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Identity Legitimacy through Cultural Revitalization of Arab People in Tanjung Pasir Village, Pemulutan, Ogan Ilir, South Sumatra Fitriah; Ris’an Rusli; Choirun Niswah; Mariam Ivana Prazic
El Tarikh : Journal of History, Culture and Islamic Civilization Vol. 7 No. 1 (2026): Islamic Intellectual and Civilization
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/00202673001700

Abstract

This study is motivated by an interest in the sustainability of the Arab Bungin Ayeb community’s identity in Tanjung Pasir Village through cultural revitalization amid social change. This study is important because it shows how cultural and religious traditions function as mechanisms of identity legitimation within a multiethnic rural society. This research aims to analyze the forms of cultural revitalization and their function in producing social recognition, symbolic authority, and identity sustainability in a multiethnic rural context. This study employs a qualitative approach with a descriptive-interpretative design. Data were collected through field observations, in-depth interviews with religious leaders, community figures, and residents across generations in Tanjung Pasir Village, as well as documentation studies. Thematic analysis was used to relate empirical findings to the framework of identity legitimation and cultural revitalization. The findings show that cultural revitalization operates through three main pathways: historical legitimation through religious rituals and collective memory, symbolic legitimation through genealogy (nasab), religious figures, and religious arts, and social legitimation through cross-ethnic communal traditions such as rumpak-rumpak and communal feasting. These findings demonstrate that the identity of the Arab Bungin Ayeb community is legitimized through inclusive and dialogical cultural practices, contributing to social cohesion and identity sustainability at the local level.
SOSIALISAI DAMPAK PENGGUNAAN SOSIAL MEDIA BAGI ANAK-ANAK DAN REMAJA STUDI KASUS SD MUHAMMADIYAH 02 KOTA BENGKULU Muntahanah; Fitriah; Muhammad reza bagus kusuma
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): JUNI 2026
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v6i1.10030

Abstract

Penyuluhan tentang penting & efektifitas dari sebuah kegunaan sosial media kepada siswa-siswi SD Muhammadiyah 02 kota Bengkulu ,Mengingat Pentingnya dari dampak akibat salahnya penggunaan internet oleh para remaja . Sebagai dari bagian generasi muda yang akan menjadi penerus bangsa, Mahasiswa pentingnya dibekali dengan wawasan pengetahuan yang luas serta juga pentingnya membangun sikap mental yang kuat agar tidak mudah terpengaruh dan terjerumus dari perilaku kenakalan remaja dari salahnya menggunakan internet sosial media yang bebas yang mengarah pada tindak kriminal. Penyuluhan ini diselenggarakan secara tatap muka kepada siswa siswi dengan menggunakan aplikasi microsoft power point . diskusi interaktif dengan peserta didik menghasilkan simpulan tentang upaya preventif,represif,dalam menangani upaya pencegahan kenakalan remaja dari sosial media.
Pengelompokan Pasien Penyakit Kronis Diabetes, Hipertensi, dan Gagal Ginjal Menggunakan K-Means Berdasarkan Variabel Klinis Fitra Tri Damayanti; Muhammad Iffran Ceria Rizal; Sakinah Derajad; Ihksan Kurnia Afnis; Joko Purnomo; Fitriah; Khairunnisa
Jurnal Kesehatan Vol 14 No 1 (2026): April
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-kes.v14i1.664

Abstract

The increasing number of patients with chronic diseases poses challenges in delivering effective and efficient healthcare services. The heterogeneity of patients’ clinical characteristics makes risk identification and clinical decision-making processes more complex. This study aimed to classify patients based on similarities in clinical characteristics using the K-Means algorithm to identify specific health patterns. The study employed a quantitative approach with a cross-sectional observational design and data mining techniques. Research data were obtained from a public Kaggle dataset which, after the data cleaning process, resulted in 51 patient records with analytical variables including age, blood pressure, blood glucose level, hemoglobin, diabetes mellitus, hypertension, anemia, and red blood cell (RBC) condition. Cluster analysis was performed using the K-Means algorithm, while cluster validity was evaluated using the Silhouette and Dunn indices. The results showed that the optimal number of clusters was three, with a Silhouette score of 0.537 and a Dunn index of 0.612. Cluster 1 (n=38) represented a low-risk profile characterized by relatively normal blood pressure and blood glucose levels without cases of diabetes mellitus or hypertension. Cluster 2 (n=8) was characterized by a high prevalence of anemia (87.5%) and low hemoglobin levels. Meanwhile, Cluster 3 (n=5) exhibited the most severe metabolic profile, with hypertension prevalence reaching 100%, diabetes mellitus 80%, and the highest average blood glucose level 348.8 mg/dL. These findings indicate that the K-Means method is effective in identifying patient segmentation based on distinct clinical characteristics. However, due to the relatively limited sample size and imbalanced cluster distribution, the findings should be interpreted as an exploratory analysis that requires further validation using larger and more diverse datasets. Keywords: clinical pattern, data mining, health stratification, patient segmentation, unsupervised learning