Metode yang digunakan dalam penelitian ini meliputi studi literatur, penginderaan jauh, survei lapangan (pengamatan dan pengukuran langsung), dan wawancara. Dari hasil analisis data dan citra terjadi peningkatan aktivitas peternakan dan perikanan tambak di wilayah Pesisir Purworejo dari tahun 2006 hingga 2014. Adanya aktivitas kegiatan tersebut berpotensi memberikan dampak negatif terhadap lingkungan sekitar salah satunya terhadap kualitas airtanah. Sedangkan untuk penggunaan lahan berupa tanah kosong dan gisik pada umumnya terjadi penurunan luasan. Hal tersebut menunjukkan dari tahun 2006 – 2016 terjadi tekanan penduduk yang tinggi. Dibutuhkan kebijakan, kapasitas teknis (pengadaan sistem peringatan dini) pada lembaga serta mekanisme penanganan darurat bencana yang kuat dalam pengaplikasiannya.Kata Kunci: Purworejo, Wilayah Kepesisiran, Risiko bencana, Penginderaan Jauh, EWS

scholarly journals RISIKO KAWASAN LONGSOR DALAM UPAYA MITIGASI BENCANA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS

Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 67
Author(s):  
Fakhryza Nabila Hamida ◽  
Hasti Widyasamratri
Keyword(s):  
Land Use ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Risk Mapping ◽  
Disaster Mitigation ◽  
Accurate Information ◽  
Loss Of Life ◽  
Landslide Disaster

ABSTRACTIndonesia is an area prone to landslides. The occurrence of this landslide disaster can cause a large impact such as damage and loss both material and non-material. The availability of complete and accurate information in controlling land use in landslide prone areas in the development of an area becomes very important in minimizing the loss of life and losses, both physical, social and economic. This information must be disseminated to the community as an early warning system in disaster mitigation efforts. Identification of the characteristics of landslide prone areas requires a risk mapping of landslide prone areas in efforts to mitigate disasters can be done using Geographic Information Systems (GIS). The results in this study indicate the need to identify disaster risk in detail because basically, an area threatened by disaster does not necessarily mean that each community has the same level of disaster risk. Mapping can be done by clustering or by identifying each building in a vulnerable area based on the level of risk of landslides. Keywords: risk analysis, landslides, disaster mitigation, GIS ABSTRAKIndonesia merupakan wilayah yang rawan terhadap bencana longsor. Terjadinya bencana longsor ini dapat menyebabkan dampak yang besar seperti kerusakan dan kerugian baik materiil maupun non materiil. Tersedianya informasi yang lengkap dan akurat dalam pengendalian pemanfaatan lahan di kawasan rawan bencana longsor dalam pengembangan suatu wilayah menjadi hal yang sangat penting dalam meminimalisir adanya korban jiwa dan kerugian-kerugian baik fisik, sosial maupun ekonomi. Informasi tersebut harus disebarkan kepada masyarakat sebagai sistem peringatan dini dalam upaya mitigasi bencana. Identifikasi karakteristik daerah rawan longsor diperlukan sebuah pemetaan risiko kawasan rawan longsor dalam upaya mitigasi bencana dapat dilakukan menggunakan Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan perlunya identifikasi risiko bencana secara detail karena pada dasarnya, suatu kawasan yang terancam bencana belum tentu tiap masyarakatnya mempunyai tingkat risiko bencana yang sama. Pemetaan dapat dilakukan dengan pengklusteran maupun dengan identifikasi setiap bangunan dalam kawasan rawan berdasarkan tingkat risiko terhadap bencana tanah longsor.Kata Kunci: analisis risiko, tanah longsor, mitigasi bencana, GIS

scholarly journals Early warning system on extreme weather events for disaster risk reduction

2019 ◽  
pp. 80-87
Author(s):  
Jacipt Alexander Ramón-Valencia ◽  
Jordi Rafael Palacios-González ◽  
Germán Rircardo Santos-Granados ◽  
Jarol Derley Ramón-Valencia
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Early Warning ◽  
Early Warning System ◽  
Disaster Risk Reduction ◽  
Warning System ◽  
Disaster Risk ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

The objective of this research was to propose a strategy based on the design and implementation of an early warning system (EWS) for extreme weather events. This project had the following phases: training for municipal and regional actors, preliminary technical diagnosis of the study areas, monitoring network, and the weather forecasts using numerical models WRF and GFS. This EWS is the result of the Macro-project EWS for Climate Events in the basins of the Pamplonita River and Zulia in the North of Santander (SATC), executed by the University of Pamplona and financed by the National Risk Management Unit (UNGRD) and the German Cooperation Agency (GIZ). The research concluded that the application of a disaster risk reduction strategy through an EWS for extreme weather events is an important tool and instrument for the planning of higher risk management because it helps anticipate disasters and consequently preserve lives.

scholarly journals Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Average Temperature ◽  
Flood Warning ◽  
Flood Warning System

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.

Tropical Forests: The Main Deforestation Fronts

1993 ◽  
Vol 20 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Norman Myers
Keyword(s):  
Land Use ◽  
Tropical Forests ◽  
Early Warning ◽  
Early Warning System ◽  
Forest Cover ◽  
Preventive Measures ◽  
Warning System ◽  
Initial Assessment ◽  
Silver Bullet

Tropical moist forests are being depleted at an ecobiome-wide rate of c. 2% per year. Certain countries are losing very little forest, while others are losing it at a rate of twice the average, and a few at a rate several times higher. An initial assessment of 14 ‘deforestation fronts’ — being areas that feature the most intensive, widespread, and rapid, deforestation — reveals that they currently feature 43% of all deforestation in 25% of tropical moist forests' expanse.There is urgent need for additional documentation of these deforestation fronts, and to monitor their evolving status — especially of those that look likely to lose forest cover at ever-more rapid rates. Even more important, the analysis allows us to derive criteria for major foci of deforestation, thus enabling us to anticipate new fronts while they are still emergent. In turn, this affords opportunity for preventive measures in the form of ‘silver bullet’ strategies on the part of conservationists, forestry experts, land-use planners, and policymakers. An early-warning system would go far towards supplying us with a more substantive and methodical understanding of depletive processes overtaking tropical forests.

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