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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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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 : 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 : 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 : 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 : 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 : 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.
Pelatihan Pelacakan Dan Pemasangan Tanda Batas Persil Tanah Masyarakat Desa Tanjung Batu, Kecamatan Tenggarong Seberang, Kabupaten Kutai Kartanegara Arifin, Dawamul; Kurniadin, Nia; Suryalfihra, Shabri Indra; Wumu, Romansah; Insanu, Radik Khairil; Fadlin, Feri; Prasetya, F. V. Astrolabe Sian
Sewagati Vol 9 No 2 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i2.2486

Abstract

Pelatihan Pelacakan dan Pemasangan Tanda Batas Persil Tanah di Desa Tanjung Batu, Kecamatan Tenggarong Seberang, Kabupaten Kutai Kartanegara, bertujuan untuk meningkatkan pemahaman masyarakat mengenai pentingnya tanda batas tanah dan cara pelacakannya. Kegiatan ini melibatkan metode sosialisasi, pelatihan, dan praktik langsung menggunakan alat GNSS Geodetik serta aplikasi berbasis Android. Hasilnya menunjukkan peningkatan pengetahuan peserta dalam pelacakan, pengukuran, dan pemasangan tanda batas. Diskusi dua arah mengidentifikasi kebutuhan mendesak akan informasi legalitas tanah. Post-test mengindikasikan kepuasan peserta terhadap pelatihan, yang berdampak pada persiapan masyarakat menyambut program PTSL (Pendaftaran Tanah Sistematis Lengkap). Pelatihan ini juga menjadi media aplikatif bagi mahasiswa dalam implementasi Merdeka Belajar Kampus Merdeka (MBKM).
Analisis Hubungan Kemunculan Hiu Paus (Rhincodon typus) dengan Suhu Permukaan Laut dan Klorofil-a Pada Perairan Botubarani Provinsi Gorontalo Wumu, Romansah; Suryalfihra, Shabri Indra
GEOID Vol. 19 No. 2 (2024)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v19i2.1202

Abstract

Hiu Paus merupakan salah satu hewan yang terancam punah, sehingga masuk dalam hewan yang dilindungi. Salah satu lokasi kemunculan Hiu Paus di Indonesia adalah perairan Botubarani Provinsi Gorontalo. Perairan tersebut dijadikan Kawasan Ekowisata Hiu Paus yang bertujuan meningkatkan ekonomi masyarakat setempat sekaligus menjadi lokasi riset dan konservasi Hiu Paus. Kemunculan Hiu Paus pada perairan Botubarani masih belum banyak diketahui penyebabnya. Secara umum kemunculan Hiu Paus pada suatu lokasi tergantung pada kondisi kimia, fisik, dan biologi perairan. Penelitian bertujuan mencari korelasi antara kemunculan Hiu Paus pada perairan Botubarani menggunakan parameter suhu permukaan laut (SPL) dengan dan Klorofil-a. Kedua data tersebut diperoleh dari data citra Modis dan Landsat-8. Hasil pengujian korelasi antara kemunculan Hiu Paus dengan Klorofil-a dari data harian MODIS Aqua dan Terra masing-masing adalah -0,356 dan -0,077, sedangkan korelasi dengan SPL masing-masing adalah 0,338 dan 0,108. Hasil ini menunjukkan korelasi moderat antara kemunculan Hiu Paus dengan SPL dari data MODIS Aqua, tetapi korelasi yang lemah dengan Klorofil-a. Pengujian korelasi menggunakan data Landsat-8 menunjukkan korelasi moderat positif antara kemunculan Hiu Paus dengan Klorofil-a sebesar 0,499, sementara korelasi dengan SPL menunjukkan nilai yang sangat lemah sebesar -0,183. Selain itu, terdapat korelasi negatif kuat antara Klorofil-a dan SPL dengan nilai -0,782 pada data Landsat-8, mengindikasikan fenomena upwelling. Disparitas dalam hasil ini disebabkan perbedaan resolusi spasial antara data MODIS dan Landsat-8 serta kompleksitas dinamika perairan pesisir yang mempengaruhi kualitas data satelit.
Deteksi Perubahan Suhu Permukaan Tanah dan Hubungannya dengan Pengaruh Albedo dan NDVI Menggunakan Data Satelit Landsat-8 Multitemporal di Kota Palu Tahun 2013 - 2020 Kurniadin, Nia; Yani, Muhammad; Nurgiantoro, Nurgiantoro; Annafiyah, Annafiyah; Prasetya, F. V. Astrolabe Sian; Insanu, Radik Khairil; Wumu, Romansah; Suryalfihra, Shabri Indra
GEOID Vol. 18 No. 1 (2022)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v18i1.1758

Abstract

Gempa yang diikuti tsunami dan likuifaksi melanda Kota Palu pada 28 September 2018. Sejak saat itu, Kota Palu yang merupakan ibu kota Provinsi Sulawesi Tengah, Indonesia, menjadi pusat perhatian dunia. Berbagai kajian dilakukan untuk memperoleh informasi dari berbagai aspek, antara lain aspek terestrial, perubahan tutupan lahan, batuan, dan perubahan iklim. Teknologi penginderaan jauh memberikan kontribusi yang baik bagi proses penelitian, terutama untuk penelitian yang mencakup wilayah yang luas dan dalam jangka waktu yang lama. Salah satu kajian yang dapat dilakukan dengan menggunakan teknologi penginderaan jauh adalah kajian Suhu Permukaan Tanah (SPT) dengan menggunakan data satelit Landsat-8 multitemporal di Kota Palu. Tujuan dari penelitian ini adalah untuk mendeteksi SPT Kota Palu dari data satelit Landsat-8 multitemporal (2013-2020) dan hubungan antara LST dengan Albedo dan NDVI. Kanal Merah, Biru, NIR, SWIR1 dan SWIR2 digunakan untuk mendapatkan nilai albedo dan NDVI. Nilai emisivitas tanah dan vegetasi serta kanal termal digunakan untuk menentukan nilai LST. Selanjutnya koefisien determinasi (R2) digunakan untuk mengetahui korelasi antara LST dengan Albedo dan NDVI. Hasil dari penelitian ini adalah rata-rata peta sebaran LST dari tahun 2013 hingga 2020. Dari 30 titik sampel penelitian nilai LST antara 17,00 oC sampai 43,27 oC, rata-rata R2 antara LST dan NDVI adalah 0,657 (korelasi kuat), dan R2 antara LST dan Albedo 0,069 (korelasi sangat lemah).
PELATIHAN GEOTAGING PERTANAMAN KELAPA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DESA HUIDU UTARA Wumu, Romansah
Madani: Jurnal Pengabdian Ilmiah Vol. 1 No. 1 (2018): MADANI Jurnal Pengabdian Ilmiah
Publisher : LP2M IAIN Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.436 KB) | DOI: 10.30603/md.v1i1.723

Abstract

Kelapa merupakan tree of life karena banyak manfaat yang diperoleh dari tanaman kelapa. Potensi kelapa yang cukup besar di Indonesia mendorong terbentuknya Koalisi Nasional Kabupaten Penghasil Kelapa (KNPK). KNPK bertujuan mengembalikan kejayaan kelapa di Indonesia. Kementerian Pertanian melalui Direktorat Jenderal Perkebunan terus berupaya mendata potensi kelapa Indonesia. Indikator potensi perkebunan kelapa di suatu wilayah dapat terlihat melalui luas perkebunan dan jumlah kelapa. Sistem Informasi Geografi (SIG) mampu menghitung luas perkebunan dan jumlah pohon kelapa dengan baik dan mudah. Pengabdian masyarakat ini dilakukan kepada masyarakat Desa Huidu Utara dalam pemanfaatan SIG untuk geotaging kelapa serta untuk mengetahui potensi kelapa pada Desa Huidu Utara.
Analisis Urban Heat Island Kota Samarinda Menggunakan Citra Landsat 9 Pada Musim Kemarau Tahun 2025 Romansah Wumu; Nia Kurniadin; F. V. Astrolabe Sian Prasetya; Shabri Indra Suryalfihra; Dawamul Arifin
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 2 (2026): March 2026
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i2.68

Abstract

Urban Heat Island (UHI) is a phenomenon where urban areas exhibit significantly higher surface temperatures compared to surrounding rural regions, driven by land use transformation and reduced vegetation cover. This study analyzes the UHI phenomenon in Samarinda City, East Kalimantan, using Landsat 9 OLI-2/TIRS-2 imagery (Collection 2, Level 2) processed through Google Earth Engine (GEE). The analysis covers May–October 2025 (dry season) using a median composite of two cloud-free scenes. Land Surface Temperature (LST) was extracted using the Single-Channel Algorithm with NDVI-based emissivity correction. Spectral indices NDVI, NDBI, and MNDWI were computed to examine their relationships with LST. UHI intensity was classified into five categories based on mean ± standard deviation thresholds. Results indicate a mean LST of 36.79°C (range: 12.35–60.69°C). High and Very High UHI classes cover 131.31 km² (21.13%) of the city area, concentrated in Samarinda Kota sub-district (mean LST 45.01°C). Correlation analysis using 90 random sampling points reveals NDBI as the strongest LST predictor (r = +0.72), while NDVI shows a moderate negative correlation (r = −0.35). These findings provide spatial evidence for urban heat mitigation strategies, particularly through green space enhancement and built-up density control in high-intensity UHI zones.
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