INTI Institutional Repository
Not a member yet
2178 research outputs found
Sort by
Bibliometric Analysis of Biochar's Use in Surface Water Treatment
No full textThe utilization of biochar holds promise as a viable method for the preservation of water resources and the remediation of wastewater. The objective of this study is to evaluate the advancements achieved in the field of biochar research pertaining to the remediation of surface water. The review was conducted by systematically collecting data from Scopus and doing bibliometric analysis. This study utilized the Scopus database to retrieve data pertaining to countries, institutions, highly cited articles, keywords, emerging subjects, and prospective research directions. Furthermore, the VOSviewer bibliometric software was utilized to assess the scholarly citations in this research paper. The results indicate that significant advancements have been achieved in this area of study during the year 2015. A total of 48 works has been indexed by Scopus, a renowned academic database, across 28 distinct international journals. A significant proportion of researchers primarily operate within the United States, often engaging in collaborative efforts with their counterparts from China. This article attempts to study the bibliography on the biochar for surface water treatment, identify popular topics, and discern the fields of future studies in this discussion. Furthermore, it investigates future research in the field of biochar will primarily concentrate on optimizing the synthesis of biochar and exploring its potential use in the treatment of heavy metals and organic chemicals
Characterization of Sago Starch Based Degradable Plastic with Calcium Carbonate (CaCO3) as Filler
No full textResearch on finding substitute to plastic commercial has received massive attentions
due to the environmental effect of plastic waste. Degradable plastic can be used as an alternate
to synthetic plastic even though the properties especially mechanical characteristic. Sources of
degradable plastic can be starch, cellulose, poly lactic acid, etc. Starch available in large
quantities, cheap and renewable. The purpose of this study was to determine the effect of
Calcium Carbonate (CaCO3) filler on characteristics of sago based degradable plastic. The
degradable plastic properties analyzed were mechanical, chemical, thermal, water absorption
and degradation rate. The preparation of degradable plastics was done in several stages,
starting with the preparation of sago starch, synthesis of degradable plastic and
characterization. Variations of CaCO3 composition and sorbitol plasticizer were used to
observe their effect towards plastic properties. CaCO3 filler variations used were 2, 4, 6, 8%
and sorbitol plasticizer variations were 25, 30, 35%. The highest tensile strength, Young's
Modulus and elongation at break obtained were 6.24 MPa, 89.92 MPa and 154.80%
respectively, at 0.8% calcium carbonate and 35% sorbitol. Fourier Transform Infra Red (FTIR)
test results showed in thermoplastic starch from sago there were more free -OH hydroxyl
groups due to the reduction of atoms that are hydrogen bonded. The absorption peaks in the
range of wave numbers 2931.80 cm-1 indicated the presence of saturated aliphatic
hydrocarbon chains (C-H), wave numbers of 1411.89 cm-1, 1334.74 cm-1, 1207.44 cm-1,
1149.57 cm-1, and 1078.81 cm-1
. It showed typical areas of C-O groups. Most of the
compounds were hydrophilic which binds water, hence can be degraded by microbial activity
in the soil. Thermal characterization using Differential Scanning Calorimetry (DSC)
thermogram test indicated degraded plastic has a thermogram peak at 137.25°C. This peak
indicates physical changes due to the loss of water groups content in plastic. The highest
swelling value was 103.96 % obtained at 2% calcium carbonate and 35% sorbitol. The addition
of CaCO3 filler improved the water resistance properties of degradable plastics. The
degradation of sago starch-based plastics with CaCO3 filler was 16-24 days depending on the
filler composition and has complied with ASTM D-20.96 (degradable plastics should
decompose before 180 days
Analyzing the Requirement of Students’ Advisory System on Campus
No full textThis study addresses the issue of advisory systems among students enrolled in information systems
study programs at Bina Darma University Palembang, Indonesia. These students have complied
with an advisory system, but it is an offline advisory system, which causes some difficulties for
the students and supervisors during the final report-making process. Previous research has
highlighted the importance of an online advisory system that is more flexible, accessible, and
convenient and can be developed using the latest technology. After several investigations, we
propose a system with object-oriented analysis (OOA) and object-oriented design (OOD)
techniques. We suggested a layout that makes use of Rich Internet Application (RIA) technology,
offering responsive and interactive features that enable advisers and students to communicate in
both directions at any time and from any location. Moreover, the RIA includes an online chat
feature that makes it easier for supervisors and students to communicate even when they are not
in the same room. The suggested design for the advising system that we presented in this paper is
the outcome of our requirement analysis
INFLUENCE OF TIKTOK MARKETING ON URBAN YOUTH BRAND LOYALTY IN PENANG, MALAYSIA
No full textSocial media trends are part of today’s society where these technologies can reach out globally to
the consumers which play vital digital marketing campaign role for the companies to create the
tendency of continuing buying from them than other competing companies. Statistics show that
there is an increasing trend of using social media marketing by the marketers that consider the
platform is low cost and can be used to compete in the market. The research aimed to investigate
the popular social media which is TikTok about its marketing activities’ impacts on the urban
youth’s brand loyalty among the Malaysia’s state of Penang. TikTok application is one of the
fastest growing social media platforms and the short video app is popular among younger
generation of users as well. Social media marketing approaches such as entertainment, trendiness,
and electronic word of mouth (eWOM) are used in this study to explore the only dependent
variable which is brand loyalty. Data is collected through online questionnaire from the youth
respondents that have TikTok user account through a snowballing sampling and total of 113
responses were received. Using SPSS software, the data is analyzed to validate measurements and
test the hypothesis. Demographic profile analysis, factor analysis, pilot testing, validity and
reliability test, statistical analysis and regression analysis are presented in the table forms. The
findings and results of this study show that entertainment marketing content and eWOM have
significant influence on brand loyalty. Conversely, trendiness TikTok marketing activities do not
attract Penang youth’s brand loyalty. This study may academically contribute to the companies
that use TikTok platform to determine the dominant factors that influence the consumers’ loyalty
on their brands
Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research
No full textThe advent of large language models (LLMs) and AI learning have fundamentally reshaped the research landscape, paving the way for novel problem-solving approaches. This paper introduces a unique framework that leverages the capabilities of autonomous AI agents with simulated personas to drive collaborative research in groundbreaking ways. Inspired by a recent study of autonomous agents mirroring human behavior, this concept encourages the use of a cadre of AI agents, each possessing specialized expertise for collective endeavors. By replicating human diversity in teamwork, this approach targets complex and hitherto unsolvable issues. The key to this strategy is persona and emotional simulation, enabling these AI agents to facilitate cross- disciplinary and interdisciplinary research within a decentered author model, and providing innovative solutions to wicked problems. Expertise can be drawn upon
from disparate fields, including STEM, business, education, arts and humanities, and more. Enhanced by the advancements in AI research, specifically with LLMs like OpenAI's ChatGPT
3.5 and 4, this model offers profound potential to nurture research culture within universities by identifying barriers and proposing strategies to surmount them, drawing from international models for inspiration. This proposed decentered collaborative research model, despite constraints, holds immense promise in reinventing the research paradig
An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective
No full textSocial media has emerged as a transformative platform for the exchange and dissemination of
information. Unlike conventional sources such as online news, social media often offers more real-time and current updates. Effectively harnessing the vast and diverse pool of unstructured data on
these platforms requires the extraction of structured information. This research focuses on the
development of a social media web crawler, coupled with the implementation of sophisticated
algorithms like Web Content Mining, Noisy Text Filtering, Named Entity Extraction, Part-Of-Speech (POS) Tagging, and Text Clustering. The aggregated information will be utilized to train
a machine learning model capable of discerning a customer's preferred insurance type—be it
accident, health, car, or life insurance. The overarching objective is to provide insurance
companies with a swift, precise, and cost-effective means of identifying potential customers within
the realm of social media. The result shows that this new technique has successfully identify
relevant topic based on the comments and recommend corresponding insurance to the user
Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
No full textIn the modern manufacturing landscape, optimizing productivity is a paramount
challenge, particularly in dynamic, non-concentrative environments where human activities
are diverse and complex. Accurately monitoring and analyzing worker behavior is crucial for
enhancing manufacturing processes, but traditional methods fall short in these settings due to
their reliance on simplistic global image features and manual classification. Addressing this
gap, this paper introduces a groundbreaking vision-based capture technology, integrated into a
manufacturing monitoring system. This technology significantly advances productivity by
providing a nuanced assessment of worker behavior. It departs from conventional approaches
by employing gait recognition techniques, which effectively match input sequences with
predefined models. This method adeptly navigates the hurdles of data scarcity, diverse human
behaviors, and visual variations typical in manufacturing environments. Utilizing machine
learning algorithms, our system learns and detects intricate activities from worker behavior
sequences, offering a sophisticated analysis of worker efficiency. The primary aim is to
quantify human behavior based on learning rates, thereby facilitating improved production
control. Our findings are promising, demonstrating an impressive 99% accuracy in behavior
detection. This high level of precision underscores the potential of our technology to transform
manufacturing productivity and worker monitoring practices
Analysis of the Nano-composite Column using Static and Dynamic Methods
No full textA nano-composite is a multi-phase material characterised by its size, which is
typically smaller than 100 nanometers. The material is formed by repeating distances between
the phases. The material has garnered significant attention from researchers worldwide
because to its superior mechanical, physical, and biological qualities in comparison to
traditional composite materials. Nano-composites have been employed in the fabrication of
aerospace vehicle components, such as wings, tails, and propellers, as well as high-performance racing car bodies, owing to their exceptional durability and lightweight
characteristics. The primary goal of this research is to do both static and dynamic analysis on
a nano-composite column composed of metal, ceramic, and polymer matrix nano-composites.
The ANSYS simulation software will be utilised to analyse the deformation and equivalent
(von-Mises) stress. The simulated analysis would employ compressive force. In addition, the
nano-composite column will be examined under 4 distinct boundary conditions to
demonstrate how it deflects in response to compressive force. This research aims to
investigate the possibilities of nano-composite materials and their potential for effective
utilisation in the near futur
Roll-Cage’s Hollow-Tubing Specification Assessment for an Off-Road Buggy
No full textFor an off-road buggy car, the roll cage is one of the most important safety features which needs to be integrated in the overall chassis design. The structure must be able to provide protection to the driver under various load conditions – especially during roll-over. The objective of this study was to determine the optimal roll cage assembly’s hollow-tubing diameter for the INTI University’s off-road buggy. The BAJA SAE standard was followed in designing the roll-cage. Based on the BAJA SAE standard, comparisons were made between two (2) hollow-tubing which were 21.3mm and 26.9 mm in outer diameter and with similar wall thickness of 2.3mm. The CAD model was developed via the Inventor software and Finite Element Analysis (FEA) was conducted via the ANSYS software. The result showed that for frontal impact, side impact and roll-over, the pipe with the outer diameter of 26.9mm has higher values safety factor at 2.8; against 1.79 for the 21.3mm. This is due to the difference in second moment of inertia, where, a tubing with higher second moment of inertia, has higher bending strength and stiffness. Nonetheless, the 21.3mm hollow tubing is still a good option for selection if factors such as minimal production cost and vehicle’s mass are of priority. In accordance to the BAJA SAE standard, the safety factor for the roll-cage needs to be within the range of 1.5 to 2. Thus, the 26.9mm tubing is overdesigned and could be omitted. For future studies, other assessments such as material selection for the roll-cage could be conducted
Convective Heat Transfer in Heat Exchanger Using Nanofluids -A Review
No full textIn the recent scenario, nanofluids play a major role in the heat transfer enhancement of heat exchangers due to their fascinating thermophysical properties and other potential benefits. The heat transfer characteristics of nanofluids were improved by incorporating a very small quantity of nanoparticles in the base fluid. A new correlation has been proposed for the selected nanofluids with performance analysis. The parameters like volume concentration, particle size, and base fluid properties are analyzed in the compact heat exchanger. Instead of using the helical coil heat exchanger instead of the straight tube type leads to an enhancement in the Nusselt number. Most of the researchers reported that the pumping power decreases by increasing the concentration at a constant mass flow rate. This paper, discussed the numerical and experimental investigations of heat transfer using nanofluids in heat exchanger applications. The latest works of literature on nanofluids have been presented in this paper. Moreover, as summarized nanotechnology is a promising field in sustainable energy to reduce energy consumption for the optimum design of heat exchangers