A METHODOLOGY TO SUPPORT EARLY STAGE OFF-THE-SHELF NAVAL VESSEL ACQUISITIONS

This paper describes a research programme to construct a Model-Based Systems Engineering (MBSE) methodology that supports acquiring organisations in the early stages of Off-the-Shelf (OTS) naval vessel acquisitions. A structured approach to design and requirements definition activities has been incorporated into the methodology to provide an easily implemented, reusable approach that supports defensible acquisition of OTS naval vessels through traceability of decisions. The methodology comprises two main parts. Firstly, a design space is developed from the capability needs using Set-Based Design principles, Model-Based Conceptual Design, and Design Patterns. A key idea is to employ Concept and Requirements Exploration to trim the design space to the region of OTS designs most likely to meet the needs. This region can be used to specify Request for Tender (RFT) requirements. Secondly, the methodology supports trades-off between the OTS design options proposed in the RFT responses using a multi-criteria decision making method. The paper includes an example implementation of the methodology for an indicative Offshore Patrol Vessel capability.

Development Mobile Application Android Based for Sensor and Transducer

The aims of this research are: (1) producing a mobile applications android based for sensor and transducer field of study on vocational education; (2) know the quality of the product mobile applications android based for sensor and transducer field study on vocational education. The method used is the Software Development Life Cycle with the Waterfall model. The stages in Waterfall model are: (1) requirements definition; (2) system and software design; (3) implementation and unit testing; (4) integration and system testing; (5) operation and maintenance. The black box test results show the performance of Sensor application software can all function properly. While the results of the compatibility test show the application can run on various android systems (at least Android 4.2).

Dashboard proposal implemented according to an analysis developed in the KNIME platform

The objective of the research is to develop a methodology to analyze a set of data extracted from a Learning Management System (LMS), in order to implement a Dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of the analysis of 9,257 records extracted through simple random sampling from a population of 100,000 records. The indicators analyzed were: number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show the data analysis in the KNIME data mining analysis platform, the model was implemented in five phases: Requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customized Dashboard for teachers to identify observable behavioral patterns that allow them to make decisions to improve the teaching-learning processes of students. Keywords: Analytics, dashboard, KNIME Learning, personalized, teaching.

Dashboard proposal implemented according to an analysis developed on the KNIME platform

The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching–learning processes. The methodology used consisted of analysing 9,257 records extracted through simple random sampling from a population of 100,000 records. The indicators analysed were number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show that the data analysis was carried out on the (o Konstanz Information Miner (KNIME) data mining analysis platform, and the model was implemented in five phases: requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customised dashboard for teachers to identify observable behavioural patterns that allow them to make decisions to improve the teaching–learning processes of students. Keywords: Analytics, dashboard, KNIME Learning, personalised, teaching

Design for Product Circularity: Circular Economy Indicators With Tools Mapped Along the Engineering Design Process

Monitoring the circularity potential of products and materials is key to ensure environmental savings and economic profitability of circular economy loops, such as reuse, remanufacturing, or recycling. The choices and decisions made during the product design phase have a major influence and impact on the circularity performance of products. While numerous indicators and tools have been recently developed to assess, manage, and accelerate the transition to a more circular economy, their application and usability during the early design phases of products are often overlooked. Based on a screening of several tens of circular economy indicators, the present research work identified twelve product-centric circularity indicators, each of them coming with a computational tool, to be deployed during the design process in order to improve the circularity potential of products. To help designers and engineers selecting the appropriate solution, these circularity indicators and tools are positioned on a generic five-step design process, namely: requirements definition, conceptual design, detailed design, designs comparison, product monitoring and communication. Concrete examples are given on how these indicators and their assessment framework can support the design of more circular products. Current shortcomings of available approaches are finally highlighted and discussed (such as the lack of c-indicators for the detailed design phase or linkage with computer-aided design software) for an augmented integration of such promising circularity indicators and their associated tools within the design and development process of products.

Rancang Bangun Website Majelis Jemaat GKE Bumi Palangka (MJBP) PHP dan MySQL

GKE Bumi Palangka Congregation Council is the leader of the Church Congregation in Palangka Raya which houses four churches, of course, has a large accumulation of congregations. One of the duties and jobs of the GKE Bumi Palangka Congregational Daily Working Body (BPH MJBP) is to regulate the stewardship of the Church and to collect data on the congregation every year. The problems that exist in the Bumi Palangka GKE Congregational Assembly are the Jamaat's service system and the data has not been computerized and integrated and the lack of media to share or disseminate information that is in the Bumi Palangka GKE Congregational Assembly. In designing the website of the GKE Bumi Palangka Congregational Assembly, themethod is used waterfall with stages, Requirements Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, Operation and Maintenance. The software used in building this website is Visual Studio Code, MySQL, and XAMPP. This website has been tested with blackbox testing which results in that the features on the website can run well. This MJBP Website Design was developed with the aim of planning, supervising, directing and delegating work to all service departments that have a relationship or coordination. As well as managing computerized church and congregation data so as to produce congregation information such as recapitulation reports

Methods to align program system requirements with enterprise strategy and infrastructure

The paper addresses the problem of achieving alignment of information system requirements and business strategy and infrastructure. Themost popular strategic alignmentmodels and enterprise architecture frameworks are reviewed. The role of these models and frameworks in the process of requirements definition and the ways to utilize them to achieve the alignment are analyzed.

Desain Business Intelligence untuk Manajemen Rumah Sakit

Organizational management, as well as hospital management, could not work precisely without defining the performance indicators to control all business process. This situation encourages the need for information and data analysis availability. BI includes applications, infrastructure, tools and practices that enable organizations to access and analyze data and information to improve and optimize the decisions and organization performance. BI has the potential to improve the quality, efficiency and effectiveness of hospital health services as well. The objective of this study was to design business intelligence prototype for the hospital. BI design was carried out with a Business Intelligence Roadmap approach which has 6 main stages, namely: (1) Justification, (2) Planning, (3) Business Analysis, (4) Design, (5) Construction and (6) Deployment. Data were collected from hospital activities includes registration, Electronic Medical Record (EMR) in the Imaging, Laboratory, Pharmacy, Operating Theater and Medical Check-Up departments activities. Designing BI was preceded by identifying technical and non-technical needs, then continued by designing BI itself. BI roadmap approach was used for this propose. Technical requirements for designing BI include hardware and software infrastructure readiness, while non-technical requirements include Business Analysis which consists of Project Requirements Definition, Data Analysis, Application Prototyping and Metadata repository Analysis. Designing BI itself includes: Designing a multidimensional database and designing ETL. The user interfaces for BI was shown in the Performance Dashboard, which allows organizations to track all aspects of their daily business activities and performance.

Conceptual Design and Energy Storage Positioning Aspects for a Hybrid-Electric Light Aircraft

This work focuses on the feasibility of a 19-passenger hybrid-electric aircraft, to serve the short-haul segment within the 200-600 nautical miles. Its ambition is to answer to research questions, during the evaluation and design of aircraft based on electric propulsion architectures. The potential entry into service of such aircraft is foreseen in 2030. A literature review is performed, to identify similar concepts developed globally. After the requirements' definition, the first level of conceptual design is employed. Following a set of assumptions, a methodology for the sizing of the hybrid-electric aircraft is described, to explore the basis of the design space. Additionally, a methodology for the energy storage positioning is provided, highlighting the multidisciplinary aspects between the sizing of an aircraft, the selected architecture (series/parallel partial hybrid) and the energy storage specifications. The design choices are driven by the aim to reduce CO2 emissions and accommodate boundary layer ingestion engines, with aircraft electrification. The results show that it is not possible to fulfil the initial design requirements (600 nmi) with a fully-electric aircraft configuration, due to the far-fetched battery necessities. It is also highlighted that compliance with airworthiness certifications is favored by switching to hybrid-electric aircraft configurations and relaxing the design requirements (range, payload, battery technology). Finally, the lower degree of hybridization (40%) is observed to have higher energy efficiency (12% lower energy consumption and larger CO2 reduction), compared to the higher degree of hybridization (50%), with respect to the conventional configuration.

Adoption of COBIT 5 Framework in Risk Management for Startup Company

The research method used is qualitative, where data collection is done by interviewing informants related to risk findings and identification of the root of the problem using fishbone analysis with category 6M (Man, Money, Machine, Material, Method, Measurement). The results of the identification of the root causes are included in the risk quadrant with the risk probability categories (high, medium, low) and risk impact categories (high, medium, low). After getting the data needed, the stages of creating a risk management model that is mapping the results of identifying the root causes with the COBIT 5 framework. The results of interviews related to the risks experienced by small and medium enterprises obtained as many as 19 risks and the results of fishbone analysis (identification of the root causes) obtained as many as 48 root causes, but this study took a quadrant I-VI with a total of 24 root causes. This research produces a risk management model in the form of COBIT 5 process that is in line with the root of the problem that occurs in small and medium-sized enterprises, namely EDM03 (Ensure Risk Optimization), APO12 (Manage Risks), BAI02 (Manage Requirements Definition), DSS05 (Manage Security Service) , MEA02 (Monitor, Evaluate and Assess the System of Internal Control).