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All Journal Jurnal Technopreneur (JTech) J SIG (Jurnal Sains Informasi Geografi) Buletin Poltanesa Jurnal Agriment Madani: Jurnal Pengabdian Ilmiah. Sewagati Journal of Geomatics Engineering, Technology, and Science Geoid - Journal of Geodesy and Geomatics
Romansah Wumu
Politeknik Pertanian Negeri Samarinda
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Decadal Chlorophyll-a Dynamics and Trophic Status of Mahakam Delta Coastal Waters (2014–2024) Romansah Wumu; Suparjo Suparjo; Karno Karno; Nia Kurniadin
Poltanesa Vol 27 No 1 (2026): June 2026
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v27i1.3804

Abstract

Chlorophyll-a (Chl-a) is a key proxy for assessing phytoplankton biomass and trophic status of coastal waters. This study analyzes spatiotemporal Chl-a dynamics across three Areas of Interest (AOIs) in the Mahakam Delta coastal waters, East Kalimantan, Indonesia: Delta Mahakam (DM), Muara Badak-Marangkayu (MB), and Muara Jawa-Samboja (MJ). Monthly Chl-a data from the Copernicus Marine Ocean Color V6 (CMEMS) product were processed through Google Earth Engine from 2014 to 2024. DM recorded the highest mean Chl-a (5.30 ± 1.02 mg/m³), followed by MJ (3.01 ± 0.83 mg/m³) and MB (1.76 ± 0.60 mg/m³). Under OECD classification, DM was dominantly mesotrophic, MB oligotrophic, and MJ showed the only statistically significant increasing trend (R² = 0.518, p = 0.013). Chl-a peaked during the rainy season (October–March), driven by monsoonal riverine nutrient pulses. HYCOM surface currents confirmed that monsoon reversals modulate coastal phytoplankton distribution. These findings provide baseline data for coastal ecosystem monitoring and marine spatial planning in East Kalimantan.
Identifikasi Luasan Banjir Rob di Kota Semarang Pada Tanggal 24 Mei 2022 Menggunakan Citra Landsat Andi Nur Rahman; Nia Kurniadin; Romansah Wumu; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i2.16

Abstract

Tidal floods are floods that occur as a result of sea tides that inundate areas that have a lower elevation than sea level. The occurrence of tidal floods is due to sea level rise caused by tides, external forces such as water, wind, or swell (waves caused from a long distance), and storms which are natural phenomena that often occur at sea. A tidal flood in Semarang City on May 23, 2022, occurred with a height of 1.5 meters, occurred in the Tanjung Emas Port area. This tidal flood became the most severe flood in 2022. The utilization of remote sensing technology by using Landsat satellite imagery can be maximized to obtain information about tidal flood events that occurred in the city of Semarang. The purpose of this study was to find out how to identify the area of flooding using Landsat 8 and Landsat 9 imagery using the NDWI method and to determine the extent of the tidal flood that occurred on May 24, 2022, by comparing the wettability values of satellite imagery before and after the tidal flood. The results obtained are in the form of changes in the area of water bodies due to tidal flooding on the north coast of Semarang City in the Tugu sub-district 39.982 Ha; West Semarang 16.765 Ha; North Semarang 5.174 Ha; East Semarang 0.104 Ha; and Genuk 33.393 Ha.
Analisis Spasial Temporal Klorofil-a Perairan Ponelo Kepulauan Provinsi Gorontalo Tahun 2018-2022 Menggunakan Data Landsat 8 Romansah Wumu; Nia Kurniadin; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i2.17

Abstract

Indonesia's maritime area covers approximately 3.25 million km2, which means that 70% of Indonesia's total area is comprised of the ocean. This indicates the enormous potential that Indonesia's ocean holds. The ocean is a crucial resource for the Ponelo Islands community, whose main livelihood is fishing. The marine ecosystem is vulnerable to environmental changes and pollution. Chlorophyll-a can serve as an indicator of the health of marine waters. Mapping the distribution of chlorophyll-a on the ocean's surface can be achieved through remote sensing technology. The study utilized the Nuriya Algorithm (2010) to derive the chlorophyll-a content in surface waters using Landsat-8 data from 2018-2021. Data processing is done through Google Earth Engine (GEE) which has the ability to process large amounts of data quickly (Big Data). The findings indicate an increase in chlorophyll-a content in the waters of Ponelo Islands at the beginning (DOY 0-20) and end (DOY 300-325) of the year. On a spatial scale, the average chlorophyll-a is widely distributed in the waters of Ponelo but is more concentrated in the coastal areas. This indicates that coastal areas of the Ponelo Islands may be more vulnerable to pollution and environmental changes and require special attention in environmental management and marine ecosystem conservation efforts.
Analisis Deformasi Jalan Penghubung Antara Kelurahan Sanga-Sanga Dalam dan Kelurahan Pendingin Tahun 2015 dan 2021 Menggunakan Metode Interferometry Synthetic Aperture Radar Taufan Yanuar Muslim; Nia Kurniadin; Dyah Widyasasi; Romansah Wumu
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.28

Abstract

The rise of coal mining in the East Kalimantan area which is close to public road access is thought to affect the quality and sustainability of surrounding public road access. The aim of this research is to determine the use of remote sensing data to analyze land subsidence or deformation that occurs on the connecting road between Sanga-Sanga Dalam Village and Pendingin Village, Sanga-Sanga District, Kutai Kartanegara Regency. The method used in this research is quantitative descriptive, namely determining ground deformation on roads obtained by analyzing Sentinel-1 imagery in 2015 and Sentinel-1 imagery in 2021. Ground deformation can be identified using a satellite-based remote sensing method through interferometry of two SAR images (interferometry synthetic aperture radar or InSAR) uses the Sentinel application platform (SNAP) which is an open source software (FOSS) application. Interferometry can represent changes in the line of sight between the ground and satellites in general. Changes in line of sight can be interpreted as signals of ground deformation. The results of this research can provide adequate information regarding comparative data on land elevation on the Sanga-Sanga Dalam - Pendingin road from several points experiencing land subsidence or deformation on average of 161.3 cm with an average land subsidence rate of 23.04 cm/year . Thus, remote sensing technology using the InSAR technique can be used to determine changes that occur in a short time and at low cost.
Perbandingan Laju Penurunan Muka Tanah Menggunakan Metode DInSAR dengan Pengolahan Data Aktual Annisa Amelia; Nia Kurniadin; Romansah Wumu; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.29

Abstract

This research is motivated by how the data generated from the capabilities of the radar technology used in monitoring land subsidence using the DInSAR (Differential Interferometry Synthetic Aperture Radar) method is compared with actual data in the mining sector. The purpose of this study was to determine the suitability of the land subsidence rate using the DInSAR method against the actual data. DInSAR processing is carried out using a pair of Sentinel-1 Terrain Observation by Progressive Scans (TOPS) images with acquisition times before and after changes in conditions due to mining activities. Actual data processing in the form of topographical data at the End of the Month (EOM) by carrying out the drape elements process by 30 sample points to provide information on the value of changes in elevation that occur within a period of three months. The results of the research show that there is a discrepancy between the data generated using the DInSAR method and the actual data. This can be due to the limitations of radar sensors in detecting soil dredging activities in mining areas. So that further processing is needed so that the results of Sentinel-1 Image processing with the DInSAR method can represent the value of land subsidence in the field.
Analisis Spasial Sawah Kabupaten Sidenreng Rappang Menggunakan Data Landsat-8 Dengan Metode Random Forest Romansah Wumu; Ryo Anugrah; Nia Kurniadin; Andi Baso Sofyan A. P.
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.31

Abstract

Rice fields play a crucial role in ensuring food security in a region. However, a major challenge is preventing the conversion of rice fields, which can jeopardize food availability. Therefore, it is essential to rapidly and accurately map rice field areas to precisely detect changes. An effective approach involves remote sensing technology and cloud computing. This research aims to map rice fields in Sidenreng Rappang Regency using Landsat-8 data with the random forest method on the Google Earth Engine platform. This method has proven efficient in image classification and yields accurate land mapping. In this study, Landsat-8 data serves as the primary source, with random forest classifying areas as rice fields. The main finding indicates that the total area of rice fields in Sidenreng Rappang Regency reaches 51,480.43 hectares. Validation using data from the Central Statistics Agency (BPS) reveals a difference in area of 0.67%, while regression analysis demonstrates a strong correlation between mapping data and BPS data, with an R-squared value of 0.9455.
Pemetaan Muka Air Tanah dengan Menggunakan Metode IDW dan Kriging di PT Bukit Baiduri Energi (Blok Utara) Kabupaten Kutai Kartanegara Ayub Artha Christ Tiyawarman; Nia Kurniadin; Romansah Wumu; A. Arifin Itsnani SM
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.39

Abstract

This research was motivated by the need for information regarding the direction of water level distribution in the research area. By collecting mining concession boundary data, topographic data, and drilling data, it is necessary to present information that is easy for the company to understand. The aim of this research is to determine the accuracy of the IDW and Kriging methods in mapping groundwater levels. Primary groundwater level data collected using the systematic random sampling method was used to create an interpolation model. The accuracy of the interpolation model produced by the IDW and Kriging methods is known by observing the root mean square error (RMSE) parameters and validation tests. The best RMSE of the IDW method with five modeling experiments using 5 varying power (p) values. Meanwhile, the Kriging method uses Simple Kriging and Ordinary Kriging. The interpolation model for each method is then compared to find out which method has the best accuracy. Based on the results achieved, the best interpolation model using the IDW method was obtained using power (p) with a value of 5. The RMSE produced in this model was 10.14 with a validity of 49.01%. The best interpolation model using the Kriging method is obtained through the Ordinary Kriging variant. The RMSE produced by Ordinary Kriging is 8.61 with a validity of 38.21%. The research results show that the Kriging method is more accurate than the IDW method. The RMSE produced by the Kriging method has a lower value and higher validity.
Pemetaan Kerusakan Jaringan Jalan Poros Samarinda - Melak Kabupaten Kutai Barat Ferry Nicky Adrian Sardan; Dawamul Arifin; Shabri Indra Suryalfihra; Romansah Wumu; Andi Baso Sofyan A. P.
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.40

Abstract

The background of this research is due to the efforts to repair roads in Kutai Barat Regency, which are unevenly distributed. As a result, there are still many damaged road sections, including the Samarinda - Melak main road, thus necessitating a road condition assessment. The purpose of this research is to map the damage level of the Samarinda - Melak axis road. This research requires understanding in the field of geomatics to carry out measurement and mapping activities. The method used in the measurement activities is the tachimetry method which is then processed using Autocad Civil 3D, while checking road conditions is carried out directly at the measurement location. The results obtained in this study are a map of road damage, cross-sectional maps, and the level of road damage. The results show that the classification of damage on the Samarinda - Melak main road includes potholes, stripping, and distortion. Along the Samarinda - Melak main road, it can be observed that 57% of road damage is classified as potholes, 23% as distortion, and 20% as stripping.
Pemetaan Perubahan Tutupan Lahan Dengan Metode Supervised Classification Menggunakan Citra Landsat 8-9 di Kecamatan Sepaku Tahun 2014 dan 2024 Musdalifah Musdalifah; Andi Baso Sofyan A. P.; Dyah Widyasasi; Romansah Wumu; Siti Hutami Adianengsih Gaffar
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.46

Abstract

This research is motivated by the relocation of the capital city from DKI Jakarta Province to East Kalimantan Province, specifically in the Sepaku Sub-district, Penajam Paser Utara Regency. The relocation of the capital city may lead to changes in land cover due to land conversion and development activities. The purpose of this study is to analyze changes in land cover in the Sepaku Sub-district, Penajam Paser Utara Regency, based on mapping using the supervised classification method with Landsat 8-9 imagery from 2014 and 2024. The results of land cover identification in the Sepaku Sub-district classify the area into vegetated areas (agriculture), vegetated areas (non-agriculture), open land, settlement and related land, and water bodies. In 2014, land cover in Sepaku Sub-district was dominated by non-agricultural vegetated areas, accounting for 60.04% of the total area, which slightly increased to 60.21% in 2024. Furthermore, the results show a slight increase in non-agricultural vegetated areas, from 75,804.1 hectares in 2014 to 76,013 hectares in 2024. Conversely, a decrease was observed in agricultural vegetated areas and open land types. The area of agricultural vegetated land decreased from 39,663 hectares in 2014 to 38,271 hectares in 2024, while open land decreased from 7,111 hectares in 2014 to 6,141.2 hectares in 2024. Meanwhile, settlement and related land cover experienced a significant increase, growing from 2,454 hectares in 2014 to 4,520.2 hectares in 2024.
Monitoring Perubahan Garis Pantai Menggunakan Citra Satelit Sentinel-2 di Kelurahan Manggar Kota Balikpapan Tahun 2016 – Tahun 2024 Muhammad Adry Yansi; Nia Kurniadin; Shabri Indra Suryalfihra; Romansah Wumu
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 1 (2025): September 2025
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i1.61

Abstract

The coastal area has dynamic characteristics that continuously change due to the influence of complex interactions between natural factors and human activities. These changes are triggered by pressures from natural phenomena (such as erosion and flooding) as well as human activities on land and at sea, such as the development of settlements and the conversion of forests into agricultural land or aquaculture. The impacts of these activities can disrupt the stability of coastal ecosystems. In the coastal area of Manggar Village, which is home to several tourist destinations, the presence of tourist attractions and the development of supporting tourism infrastructure have the potential to alter the structure of the coastline. This activity necessitates research to conduct periodic monitoring in the form of determining the coastline affected by the extent of erosion and accretion from 2016 to 2024 every two years. The objective of this research is to present biannual data related to the dynamics of coastline changes and to measure the area affected by erosion (degradation) and accretion (sedimentation addition) in the coastal area of Manggar Village during the period of 2016-2024. The method used leverages remote sensing technology through Sentinel-2 image analysis with the NDWI (Normalized Difference Water Index) algorithm and land-sea segmentation techniques to accurately separate water and land areas. The results of this research are expected to serve as a scientific reference for sustainable coastal area management. This study shows results indicating that the coastline length in 2016 was 6,222 m or 6.2 km, and in 2024 it was 6,130 m or 6.1 km. The erosion from 2016 to 2024 covered an area of 115,770 m², while the accretion covered an area of 14,600 m². The findings of this research provide a clear picture
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM Andi Baso Sofyan A. P. Andi Baso Sofyan A. P. Andi Baso Sofyan A.P Andi Nur Rahman Andi Nur Rahman Annafiyah Annisa Amelia Ayub Artha Christ Tiyawarman Ayub Artha Christ Tiyawarman Burhan Liputo Dawamul Arifin Dawamul Arifin Dawamul Arifin Dyah Widyasasi Dyah Widyasasi Erina Hertianti Evi Sunarti Antu F. V. Astrolabe Sian Prasetya F. V. Astrolabe Sian Prasetya Fadlin, Feri Farid Darise Ferry Nicky Adrian Sardan Ferry Nicky Adrian Sardan Iqrima Staddal Karno Karno Muhammad Adry Yansi Muhammad Yani Muhammad Yani, Muhammad Musdalifah Musdalifah Nia Kurniadin Nurgiantoro, Nurgiantoro Radik Khairil Insanu Ryo Anugrah Salsabila, Unik Hanifah Shabri Indra Suryalfihra Shabri Indra Suryalfihra Shabri Indra Suryalfihra Siti Hutami Adianengsih Gaffar Suparjo Taufan Yanuar Muslim Zulfha Diya Nur Ardzilla