User Efficiency Model in Usability Engineering for User Interface Design Refinement of Mobile Application

Designers are often confronted with challenges or difficulties when designing user interfaces for mobile applications. The information must be clearly delivered to the user and also have an aesthetic appearance and good discoverability. One widely used method for conveying information is directing user attention to a component that is related to his or her task. We propose a recommender system by considering user efficiency in a user attention model. It can give suggestions for designers to improve the appearance of the most efficient component. This recommender system is aimed to help designers in the iteration process of usability engineering, especially to direct user attention to the most efficient component. This system analyzes actual user attention and then refines the user interface based on the energy of each component compared with the baseline energy. Our proposed model successfully increased the efficiency of a mobile learning application from 83.65% to 85.58% and improved discoverability of the most efficient component, thus reducing the task completion time

Tsunami Impact Prediction System Based on TsunAWI Inundation Data

It is very important for tsunami early warning systems to provide inundation predictions within a short period of time. Inundation is one of the factors that directly cause destruction and damage from tsunamis. This research proposes a tsunami impact prediction system based on inundation data analysis. The inundation data used in this analysis were obtained from the tsunami modeling called TsunAWI. The inundation data analysis refers to the coastal forecast zones for each city/regency that are currently used in the Indonesia Tsunami Early Warning System (InaTEWS). The data analysis process comprises data collection, data transformation, data analysis (through GIS analysis, predictive analysis, and simple statistical analysis), and data integration, ultimately producing a pre-calculated inundation database for inundation prediction and tsunami impact prediction. As the outcome, the tsunami impact prediction system provides estimations of the flow depth and inundation distance for each city/regency incorporated into generated tsunami warning bulletins and impact predictions based on the Integrated Tsunami Intensity Scale (ITIS-2012). In addition, the system provides automatic sea level anomaly detection from tide gauge sensors by applying a tsunami detection algorithm. Finally, the contribution of this research is expected to bring enhancements to the tsunami warning products of InaTEWS

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

This paper presents how to characterize the quality of multimedia which consists of audio and video that are transmitted in real-time communication through the Internet with limited bandwidth. We developed a methodology of characterizing the multimedia Quality-of-Service (QoS) by measuring network parameters (i.e., bandwidth capacity, packet loss rate (PLR), and end-to-end delay) of testbed network and simulating the audio-video delivery according to the measured network parameters. The analysis of network parameters was aimed to describe the network characteristics. Multimedia QoS was characterized by conducting a simulation using data which was collected from the previous network characterization. A simulation network model was built using OMNet++ representing a delivery of audio-video in real-time while a background traffic was generated to represent a real condition of the network. Apllying the methodology in a network testbed in Indonesia’s rural area, the simulation results showed that audio-video could be delivered with accepted level of user satisfaction

Passive Available Bandwidth Estimation Based on Collision Probability and Node State Synchronization in Wireless Networks

In wireless networks, available bandwidth estimation is challenging because wireless channels are used by multiple users or applications concurrently. In this study, we propose a passive measurement scheme to estimate the available bandwidth in 802.12 wireless networks based on the combination and modification of two existing schemes, Distributed Lagrange Interpolation Based Available Bandwidth Estimation (DLI-ABE) and Accurate Passive Bandwidth Estimation (APBE). The proposed scheme uses the channel busy state, which is affected by transmitting or receiving processes caused by carrier sensing. Therefore, the sender and the receiver node should be synchronized using various states that can be affected by other nodes. Moreover, the proposed scheme was developed with the involvement of relevant calculation of possible overhead caused by control messaging that occurs in the Media Access Control (MAC) layer and collision probability caused by data flow from hidden nodes. The result showed that the proposed scheme can estimate the available bandwidth of wireless networks more accurately than DLI-ABE and APBE

WSN-IoT Forecast: Wireless Sensor Network Throughput Prediction Framework in Multimedia Internet of Things

Accurate throughput predictions can significantly improve the quality of experience (QoE), where QoE denotes a network’s capacity to provide satisfactory service. By increasing the results of good throughput predictions, the best strategy can be planned for managing data transmission networks with the aim of better and faster data transmission, thereby increasing QoE. Consequently, this paper investigates how to predict the throughput of wireless sensor networks utilizing multimedia data. First, we conducted a comparative analysis of relevant prior research on the topic of throughput prediction in Multimedia Internet of Things (Multimedia IoT). We developed a throughput prediction framework for wireless sensor networks based on what we learned from these studies using machine learning. The Throughput Prediction Framework identifies historical throughput data and employs these traits to predict throughput. In the final phase, multiple camera nodes and local servers are utilized to test a framework for throughput prediction. Our analysis demonstrates that WSN-IoT predictions are quite precise. For a 1-second time breakdown, the average absolute percentage error for all investigated scenarios ranges from 1 to 8 percent

Model Keberhasilan Dan Keberlangsungan Kinerja Terbaik (Mk3t) Sistem Informasi Studi Kasus: Sistem Informasi E-audit Di Badan Pemeriksa Keuangan RI

Badan Pemeriksa Keuangan Republik Indonesia (BPK RI) mengembangkan sistem informasi (SI) e-audit dengan strategi me-link and match-kan e-BPK dan e-auditee. SI e-audit mendorong pelaksanaan pemeriksaan laporan pertanggungjawaban keuangan negara dilakukan secara lebih efektif dan efisien. Namun, data statistik menunjukkan bahwa lebih dari 70% program Perubahan yang sifatnya second order mengalami kegagalan. Kegagalan tersebut terjadi akibat besarnya resistansi dari berbagai pihak yang terdampak oleh Perubahan tersebut. Tujuan penelitian ini untuk mengembangkan Model Keberhasilan dan Keberlangsungan Kinerja Terbaik (MK3T) Sistem Informasi. Model ini diperlukan untuk menjamin bahwa SI yang dibangun BPK RI akan berjalan dan mempunyai kinerja optimal dalam jangka panjang. Model tersebut dikembangkan berdasar kombinasi antara model organization health index (OHI) dan model DICE. Penelitian dilakukan dengan metode campuran, diawali dengan penyebaran kuisioner. Responden dipilih dengan metode purposive sampling, yaitu para pemeriksa di BPK RI. 100 sampel memenuhi syarat untuk dilakukan pengolahan data statistik dengan metode Structural Equation Modelling (SEM) SmartPLS versi 2.0. Lima elemen yang berpengaruh signifikan terhadap keberhasilan dan keberlangsungan kinerja SI e-audit, yaitu: leadership, culture & climate, capabilities, motivation, innovation & learning. Nilai t-statistik lima elemen tersebut adalah 2,38; 2,00; 2,36; 2,22; 3,10. Nilai tersebut lebih besar dari nilai t-tabel dengan tingkat signifikansi 95% (α:0,05=1,96) yang merupakan batas nilai pengaruh sebuah variabel untuk dinyatakan berpengaruh signifikan

Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

The gap between business services and IT services becomes a major concern in services computing. As an approach for service-based IT solution, services computing systems are promised to be able to bridge the gap between these services. The implementation will require an engineering framework as a guide to building the systems. The framework needs to be evaluated to provide important feedback to the framework development. This paper outlines the evaluation of SCSE framework through an acceptance model. The study develops an acceptance model based on the experiences of a group of engineers after using the framework to build smart campus services systems. A survey involving 54 systems engineers with various engineering backgrounds was conducted to assess the experiences of the engineers in using the framework. The results of the acceptance model show that both perceived ease of use, represented by the level of agreement (υ1) and perceived usefulness, represented by the level of importance (υ2) deliver good results almost for the entire stages of the proposed framework. In addition, the user experiences of using the proposed framework are in the acceptable levels. The contribution of this paper is an enrichment of the engineering methodologies for the service-oriented system from the perspective of services computing

Optimizing Low Speed VoIP Network for Rural Next Generation Network (R-NGN)

In this paper, we identify some impairments in the Voice over Internet Protocol (VoIP) networks and quantify the levels of voice quality. We propose an optimization model to maximize number of calls in low speed network for Rural Next Generation Network (R-NGN) while maintaining a minimum level of voice quality. The model is based-on Extended E-model to select parameters like voice coder, packet loss level, jitter buffer size, and network utilization. The optimum VoIP access network is achieved by applying G.723.1 5.3 kbps voice coder, packet loss level less than 1%, jitter buffer 50 ms, and network utilization less than 85%

Buku pintar internet teknologi multimedia over internet protocol/ Bandung

xi, 108 hal. : ill, lamp. ; 18 cm