International Journal on Advanced Science, Engineering and Information Technology
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Modelling Spatio-Temporal of Mangrove Ecosystem and Community Local Wisdom in Taman Hutan Raya (Tahura), Ngurah Rai, Bali
Get PDFTaman Hutan Raya (Tahura) Ngurah Rai Bali has a vital role in providing environmental services in supporting the tourism in Bali. This research aims to find out the condition of area and density of mangrove and local wisdom conditions of the surrounding community in support of mangrove conservation in Tahura Ngurah Rai Bali. Identification of mangrove using band composites of NIR+SWIR+RED. The method of separating mangroves and non-mangroves using a supervised classification, while the mangrove density calculation using the Normalized Difference Vegetation Index. Literature review and descriptive analysis were also conducted to determine the conditions of local wisdom. The results of the accuracy test of mangrove mapping obtained the accuracy Kappa by 79%. The condition of the mangrove from 1995-2015 has an increase in the area of 27.87 Ha or about 0.22%, while in 2015-2019, it suffered a decrease in the area of 7.2 Ha or 0.06%. Mangrove density in the north and southwest of the research location changed from medium to high density. In 2015, new mangrove cover was found in the two regions, indicating mangrove rehabilitation efforts. This effort is supported by the community's local wisdom, who appreciate mangroves' existence in their area. The community's local wisdom is an essential part of community social capital in mangrove conservation, which can be seen from several aspects, including trust and solidarity, collective aspects and cooperation, and empowerment and political aspects
Automatic Assessment of Technology Readiness Level Using LLDA-Helmholtz for Ranking University
Get PDFThe assessment process of Technology Readiness Level using the questionnaire-based tool for Indonesian university's academic papers is considered to be labor-intensive. This paper introduces a new method of determining the TRL of an academic paper based on a text mining technique. The content of the research paper represented by their abstract published by university lecturers is justified to represent the technology maturity of research. Abstracts of papers were collected from the nine most reputable universities in Indonesia. By utilizing Labelled Latent Dirichlet Allocation, the abstracts were categorized into 1 of 9 levels of TRL. To determine the prior label of LLDA, we built a corpus of keywords representing each TRL level based on Bloom Taxonomy. Beforehand, Helmoltz principle was utilized to select the text feature. Since Bloom Taxonomy has only six levels, we split the keywords into 9 level. Afterward, the reputation score is calculated using our formula. Lastly, the university ranking is generated according to the extracted academic reputation score. To evaluate the proposed method, we compare our rank with QS’s. We calculate the ranking gap and Pearson correlation to evaluate the result. Helmholtz has successfully pruned 86% of features. The utilization of Helmholtz significantly improves the Pearson correlation of our proposed method. In short, the new insight of university ranking introduced in this work is promising. For all indicator experiments, LLDA-Helmholtz performed better results indicated by 0.95 Pearson correlation between two rankings, while for LLDA without Helmhotz, the correlation is 0.78
An Ontology Framework for Generating Requirements Specification
Get PDFRequirements engineering is the initial process of software development that critically determines the overall software process quality. However, this process is error-prone. This is generally related to the factors of communication, knowledge, and documentation. With the lack of business knowledge, it is complicated for (technical) engineers to define customer needs. Also, modeling and documenting requirements need much time and effort to ensure that the requirements are valid, and nothing is missed. The current approach of the requirements modeling process mostly focuses on the Unified Modeling Notation (UML) use case, that not provide enough information for a stakeholder to define system requirements. The generated SRS is still lack of detail development guideline that increase risk of development error. The purpose of this research is to guide for the elicitation process to avoid missing and mismatch requirements, and to make the modeling and documentation process more effective and efficient. We propose an ontology framework for generating requirements specification. This framework, namely the Rule-Based Ontology Framework (ROF) consists of two main processes: First, requirements elicitation. This step provides a guideline for the stakeholder to define system requirements based on the problem of the current system and business process enhancement. Based on this final requirement list, the requirements ontology is generated. Second, the auto-generation of the requirements specification document. The document consists of semi-formal modeling and natural language. In this research, we use Business Process Modeling Notation (BPMN) is a modeling language. For natural language documents, we use IEEE for the SRS template
Adopting ISO/IEC 27005:2011-based Risk Treatment Plan to Prevent Patients Data Theft
No full textThe concern raised in late 2017 regarding 46.2 million mobile device subscribers’ data breach had the Malaysian police started an investigation looking for the source of the leak. Data security is fundamental to protect the assets or information by providing its confidentiality, integrity and availability not only in the telecommunication industry but also in other sectors. This paper attempts to protect the data of a patient-based clinical system by producing a risk treatment plan for its software products. The existing system is vulnerable to information theft, insecure databases, needy audit login and password management. The information security risk assessment consisting of identifying risks, analyzing and evaluating them were conducted before a risk assessment report is written down. A risk management framework was applied to the software development unit of the organization to countermeasure these risks. ISO/IEC 27005:2011 standard was used as the basis for the information security risk management framework. The controls from Annex A of ISO/IEC 27001:2013 were used to reduce the risks. Thirty risks have been identified and 7 high-level risks for the product have been recognized. A risk treatment plan focusing on the risks and controls has been developed for the system to reduce these risks in order to secure the patients’ data. This will eventually enhance the information security in the software development unit and at the same time, increase awareness among the team members concerning risks and the means to handle them
Estimating Damaged Volume of Historic Pagodas in Bagan after Earthquake using 3D Hough Transform
Get PDFOn 24th August 2016, the magnitude of a 6.8 earthquake struck in Bagan from the depth of 52 miles. This earthquake caused much damage in historic pagodas in Bagan, one of the archeological houses in Asia. Analyzing the affected areas is an essential task for the restoration and reconstruction of historic buildings after a disaster. Traditional methods of detecting damage to buildings focus on detecting 2D changes (i.e., only the appearance of the image), but the 2D information provided by the image is not sufficient when it involves detecting damage to buildings is often not precise. For finding out the solution, a method of 3D change detection is needed for estimating the volumes of damaged pagodas after the earthquake. The proposed system aims at producing a quick assessment of the damaged pagodas accurately and correctly. This system estimates the damaged volume of the pagoda based on the nature of the 3D point clouds. Post-earthquake photos are taken using an anonymous aircraft (UAV) and point cloud data is generated using VisualSFM software. The 3D Hough transform is used to find the intersection of the tower vertex and the 3D vertex at the line boundary. Besides, the proposed system can detect the reformed structure of the entire pagoda. The results show that the proposed approach facilitates the automated 3D detection of damaged pagodas and is a time-saving method for estimating the volume of damage caused to precious historic pagodas after a disaster
Sedimentation Management Strategy in River Estuary for Control the Water Damage in Downstream of Ayung River
Get PDFThe Ayung River Basin is the largest watershed on Bali Island. Ayung River flows from Lake Batur and empties into Padanggalak beach. River estuary is an area of sediment material deposition that will form an alluvial formation. The deposition of sediment at the river estuary is due to the influence of river flow, tidal, and wave action on the beach. Sediments that settle at the river estuary can obstruct water flow to the sea, which can cause backwater and flooding to the mainland. The strategy of controlling sediment deposition in the river estuary is essential to reduce the water damage in the downstream area, which is usually used as a tourism area. Ayung River Estuary is one of the estuaries that experienced a massive deposition; on the other hand, the Ayung River Estuary is widely used as a tourism area. The data used are primary and secondary—primary data obtained by a survey to the location and secondary data obtained from supporting data for analysis. Sedimentation occurs in the Ayung river estuary. It is due to soil type, topography, and hydro oceanographic condition. Besides, changes in the regional functions, such as temple construction, also affect the sedimentation process in the estuary. Sedimentation management strategies that can be carried out for the Ayung River estuary are the first is with the jetty construction method, which begins with the normalization of the downstream river, and the second is maintenance dredging, which is carried out through cooperation between the government and the community. Besides being used as sediment control, the jetty that was built can be developed as a tourist location around the estuary area
Experimental and Analytical Investigation of Hybrid Layer Thickness Effect on Replacing the Rebar for Reinforced Concrete Beams
Get PDFMany researchers emphasize the effectiveness of steel fiber to replace the reinforcing bar in the reinforced concrete structural elements. The fiber of different types, sizes and geometries have been added to the concrete mix with a pozzolanic material to produce Ultra-High Strength Concrete (UHSC), which has excellent properties, high strength, and durability. This paper is a lab work and theoretical study consisting of casting and testing. Twenty-one simply supported RC beams to examine the beam's behavior and the shear capacity with the full or partial depth of UHSC with or without steel fibers (UHSSFRC) for replacing the reinforcing bars. The beams were divided into five groups. Preliminary experiments tests were conducted and carried out to study hardened properties of concrete such as (compressive strength, splitting tensile strength, modulus of rupture and modulus of elasticity). The selected finite element program (ANSYS) was applied to model all tested beams. It was observed that the performance of the finite element representation gives and shows good agreement with the lab work results. The test consists of failure load, deflection, cracks and failure mode. The experimental laboratory work results showed that for (1% steel fiber with reinforcement ratio Ï=0.0105 full UHSC layer) was able to give the same shear capacity for beam with (reinforcement ratio Ï=0.0157 regular concrete), while for (2% steel fiber half UHSC layer and reinforcement ratio Ï=0.0105) was able to give the same ultimate shear loads of beam with (reinforcement ratio Ï=0.0157 normal concrete). This research reveals that the hybrid layer and steel fiber effects were able to substitute for a higher reinforcement ratio with the same shear capacity.Â
Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System
Get PDFPresent study investigating the use of wireless sensor networks (WSNs) in the assessment of bridge condition as well as early warning system. The WSNs are used to measure the acceleration occurred on the bridge and the mode shape of the bridge as the excitation loads passing through the bridge. Fast Fourier Transform (FFT) is applied to transform the measured acceleration to get the frequency of the bridge dynamic response. Numerical integration is applied to determined the acceleration to get the displacement of the bridge dynamic response. Implementing structural dynamics equation, the effective stiffness of the bridge can be determined using the frequency. The effective stiffness and the bridge dynamic response are then used to obtained the bridge condition and load ratings. A scaled model of steel truss bridge and miniature truck with various loads were used to simulate the use of WSNs in bridge assessment, which were also used to validate the finite element model. The finite element model was then used to simulate various scenarios, including the scenarios in which the bridge elements had various level of damages. The behaviors of bridge with various level of damages can be used to identify the location and the level of damages in the bridge and were found to be useful as early warning system for bridges condition and load ratings
A Novel Android Memory Forensics for Discovering Remnant Data
Get PDFAs recently updated on the vulnerability statistics shown in 2019, Android-driven smartphones, tablet PCs, and other Android devices are vulnerable, whether from internal or external threats. Most users store sensitive data like emails, photos, cloud storage access, and contact lists on Android smartphones. This information holds a growing-importance for the digital investigation process of mobile devices, e.g., internal memory or random-access memory (RAM) forensics, or external memory or read-only memory (ROM) forensics on Android smartphones. Internal memory retrieval is considered flawed and difficult by some researchers as it alters the digital evidence in an intrusive way. On the other hand, external memory retrieval also called logical acquisition that implies the image of logical storage items (e.g., files, database, directories, etc.) that locate on logical storage. This research provides a novel methodology that focuses only on internal memory forensic in a forensically sound manner. This research also contributes two algorithms, e.g., collect raw information (CRI) for parsing the raw data, and investigate raw information (IRI) for extracting the digital evidence to be more readable. This research conducted with fourteenth events to be analyzed, and each event was captured by SHA-1 as digital evidence. By using GDrive as the case study, the authors concluded that the proposed methodology could be used as guidance by forensics analyst(s), cyberlaw practitioner(s), and expert witness(es) in the court
Spatial Model of Traffic Congestion by the Changes on City Transportation Route
Get PDFTraffic congestion is a problem for every city in Java Island, Indonesia, including Bogor City. Factors causing congestion in Bogor City are thought to come from land use, the geometry and performance of road, and public transport routes (urban transport). The change of urban transportation (angkot) route carried out by Bogor City Government aims to reduce traffic density and congestion, but it is not a guarantee that the main problem will be solved. This study aims to determine the spatial patterns of traffic density and congestion with current angkot routes and to construct a model to predict traffic density and congestion when new angkot routes are used. Variables in this research are land use (number of schools and markets/malls), geometry and performance of road (vehicle volume, road capacity, average velocity, road type, number of lanes, number of signalled and non-signal intersection), and an angkot route passing a road. The method used in modelling is multiple regression using one dummy variable and a stepwise regression method. The result of modelling shows that the variables affecting traffic density are velocity, some signalled and non-signal intersection, and angkot route with R2 value 66.9%. At the same time, the influential variables in the traffic congestion model are vehicle volume, road capacity, number of the signalled intersection, and angkot route with R2 value 81.4%. To see accuracy in predicting model of traffic density and congestion, Mean Absolute Percentage Error (MAPE) validation is used. The results show a value of 12.46% for traffic density, which means that the model has good prediction accuracy and 5.62% for traffic congestion, which means the model has high prediction accuracy. Thus, in this study, the land use of school and market is not a factor causing traffic density and congestion, while the geometry and performance of roads and public transportation routes as a factor causing congestion