https://journal.its.ac.id/index.php/geoid <p>The journal is published biannual in March and September by the Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember (ITS). It is open access to all scientists, researchers, students, and other scholars. The goal of this journal is to provide a platform for scientists and academicians to promote, share, exchange, and discuss various issues and developments in different areas of Geodesy and Geomatics. We receive manuscripts from reputable universities all over Indonesia, universities abroad, and other government and private institutes. All manuscripts must be prepared in either English or Indonesian and are subject to a fair peer-review process.<br /><br />General topics of interest include:<br />- Geodesy and geomatics development theory<br />- Geodesy and geomatics applications<br />- Natural Disaster<br />- Land and Ocean Development<br />- Natural Resources<br />- Environment<br />- Science and technology in Mapping and Surveying<br />- The further issue related to geodesy and geomatics engineering<br /><br /></p> Departemen Teknik Geomatika ITS en-US GEOID 1858-2281 https://journal.its.ac.id/index.php/geoid/article/view/8714 <p>The analytical hierarchy process (AHP) model has been deemed by researchers with various backgrounds as an alternative solution due to the rapid, flexible, cost-effective, and high accuracy of groundwater potential assessment based on expert judgment, especially in complex geological settings. This paper specifically reviews research trends, key influence factors, model techniques, and validation process in AHP for groundwater availability assessment using bibliometric mapping and systematic literature review (SLR). The result reveals that AHP has been consistently utilized over the past decade (2015-2024), commonly combined, and integrated with statistical and machine learning models to enhance accuracy. Thirty-eight influence factors were observed and categorized into 5 groups (geology, hydrogeology, geomorphology, hydrology, and socio-environmental). The five most influential factors with significant normalized weight values are lithology, geomorphology, drainage density, rainfall, and lineament density, respectively. Well yield and groundwater level are most validation data using receiver operating characteristic (ROC) and area under curve (AUC) approach to evaluate the model. Considering hydrogeological insight, multicollinearity, validation, and sensitivity analysis are crucial to reduce bias and enhance better understanding of site-specific factors.</p> Samsul Rizal T Yan W M Iskandarsyah Hendarmawan Hendarmawan Copyright (c) 2025 GEOID 2026-01-01 2026-01-01 21 1 1 25