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Pengelolaan Sungai dan Daerah Aliran Sungai (DAS) Guo berbasis Community Driven Program Nurhamidah Nurhamidah; Alfina Mursida AlJauhari; Tiara Assyifa Muthmainnah; Ahmad Junaidi; Masril Syukur
Warta Pengabdian Andalas Vol 32 No 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.32.2.167-176.2025

Abstract

Guo River is one of the 3 upstream branches in Kuranji, located at Lubuak Tampuruang in Guo Village RT 01 RW 06 Kuranji Village. As an upstream of Guo Riverr, it has several waterfalls with great potential as an ecotourism area in Padang City. This potential is threatened with failure due to river damage that often occurs every year. The amount of sediment carried during the rainy season and the presence of plants planted by the community on theriverbanks have slowed the water flow and eventually caused sediment to accumulate on the cliffs of the middle section of the Guo River. Sediment accumulation causes changes in the river's flow patterns and narrowing of the river's area. The lack of basic river and watershed management knowledge among the people of Guo Village leads to the degradation of land and river functions, and the low level of public awareness of the dangers of uncontrolled logging underlies the damage to the Guo River. Therefore, community-based structural and non-structural measures are needed to implement river management. Structural actions in this service focus on river management through river normalization, and non-structural actionstakeake the form of Focus Group Discussion (FGD) activities between the community and related stakeholders. The normalization of the Guo River will be carried out by cutting vegetation, removing sedimentation, and strengthening triverbanks.s. Through these activities, it is hoped that the community will be able to use the river and maintain it self-sufficiently.
Kajian Literatur Penggunaan Data Satelit GPM-IMERG pada Aplikasi Hidrologi Andari, Rafika; Nurhamidah
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Global Precipitation Measurement (GPM) – Integrated Multi-satellite Retrievals for GPM (IMERG) satellite data is one of the main sources of global rainfall estimates with high spatial and temporal resolution. This study aims to identify spatial, temporal, and methodological trends in research related to the use of GPM-IMERG between 2014 and 2024, as well as to assess the effectiveness of various bias correction methods in improving data accuracy and to examine the main hydrological applications utilising these data. A systematic review of over twenty scientific publications reveals that the use of GPM-IMERG has grown considerably since 2017, particularly in humid tropical regions such as Southeast Asia, South Asia, and Latin America. Methodologically, there has been a shift towards integrating GPM-IMERG with physically based hydrological models (e.g. SWAT, HEC-HMS and VIC) and machine learning algorithms (e.g. Random Forest and XGBoost) to improve the prediction of rainfall and river discharge. Analysis also shows that Quantile Mapping (QM) and Distribution Mapping (DM) provide the best correction performance, increasing NSE values by 20–35% in mountainous areas. Linear Scaling (LS) remains effective in tropical lowlands. The most prevalent hydrological applications are discharge modelling, flood analysis and drought monitoring. Key research gaps include the absence of long-term studies (>10 years), limitations in topographically complex regions and the lack of multi-sensor integration.
Pemberdayaan Petani melalui Pemanfaatan Solar Pump di Nagari Tanjung Barulak Kabupaten Tanah Datar: Empowering Farmers through the Adoption of Solar-Powered Pump Technology in Nagari Tanjung Barulak, Tanah Datar Regency Insannul Kamil; Is Prima Nanda; Ilhamdi Rusydi; Devi Chandra; Nurhamidah Nurhamidah; Ridwan Ridwan; Dendi Adi Saputra; Prima Fithri; Febi Putri Yastari
Jurnal Hilirisasi IPTEKS Vol. 9 No. 2 (2026)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v9i2.928

Abstract

This community engagement program aims to improve irrigation efficiency and reduce farmers' dependence on rain-fed water through the implementation of solar-powered pumping technology in Nagari Tanjung Barulak, Tanah Datar Regency, West Sumatra, Indonesia. The program adopted a Participatory Action Research (PAR) approach, actively engaging farmers in the planning, installation, training, and evaluation of the irrigation system. The intervention included the installation of a 25 kWp solar-powered pumping system equipped with photovoltaic (PV) panels and a DC submersible pump, followed by operational and maintenance training for approximately 30 farmers. The results demonstrated that the system was capable of irrigating approximately 100 hectares of agricultural land on a rotational basis, increasing irrigation water availability by up to 60% compared with previous conditions. In addition, irrigation operating costs were reduced by approximately 40% due to decreased reliance on fossil fuels. Farmers' knowledge and technical skills also improved substantially, with 85% of participants able to operate the system independently after completing the training. The program produced a fully functional solar-powered pumping system, practical training modules, and a community-based irrigation management group to ensure long-term sustainability. Overall, the findings indicate that implementing solar-powered irrigation through a participatory approach is an effective strategy for enhancing irrigation efficiency, lowering production costs, and strengthening farmers' capacity to manage water resources independently. The program offers a scalable and sustainable model that can be replicated in other regions with similar environmental and socio-economic characteristics.
Improving Water Supply Systems’ Resilience Variables Using The Fuzzy Delphi Method (FDM) R Hari Yuliandra; Nurhamidah Nurhamidah; Puti Sri Komala; Vera Surtia Bachtiar
Dampak Vol. 23 No. 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.23.1.88-102.2026

Abstract

This study examines the resilience variables of urban Drinking Water Supply Systems (WSS) in responding to floods, with a focus on West Sumatra Province, Indonesia, using the Fuzzy Delphi Method (FDM). The study identifies three main resilience properties: robustness, recovery, and learning, within a temporal framework. Thirteen sub-properties and 41 indicators were validated using FDM by 10 experts in fields relevant to the research topic. As a result, 12 sub-properties were accepted by expert consensus, while one sub-property, namely governmental situation awareness, was rejected because all three of its indicators failed to meet the validation criteria. A total of 33 out of 41 indicators were considered significant, relevant, and useful by the expert panel. Furthermore, the findings emphasize the critical role of the governmental dimension in determining the resilience level of SPAM in West Sumatra Province. These results will serve as a guide for policymakers in prioritizing resilience-based decisions to mitigate flood threats.
KOMPARASI DAN EVALUASI PRODUK SATELIT GPM IMERG DALAM MENGESTIMASI CURAH HUJAN DI DAS KURANJI Rafika Andari; Nurhamidah Nurhamidah
Jurnal Teknik SILITEK Vol. 4 No. 02 (2024)
Publisher : Fakultas Teknik Universitas Pasifik Morotai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/jwdjng80

Abstract

Penelitian ini mengevaluasi akurasi data curah hujan satelit GPM IMERG sebelum dan setelah kalibrasi di DAS Kuranji. Tujuannya adalah untuk menentukan ketepatan data satelit dalam merepresentasikan kondisi curah hujan aktual dan mencari metode untuk meningkatkan akurasinya. Hasil validasi menunjukkan bahwa data GPM IMERG dalam kondisi mentah memiliki korelasi yang moderat dengan data pengamatan di lapangan, namun nilai RMSE yang tinggi dan NSE yang negatif mengindikasikan akurasi yang rendah. Setelah dilakukan kalibrasi menggunakan analisis regresi, korelasi antara data satelit dan data pengamatan meningkat secara signifikan. Meskipun demikian, nilai NSE masih belum optimal, menunjukkan bahwa model satelit belum sepenuhnya mampu mereproduksi pola variabilitas curah hujan. Hasil penelitian ini menunjukkan bahwa data GPM IMERG memiliki potensi yang besar dalam analisis hidrologi, namun memerlukan proses kalibrasi yang cermat untuk meningkatkan akurasinya. Penelitian ini memberikan kontribusi penting dalam pengembangan metode pemanfaatan data satelit untuk mendukung berbagai aplikasi hidrologi, terutama di daerah dengan keterbatasan data pengamatan.