River discharge quantity is highly depended on rainfall and initial condition of river discharge; hence, the river discharge has auto-correlation relationships. This study used Vector Auto Regression (VAR) model for analysing the relationship between rainfall and river discharge variables. VAR model was selected by considering the nature of the relationship between rainfall and river discharge as well as the types of rainfall and discharge data, which are in form of time series data. This research was conducted by using daily rainfall and river discharge data obtained from three weirs, namely Sojomerto and Juwero, in Kendal Regency and Glapan in Demak Regency, Central Java Province. Result of the causality tests shows significant relationship of both variables, those on the influence of rainfall to river discharge as well as the influence of river discharge to rainfall variables. The significance relationships of river discharge to rainfall indicate that the rainfall in this area has moved downstream. In addition, the form of VAR model could explain the variety of the relationships ranging between 6.4% -70.1%. These analyses could be improved by using rainfall and river discharge time series data measured in shorter time interval but in longer period. Keywords: rainfall, river discharge, VAR AbstrakBesar kecilnya debit sungai sangat tergantung pada hujan dan kondisi awal dari debit itu sendiri, sehingga terdapat hubungan auto-correlation. Sementara itu, proses pengalihragaman dari hujan menjadi debit aliran pada sungai membutuhkan waktu (lag) antara terjadinya hujan dan kenaikan debit sungai. Penelitian ini menggunakan model Vector Auto Regression (VAR) untuk menganalisis hubungan antara curah hujan dan debit. Model VAR dipilih dengan mempertimbangkan bentuk hubungan antara kedua variabel dan tipe data hujan maupun debit yang keduanya merupakan data deret waktu (time series). Data curah hujan dan data debit harian diperoleh dari tiga bendung yaitu Bendung Sojomerto, Bendung Juwero di Kabupaten Kendal dan Bendung Glapan di Kabupaten Demak, Provinsi Jawa Tengah. Hasil uji kausalitas menunjukkan hubungan yang signifikan baik antara pengaruh variabel curah hujan terhadap debit maupun pengaruh debit terhadap curah hujan. Hubungan kausalitas yang signifikan antara debit terhadap curah hujan mengindikasikan bahwa karakteristik hujan di wilayah ini bergeser dari hulu ke hilir. Model VAR yang terbentuk dapat menjelaskan keragaman hubungan antara kedua variabel antara 6,4% -70,1%. Hasil penelitian menunjukkan bahwa model statistik berpeluang digunakan dalam peramalan hubungan hujan dan debit sungai. Analisis ini dapat dipertajam dengan menggunakan data deret waktu pada interval waktu yang lebih rapat dan periode yang lebih panjang.Kata Kunci: hujan, debit sungai, VAR.

The wetland has a strategic role in national development. The potential uses of the wetland are varied such as for agriculture, fisheries, industries, and forestry. The intensive use of the wetland for agricultural development in Sumatera, Kalimantan, Sulawesi, and Papua through transmigration projects has been run since in 1973. Unfortunately, not all the projects were well developed, causing the social, economic, and physical environmental problems. These problems resulted in the negative impact for the life of the transmigration people. For that reason, the community empowerment for the unlucky transmigration people by handling the physical and non physical aspects is very important. This paper will describe the importance of providing spatial data and information biophysical wetland as an initial step in empowering people who live in the wetland resource.

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<div><p class="Els-history-head">Indonesia is a country with a high level of disasters where during 2005-2015 there were 11,648 hydrometeorological disasters and 3810 geological disasters. In terms of technology, Indonesia is using mobile devices with high growth according to data from the Ministry of Communication and Information. One of the ways to increase the use of mobile devices in assisting disaster management in Indonesia can be developed in the location-based discovery of disaster victims. The location in a mobile device uses a Global Positioning System (GPS) where the existing data is in the form of Latitude and Longitude data. The aim of this research is that the application is expected to assist in the discovery of disaster victims based on the last GPS location. This study focuses on developing a disaster victim search application based on the Android operating system. Development uses the Agile Model by using Black-box Testing and White-Box Testing techniques, where the type of testing uses Unit Testing, Integration Testing, and Acceptance Testing with qualitative data. The results of the research obtained an application in the form of a prototype where there are several corrective inputs obtained from Acceptance Testing. This study is then expected that the application can be applied in disaster management systems in Indonesia which of course can be supported by binding rules so that the data obtained can be utilized optimally.</p></div>

Abstract. Presidential Order no. 6/2012 mentioned explicitly to use ortho-rectifed image for the purposes of national program done by all Indonesian governmental agencies. Policy of uses, control quality, processing and distribution of high resolution of satellite data are regulated by this Order.There are some advantages of implementing this Order particularly in accelerating the national geospatial data and information, however, without synergy use of high resolution imagery (including integration, coordination and harmonization), in the present condition so far some obstacles have been discovered. Without synergic actions or approaches, the Order will not provide optimal impact as the main objectives to make more efficient in using the national budget. This article describes the needs of synergy approach to implement the Presidential Order no. 6/2012 concerning the uses, distribution of high remotely sensed imageries.