<p><em>The needs of efficient bandwidth utilization and method to handle bandwidth fluctuation condition of wireless channel have become fundamental problems in video transmission. This research</em><em> proposed </em><em>Combined Scalable Video Coding (CSVC) that refers to Joint Scalable Video Model (JSVM), i.e. development of video coding H.264/AVC by exploiting scalable combination method using Medium Grain Scalability (MGS) on wireless channel of MIMO-OFDM (Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) technology. Th</em><em>e</em><em> research shows that the scalable combination method can be implemented on the scenario for wireless transmission on multicast network. Experimental results show</em><em> </em><em>that the delivered quality is close to the alternative traditional simulcast delivery mechanism in MIMO-OFDM systems.</em></p>
This study discusses the application of Wireless Sensor Network (WSN) technology to specific dry land agriculture because it was founded in the Province of East Nusa Tenggara (NTT) and a small part of Maluku. Its uniqueness has become a comparative advantage for the regions, especially for the academics of the University of Nusa Cendana (Undana). In general, the use of WSN in agriculture is still basic, relying on analog and manual sensors to obtain information on land conditions and vegetation in the land. Also generally still using scalar data and not optimizing the use of multimedia data, especially data based on videos and images. The contribution and novelty of this research are: (a) The application of multi-sensor technology with the Wireless Multimedia Sensor Network (WMSN) will optimize various data from land conditions so that it is hoped that more analysis of monitoring data results is expected, precise and efficient; (b) The application of WMSN with Internet-of-Thing (IoT) will be applied to the dry land agriculture. This research produces a design for implementing WMSN technology on dry agricultural land which is expected to increase agricultural yields in the area.
Sistem pelaporan monitoring penyakit menular pada Dinas Kesehatan (Dinkes) Kota Kupang dilakukan tiap bulan. Proses pengumpulan dan pengelolahan data bersifat paper based dan manual oleh tiap 11 puskesmas dan 2 balai pengobatan. Keterlambatan dan keakuratan data laporan W2 menyebabkan pengambilan keputusan tanggap darurat penyakit menular tidak optimal. Melalui implementasi SIMOK-w2, petugas surveilans melaporkan data w2 ke server Dinkes kota untuk diproses dan dipublikasikan pada website dinkes.
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