Siti Hairunnisa Norfahmi
Physics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Bengkulu

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Seasonal Variation of Ekman Transport in the Southern Waters of West Sumatra Agustina Siregar; Anjasman Anjasman; Septi Johan; Siti Hairunnisa Norfahmi; Lizalidiawati Lizalidiawati
Jurnal Kelautan Tropis Vol 29, No 1 (2026): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v29i1.30594

Abstract

This study examines seasonal variations in Ekman transport in the southern waters of western Sumatra using wind, ocean current, and sea level data from the Copernicus Marine Service for the period 2023–2024.  Data analysis was conducted spatially and temporally using Panoply, Python, and ArcGIS software. The results show that Ekman transport dynamics are significantly influenced by changes in the direction and intensity of the Asian–Australian monsoon winds. Maximum transport values were identified in the East Season at 4-5 m3/s due to strengthening southeasterly winds, while minimum values occurred in the West Season at 1-2 m3/s when westerly winds dominated the region. These seasonal variations show a close relationship with changes in surface currents and sea level, reflecting the dynamic response of the oceanographic system to the influence of wind friction. These results reinforce the understanding that Ekman transport plays an essential role in controlling regional ocean circulation patterns and provides an important scientific basis for marine resource management in the waters west of Sumatra.
Enhancing Technological Literacy of Students and Teachers through Robotics and Introduction to Artificial Intelligence Riska Ekawita; Iwan Setiawan; Ashar Muda Lubis; Yazid Ismi Intara; Irkhos Irkhos; Siti Hairunnisa Norfahmi
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 3 (2026): August 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i3.2261

Abstract

Background: Robotics technology has evolved from merely representing technological progress to becoming an essential component of modern learning, supporting students’ creativity and logical reasoning. However, SMAN 8 Seluma faces limitations in its facilities and infrastructure, which prevent the integration of robotics and artificial intelligence (AI) into the learning environment. Purpose of the Study: To overcome this issue, a community service program was conducted to provide robotics training and AI introduction to 25 students and 3 teachers. Methods: The methods employed included the introduction of robot components, robot assembly practice, sensor development, and AI fundamentals. Results: From the activities, the participant groups successfully assembled a fully functional robot. The questionnaire results indicated a clear increase in students’ knowledge before and after the program. The pre-test results showed that 10% of participants were not familiar with robotics. Following the training sessions, this proportion improved to 100%, indicating that all participants had acquired an understanding of robotics. A similar pattern was observed for artificial intelligence (AI), where 30% of participants were initially unfamiliar with the technology; however, after the program, 100% of participants demonstrated an understanding of AI concepts)