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All Journal JGE (Jurnal Geofisika Eksplorasi) Jurnal Geosaintek JOURNAL ONLINE OF PHYSICS Seminar Nasional Lahan Suboptimal JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Geofisika Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Tiyasadarma: Jurnal Pengabdian Kepada Masyarakat Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) Intechno Journal : Information Technology Journal Jurnal Meteorologi dan Geofisika Journal of Rural Community Development (JRCD) Jurnal Geosaintek
Resta, Ichy Lucya
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Physics Social Sciences Other

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Penguatan Keterampilan Riset dan Penulisan Tugas Akhir Mahasiswa Fisika Universitas Jambi Anggraini, Rista; Lucky Zaehir Maulana; Yoza Fendriani; Samsidar; Husnul Hamdi; Frastica Deswardani; Febri Berthalita Pujaningsih; Jesi Pebralia; Alrizal; M. Ficky Afrianto; Ichy Lucya Resta
Journal Of Rural Community Development Vol. 3 No. 2 (2026): Volume 3 Nomor 2 2026
Publisher : Jurusan Ilmu Sosial dan Ilmu Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/zkmjvj19

Abstract

The completion of a final project is an essential component of higher education and often presents significant challenges for students, including those in the Physics Study Program at Universitas Jambi. Various obstacles, such as difficulties in selecting research topics, formulating research problems, designing research methodologies, and producing academic writing in accordance with scientific standards, may hinder the timely completion of studies. Therefore, this community service activity aimed to enhance students' understanding of research skills and final project writing through a webinar on research and scientific writing enhancement. The activity was conducted online via Zoom Meeting on November 20, 2025, involving students from the Physics Study Program of Universitas Jambi. The methods employed included training and academic assistance through lectures, discussions, and interactive question-and-answer sessions. The effectiveness of the activity was evaluated using pre- and post-webinar questionnaires. The results indicated an improvement in participants' understanding across all assessed aspects. The average percentage of participants categorized as not understanding and having low understanding decreased from 10.92% and 45.22% to 0.92% and 14.44%, respectively. In contrast, the average percentage of participants categorized as moderately understanding and highly understanding increased from 34.78% and 8.54% to 49.32% and 37.16%, respectively. These findings demonstrate that the webinar effectively improved students' understanding of final project preparation. Similar activities should be conducted continuously to support the improvement of scientific writing quality and the timely completion of students' studies.
Rainfall Prediction Using Random Forest with Synthetic Minority Over-Sampling Technique (SMOTE) Sri Bintang Marpaung; Ichy Lucya Resta; Tugiyo Aminoto
Intechno Journal : Information Technology Journal Vol. 8 No. 1 (2026): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2026v8i1.2939

Abstract

Rainfall is a crucial meteorological parameter that directly affects maritime activities and port operations, particularly in coastal regions. Tanjung Perak Port, as one of the busiest ports in Indonesia, is highly vulnerable to weather disturbances due to rainfall variability. This study develops a rainfall prediction model based on machine learning using the Random Forest algorithm optimized with the Synthetic Minority Over-Sampling Technique (SMOTE) to address data imbalance. Daily meteorological data for 2013-2024 were obtained from NASA POWER, including rainfall, minimum and maximum temperature, relative and specific humidity, wind speed, and surface pressure. Model performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). SMOTE improved the model's ability to identify high-intensity rainfall events. The combined 2024-2025 evaluation produced an MAE of 1.457 mm, an RMSE of 1.819 mm, and R² of 0.861. The model therefore captures seasonal rainfall patterns and has potential as a decision-support tool for weather-risk mitigation at Tanjung Perak Port.
Co-Authors -, Maison Adhitya, Bagus Afrianto, M Ficky Afrianto, Muhammad Ficky Agus Kurniawan Mastur Airunisa, Airunisa Alrizal Alrizal, Alrizal Amalina Fauziyah, Annisa Amelia Fitri Ramadhani Andriani, Aulia Anggia Harahap, Iryuvelamea Anggraeni, Rista Mutia Anggraini, Rista Arie Satria Astuti, Putri Efendi, Agustian Ermadani Ermadani Fadlan Risky, Khoirul Faizar Farid Febri Berthalita Pujaningsih Fernando Mersa Putra Fitri Ramadhani, Amelia Frastica Deswardani Futra Kibayutullah Gemilang, Rio Hidaya, Rizky Husnul Hamdi Husnul Hamdi ira kusuma dewi Jesi Pebralia Juventa, Juventa Kibayutullah, Futra kusuma dewi, ira Lefdiana, Aura Lucky Zaehir Maulana M.Z, Nazri Madyawati Latief Mahardika, Rizky Maulina Tanjung Muhammad Yuwanda Musyarofah, Leni Nurli Mz, Nasri Nasri MZ Nasri MZ Ngatijo Ngatijo Novianda, Cici Nuklirullah, Nuklirullah Randa Pranata, Abimbi Riany, Hesti Rifqi Muhammad Rikaldo Pratama Rikaldo Pratama Riski Novrianti Rizky Mahardhika Rizky Marpaung, Ahmad Said, Yulia Morsa Samsidar Samsidar Samsidar Sarwo Sucitra Amin Satria, Arie Sefiyanti, Fani Setiawan, Rendy Agus Sitompul, Jeremia Situmorang, Salomo Sri Bintang Marpaung Syawalia, Nurlaili Tugiyo Aminoto Windhanu, Ilham Jaya Wiratama, Jarot Wiwid Joni Yoza Fendriani Yurismawan, Yurismawan