This study explores the fatwa of Sheikh Muhammad Arsyad Al Banjari in the book Sabilal Muhtadin regarding the permissibility of eating haliling (field snails) and the prohibition of eating anak wanyi (bee larvae) with a focus on the health perspective. Sheikh Muhammad Arsyad Al Banjari stated that snails are halal food, while bee larvae are considered haram. This study uses a literature study method to analyze the legal basis and health implications of both types of food. The results of the study indicate that snails can be safely consumed if processed properly, because snails are rich in protein and nutrients, but require special attention in processing to avoid the risk of infection from parasites or bacteria. Conversely, consuming bee larvae can pose health risks such as allergic reactions and dangerous toxins, and can have a negative impact on the bee population and ecosystem. The conclusion of this study emphasizes the importance of understanding fatwas from a health and ethical perspective, as well as the need for education regarding food processing practices that are in accordance with sharia principles and modern health standards.

Traditional learning media remain prevalent due to the limited utilization of Android-based platforms among students as an instructional tool, necessitating an update in information delivery methods. The integration of technology in teaching materials aims to address this gap. This study seeks to implement Android-based interactive multimedia using the Problem Based Learning model to enhance students learning outcomes in understanding the working principles of Shielded Metal Arc Welding (SMAW) in cognitive, affective, and psychomotor domains. The research follows the ADDIE development model, which includes Analysis, Design, Development, Implementation, and Evaluation. The study involved 72 tenth grade students from the Welding and Metal Fabrication Engineering program, divided into control and experimental groups. The findings indicate that the application of Android-based interactive multimedia significantly increased students learning interest, with an initial average score of 63.194 rising to 73.889. T-test results revealed a significant difference between pre-test and post-test scores, with a significance value (2-tailed) of p = 0.00 < 0.05 and a t-value of 6.504. The hypothesis testing confirms that the use of Android-based interactive multimedia positively influences the learning outcomes of tenth grade students in the Welding and Metal Fabrication Engineering program at SMK Negeri 1 Adiwerna. Based on these findings, it can be concluded that the implementation of Android-based interactive multimedia effectively enhances students understanding of SMAW welding principles.

Web Usage Mining (WUM) is the use of data mining methods to extract knowledge from web usage data. One function of WUM is to support Business Intelligence (BI) purpose in which one of the important information needed is the classification of web users that can be used for acquisition, penetration, and user retention activity. There are two main problems encountered in conducting the classification of web users. The first is the determination of antecedent attributes as a term of classification rules, which is a major problem in data mining classification function in general. The second problem is the preprocessing activity which involves preparing the supporting data for the web users’ classification need which is the most difficult stage in WUM. For the web user classification method, we propose a classification method based on ant colony optimization method (ACO) as a distributed intelligent system using heuristic function which is in line with the problem areas. We proposed a heuristic functions for web user classification based on web usage data that uses entropy of antecedent candidate, information gain from attribute of total number of web user access  and average of access duration of web user.  For preprocessing purpose, a method of data preparation that can support the needs of web users’ classification is proposed. The data used consists of web access log data, web user profile data and web transaction data. The preprocessing activity consists of parsing, data cleansing, and extraction of the web user sessions using heuristic method concerning web page access timeout and differences in web browser agent. Testing is done by comparing the performance of the proposed algorithm with Ant-Miner algorithm, cAnt-Miner algorithm, and the Continuous Ant-Miner algorithm. The results of testing of four web data shows that the performance of the proposed algorithm is better in terms of accuracy of rules and simplification of rules.