Setiap kampus pasti memiliki papan informasi untuk memberi informasi seputar perkuliahan, informasi teknologi dan lain-lain. Tetapi selama ini papan informasi masih semrawut sehingga menimbulkan efek kurang menarik untuk diperhatikan oleh manusia. Oleh karena itu dibutuhkan sistem papan informasi yang dinamis dan dapat dikontrol secara otomatis. Digital signage merupakan salah satu solusi dari kekurangan papan informasi konvensial yang ada selama ini. Pada sistem digital signage yang dibuat memiliki beberapa fitur-fitur, yaitu pertama, memberi beberapa konten informasi seperti gambar, video dan teks berjalan. Kedua, infomasi darurat misalnya ketidakhadiran dosen dapat mengirimkan SMS. Ketiga, memberi informasi lokasi ruang yang dicari (wayfinding) dan fitur lainnya. Pada akhirnya dengan sistem papan informasi yang memanfaatkan digital signage bagi media informasi dapat meningkatkan daya tarik mahasiswa untuk beraktivitas di kampus dan memudahkan dosen dan sekretariatan menyampaikan berbagai informasi bagi warga kampus khususnya mahasiswa.Keywords : Papan Informasi, Digital Signage, client-server

The purpose of this paper is to show an approach in 2D localization and real-time mapping for robot applications that combine the Particle Filter algorithm, Extended Kalman Filter (EKF), and Iterative Closest Point (ICP). The closing loop method is added and shows satisfactory 2D mapping and localization results. We tested our approach to large floor buildings. For testing, we used a two-wheeled differential drive robot equipped with an optical encoder, laser scanner and gyroscope. Test results show that an accurate map of large high-rise buildings can be produced. Real-time mapping can reach a resolution of 5 cm. Automatic localization of cellular robots in unknown environments is one of the most fundamental problems in robot navigation. This is a complex problem due to the stringent requirements on cellular robots, especially those relations to accuracy, durability, and computational efficiency. The conclusions from this study can help in developing real-time 2D mapping for robot applications that process 2D cloud points directly.

This study aims to identify the strategies used by e-commerce companies in marketing their products. So that in marketing the product can have appeal by using methods such as advertising, packaging a product and others. In the end e-commerce can do product marketing in accordance with market desires and have more appeal in the eyes of consumers, so this study wants to explain the impact of corporate strategy in marketing products, namely increasing market interest in a product. This research used study methods the literature in which the author looks for reference theory that is relevant and in accordance with the problem raised. The reason the author adopts this title is because as we all know that there are many e-commerce companies that exist today and lately many people talk about it. The results obtained in this writing are knowing how a company makes a selection of strategies in determining market promotion, packaging, or targeting. But here the author found several business strategies that are often used by several e-commerce, namely content marketing, sales chat, target marketing, discounts, free shipping, and competitive prices. This is done because the purpose is to attract the attention of consumers to buy products offered

Dalam bidang teknologi informasi, citra merupakan elemen penting dalam penyediaan informasi visual. Pada kompetisi KOMURINDO, pengiriman data gambar dan data sensor merupakan penilaian wajib. Setiap data acclerometer dan gyroscope dikirim dalam satu baris secara berurut yang diawalai oleh header code. Payload akan menamngkap gambar yang dipetakan menjadi 100 x 100 pixel, dalam format bitmap RGB 8-bit , tanpa kompresi dan dikirim melalui gelombang radio 3DR 433MHz. Radio 3DR dapat berkomunikasi ±600m dalam kondisi tanpa hambatan. Gambar bitmap yang dikirimkan ke computer menghabiskan waktu ±17,20 detik. Waktu tersebut terbilang lama untuk pengambilan dan pengiriman satu buah data citra untuk studi kasus KOMURINDO 2017. Dari permasalahan tersebut dalam penelitian ini akan diterapkan algoritma Huffman untuk melakukan pengkompresian data citra menjadi lebih kecil dan data citra yang dikompresi akan diubah ke format JPEG, dengan menggunakan metode huffman rata – rata waktu yang pengiriman data citra menjadi lebih pendek yaitu 5,55 detik untuk gambar beriukuran 100 x 100 pixel.

This study aims to propose a new path planning algorithm that can guarantee the optimal path solution. The method used is to hybridize the Probabilistic Road Map (PRM) algorithm with the Information Search Algorithm. This hybridization algorithm is called the Informed-PRM algorithm. There are two informed search methods used. The first method is the informed sampling through an ellipsoid subset whose eccentricity is dependent on the length of the shortest current solution that is successfully planned in that iteration. The second method is to use a local search algorithm. The basic PRM algorithm will be run in the first iteration. Since the second iteration, the generation of sample points in the PRM algorithm will be carried out based on information. The informed sampling method will be used to generate 50% of the sampling points. Meanwhile, the remaining number of sample points will be generated using a local search algorithm. Using several benchmark cases, we compared the performance of the Informed-PRM algorithm with the Rapidly Exploring Random Tree* (RRT*) and informed RRT* algorithm. The test results show that the Informed-PRM algorithm successfully constructs the nearly optimal path for all given cases. In producing the path, the time and path cost of the Informed-PRM algorithm is better than the RRT* and Informed RRT* algorithm. The Friedman test was then performed to check for the significant difference in performance between Informed-PRM with RRT* and Informed RRT*. Thus, the Informed-PRM algorithm can be implemented in various systems that require an optimal path planning algorithm, such as in the case of medical robotic surgery or autonomous vehicle systems.