Rendra Regen Rais

DAS adalah daerah daratan yang merupakan bagian integral dari sungai dan anak-anak sungainya. DAS berfungsi untuk menampung, menyimpan dan mengalirkan air yang berasal dari curah hujan ke danau atau ke laut secara alami, batas di darat adalah pemisah topografi dan batas di laut ke perairan yang masih dipengaruhi oleh aktivitas darat. Pemetaan tutupan lahan di daerah aliran sungai penting untuk memahami masalah yang terjadi di daerah aliran sungai seperti kualitas air yang menurun dan rentan terhadap tanah longsor atau banjir. Dalam studi ini, pemetaan area penutup DAS Rindu Hati dilakukan dari 2014 hingga 2018 dengan menggunakan citra satelit Landsat 8 menggunakan metode Maximum Likelihood dan NDVI. Peta tutupan lahan kemudian diproses dan ditampilkan menggunakan media webGIS. Penelitian ini diharapkan dapat menjadi bahan pertimbangan untuk pengambilan keputusan dalam pengelolaan DAS Rindu Hati di masa depan untuk mendukung lingkungan yang berkelanjutan. Selain itu, penelitian ini m...

Biodiversity loss is a global issue and is especially of pressing concern in mega diverse countries, such as Indonesia. To prevent any further catastrophe, the Ministry of Forestry and Environment of Republic of Indonesia has been promoting the resort based management to be implemented in Indonesia to maximize the performance of conservation activity. The lack of data standardization made it hard to organize and manage archipelagic country that consist 17,504 islands with no technology provision in most of them. In this paper we develop a framework of integration mobile-web technology for biodiversity and conservation in Indonesia. We introduced a new framework to maintain the biodiversity and conservation data in Indonesia.

As a maritime country that consist of 17.504 islands, data collection and central monitoring have been a pressing concern in Indonesia. An efficient data collection process can help the decision maker to collect the accurate data to be processed as a decision and policy in the future. With conservation mobile used by all of the forest ranger in Indonesia, not only the biodiversity and wildlife could be managed properly but the performance of the conservation activity could be measure easily. In this paper, we develop an application for forest rangers to capture the data of biodiversity and conservation in Indonesia. This development was based on the latest law and policy in Indonesia to monitor the performance of conservation activity in Indonesia. It was developed by using Java programming language. The method we used is System Development Life Cycling (SDLC) and Unified Modelling Language (UML) 2.0 as the design model. The application was tested by using the method of the black box and the white box methodology.

Biodiversity loss is a global issue, but it is the pressing concern in mega-diverse countries, such as Indonesia. The lack of the data standardization and remote area spread on 17.504 islands made it hard to organize and to manage without the aid of any technology. In this paper, we develop an application for forest rangers to capture the data of biodiversity and conservation in Indonesia. This development was based on the latest law and policy in Indonesia to monitor the performance of conservation activity in Indonesia. It was developed by using Java programming language. The method we used is System Development Life Cycling (SDLC) and Unified Modelling Language (UML) 2.0 as the design model. The application was tested by using the method of the black box and the white box methodology.

Forest fire is a condition where an area where there are many trees and plants undergo a change in shape caused by massive burning. Forest fires occur in Indonesia especially on the island of Sulawesi. Sulawesi Island itself is an island that still has quite extensive forests. The cause of forest fires is caused by two factors, namely natural and human. Indicators of forest fires can be known from the appearance of hotspots or hot spots. A hotspot is an indicator of an area that has a relatively higher surface temperature than the surrounding surface temperature that has been detected by Terra / Aqua satellites with a MODIS sensor. Furthermore, the hotspots are not only randomly distributed but also clustered. The research related to the identification process of hotspot distribution patterns in an area in Sulawesi is still limited and has its novelty. Here we showed the implementation of Spatio-temporal clustering method with ST-DBSCAN algorithm, aided with Waterfall system development. The result showed that there are several types of distribution patterns generated by the system (Stationary, Regular Reaping, Irregular, Occasional, and Track) from the data used from 2016 to 2018 over Sulawesi island. In this research, we also found that between 2016 and 2018, the emergence of high tendency hotspots occurred in July, August, September, and October.