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This research is motivated by the importance of preserving the authenticity of the Qur’an as the primary source of Islamic teachings and law, which serves as the foundation for legal certainty within the Islamic Family Law system. Historical records show that the codification process of the Qur’an carried out by Zaid bin Tsabit during the caliphates of Abu Bakr and Uthman bin Affan played a crucial role in ensuring the integrity and uniformity of the revealed text, thereby having significant implications for the validity of Islamic legal arguments. This study aims to critically analyze the role of Zaid bin Tsabit in the Qur’anic codification process and its implications for the certainty of the textual basis (nash) in Islamic family law. Using a qualitative method with a historical-normative approach, this research combines chronological and normative analyses of primary sources such as the works of as-Suyuthi and az-Zarkasyi, as well as secondary sources in relevant academic literature. The findings indicate that the codification process of the Qur’an holds not only historical value but also juridical significance, as it ensures the authenticity of the text as the foundation of Islamic law. Therefore, integrating historical and normative aspects is essential to maintaining the authority of Islamic legal sources in the contemporary era.

This study analyzes the urgency of digital expert testimony in strengthening the validity of electronic evidence in civil procedure law amid rapid technological transformation. The increasing use of digital communications, electronic transactions, and online documentation has given rise to new evidence in civil disputes, while its intangible and easily manipulated nature raises doubts about its authenticity and reliability. This study will focus on Decision Number 439 B/Pdt.Sus-Arbt/2016. The study relies on primary legal sources, legislation, court decisions, and secondary legal literature analyzed qualitatively. The findings show that electronic evidence is legally admissible when it meets the requirements of accessibility, integrity, authenticity, and accountability, but its probative value is highly dependent on technical validation. In the case analyzed, the petitioner's challenge to print the chat evidence was rejected because the allegations of manipulation were unsubstantiated and no expert testimony was presented to support the claim. This shows that expert testimony plays a decisive role in explaining technical aspects beyond the knowledge of the court and in strengthening the court's conviction. This study concludes that digital experts serve as a bridge between technological complexity and legal assessment, ensuring that digital evidence is evaluated objectively. The implication for courts and related parties is must prioritize the involvement of experts to promote legal certainty, factual truth, and fair dispute resolution.

Social support is defined as an individual’s perception of the availability and presence of assistance derived from three primary sources, namely family, friends, and individuals considered significant others. This concept emphasizes the subjective evaluation of the quantity and quality of support perceived by individuals, rather than the actual support provided. This study aims to examine the construct validity of the Multidimensional Scale of Perceived Social Support (MSPSS) developed by Zimet et al. (1988), which has been adapted into the Indonesian language. The MSPSS instrument is designed to measure the extent to which individuals perceive social support received from family, friends, and significant others in their lives. Research participants were selected using a purposive sampling technique, with inclusion criteria consisting of active university students aged between 18 and 27 years. A total of 279 students participated in this study. The research employed a quantitative approach, with data collected through an online questionnaire administered via Google Forms and distributed through various social media platforms. Data analysis was conducted using Confirmatory Factor Analysis (CFA) with the assistance of Jamovi software.