Smarthome merupakan salah satu implementasi konsep Internet of Things (IoT) yang memungkinkan untuk mengontrol dan memonitoring perangkat elektronik melalui jaringan internet. Pada penelitian ini dirancang sebuah sistem smarthome yang mendukung sinkronisasi pengontrolan hidup dan matinya perangkat elektronik melalui switch, aplikasi web dan time scheduling dengan database. Untuk mendukung sistem tersebut digunakan beberapa tools pendukung seperti Apache, MySQL, dan PHP serta hardware berupa arduino dan raspberry pi.  Sementara itu, metode pemodelan agile dengan pendekatan scrum digunakan dalam perancangan sistem ini. Penelitian ini diimplementasikan dalam sebuah Sistem Informasi Manajemen Perangkat Elektronik berbasis web yang bernama SIMPEL. Aplikasi SIMPEL memberikan kemudahan dalam mengendalikan perangkat elektronik yang ada di rumah.

Retinal diseases are a visual disorder that can cause human vision problems, such as blindness and low vision. Early detection of this disease is important to prevent visual impairment. In ophthalmology, segmentation of blood vessels is a major component of color retinal fundus images analysis for monitoring and diagnosing retinal diseases, like diabetic retinopathy, hypertensive retinopathy, age-related macular degeneration and arteriosclerotic. This process is effective to identify retinal diseases more accurately. This paper using Gaussian Filter to segmenting blood vessel on retinal images because this method is effective to remove noise and make blood vessels on images more clearly. These methods are applied to color fundus images from DRIVE database. These databases contain color fundus image are used to evaluate this method. The performance is evaluated by accuracy, sensitivity and specificity. The proposed method has the average of accuracy, sensitivity and specificity at 95.72%, 96.90% and 82.10%.

Market demands on a more impressive entertainment media have motivated for delivery of three dimensional (3D) audio content to home consumers through Ultra High Definition TV (UHDTV), the next generation of TV broadcasting, where spatial audio coding plays fundamental role. This paper reviews fundamental concept on spatial audio coding which includes technology, standard, and application. Basic principle of object-based audio reproduction system will also be elaborated, compared to the traditional channel-based system, to provide good understanding on this popular interactive audio reproduction system which gives end users flexibility to render their own preferred audio composition.

The use of trellis coded modulation (TCM) and diversity maximal ratio combining (MRC) are applied in this research in order to overcome the impairment of information signals caused by fading and noise. TCM is chosen due to its ability to correct error without increasing the transmit power and channel bandwidth. MRC is used to obtain multiple data streams corresponding to the transmitted image at the receiver. The testing of the system is carried out by calculating peak signal to noise ratio (PSNR) and bit error rate (BER). The result of this simulation shows that the use of TCM and MRC in the image transmission system improves significantly compare to the system which only use TCM without MRC.

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Abstrak-MPEG Surround merupakan salah satu spatial audio coding yang populer digunakan. MPEG Surround umumnya digunakan pada bitrate rendah yaitu 64, 96, dan 160 kbps. MPEG Surround dapat digunakan pada bitrate tinggi, namun kualitas audio yang dihasilkan pada bitrate tersebut belum sepenuhnya diketahui. Paper ini menginvestigasi pengaruh kenaikan bitrate terhadap kenaikan kualitas audio. Hasil menunjukkan peningkatan kualitas audio yang cukup signifikan saat MPEG Surround digunakan pada bitrate tinggi. Dengan demikian MPEG Surround layak digunakan pada bitrate tinggi untuk mendapatkan kualitas audio yang lebih baik.

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