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Requirement Analysis and Solutions for Incoming and Outgoing Mail System for Local Water Company in Palembang, Indonesia
No full textRequirements analysis (requirements engineering) is the process of determining user expectations for a new or modified product. It is usually a team effort and demands a variety of human soft skills, such as critical thinking, communication, and judgment. The research that we carried out is about email communication that needs to be established in a local water company namely PDAM Tirta Musi Palembang due to the lack of a fast, low-cost, accessible platform of communication in the company. Email communication or correspondence is essential because they are a reliable, valid, and authentic source of information This research aims to determine the requirement analysis and solutions in the form of procedures for managing incoming and outgoing mail at a local water company, namely PDAM Tirta Musi Palembang. The method that we used was descriptive observation and analysis, data collection techniques carried out by interviews, observation, and documentation review. Our study shows that the solutions to the current problem can be reduced by developing an incoming and outgoing email management system. Based on the user evaluation results, the perspective of usability and security of this system is necessary
Bioethanol Mixture for Diesel Engines
No full textIn the article, the increase of environmental and epidemiological problems in parallel with the decrease of hydrocarbon fuel reserves, as well as the constant increase in the price of traditional energy resources in recent years, the increasing demand for renewable energy sources in the world, the increase in the demand for fuel mixtures, and the problems of updating the methods of their preparation, and the main fuels the fact that the application of bioethanol addition technology has led to an increase in the amount of water, it is dedicated to the solutions to accelerate the corrosion of metal. In addition, the article is devoted to determining the amount of bioethanol added to diesel fuel, mixing time and temperature depending on the parameters of density and viscosity in the formation of a mixture of diesel and bioethanol fuel
Image Fusion Methods and Applications: A Review
No full textImage fusion is the process of fusing several input images into a single output
image that better describes the scene than any of the input images could on their own. The
requirement for image fusion is to achieve high resolution on panchromatic, multispectral,
or actual-world images. There are numerous ways to combine images, as well as some
approaches, including IHS, PCA, DWT, Laplacian pyramids, Gradient Pyramids, DCT, and
SF. In a variety of applications, various digital image fusion algorithms have been created.
An image that includes more information for human visual perception and is more valuable
for additional vision processing is the result of image fusion, which pulls information from
many images of a given scenario. Additionally, it wants to examine how image fusion
methods are evaluated for quality. The concept, principles, restrictions, and benefits of each
of the grey-scale picture fusion algorithms are reviewed and are then investigated at the pixel
and feature levels
Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators
No full textArtificial intelligence (AI) and its impact on society have received a great deal of
attention in the past five years since the first Stanford AI100 report. AI already globally
impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. However, with regard to
education, adopting in disciplines remains limited largely to Computer Science and Information Technology in postsecondary education. Recent advances with technology are especially promising for their potential to create and scale personalized learning for students, to
optimize strategies for learning outcomes, and to increase access to a more diverse population. Research has confirmed that the current use of AI in education (AIEd) leads to positive
outcomes, including improved learning outcomes for students, along with increased access,
increased retention, lower cost of education, and decreased time to completion. Future uses
of AI will include the following: enabling engaging and interactive education anytime and
anywhere; personalized AI mentors that will help students identify and reach their goals;
and mass-personalization that will allow AI to be tailored to each student’s learning style,
level, and needs. Yet with all the potential benefits that AI and machine learning (ML) may
provide students, there remains a general reticence to adopt this technology because of misconceptions and perceptions that elementary educators will need expensive equipment, robust support from IT, or to retool and learn programming or coding. As such, this study
seeks to identify current perceptions early childhood, and elementary educators in the state
of Missouri, USA have towards AI in general; the policies, training and existing resources
in districts regarding technology in general and AI in particular; relative comfort with technology and willingness of educators to adopt new technologies for classroom instruction;
and perform a needs assessment for necessary infrastructure, including reliable internet access, hardware and software. Results indicate a broad acceptance and willingness to adopt
AI in daily activities and classroom instruction, but barriers to entry were identified as lack
of resources and training
Analysis and Visualization of Incoming and Outgoing Mail Information System Based on Responsive Design
No full textThe proliferation of information technology has made all aspects of human existence dependent
on technical advancements. This includes the Jakabaring Subdistrict of Palembang, the place
where we conduct our study. The incompetent management of the archive storage facility for
incoming and outgoing mail is the issue facing the Palembang City Jakabaring Sub-district Office.
After doing a thorough analysis, we conclude that there's no mechanism in place to handle the
incoming and outgoing mail archives. Therefore, to help officers in the Jakabaring Subdistrict of
Palembang generate reports more successfully, we offer a solution in the form of an application
that visualizes incoming and outgoing mail data. The traditional Waterfall approach is the
foundation of our solution. Requirement analysis, system design, WAR server, and system testing
are the techniques used to implement the solutions. The study's findings suggest that officers may
find it simpler to handle incoming and outgoing mail archives if they use a web-based application
syste
Effect of Fabrication Methods on The Density and Impact Strength of Brake Pad Composites for Railway Application
No full textRailway brake pads, which are essential components of braking systems, are
commonly manufactured using metallic or composite materials. Nevertheless, these
technologies come with disadvantages such as a restricted lifespan and heightened intricacy
during installation. The objective of this project was to create composite brake pad materials
to minimize the utilization of metal brake pads and reduce the demand for imports. The study
entailed fabricating brake pad samples with a composite material. The study produced railway
brake pad samples by combining epoxy, hardener, rice husk, aluminium oxide, and iron
oxide. The components were blended and subsequently put into a mold, where they were
compacted to form compression molding products. The specimens were divided into sections
to comply with the density and impact testing requirements set by American Society for
Testing and Materials (ASTM). The obtained products were evaluated by a Charpy impact
test and an electronic density meter. The study demonstrates that the manufacturing procedure
has a substantial effect on the density of composite specimens. The hand layup result exhibits
a density of 1.230 g/cm3
, the composite specimen produced using compression molding
possesses a density of 1.696 g/cm3
. The compression molding technique results in a 38%
increase in density compared to items made using the hand lay-up method. Applying high
pressure and temperature during compression hot molding improves the bonding between
fibers and the matrix, reduces the presence of empty spaces, and enhances the overall strength
of the structure. The impact strength of compression molded items exhibits a 27%
enhancement in comparison to hand lay-up products
Classification Algorithms to Determine Students’ Specialization in a Higher Education Institution
No full textOne of the higher education institutions, namely the Faculty of Computer Science of Bina Darma
University in Palembang offers courses in information technology (IT). Database, software, and
network infrastructure are the areas of specialization available through the IT Study Program at
the Faculty of Computer Science. These courses are complementary to those offered at Bina Darma
University. Those areas of specialization must be chosen in the fourth or fifth semester, however,
many students are still confused and unaware of their interests and potential which may lead to
choosing a specialization that does not suit them. In this view, students may not be graduating on
time. The study in this article is inspired by this situation. Our idea is to present a prediction model
that assists faculty in identifying the best specialization for each student. Primary datasets are those
that were gathered from the faculty and include 3599 records with 42 attributes. After that, we
looked at how Python programming classification algorithms like Support Vector Machine
(SVM), Naïve Bayes, Random Forest, and Decision Tree performed in classifying the areas of
specialization of the students. This study demonstrates that the Decision Tree and Naïve Bayes
programs reach high accuracy rates of 98,06% and 92,78%, respectivel
New Design Strategies for Truck Forebody Aerodynamics: A Pressure Contour and Velocity Streamline Analysis
No full textThe research focuses on the application of aerodynamics beyond aviation,
particularly in heavy vehicle design. Traditionally associated with flight, aerodynamic
principles play a vital role in minimizing drag for vehicles and trailers, as well as assessing
wind stresses on various structures. Heavy vehicles, such as tractor-trailers and buses, consume
a significant amount of fuel, and a substantial portion of this consumption is attributed to
overcoming aerodynamic drag. The drag force acting on these vehicles increases fuel
consumption, making it imperative to minimize drag to enhance fuel efficiency and reduce
operational costs. Additionally, reducing drag can lead to improved stability, handling, and
safety of heavy vehicles, further emphasizing the significance of aerodynamics in this context.
The study provides a comprehensive overview of heavy vehicle aerodynamics, exploring the
use of flow-control devices to reduce drag. Computational fluid dynamics (CFD) is employed
to simulate the flow field around trucks, using a steady-state formula to evaluate the software's
effectiveness in modeling contemporary truck aerodynamics. The primary objective is to
enhance the aerodynamic profile of a truck's front end and reduce drag resistance through the
implementation of an appropriate drag reduction system. This paper introduces five new
designs to compare the drag coefficient, drag force, and fuel consumption with the benchmark
design. The results show that Design 1 performs the best among all. The parameters used for
comparison include the drag coefficient, drag force, and fuel consumption, which were
analyzed using computational fluid dynamics simulations and steady-state formula
evaluations. Furthermore, the study discusses future directions for advancing the field,
emphasizing ongoing efforts to improve heavy vehicle aerodynamics and the broader
implications for the transportation industry
Finite Element Analysis of a Wheel Assembly for a Pipeline Corrosion Inspection Robot
No full textA pipeline network is critical in allowing for transportation of matter for various applications. One of the major issues of concern for this area is with respect to corrosion and/erosion of the pipelines. A pipeline corrosion inspection robot is commonly used for reconnaissance purposes. The aim of this study was to determine the stress distribution and the safety factor at the back wheel assembly of the pipeline corrosion inspection robot during operation. The assessment was made with respect to operation within the pipeline and under the pressure of flowing fluid. The back wheel assembly was designed via Computer-Aided Design (CAD) and the Finite Element Analysis (FEA) was conducted via ANSYS Software. The result showed that recorded equivalent stress, total deformation and safety factor of the back wheel assembly are 192.35Ma, 0.06534mm, and 1.43 respectively. Thus, this result clearly indicated that the back wheel assembly is indeed capable in performing operations within the pipeline without experiencing unwanted damage. In short, the design of the back wheel assembly of the pipeline corrosion inspection robot is optimized. For future studies, assessments on the back wheel assembly under various loading conditions could be performed
Features Selection in the Proposed Draft Sheet C1 for General Elections in Indonesia
No full textElections in Indonesia are held every five (5) years. In 2019, the elections were held
simultaneously so that general elections could be carried out efficiently because it reduces time
wastage. In the implementation of the General Election, using sheet C1 as a sheet to fill in the
calculation results, the obstacles that often occur in the implementation of the election are often
technical problems such as filling out the C1 sheet, which is still manual, and error input values.
This study aims to create a new approach using the features in the C1 draft proposal for general
elections to reduce mistakes and manual voting considerations. This study uses an artificial neural
network method as a feature of the numerical value prediction process from the proposed new C1
sheet. The neural network method used is the Backpropagation technique, where the machine will
recognize each number so that the calculation process will be faster. With the election feature, the
C1 design for this gets the results that this feature can detect the writing of numbers accurately
with an accuracy rate of 98%