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Attention-Seeking Behavior and Loneliness as Contributing Factors to Problematic Social Media Use: A Study of Early Adults in Jabodetabek K. Brantakesuma, Rasikhansa; Rosalina
International Journal of Social Science, Education, Communication and Economics Vol. 3 No. 5 (2024): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v3i5.448

Abstract

This study investigates the influence of attention-seeking behavior and loneliness on problematic social media use among early adults who are active social media users in the Jabodetabek area. A total of 201 participants were selected through self-selected surveys. The instruments used include the Bergen Social Media Addiction Scale (BSMAS) for measuring problematic social media use, the Attention-Seeking Scale for assessing attention-seeking behavior, and the UCLA Loneliness Scale version 3 for evaluating loneliness. Multiple linear regression analysis revealed that attention-seeking behavior and loneliness have a significant impact on problematic social media use, with an R² of 0.661, indicating a 66.1% contribution. The data analysis showed that attention-seeking behavior (p-value < 0.001, t = 8.185) and loneliness (p-value < 0.001, t = 6.086) both significantly influence problematic social media use. In conclusion, both attention-seeking behavior and loneliness significantly contribute to problematic social media use among early adults in Jabodetabek.
SOSIALISASI MITIGASI BENCANA INKLUNSIF: MEWUJUDKAN DUSUN GERUPUK YANG TANGGUH BENCANA Nunik Cokrowati1, Mardiatul Husna2, Prasetyo Fajar Islam3, Muhammad Arif Ramadhan4, Beuty Asya5, Rivaldi Ananda Saputra6, Rosalina7, Devita Safira8, Riatulhilal9, Nulia Cokrowati, Nunik; Husna, Mardiatul; Islam, Prasetyo Fajar; Ramadhan, Muhammad Arif; Asya, Beuty; Saputra, Rivaldi Ananda; Rosalina; Safira, Devita; Riatulhilal; Aprilia, Nulia Angga; Aimin, Almu
Jurnal Wicara Vol 2 No 2 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i2.4112

Abstract

Gerupuk Hamlet, which is 100 m from the sea, is at great risk of natural disasters, especially tsunamis. Therefore, the Gerupuk Hamlet community's understanding of inclusive disaster mitigation is a necessity. Therefore, the Sengkol II Village KKN Team and TSBD conducted outreach regarding disaster recognition, prevention, disaster mitigation (evacuation routes and safe points), and disaster preparedness. This socialization was carried out with the aim of increasing the knowledge and understanding of the Gerupuk Hamlet community regarding disaster mitigation so that the community becomes more responsive to the disaster risks they face. The socialization method used is presentation of material and practice of making evacuation route maps along with disaster safe points. The socialization was considered successful because the participants who attended exceeded the target, namely 37 people. Apart from that, the people of Gerupuk Hamlet are increasingly aware of disaster mitigation through the outreach carried out. This is proven by the community's ability to create maps of evacuation routes and disaster safe points after presenting the material.
IMPLEMENTASI TEKNOLOGI DIGITAL MELALUI APLIKASI CANVA DALAM MENINGKATKAN MOTIVASI BELAJAR IPAS SISWA SDN 61 KARARA KOTA BIMA Rosalina; Syarifuddin; Aris Iwansyah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10 No. 02 Juni 2025 In Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.23972

Abstract

The increasingly rapid development of information technology in the current era of globalization cannot be avoided anymore its influence on the world of education. Global demands require the world of education to always adapt technological developments of efforts to improve the quality of education. This study aims to determine the efferctiveness of the use of digital technology through the canva application in increasing the motivation to learn science in fifth grade students of SDN 61 Karara Bima City. This research is a classroom action research of the classroom assessment. The instruments used to collect data are observation sheets for the implementation of learning (teacher activities), observation sheets for student activities, student response questionnaires, and learning outcome tests in each cycle. The data obtained were analyzed using quantitative descriptive analysis is used to determine student learning outcomes while qualitative analysis is used to deremine the results od student activity observations. The results of the study showed that learning using digital technology based media through the canva application can increase the learning motivation of fifth grade students of state elementary school 61 Karara Bima City. This can be seen from the fifth grade students of state elementary school 61 Karara Bima City in cycle one of 63,64 % and in cycle two the average student leraning outcomes increased to 90,90 %. Students activity in the learning process also increased, although based on the students activity sheet in cycle one several obstacles were still felt cycle two showet significant improvement.
Implementasi Contextual Teaching Learning dalam Pembelajaran untuk Meningkatkan Keaktifan Siswa Rosalina; Widyaswarani, Elyvia; Angga Saputra, Frasetyo; Aulia Nurcholis, Rahma; Fitroh Lutfiana, Ayun
Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya Vol. 30 No. 5 (2024): Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Student engagement in learning is a crucial indicator of the success of the teaching and learning process. However, many students tend to remain passive during lessons. One approach that can enhance student engagement is Contextual Teaching and Learning (CTL). This study aims to explore the implementation of CTL and its impact on increasing student engagement through a narrative literature review (NLR). The literature review was conducted by analyzing various scholarly sources discussing the application of CTL in learning. The findings indicate that CTL consists of several key components, namely constructivism, questioning, inquiry, learning community, modeling, reflection, and authentic assessment. These components significantly contribute to increasing student participation, fostering critical thinking, and enhancing learning motivation. Additionally, CTL-based learning strengthens students’ social skills through more effective interaction and collaboration. Therefore, CTL serves as a relevant instructional strategy for educators in creating a more interactive, meaningful, and contextual learning environment
Identifikasi Keaslian Uang Kertas Menggunakan Metode K-Means Clustering Ramadhan Faddilah Akbar; Emilia Roza; Sofia Pinardi; Rosalina
Jurnal Surya Energy Vol. 10 No. 2 (2026)
Publisher : Teknik Elektro, Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jse.v10i2.997

Abstract

Kasus peredaran uang palsu merupakan masalah yang cukup serius bagi suatu negara. Penelitian ini bertujuan mengembangkan sistem identifikasi keaslian uang kertas Rupiah menggunakan K-Means Clustering yang diintegrasikan dengan teknik pengolahan citra digital dengan memanfaatkan 2 fitur visual utama yaitu Local Binary Pattern (LBP) dan Laplacian of Gaussian (LoG) sebagai parameter analisis. Metode yang digunakan yaitu algoritma K-Means Clustering yang dipilih karena efisien dalam mengelompokkan data citra berdasarkan pola tekstur dan tepi. Sistem ditargetkan mencapai akurasi 80%, namun hasil pengujian menunjukkan performa dibawah target. Berdasarkan hipotesa hasil penelitian pada sistem identifikasi keaslian uang kertas menggunakan K-Means Clustering dengan menggabungkan kedua fitur yang terintegrasi dengan teknik pengolahan citra digital, dapat ditarik kesimpulan sebagai berikut: Sistem yang dikembangkan belum berhasil mencapai target akurasi 80% yang ditetapkan dalam tujuan penelitian. Akurasi tertinggi yang diperoleh adalah 70.00% pada pengujian citra keseluruhan. Sedangkan akurasi terendah adalah 53.33% pada pengujian citra ROI. Penggabungan dua fitur visual utama Local Binary Pattern (LBP) dan Laplacian of Gaussian (LoG) menunjukkan karakteristik yang berbeda untuk uang asli dan palsu. Uang asli cenderung memiliki nilai Mean LBP sekitar 0.65 yang menunjukkan konsistensi teksutr, sedangkan uang palsu menunjukkan Edge Density yang relatif tinggi dibanding uang asli, mengindikasikan variasi tepi yang lebih besar. Algoritma K-Means Clustering dapat membedakan uang asli dan palsu berdasarkan kombinasi fitur yang diesktraksi, namun tingkat akurasi yang dihasilkan masih dibawah ekspetasi. Pengujian pada citra keseluruhan memberikan hasil yang lebih baik dibandingkan ROI, sehingga pemilihan area analisis memengaruhi performa sistem.
Co-Authors Abrar Dhiya Rabbani Agus Fikri Aimin, Almu Akhmad Haqiqi Ma’mun Akhmad Rizal Dzikrillah Andi Primafira Andi Primafira B. Eka Angga Saputra, Frasetyo Aprilia, Nulia Angga Arham, Aulia Aris Iwansyah Aryanti, Neency Asya, Beuty Atika Pratiwi Aulia Nurcholis, Rahma Bedra, Kddour Guettaoui Candra Irawan Dwi Apriliani, Fani Eko Yulianto Emilia Roza Evelin, Rika Isti Fadhlan Nurrachman Fidella Irtza Nathania Firman Noor Hasan Fitroh Lutfiana, Ayun Genta Sahuri Gripsy Adeep Firmansyah Husna, Mardiatul Irawati Islam, Prasetyo Fajar Iza Khoirina Jaka Waskito K. Brantakesuma, Rasikhansa Maharani, Dea Malik Emir Hafta Marendra, Fajar Martina Nafratilawati Mona Saparwati Ni Nyoman Wulan P. I Nunik Cokrowati Nunik Pratiwi Oktarina Heriyani Pratama Sutisna, Drian Putri, Imalia Dwi Ramadhan Faddilah Akbar Ramadhan, Muhammad Arif Rendi Saputra Riatulhilal Riyan Ariyansah Riza, Ozzy Secio Rizal Zaki Ramadhan Rizki Plasnajaya Ryansani, Fahri Safira, Devita Sahban Santi Octavia Saputra, Rivaldi Ananda sari, Devi Sistani, Muhammad Ghiffar Sofia Pinardi Sutarni, Yayan Dwi Syarifuddin Utami, Andita Widayanti, Rizka Widya Khoirun Nisa Widyaswarani, Elyvia Wynne, Elizabeth Yoga Budi Santoso Yuni Utami Zulaika, Amanda