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All Journal Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Renewable Energy, Electrical, and Computer Engineering Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of Climate Change Society
Nofi Yendri Sudiar
Universitas Negeri Padang
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Pengabdian kepada Masyarakat di Nagari Koto Tinggi, Padang Pariaman: Pembuatan Peta Batas Administrasi Nagari dengan Menggunakan Drone Nofi Yendri Sudiar; Akmam Akmam; Dedy Fitriawan; Mohammad Isa Gautama; Randy Putra; Hendra Anwar
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 7 No 2 (2025): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v7i2.1404

Abstract

Ketidakjelasan batas wilayah administratif sering kali menimbulkan berbagai permasalahan dalam pengelolaan sumber daya alam, perencanaan pembangunan, dan penyelesaian sengketa antar wilayah. Kegiatan pengabdian ini bertujuan untuk membantu Nagari Koto Tinggi di Kabupaten Padang Pariaman dalam pembuatan peta batas wilayah yang akurat dan sah, guna mendukung pengelolaan administrasi nagari yang lebih efektif. Metode yang digunakan meliputi Forum Grup Diskusi (FGD) sebagai pendekatan partisipatif untuk menentukan titik-titik pembatas bersama dengan delapan nagari tetangga yang berperan sebagai informan untuk menentukan batas-batas nagari, serta pemetaan menggunakan teknologi drone untuk menghasilkan citra udara beresolusi tinggi. Hasil pengabdian ini menunjukkan bahwa kombinasi metode FGD dan pemetaan drone berhasil menghasilkan peta batas yang akurat dan sesuai dengan pemahaman masyarakat lokal. Peta ini tidak hanya menyelesaikan masalah ketidakjelasan batas administratif, tetapi juga memberikan dasar yang kuat untuk perencanaan pembangunan, pengelolaan sumber daya alam, dan penghindaran konflik antar nagari. Kesimpulannya, penggunaan teknologi drone dalam pemetaan batas wilayah, dikombinasikan dengan pendekatan partisipatif melalui FGD, merupakan strategi efektif untuk meningkatkan akurasi dan legitimasi peta administrasi, serta memperkuat koordinasi antar wilayah di Nagari Koto Tinggi.
Analysis of Heavy Rainfall Using Radar Image Data, Satellite Images, and Rainfall Stations in the City of Padang Ferdi Agusrianto; Nofi Yendri Sudiar; Harman Amir; Zulhendra
Journal of Climate Change Society Vol. 4 No. 1 (2026)
Publisher : Universitas Negeri Padang

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

Abstract

Padang City, as the capital of West Sumatra Province, often experiences heavy rains that can cause flooding and landslides. This phenomenon of heavy rainfall is a matter of serious concern due to its impact on the lives of the community, infrastructure, and the regional economy. On March 7, 2024, heavy rainfall occurred in Padang City, triggering flooding and causing loss of life and property. The analysis was conducted using weather radar imagery, satellite imagery, and rainfall observation data from several rain gauges in Padang City. To obtain representative rainfall data with broad spatial coverage, the use of remote sensing data such as weather radar images and satellite images is vital, especially for areas with a limited number of rain stations or difficult-to-reach topography. Therefore, this study aims to analyze the comparison of rainfall data based on radar imagery, satellite imagery, and rain gauge data to understand the advantages and limitations of each instrument. The combination of these three data sources is very important to improve the accuracy of rainfall monitoring. The research method used in this study is quantitative research using data from the BMKG. The results of the analysis obtained from the error and correlation, both from radar data and satellite imagery, generally show a tendency to underestimate the rainfall observed at rain gauges in Padang City, as indicated by the Mean Error (ME) value, which is predominantly negative at almost all rain gauges.
Prediction of Tropical Cyclone Trajectory and Intensity Using a Particle Motion Based Machine Learning Framework in the Southern Indian Budi Iman Samiaji; Yulkifli Yulkifli; Yohandri Yohandri; Nofi Yendri Sudiar; Supari Supari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19982

Abstract

Tropical cyclones in the Southern Indian Ocean pose severe threats to coastal infrastructure and socio-economic stability, yet predicting their recurving trajectories and intensity remains a significant meteorological challenge. This study evaluates the performance of a particle-motion-based machine learning framework, utilizing the Trackpy library, to forecast cyclone behavior. Leveraging historical data from 2018 to 2025 (JTWC and IBTrACS), the model treats cyclones as physical particles with temporal inertia, employing a multi-lag feature to capture movement momentum. Evaluation using a dataset of 115 cyclones (78:22 train/test ratio) reveals that the Trackpy framework achieves high spatial precision, with Mean Squared Error (MSE) values of 0.1728 for latitude (±33.3 km) and 1.0250 for longitude (±53.2 km). While the intensity prediction yielded a higher MSE of 47.7544 (approximately 6.9-knot deviation), the model successfully captured major strengthening and weakening phases across prominent cyclones, including TC Wallace and TC Neville. These findings demonstrate that integrating temporal inertia is highly effective for maintaining trajectory consistency, establishing Trackpy as a robust architectural foundation for operational forecasting. Further optimization via hybrid models and additional meteorological variables is recommended to enhance intensity accuracy.
Literature Review: Solar Energy for Alternative Renewable Energy and Potential Application in Indonesia Andi Sulistiyono; Hamdi Rifai; Nofi Yendri Sudiar
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.16143

Abstract

Electrical energy has become a human need along with economic improvements and technological advances that require an unlimited supply of energy. Its nature is limited to fossil energy sources and also causes environmental pollution, so it is necessary to use renewable energy as another energy source to overcome this problem. Solar energy is freely available, is an environmentally friendly energy source whose application results have been proven and have promising prospects for the future. This paper presents the results of a research review on the use of solar energy as an alternative source of renewable energy, the basic concept of obtaining it and some results of using this energy. Next, we will briefly review the potential and use of solar energy sources in Indonesia. The high potential of solar energy in Indonesia needs to be processed and regulations that support the development of solar energy power plants as an alternative energy. Technically, solar photovoltaic energy has the potential to become an alternative energy source for the masses in the future as a substitute for fossil energy and to meet the electrical energy needs of remote areas.
Co-Authors Akmam Akmam Andi Sulistiyono Budi Iman Samiaji Dedy Fitriawan Ferdi Agusrianto Gautama, Mohammad Isa Hamdi Rifai Harman Amir Hendra Anwar Heron Tarigan Randy Putra Supari Supari Violita Violita Yohandri Yolanda Karinia Yulkifli Yulkifli Zulhendra Zulhendra