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Aplikasi Soal Ujian Seleksi Peserta Pelatihan Kejuruan Operator Komputer Berbasis Multimedia untuk Mendukung Konsep “Paperless Office” di PPKD Jakarta Timur Image
Journal article

Aplikasi Soal Ujian Seleksi Peserta Pelatihan Kejuruan Operator Komputer Berbasis Multimedia untuk Mendukung Konsep “Paperless Office” di PPKD Jakarta Timur

Information and Communication Technology plays a major role in education andtraining. The impact of these developments can be seen with the heavy use of multimediaapplications and devices that are used in teaching and learning. Teaching materials from thesubject matter until the exam has started a lot is made in the form of multimedia applications.Exam is one measure the success of teaching and learning activities, though the test results arenot the only measure of the success of the teacher / lecturer / instructor / trainer and otherteachers. The common problem that occurs is the teacher / lecturer / instructor / trainer and otherteachers sometimes hit a problem of time in examinations exam results, besides the questionpaper and answer sheets can also be a waste of paper because it can not be used again on thenext exam. Wasteful use of paper at the present time is contrary to the implementation ofpaperless office is starting a lot of formal adoption by many government and private institutions.The use of multimedia-based exam application and paperless movement that has been appliedin many institutions with a wide range of issues and challenges to inspire writers to make thisarticle. This article was written based on the research that has been done in PPKD East Jakartain 2014. The aim of this study is to support the implementation of Paperless Office motion so thatthe test execution selection of trainees to be more efficient in terms of time and cost. Keywords: paperless office, multimedia, applications, test
Pemanfaatan Teknologi Informasi dalam Penanggulangan Bencana Alam di Indonesia Berbasiskan Web Image
Journal article

Pemanfaatan Teknologi Informasi dalam Penanggulangan Bencana Alam di Indonesia Berbasiskan Web

Indonesia lies at a meeting of active tectonic plates, mountain path active, temperate and tropical regions; making the most of its territory is prone to natural disasters. Based on the theory and the concept of disaster management (disasters management) which includes several stages: the stage of emergency response (response phase), phase of reconstruction and rehabilitation, preventive stage and mitigation and preparedness phases (preparedness); the disaster management efforts must be supported by a adequate information system. Geographic Information System (GIS) helps in determining the policies and coordination in disaster occurring in a disaster area, giving supplay logistics, building barracks, as well as post-disaster construction. By using GIS, it is hoped will be easier for decision makers to know the mapping of areas vulnerable to natural disasters. Due to the SIG will be described also the location of sites of natural disaster areas clearly.In this writing will be described a web-based GIS system to provide complete information regarding the geographical conditions such as weather, volcanic mountains, wind conditions and heat conditions of the territory of Indonesia. In this information system processing input data in the form of digital maps using ArcGIS and visualized using a web based Map Server.
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Pencarian Frequent Itemset pada Analisis Keranjang Belanja Menggunakan Algoritma FP\u002DGrowth Image
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Pencarian Frequent Itemset pada Analisis Keranjang Belanja Menggunakan Algoritma FP-Growth

 Market basket analysis (also known as association rule mining) is one method of data mining that focuses on finding purchase patterns by extracting associations or transaction data from a store. Market basket analysis found products purchased together in the same bucket. Association rules is a procedure for finding relationships between items that exist on a dataset. This research uses Supermarket dataset and data processing using Rapid Miner software. The method used in the frequent itemset search is the FP-Growth Algorithm. Experimental results using FP-Growth Algorithm found that the combination of beer spirits-frozen foods and snack foods is a frequent itemset with an lift ratio of 2,477   Keywords: FP-Growth, Market Basekt Analysis
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