PEMANFAATAN BLACKBERRY PUSH TECHNOLOGY SEBAGAI MEDIA ALTERNATIF PUBLIKASI INFORMASI AKADEMIK

Informasi akademik bagi institusi pendidikan tinggi merupakan salah satu sarana komunikasi dan pertukaran informasi. Perkembangan teknologi mobile dan besamya market share perangkat mobile di kalangan mahasiswa menciptakan potensi altematif sebagai sarana atau media komunikasi sekaligus publikasi informasi akademik via mobile. BlackBerry sebagai salah satu perangkat mobile dengan market share terbesar di Indonesia yakni sebesar 47% didukung dengan layanan push. Layanan ini memanfaatkan Internet serta menggunakan notifikasi sebagai alert pada handheld manakala infonnasi terbaru yang dirilis oleh publisher informasi berhasil diunggah. Dengan keunggulan inilah, maka terbuka peluang bahwa informasi akademik dapat dipublikasikan dengan memanfaatkan push technology. Untuk itu dirancang sistem yang mampu mengakomodir publikasi infonnasi akademik ke handheld. Perancangan sistem dibagi menjadi dua bagian yaitu di sisi handheld (client) sebagai penerima informasi publikasi dan di sisi server sebagai publisher informasi akademik. Hasil perancangan direalisasikan dengan membangun aplikasi di sisi handheld (client) menggunakan BlackBerry Java SDK dan di sisi server menggunakan server scripting language. Publikasi infonnasi akademik melalui BlackBerry push technology memberikan manfaat kepada sivitas academica berupa notifikasi dan informasi yang up-to-date

Pengembangan dan Evaluasi Aplikasi e-RT di Kelurahan Periuk Kecamatan Periuk Kota Tangerang

Rukun Tetangga (RT) role as the smallest unit in the hierarchical structure of Regional Government is very important in guarding and preserving the norm and values of Indonesian people. However, in the management and services delivery at RT level various problems could be happened, such as the long services delivery time, lack of Government and local RT program socialization, and lack of the committee members support facility. A solution offered to solve these problems is by creating e-RT application that can support the services performance of RT officer as well as a means to distribute various Government and RT programs. The Community Service Program (PKM) was then be proposed and implemented with an eight months-time planning. This program got a positive support, both from the UMN Research and Community Service Institution (LPPM UMN) and the community that become the partner for this program, i.e., RT 06 in Periuk village, Periuk subdistrict, Tangerang City. The final result of this program is an e-RT application based on mobile web app, which can be easily accessed by all community members. In this article, the application evaluation is described by referring the WEBQUAL 4.0 instrument with 80.29% result

Big 5 ASEAN capital markets forecasting using WEMA method

ASEAN through ASEAN Economics Community (AEC) 2020 treaty has proposed financial integration via capital markets integration in order to aim comprehensive ASEAN economic integration. Therefore, the need to have a proper prediction of ASEAN capital market becomes a major issue. In this study, we took big 5 ASEAN capital markets, i.e. Straits Times Index (STI), Kuala Lumpur Stock Exchange (KLSE), Stock Exchange of Thailand (SET), Jakarta Stock Exchange (JKSE), and Philippine Stock Exchange (PSE) to be forecasted using WEMA method. Weighted Exponential Moving Average (WEMA) is a new hybrid moving average method which combines the weighting factor calculation in Weighted Moving Average (WMA) with the procedure of Exponential Moving Average (EMA). WEMA has successfully been implemented and used to forecaste discrete time series data, but never being used to forecast ASEAN capital markets. In this study, we took further action by implementing the WEMA method with brute force approach for scaling factor tuning on big 5 ASEAN capital markets. From the experimental results, we found that WEMA has successfully forecasted all those exchanges. By looking at the forecast error measurement, it gives the best performance on PSE and worst performance on SET dataset among all datasets being considered in this study

Nolong.in: an android based incident notification application with push notification technology

In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety

optimasi publikasi informasi akademik bagi mahasiswa dengan aplikasi blackberry berbasis push technology (studi kasus: universitas multimedia nusantara)

Revolution of academic information publishing in education sector, especially in tertiary level could be made possible by the ease of the internet connection. Universitas Multimedia Nusantara (UMN) utilizing web portal, Enterprise University Information System (EUIS) to meet the demand. New academic information can be updated by uploading data to the EUIS and latest update could then be notified through RSS feed notification. However, due to low level of RSS feed usage, which is 6% and the significant number of Blackberry smart phone user amongst UMN student, a more optimal notification system is needed to alleviate the process of transferring information across. A new application, named UMN Info using Blackberry push technology could resolve the challenge. This application was developed and designed based on Waterfall process model. Research shows high percentage of success rate, of up to 96%, to transfer information across from the server to the pre-installed application on students’ Blackberry handheld. This new application works better to convey the latest academic information by optimizing the quality and quantity published information by 48%

Central Jakarta Rainfall Intensity Forecast using Single Exponential Smoothing

Rainfall is the precipitation amount that is falling from clouds. In extreme conditions, rainfall could arise many problems. It is the leading cause of landslides and flood disasters. In D.K.I. Jakarta, the capital city of Indonesia, rainfall intensity plays a very vital role since it could easily be puddled and caused floods in many areas. Therefore, in this study, we try to make a rainfall intensity prediction in Central Jakarta using a very popular forecasting method, i.e., the Single Exponential Smoothing (SES). Based on the experiments conducted using Phatsa, it can be concluded that the SES method has been successfully used to predict rainfall intensity. However, it cannot give a very good prediction result due to its high forecast error values

Development of Gameplay Design for Renewable Energy Learning based on Augmented Reality

In this paper, a gameplay design for children is proposed in order to learn renewable energy topics. This game is developed through a flashcard consisting of 6 types of renewable energy plants located in Indonesia. This prototype is also involved augmented reality technology to provide information on a number of cards such as a brief explanation of each renewable energy theory and the game points. The whole process of this serious game could motivate users, especially for children to attain a sense of achievement for understanding renewable energy pleasantly

Performance Analysis of Conventional Moving Average Methods in Forex Forecasting

Time series forecasting is one of the main goals of time series analysis, whether it uses conventional, advance, or hybrid method. One of the most popular and commonly used methods is the moving average (MA) method, which comes with so many variations. Some of the basic and well-known MA methods are simple moving average (SMA), weighted moving average (WMA), and exponential moving average (EMA). In this study, we would like to do a performance analysis of those methods, especially in Forex transaction data. Three major currency pairs been used in this research are EUR/USD, AUD/USD, and GBP/USD, with a total of 1,287 records. From the experimental results taken, we have EMA as the best MA method, followed by WMA and SMA consecutively. It is shown by using mean square error (MSE), mean absolute percentage error (MAPE), and mean absolute scaled error (MASE) that EMA has the smallest average values for all three forecast error measurements, i.e. 0.000051927 for MSE, 0.44720 for MAPE, and 1.07697 for MASE

Phatsa: A web-based application for forecasting using conventional moving average methods

Forecasting with time series was made by hypothetical study that historical data related with the future data. Moving average (MA) is one of the well-known methods to be used in forecasting technique. Although there are several methods that already developed like soft computing and modified methods, conventional moving average methods still implemented in recent researches because of its simplicity. This study conducts a development of web-based application called Phatsa (PHP Application for Time Series Analysis) that implements three conventional moving average methods, i.e. the SMA, WMA and EMA. All the calculation tested in 100-5000 rows of time series dataset with the maximum calculating time below 0.4 seconds. Calculating time is relatively linear with the complexity of its equation, EMA has the biggest amount of time while SMA has the lowest one

AQI Measurement and Prediction using B-WEMA Method

Air is one of the main key factors for all living beings in the world. Despite its importance, air can be easily polluted by many pollutants that can pose a great threat to human health. Therefore, the air quality index became a crucial tool to measure the air quality in one area and regaining its popularity among researchers. In this study, we focus on the AQI measurement and prediction based on historical data for the Central Jakarta region. PM2.5 as one of the most commonly used elements in AQI measurement was used in this study. With a total of 744 data records of PM2.5, which was pre-processed to 723 records, B-WEMA method was implemented to predict the future value. Based on the experimental results, B-WEMA had successfully predicted the future values of Central Jakarta AQI. It had the highest accuracy level compare with Weighted Moving Average, Exponential Moving Average, and Brown’s Double Exponential Smoothing methods