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Pengembangan Nilai Karakter dan Kecakapan Hidup Bagi Pengurus Santri Putri Pondok Pesantren Baitun Nur Punggur Kabupaten Lampung Tengah Hidayat, Rahmat; Ferliana, Lian; Rahmawati, Novi Eka; Karsiwan, Karsiwan
SOCIAL PEDAGOGY: Journal of Social Science Education Vol. 2 No. 1 (2021): Social Pedagogy: Journal of Social Science Education
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan Universitas Islam Negeri Jurai Siwo Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/social-pedagogy.v2i2.3516

Abstract

Pengembangan nilai karakter dan kecakapan hidup bagi pengurus santri putri Pondok Pesantren Baitun Nur Punggur Lampung Tengah, merupakan suatu proses yang berpengaruh dalam kehidupan sehari-hari. Pengembangan nilai karakter yang diperoleh pengurus santri putri yaitu terdiri dari nilai religius, ibadah, ikhlas, disiplin, sabar, tanggung jawab, dan tawadhu’. Sementara kecakapan hidup yang dikembangkan oleh pengurus santri putri yaitu, pengasuh anak, kawirausahawan dan keahlian urusan domestik. Proses pengembangan nilai karakter dan kecakapan hidup dilakukan dengan cara memberikan keteladanan bagi anak, tugas dan tanggung jawab pada urusan domestik, dan melalui pembelajaran dan pembiasaan dalam mengasuh anak. Dalam proses pengembangan nilai karakter yang dilakukan melalui tugas sehari-hari itu akan menjadikan kehidupan para pengurus santri putri menjadi terpola dan kemudian berkembang menjadi suatu kebiasaan. Dimana kebiasaan yang telah dilakukan oleh pengurus putri kelak akan bermanfaat setelah mereka bermasyarakat dengan apa yang telah dipelajari selama di pesantren.
Analisis Sentimen Opini Warga X terhadap Banjir di Sumatera Menggunakan Naive Bayes Rahmawati, Novi Eka; Ummah, Rahmatul; Al Rosyid, Harun
Jurnal Dinamika Informatika Vol. 15 No. 1 (2026): Vol. 15 No. 1 (2026)
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v15i1.462

Abstract

This study aims to analyze public sentiment regarding flooding in Sumatra based on data from social media platform X. Flooding is a frequent natural disaster in Sumatra and elicits a variety of public responses, many of which are expressed through social media. Social media platform X was chosen as the data source because it is open and real-time, allowing it to broadly represent public opinion. The research data consists of 1,030 Indonesian-language tweets collected through a crawling process using the official API for X, using keywords related to flooding in Sumatra. After data cleaning, 873 tweets were obtained, which were then processed through text mining stages, including text preprocessing, manual sentiment labeling, and dividing the data into training and test data. The training data consisted of 650 tweets, while the test data consisted of 223 tweets. Sentiment classification was performed using the Naive Bayes algorithm with the assistance of RapidMiner software. Model evaluation was performed using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results showed that the Naive Bayes algorithm performed quite well in sentiment classification. Furthermore, the analysis shows that public opinion regarding the flooding in Sumatra is dominated by negative sentiment. This research is expected to provide insight into public perceptions and inform disaster management policymaking.