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All Journal Proceedings of International Conference on Da'wa and Communication Talimi
Maslahul Adi, Nur Romdlon
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Religion Humanities Languange, Linguistic, Communication & Media Social Sciences

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Sentiment Analysis of Twitter Netizens on Hashtag #Gitasav towards Childfree Opinion Using Social Network Analysis Maslahul Adi, Nur Romdlon; Shafira, Adila Ardalia Shafira Rahmatika; Virgiananda, Ardhita Septi
Proceedings of International Conference on Da'wa and Communication Vol. 5 No. 1 (2023): Forging a Harmonious Future World through Da'wah and Communication Aligned with
Publisher : Da’wa and Communication Faculty of the Sunan Ampel State Islamic University, Surabaya, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/icondac.v5i1.1386

Abstract

Childfree has become a hot topic of conversation, especially on Indonesian social media. Gita Savitri's controversial statement about her decision to be childfree program uploaded on her personal Instagram video reels attracted the attention of Indonesian netizens and eventually became trending on Twitter. According to Gita Savitri, childfree is the secret to staying young and having many children can make a woman look older. The pupose of this research is to determine the sentiment of netizens towards Gita Savitri's statement on the social media Twitter. This research uses the SNA or Social Network Analysis method using a web-based application, Netlytics.org. The result of this study is indicate that there is a positive sentiment in the statement childfree makes women look younger. Some netizens support this statement, but not many also disagree. There are 10 accounts whose tweets are most responded to, such as @hoshii071, @strategi_bisnis, @bemynotomymin, @fakhta, @thisisreparo, @footycinephile, @fikfinicky990, @yogisuprastrian, and @mufalbania. Therefore, in this article we will discuss netizen sentiment regarding Gita Savitri's statement regarding childfree making the face look youthful.
Implementasi Sorogan dalam Pembelajaran Qirā’ah Kitab Kuning di Pesantren al-Luqmaniyyah Yogyakarta Maslahul Adi, Habib Maulana; Zidni, A. M. Irfan; Maslahul Adi, Nur Romdlon; Rilitama, Angga
Ta'limi | Journal of Arabic Education and Arabic Studies Vol. 3 No. 1 (2024): Ta'limi
Publisher : STAINI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53038/tlmi.v3i1.93

Abstract

This research aims to reveal and describe the implementation of sorogan in learning qirā'ah kitab kuning at the Pesantren Al-Luqmaniyyah Yogyakarta. This research uses a qualitative approach, with a case study type. There are primary and secondary data sources, which are collected through observation, interviews, and documentation. The validity of the data was tested using method triangulation techniques and source triangulation. Data analysis was carried out using inductive techniques and presented using descriptive techniques. The findings from this research are that the implementation of sorogan at the Pesantren Al-Luqmaniyyah Yogyakarta is only mandatory for students at the beginning and middle levels, in groups of 3-5 people per supervisor, and the reading provided is adjusted to the class. Supporting factors for the implementation of sorogan are the suitability of sorogan with traditional pesantren, the synergy of pesantren administrators with the education board, the sufficient number and skills of supervisors, the uniform knowledge of students, and the accessibility of learning support references. Meanwhile, the inhibiting factors are the lack of consistency of supervisors, less than optimal preparation of students, unstable motivation to learn, and the many activities outside the pesantren that students also have to participate in. It is hoped that the results of this research can be used as evaluation material for the management of the Pesantren Al-Luqmaniyyah Yogyakakarta, as well as consideration for other pesantren that are or will be implementing the sorogan method in their learning systems.
Co-Authors Maslahul Adi, Habib Maulana Rilitama, Angga Shafira, Adila Ardalia Shafira Rahmatika Virgiananda, Ardhita Septi Zidni, A. M. Irfan