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Chapter Al-Baqarah is the longest chapter in the Holy Quran, and it covers various topics. Al-Quran is the primary text of Islamic faith and practice. Millions of Muslims worldwide use Al-Quran as their reference book, and it, therefore, helps Muslims and Islamic scholars as guidance of the law life. Text clustering (unsupervised learning) is a process of separation that has to be divided text into the same section of similar documents. There are many text clustering algorithms and techniques used to make clusters, such as partitioning and density-based methods. In this paper, k-means preferred as a partitioning method and DBSCAN, OPTICS as a density-based method. This study aims to investigate and find which algorithm produced as the best accurate performance cluster for Al-Baqarah's English Tafseer chapter. Data preprocessing and feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF) have applied for the dataset. The result shows k-means outperformed even has the smallest of Silhouette Coefficient (SC) score compared to others due to less implementation time with no noise production for seven clusters of Al-Baqarah chapter. OPTICS has no noise with the medium of SC score but has the longest implementation time due to its complexity.

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<span>Experiencing food involves accumulation of multiple senses, experienced through visuals, auditory and palatability. There has been significant growth in digitizing taste using electrical and thermal components to stimulate taste sensations where users need to lick devices or place a metal peripheral on their tongue. Such unnatural interaction appears undesirable motivating us to explore if taste experience could be stimulated by just viewing food visuals. This places considerable emphasis on understanding user association to food visuals and perceived food taste. Inability to understand their needs before-hand may result into a system with poor potentiality to trigger taste experience and not excite them to try the food they view on a digital platform. Using Design Thinking as an approach, we were able to identify user perceptions and expectations from food visuals as well as their desires on how images could trigger their interest to try the food. This paper presents the findings from the excursions and how this affected our strategy for the next phase of our research.</span>

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This paper describes participatory activities with university lecturers to design an online community. The objective of this study is to engage the users of an online community to collaboratively design their online community. We speculated that by involving them in the design team, we can identify their specific requirements, and they will accept and use the system. However, lecturers have heavy workload and tight schedule. For that reason, we thought that paper prototyping is the most suitable tool to be used because it is fast and easy to create. Therefore, paper prototyping technique has been adapted in a two-day participatory design session. We found that paper prototyping is indeed the most suitable technique to elicit requirements from the end users under a time constraint. Moreover, participants came out with unexpected requirements and novel interface.