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Muhammad Aldila Syariz
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aldilasyariz@its.ac.id
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aldilasyariz@its.ac.id
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Geomatics Engineering's Building, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
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Kota surabaya,
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Geoid - Journal of Geodesy and Geomatics
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 18582281     EISSN : 24423998     DOI : https://doi.org/10.12962/geoid.v20i1
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science
General topics of interest include: - Geodesy and geomatics development theory - Geodesy and geomatics applications - Natural Disaster - Land and Ocean Development - Natural Resources - Environment - Science and technology in Mapping and Surveying - Earth Sciences A further issue related to geodesy and geomatics engineering such as: - Optical Remote Sensing and Radar Remote Sensing - Cadastre and 3D Modeling - Geodynamics theory and application - Geospatial - Land Surveying - Geomarine - Photogrammetry
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 21 No. 1 (2026)" : 4 Documents clear
Bibliometric Mapping and Systematic Review of the Analytical Hierarchy Process (AHP) in Groundwater Potential Assessment Last Decade (2015-2024): Global Trend, Model Combination, Influence Factor, and Validation Samsul Rizal; T Yan W M Iskandarsyah; Hendarmawan
GEOID Vol. 21 No. 1 (2026)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v21i1.8765

Abstract

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.
Land Cover Mapping and Prediction Using Cellular Automata and Markov Chain (Case Study: Depok City, Indonesia) Muhammad Arya Pradipta; Megivareza Putri Hanansyah; Filsa Bioresita; Noorlaila Hayati; Lalu Muhamad Jaelani; Bangun Muljo Sukojo, Husnul Hidayat
GEOID Vol. 21 No. 1 (2026)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v21i1.8766

Abstract

Depok City, a satellite city of Jakarta, is experiencing massive urbanization due to Jakarta's role as an economic hub, leading to significant land-use changes. This study analyses land cover in Depok City annually from 2017 to 2024 across five categories: Built-up Area, Vegetation, Agricultural Land, Bare Land, and Water Body. This process utilizes the Extreme Gradient Boosting algorithm applied to Sentinel-2 Level-1C satellite imagery for the specified period. Subsequently, we predict Depok City's land cover conditions for the year 2042 using a Cellular Automata-Markov Chain simulation. This simulation incorporates historical land cover maps, which were generated previously, along with driving factors such as distance from main roads and distance from health and educational facilities. The year 2042 was chosen to coincide with the expiration of Peraturan Daerah Nomor 9 Tahun 2022, law product concerning the Depok City Spatial Plan for 2022-2042. The final outputs of this research are land cover maps of Depok City for each year from 2017 to 2024, as well as a predicted land cover map for Depok City in 2042. The study found that from 2017 to 2024, the built-up area and vegetation land cover category showed an increasing trend in extent, while the remaining land cover categories decreased. Prediction model of year 2042 shows predicted expansion of Built-Up land and Vegetation land cover categories, while other land cover categories predicted to decrease.
Analysis of Seasonal Patterns of Atmospheric Water Vapour and Rainfall in East Kalimantan and North Kalimantan Using the Lomb–Scargle Periodogram Method Agus Ariyanto; Eko Yuli Handoko; Putra Maulida
GEOID Vol. 21 No. 1 (2026)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v21i1.8767

Abstract

This study examines the seasonal trends of Precipitable Water Vapour (PWV) obtained from GNSS data (2021–2023) and decadal rainfall data from BMKG (2001–2020) in East and North Kalimantan, employing the Lomb–Scargle Periodogram (LSP) method. The findings indicate that PWV is mostly influenced by an equatorial semi-annual cycle (about 0.5 years), while precipitation typically adheres to a monsoonal annual pattern (around 1 year). The correlation between PWV and precipitation is not wholly linear, exhibiting significant local variability in coastal areas. The LSP approach is effective in identifying dominant frequencies, albeit it exhibits reduced sensitivity to non-stationary fluctuations in atmospheric signals.
Identification of the Best Semivariogram Model for the Blending of In-Situ and ERA5-Land Air Temperature Data Using the Kriging with External Drift Technique Fatchiyah; Eko Yuli Handoko; Ardhasena Sopaheluwakan; Robi Muharsyah
GEOID Vol. 21 No. 1 (2026)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v21i1.8768

Abstract

Accurate air temperature monitoring is essential for understanding climate dynamics and microclimates, particularly in regions with diverse topography. The limited number of observation stations often results in data that do not fully represent actual conditions. To address this gap, combining in-situ measurements with ERA5-Land reanalysis presents a promising alternative, although ERA5-Land may still exhibit biases in mountainous or urban areas. This study applies Kriging with External Drift (KED) to improve temperature estimation, focusing on identifying the most suitable semivariogram model. Daily and monthly analyses were conducted, with performance evaluated using RMSE, MAE, and MSE. The results indicate that the Spherical model consistently performs best for average and maximum temperatures, while the Exponential model provides better estimates for minimum temperature at the daily scale, and the Linear model at the monthly scale. These findings demonstrate that KED can significantly enhance temperature estimation in areas with sparse observations, while also highlighting the most reliable semivariogram models for different temperature parameters.

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