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All Journal Jurnal Natural Jurnal Tiyasadarma: Jurnal Pengabdian Kepada Masyarakat
Maulina Tanjung
Universitas Jambi
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Immunology & microbiology Neuroscience Physics

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Comparison of interpolation methods based on Geographic Information System (GIS) in the spatial distribution of seawater intrusion MAULINA TANJUNG; SAUMI SYAHREZA; MUHAMMAD RUSDI
Jurnal Natural Volume 20 Number 2, June 2020
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.723 KB) | DOI: 10.24815/jn.v20i2.16440

Abstract

The study of monitoring seawater intrusion and groundwater quality in a coastal area needs to be done regularly to prevent the clean water crisis problems in the future. Accurate and reliable interpolation of seawater intrusion over a region is the requirement of an efficient monitoring. In this study, different interpolation methods were investigated and compared to determine the best interpolation method for predicting the spatial distribution of seawater intrusion in the coastal area of Banda Aceh. Groundwater electrical conductivity (EC) was analyzed to identify the contamination of seawater intrusion into the coastal aquifers. Four interpolation methods such as Empirical Bayesian Kriging (EBK), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW), and Local Polynomial Interpolation (LPI), were used to create the spatial distribution of the groundwater electrical conductivity. The accuracy of interpolation methods was evaluated by using a cross-validation technique through the coefficient of determination (R2) and the Root Mean Square Error (RMSE). The results showed that IDW performed the most accurate prediction values and the best surface which were indicated by the least RMSE and the highest R2 value. It can be concluded that IDW interpolation method is the best method for interpolating the groundwater electrical conductivity associated with seawater intrusion in the coastal area of Banda Aceh.
Comparison of interpolation methods based on Geographic Information System (GIS) in the spatial distribution of seawater intrusion MAULINA TANJUNG; SAUMI SYAHREZA; MUHAMMAD RUSDI
Jurnal Natural Volume 20 Number 2, June 2020
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v20i2.16440

Abstract

The study of monitoring seawater intrusion and groundwater quality in a coastal area needs to be done regularly to prevent the clean water crisis problems in the future. Accurate and reliable interpolation of seawater intrusion over a region is the requirement of an efficient monitoring. In this study, different interpolation methods were investigated and compared to determine the best interpolation method for predicting the spatial distribution of seawater intrusion in the coastal area of Banda Aceh. Groundwater electrical conductivity (EC) was analyzed to identify the contamination of seawater intrusion into the coastal aquifers. Four interpolation methods such as Empirical Bayesian Kriging (EBK), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW), and Local Polynomial Interpolation (LPI), were used to create the spatial distribution of the groundwater electrical conductivity. The accuracy of interpolation methods was evaluated by using a cross-validation technique through the coefficient of determination (R2) and the Root Mean Square Error (RMSE). The results showed that IDW performed the most accurate prediction values and the best surface which were indicated by the least RMSE and the highest R2 value. It can be concluded that IDW interpolation method is the best method for interpolating the groundwater electrical conductivity associated with seawater intrusion in the coastal area of Banda Aceh.
Pengenalan Teknologi Digital Berbasis Bencana untuk Mencapai Disaster Resilience bagi Siswa Sekolah Dasar Ichy Lucya Resta; Husnul Hamdi; Fendriani, Yoza; Fernando Mersa Putra; Maulina Tanjung
Jurnal Tiyasadarma Vol. 2 No. 2 (2025): Vol. 2 No. 2 (2025): Januari 2025 | Jurnal Tiyasadarma
Publisher : LPPM ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jta.v2i2.330

Abstract

The urgency of introducing disaster-based digital technology to elementary school students is increasing along with the rising frequency and intensity of natural disasters in Indonesia, particularly in Kerinci Regency. The lack of students' understanding about disaster risks and their mitigation could hinder the achievement of disaster resilience at the community level. The activity was conducted at SDN 48/III Sungai Jambu, Kerinci Regency, involving 20 students. The method used was technology-based learning with a participatory approach, engaging students in discussions, simulations, and the use of the application to understand disaster risks in their surrounding environment. Evaluation was carried out using a survey to assess students' satisfaction with the activity and changes in their understanding of disaster-related topics. Survey results showed that most students were satisfied with the activity and found it beneficial in improving their knowledge of disaster mitigation. Additionally, students demonstrated a better understanding of mitigation measures after participating in the activity. The use of digital technology in disaster education proved to be effective in building awareness and disaster preparedness among students. This activity can serve as a model for enhancing disaster education in other schools, especially in disaster-prone areas.
Co-Authors Fernando Mersa Putra Husnul Hamdi MUHAMMAD RUSDI Resta, Ichy Lucya SAUMI SYAHREZA Yoza Fendriani