11 research outputs found
Exploring classification for sentiment analysis from halal based tweets
No full textGlobally, social media is gaining popularity and
redefining how people interact with one another online.
Malaysian individuals, for example, are increasingly reliant on
social media platforms such as Facebook and Twitter as well as
LinkedIn, Pinterest, Instagram, and other similar sites.
Consider sentiment analysis to be a sub-category of social
listening. A social media sentiment analysis has uncovered the
public's current feelings on a particular topic or brand.
Sentiment analysis is a technique for characterizing and
capturing emotional states from unstructured text. The most
important part of sentiment analysis is to evaluate a body of
text to comprehend the opinion expressed by it. It usually
assigns a polarity of “positive”, “negative” or “neutral”. It uses
an algorithmic technique to capture people's thoughts,
sentiments, and emotions by incorporating Natural Language
Processing and Machine Learning technology. Sentiment
analysis in Malaysia's social media is challenging to perform
since posts are frequently written in a mixed language, usage of
English and Malay with embedded jargon and various district
dialect. The classification was performed based on Malaysia
halal certification scheme for each tweet to acquire the class
label's frequency value based on the sentiment analysis
process's polarity results. It will demonstrate social media
users' proclivity for posting and can act as a reference point for
users when making decisions. An analysis of amounted 500
tweets with the hashtag #sijilhalal elicited information
regarding people's feelings, preconceptions, and attitudes
toward various issues related to halal certification in Malaysia.
The discovery of a person's emotions concerning halal topics is
visualized. Muslims' views are of importance to #sijilhalal
awareness
The Design and Development of Smart Agriculture Data Analytics
No full textAgriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic development. The Internet of Things (IoT) can potentially optimize agriculture and farming sector activities by reducing manpower through technology. Forecasts are central to most agricultural and agricultural-related operations. Smart Agriculture Data Analytics (SADA) was developed to address this issue. SADA is an embedded system with two components: data analytics and the Internet of Things (IoT). IoT in SADA also assists farmers in collecting data and learning more about the appropriate soil PH scale, fertilizer dataset, air humidity, and temperature. A prototyping model is used in software development. The farmer can provide real-time feedback, request project changes, and update model specifications. SADA will help farmers understand the trend of analytics crop production, allowing them to increase yield
Utilization of Business Analytics by SMEs In Halal Supply Chain Management Transactions
No full textHalal supply chain management has transformed beyond food and beverage certification. However, extant literature shows that Halal transaction management still has much to improve in terms of transaction permissibility, with the main gap in understanding Halal businesses and their transactions limited to a system that separately defines e-commerce and financial technology data into its IT business environment. This study aims to demonstrate the usefulness of managing Halal transactions and its permissibility analysis through a proposed Halal Supply Chain Management Transactions (HSCMT) model and prototype by applying a business analytic approach to integrate both e-commerce and financial technology data. The study uses literature analysis to ensure the correct structure of the integrated datasets, before modeling the transaction's permissibility and prototyping its analytics into decision-making analytics. The developed HSCMT prototype uses a payment gateway that can be embedded into a Halal SME owners' e-commerce site. This creates a holistic Halal Financial technology (FinTech) transaction permissibility dashboard, increasing the effectiveness of HSCMT for Malaysia Halal SME Owners (MHSO) by an average usability score of 83.67%. Results also indicate that the key basic mechanisms to verify transactional permissibility are the source of the transaction, the use of the transaction, transaction flow, and transaction agreement. Furthermore, its mechanisms must be mapped onto a submodule post-transformation and modeling of the transaction dataset. Further improvements in multisource data points can be further considered, as this research only focuses on local data points from one payment gateway service. This is due to restrictions in data policy when involving overseas supply chain and transaction documentation. This research utilizes available data in business through data management, optimization, mining, and visualization to measure performance and drive a company's growth. The competency of business analytics can be beneficial to Halal SMEs players because it can provide them with insights into the permissibility decision-making process
FDM preparation of bio-compatible UHMWPE polymer for artificial implant
No full textDue to its properties of high wear, creep resistance, high stiffness and strength, Ultra-High Molecular Weight Polyethylene (UHMWPE) was developed to eliminate most metallic wear in artificial implant, which conventionally found in stainless steel, Cobalt Chromium (Co-Cr) and Titanium (Ti) alloys. UHMWPE has an ultra-high viscosity that renders continuous melt-state processes including one of the additive manufacturing processes, Fused Deposition Modeling (FDM) ineffective for making UHMWPE implant. Attempt to overcome this problem and adapting this material to FDM is by blending UHMWPE with other polyethylene including High Density Polyethylene (HDPE) and Polyethylene-Glycol (PEG) which provide adequate mechanical properties for biomedical application along with the improvement in extrudability. It was demonstrated that the inclusion of 60% HDPE fraction has improved the flowability of UHMWPE in MFI test and showing adequate thermal stability in TGA
Societies’ Funds Management System Using Blockchain
No full textLack of transparency of the funds and lack of immutability of the funds’ records are large problems today, especially in the societies’ funds. Leveraging the Ethereum Blockchain, the system ensures complete transparency and security in recording and accessing financial transactions for any society. Advanced encryption and blockchain consensus protocols guarantee data privacy and resilience against fraud or tampering. The information entered in the system helps the treasurer to effectively manage funds and accurately and transparently pass appropriate financial transactions. This project meets the challenges of transparency and immutability in society’s fund records, providing an assurance system and promoting growth for the community's financial integrity. According to the iterative development model, the major components are user login, user management, payment status monitor, and funds history. A solution for a live transparent platform for their team members to have access to their financial data to build trust and get them involved. The system organizes the administrative tasks of bookkeeping, enabling the treasurer to be financially secure while maintaining trackable transactions. The key module of this system includes user login, user management, payment status tracking, and funds history. In the end, this project solves the stated problems by providing a safe path for growth and financial transparency
Deriving Halal Transaction Compliance using Weighted Compliance Scorecard (WCS)
No full textThis study proposes a Halal transaction compliance process using Weighted Compliance Scorecard (WCS) to derive a Halal Transaction Compliance module. This study also attempts to outline the users, experts and authorities that will be implicated in its implementation. The transaction data was collected from a payment gateway provider after analyzing literature review, expert interview and central data theme to determine the variables involved in the compliance structure. The data is then aggregated and transformed before subjected to the Halal Transaction Compliance module and verified by the same group of experts. Results indicated that the proposed compliance is effective by a total average score of 4.06. However, improvements to central data theme can include investigative modules to make the variable more dynamically adaptable to real world changes. It can also include more in-depth industrial data compliance. Considerations should also be catered for international transactions and SMEs with global chains. For the purpose of this study, the user scope is limited to Malaysia Halal SME owners that use payment gateway embedded into their e-commerce website. Furthermore, the initial transaction data covers 500 of the payment gateway provider’s most active users. It is suggested that future studies involve SMEs with good permissible scores to be benchmarked, so that the range of good compliance scores are gauged. They
can also study the complexity of these compliance documentation for Halal supply chain transactions. This study’s contribution lies in the enhancement of Malaysia’s Halal transaction ecosystem, as well the development of a standardized Halal Transaction Compliance Protocol and the complexities involved in its operationalization and regulation
Important criteria for measuring heritage building condition
No full textThe excellence condition of a heritage building lies not only in the appearance of its individual elements, but also in the integrity of all its components, considered as unique criteria of the specific construction technology of its time and place. However, these criteria are varied and not specific. Therefore, this study aimed to identify and rank the important criteria for measuring the condition of heritage buildings in Malaysia. Data obtained through questionnaire and analyzed using Average Index (AI) in order to establish the important criteria. Samples were selected from a panel of experts in the field of heritage buildings management including industry players and academicians. The established criteria will be used as components to develop a new method of heritage building condition determination model in Malaysia
