This research looks into the topic of the Digital Quran as an application used by many people worldwide and via various devices (e.g. smartphones, tablets, and computers). The current digital Quran text-based format benefitted the Hexadecimal representation. However, space was not optimized due to the string concatenation approach of the Unicode of each letter that occurs in a word. Thus, the storage size for the Unicode representation is directly proportional with the length of a word. In this regard, the current study proposes a new Digital Quran Model (DQM) that aims to reduce storage requirements through word conversion into Hexadecimal instead of combining letter sequences. This approach is further optimized through Quranic word duplication handling. This is paralleled with a compressed sparse matrix representing Quranic verses and surah. The focus of this research is storage optimization for text-based Quran content formats. DQM was implemented using Visual Studio and Java servers, where the solution quality was measured by comparing the file size before and after applying the DQM model. For surah Al-Baqarah, the reduction in the storage size was 50.76%, and Al-Fatihah was 69.81%. The results of this research are consistent with other studies in the same context and provide implications in both theoretical and practical domains. In addition to space reduction analysis, the current research interviews domain experts on the proposed digital Quran applications. The outcome helps the researchers to develop a Digital Quran that users can benefit from due to its reliability, validity, and optimized storage so that it can be used as a standard application.

Digital Quran may be implemented as image-based, text-based, audio, or video based. In terms of storage, the compilation of Quranic verses in images, audio, or video will consume ample storage space. On the other hand, the digital Quran in text-based format benefitted the Hexadecimal representation due to the use of Unicode. However, space was not optimized due to the string concatenation approach of the Unicode of each letter that occurs in a particular Quranic word. Thus, with the Unicode representation, the storage size is directly proportional to the length of a word. This paper presents a new Digital Quran Model (DQM) that aims to reduce storage requirements through individual word conversion into Hexadecimal instead of combining letter sequences. Due to the repetitive nature of Quran words, space usage can be further improved by handling Quranic word duplication. DQM was implemented using Visual Studio and Java servers. The solution quality was measured by comparing the file size before and after applying the DQM model. For example, space reduction for surah Al-Fatihah is 46.91%. The outcome helps the researchers to develop a lightweight Digital Quran application that users can benefit from due to its reliability, validity, and storage management efficiency and thus can be used as a standard application.