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Smart Mom Project: Meningkatkan Peran Ibu dalam Pendidikan Anak melalui Literasi Digital: Smart Mom Project: Enhancing Mothers’ Role in Children’s Education through Digital Literacy Ahmad Umam Aufi; Dhesi Wulan Sari; Helena Devi Ariyani; Deri Herdawan; Khoirotun Nafillah; Kirtyana Nindita
DARMADIKSANI Vol 6 No 1 (2026): Edisi Maret
Publisher : Jurusan Pendidikan Bahasa dan Seni, FKIP, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/darmadiksani.v6i1.9401

Abstract

Kegiatan Pengabdian kepada Masyarakat bertajuk “Smart Mom Project: Meningkatkan Peran Ibu dalam Pendidikan Anak melalui Literasi Digital” dilaksanakan di RT 9 RW 1 Krajan, desa Wringinputih, kecamatan Bergas, kabupaten Semarang. Kegiatan ini dilatarbelakangi oleh rendahnya literasi digital ibu rumah tangga yang berdampak pada kurang optimalnya pendampingan belajar anak serta pengelolaan penggunaan gawai (gawai) di lingkungan keluarga. Hasil observasi awal menunjukkan keterbatasan kemampuan ibu dalam mengoperasikan smartphone, memahami platform pembelajaran daring, serta rendahnya pemahaman terkait keamanan digital dan pengelolaan waktu layar anak. Tujuan kegiatan ini adalah meningkatkan kemampuan literasi digital ibu rumah tangga agar mampu mendampingi pendidikan anak secara lebih aktif, bijak, dan terarah di era digital. Metode pelaksanaan meliputi pelatihan klasikal, demonstrasi langsung, praktik mandiri, diskusi kelompok, serta pendampingan melalui kunjungan rumah dan komunikasi daring. Materi yang diberikan mencakup literasi digital dasar, pemanfaatan gawaigawai untuk pembelajaran, pengaturan parental control, pemilihan konten edukatif, serta pengelolaan screen time anak. Hasil kegiatan menunjukkan peningkatan signifikan pada pengetahuan dan keterampilan digital peserta. Secara kuantitatif, 85% peserta mampu mengatur fitur keamanan digital, 90% mampu membedakan konten edukatif dan non-edukatif, serta 80% berhasil menerapkan pengelolaan screen time anak secara lebih terstruktur. Secara kualitatif, peserta menunjukkan peningkatan kepercayaan diri dalam mendampingi anak belajar, interaksi keluarga yang lebih positif, serta penurunan konflik terkait penggunaan gawaigawai. Kegiatan ini berhasil memperkuat peran ibu dalam pendampingan pendidikan anak berbasis literasi digital dan berkontribusi pada terciptanya lingkungan belajar keluarga yang lebih sehat.
Effectiveness of PhET Simulation in Acid–Base Practicum for Maritime Engineering Students: Alignment with IMO Model Course 7.04 Khoirotun Nafillah; Helena Devi Ariyani; Kirtyana Nindita; Fajar Sari Kurniawan; Ahmad Umam Aufi
Jurnal Inovasi Pembelajaran Kimia Vol. 8 No. 1 (2026): APRIL 2026 EDITION
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/16jkaq62

Abstract

This study aims to examine the effectiveness of PhET Simulation in acid–base practicums for maritime engineering students. The study addresses common challenges in basic chemistry practicums, including limited laboratory facilities, restricted practicum time, and students’ low conceptual understanding. As a novel contribution, this study provides empirical evidence on the use of interactive virtual simulations in the context of maritime vocational education aligned with IMO Model Course 7.04. A pre-experimental one-group pretest–posttest design was employed involving 72 first-semester students. Data were collected using a validated and reliable multiplechoice test and analyzed using non-parametric statistical methods. The results indicate a significant improvement in students’ learning outcomes after the implementation of PhET Simulation. These findings suggest that virtual laboratory simulations are an effective alternative to support conceptual understanding in acid–base learning. Furthermore, this study highlights the potential of integrating digital simulation tools into maritime chemistry education to support competency standards outlined in IMO Model Course 7.04. 
Pemodelan Graf Berarah Berbobot untuk Optimasi Penentuan Rute Terpendek Antar Kampus Polimarin Berbasis Algoritma Dijkstra Helena Devi Ariyani; Khoirotun Nafillah; Kirtyana Nindita; Ngatmin Ngatmin; Sri Tutie Rahayu
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.37524

Abstract

The mobility of academicians between the two geographically separated campuses of the Indonesian Maritime State Polytechnic (Polimarin), namely Campus 1 Ungaran and Campus 2 Bendan Duwur Semarang, creates travel efficiency issues due to numerous unmeasured route alternatives. This study aims to model the inter-campus road network as a weighted directed graph and apply the Dijkstra algorithm to determine the shortest route accurately and verifiably. The research employs an applied computational approach using actual distance data obtained from Google Maps (driving mode), collected on August 22, 2024, at 09:00 WIB to represent traffic conditions at that time. The process includes node identification (strategic locations), edge formation (connecting road segments), and weight assignment based on actual distances, resulting in a graph with 9 nodes and 10 edges. The iteration process is conducted in 8 steps by evaluating the minimum accumulated weight at each stage. The results indicate that the shortest path is A → B → E → G → H → I, passing through Jl. PTP Ngobo, Jl. Diponegoro–Jl. Slamet Riyadi, Jl. Moh. Yamin–Jl. Ahmad Yani, and Jl. Gatot Subroto, with a total distance of 25.80 km out of 11 possible routes. These findings demonstrate that the Dijkstra algorithm is effective for route optimization by eliminating inefficient paths through cumulative weight evaluation. Validation is performed by comparing the algorithm’s results with Google Maps recommendations based on travel distance. However, this study is limited to static data, and further development is required through the integration of dynamic traffic data.