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All Journal Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Al-Albab
Ahmed, Ashir
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Decision Sciences, Operations Research & Management Social Sciences

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A Netnography Analysis of Thematic ­Hadith Memes Distribution on ­­ Social Media Usman, Ermawati; Nurdin, Nurdin; Ahmed, Ashir; Huda, Miftachul
Al-Albab Vol 12, No 2 (2023)
Publisher : Pascasarjana IAIN Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24260/alalbab.v12i2.2778

Abstract

Instead, the use of hadith memes among Muslim communities is rampant, and the study of hadith memes is scarce. This study, therefore, aims to examine the use of hadith memes by millennial Ulama and the types and content of hadith memes disseminated and exchanged in the virtual world by millennial Ulama. This study built thematic hadith memes based on their contents and formats on social media platforms using Rajan's (2015) theory of religious memes. This study employed a netnography method, collecting data from the social media sites Facebook and WhatsApp of Islamic millennial Ulama. We used a thematic approach in analyzing the data. Our results show that hadith memes disseminated on social media sites fall into four themes. The first theme is prayer hadith memes that present the traditions of prayers in Islam. The second theme is hadith memes related to sacrifice, which depict messages of Muslims' willingness to practice gratitude and to sacrifice to do things according to Allah's will. The third theme of the hadith memes is that they present messages about the afterlife, which tells about the end of life, such as life in the grave, hell, and heaven. The last theme is hadith memes about tolerance, which tell about the importance of living in tolerance and respecting each other. We conclude that our study contributed to understanding the distribution of hadith meme themes in the virtual world to enhance the sharing and exchange of Islamic teachings.
Mask-Wearing Behavior Among Individuals Newly Diagnosed With Type 2 Diabetes: Insights From Community Health Screenings During the COVID-19 Pandemic in Indonesia Yokota, Fumihiko; Anai, Akane; Lazuardi, Lutfan; Majid, Nurholis; Wulandari, Hanifah; Nishikitani, Mariko; Kikuchi, Kimiyo; Sato, Yoko; Ikeda, Subaru; Ahmed, Ashir; Maruf, Rafiqul Islam; Nakashima, Naoki
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 10, No 1 (2024): March
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpkm.89347

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had a severe impact on people with type 2 diabetes (T2D) and their health behaviors. This study investigated the associations between T2D status and mask- wearing behaviors in public settings during the first wave of COVID-19 among community residents in Yogyakarta, Indonesia. Outreach health checkups and self-report questionnaires were cross-sectionally conducted to measure mask- wearing behavior, T2D status, and sociodemographic characteristics. Chi- square tests and bivariate and multivariate logistic regression were performed for data analysis. Out of 254 participants, nearly one-fourth (24%) were newly diagnosed with T2D, while 15% reported that they had never been diagnosed with T2D before. Bivariate and multivariate logistic regression models had no statistically significant associations between mask-wearing behavior and T2D status. However, Chi-square test results showed significant differences (P=0.02) in percentages of inconsistent mask-wearing behavior among those who were newly diagnosed with T2D (19%), those who had known as T2D (8%), and those who had no T2D (7%). Early diagnostic services and awareness education for T2D are imperative to reduce the disease severity and mortality for future pandemics, particularly among undiagnosed individuals who are unaware of their T2D status.
Co-Authors Anai, Akane Chatarina Umbul Wahyuni Ermawati Usman Ikeda, Subaru Kikuchi, Kimiyo Lutfan Lazuardi Maruf, Rafiqul Islam Nakashima, Naoki Nishikitani, Mariko Nurdin Nurdin Nurholis Majid, Nurholis Sato, Yoko Wulandari, Hanifah Yokota, Fumihiko