Halal Research Journal

A Comparison of Halal Product Standards in Indonesia and the Kingdom of Saudi Arabia

2024-01-19T02:52:26+00:00

In the era of globalization and increasingly fierce economic competition, halal industry opportunities are an important focus of the government in understanding the dynamics of the global market. The rapid growth of the Muslim market is partly due to the high birth rate of Muslims compared to the birth rate in Western countries. This high growth has the potential to drive an increase in the market as well as the global economy because Muslims generally seek Halal products that are made following Islamic principles. The government continues to strive to develop this industry and make various regulations to regulate the entire process that occurs. Halal standards that apply in each country are, of course, different, and tailored to the conditions and needs of the country. The main purpose of this research is to analyze and compare the practice and regulation of halal products in Indonesia and Saudi Arabia. Based on comparative and qualitative analysis, it can be concluded that halal policies in Indonesia and Saudi Arabia have several significant differences, such as halal policies, procedures and provisions in halal certification, types of halal mandatory products, and slaughter criteria.

Exploring Semantic Similarity among MUI Fatwas: A Computational Analysis using Generalized Jaccard Similarity

2024-05-22T05:29:14+00:00

Majelis Ulama Indonesia (MUI) plays a crucial role in the Islamic landscape of Indonesia, influencing religious discourse and societal norms. As a primary contributor to policy formulation and the issuance of Islamic fatwas, the MUI significantly impacts the lives of Muslims. However, challenges arise when certain fatwas exhibit similarities, necessitating deeper analysis to understand their differences. Despite limited prior research, there is an urgent need for a computational framework to comprehensively assess fatwa similarities. This study addresses this gap by employing the Generalized Jaccard Similarity method with WordNet, demonstrating its effectiveness compared to the Jaccard method with a 25.86% improvement in string matching quality for evaluating MUI fatwa titles. The Generalized Jaccard similarity analysis reveals that 73 documents exhibit similarity scores greater than 0.5, indicating significant resemblance, while 77,028 documents have scores less than 0.5, indicating lower similarity or dissimilarity. These figures reflect varying degrees of document similarity based on Generalized Jaccard.

Identifying Public Awareness of the Halal Issue of Cough Medicine Containing Alcohol

2024-07-10T03:25:09+00:00

This study aimed to identify public awareness regarding the halal status of cough medicines containing alcohol in Indonesia. Although Indonesia is the country with the largest Muslim population, many medicines in Indonesia still contain substances prohibited by Islam, such as alcohol. This research employs a qualitative approach with a literature review to explore the community’s understanding and behavior toward halal-certified medicines. The findings revealed that public awareness regarding the halal status of cough medicines is relatively low. Many respondents did not consistently check for halal logos or ingredients on medicine packaging. Additionally, it is difficult to obtain clear and reliable information about the halal status of these medicines. The study concluded that increased educational and social efforts are necessary to enhance public knowledge and prioritization of halal medicines. Ensuring accessible information on halal certification is crucial for promoting the consumption of halal products, particularly in the health sector.

Application of Milkfish Bone-Based Gelatin as an Alternative to Non-halal Gelatin

2024-07-10T03:16:15+00:00

Collagen partially hydrolyzes to produce gelatin that functions as a gelling and non-gelling agent for various industries. Currently, Indonesia cannot produce its own gelatin, so to meet its needs, Indonesia imports 100%. However, many imported gelatins are still made from pork, so they need to be replaced to ensure that the gelatin is halal . This paper discusses the substitution of pork-based gelatin with milkfish bones. The general process for making gelatin from milkfish bones involves extracting, drying, demineralizing, degreasing, and determining the gelatin yield. Brackish water fish collagen, including milkfish, contains approximately 12–14 kDa parvalbumin, suggesting the potential for allergic reactions among consumers. Meanwhile, the critical point for halal gelatin extracted from milkfish bones is the origin of the milkfish bones and the use of citric acid as an extractor. Although there are still weaknesses, gelatin from milkfish can replace pork-based gelatin, and it can have a positive impact on the Indonesian economy by reducing gelatin imports.

Chatbot Model Development Using BERT for West Sumatera Halal Tourism Information

2024-08-01T02:59:21+00:00

Halal tourism in Indonesia is growing rapidly, highlighting the need for Muslim halal tourism information that gives unique and relevant information for traveller. However, providing timely and reliable information, specifically related to halal tourism remains a challenge. This research aims to address this by developing a chatbot model using BERT for West Sumatra’s halal tourism. A total of 1,125 questions were prepared, divided into nine categories or labels with 125 questions each. Eighty percent (900 questions) was used to fine-tune the BERT-base-multilingual-uncased model, while 20% (225 questions) was used for evaluation. The model was fine-tuned using BertForSequenceClassification for three epochs with a batch size of 32. The chatbot demonstrated high performance, with an overall accuracy of 0.96. However, the lowest precision value was 0.89 for “budaya” (or culture) and “kuliner” (or culinary) labels, and the lowest recall value was 0.64 for the “belanja” (or shopping) label, yielding an F1-score of 0.78. This study describes chatbot model development, from data collection and pre-processing to experimental setup and model training using a fine-tuned BERT-base-multilingual-uncased model. The chatbot model can group user queries into specific purposes and respond to a predefined list. However, one label (e.g “belanja” or shopping) may have the lowest recall due to a poor training dataset and query variation.