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All Journal JURNAL ECONOMIA IPTEK The Journal for Technology and Science AKSIOMA Jurnal Pendidikan Matematika Journal of Information Technology and Computer Science (JOINTECS) Sebatik Elipsoida : Jurnal Geodesi dan Geomatika J SIG (Jurnal Sains Informasi Geografi) ILKOMNIKA: Journal of Computer Science and Applied Informatics Buletin LOUPE (Laporan Umum Penelitian) TEPIAN Buletin Poltanesa Sewagati Journal of Geomatics Engineering, Technology, and Science Geoid - Journal of Geodesy and Geomatics
Nia Kurniadin
Politeknik Pertanian Negeri Samarinda
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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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.
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.
Geographic Information System of Contraceptives Users in Samarinda Seberang Sub-District Muhammad Renaldi Arianda; Ida Maratul Khamidah; Nia Kurniadin
TEPIAN Vol. 2 No. 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i4.675

Abstract

Birth Control “Keluarga Berencana” (KB) is a government program designed to balance the needs and population. Birth Control is an attempt to measure the number of children and the desired birth spacing of children. Therefore, the Government launched a program or method to prevent and delay pregnancy. Therefore, the purpose of this study is to create a geographic information system for data collection of contraceptive users based on a website that is useful as a place to store data on contraceptive users and information maps as a benchmark for the achievement of Birth Control instructors in the area of ​​Samarinda opposite. The results of this study that the existence of this geographic information system website, besides being able to assist the public in obtaining information about contraceptives, can also assist the work of Birth Control instructors in the regions, especially in the Samarinda Seberang area in recording Birth Control users in their working areas and as a step to help reduce paper use and modernization from the old system.
Development of Spatial Models in Making Decisions on Suitable Area for Smart Farming at Agriculture Polytechnic of Samarinda F. V. Astrolabe Sian Prasetya; Nia Kurniadin; M. Faisal Abimanyu
TEPIAN Vol. 4 No. 3 (2023): September 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i3.2623

Abstract

In the context of fulfilling food, especially for agricultural and plantation commodities in East Kalimantan and fulfilling the Agriculture Polytechnic of Samarinda research strategic plan on Strengthening the Application of GIS and Remote Sensing for Land Management in the Agro-Ecosystem Zone, it is necessary to conduct studies related to determining suitable locations for smart farming in the location of the Agriculture Polytechnic of Samarinda. The closest technique in this study is to make a land model that is suitable for smart farming. The model was created by utilizing spatial data derived from remote sensing data, and also analyzed using GIS techniques. Several agricultural and plantation commodities have criteria as conditions for growth that must be met for each commodity. These parameters are conditions of humidity, temperature, and intensity of sunlight, where these data can be extracted from remote sensing data. By utilizing the NDVI, NDMI, and LST algorithms, as well as shadow analysis at the time of irradiation, it will be possible to model an area suitable for smart farming. By using spatial data from sentinel 2 and applying the NDMI, NDVI, and LST algorithms, it can be determined specifically which areas are suitable for several agricultural and plantation commodities. From the results of this study, it was found that several commodities could grow optimally in almost every location at the Agriculture Polytechnic of Samarinda, such as for the commodities of strawberry, rubber crop and robusta coffee. As for the commodities of Mustard Greens, Pepper, Cocoa, and Arabica Coffee, they are not suitable for planting in the Agriculture Polytechnic of Samarinda.
Pemanfaatan Google Earth Engine dan Citra Satelit Aqua/Terra Modis untuk Pemetaan Suhu Permukaan Tanah Rata-Rata di Provinsi Kalimantan Timur Tahun 2015-2020 Muhammad Rizki; Nia Kurniadin
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 1 (2022): September 2022
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i1.3

Abstract

Provinsi Kalimantan Timur, secara geostrategis memiliki potensi perdagangan internasional, karena terletak di tengah wilayah Indonesia. Selain itu, penetapan Ibukota Negara dalam wilayah administrasi Provinsi Kalimantan Timur menjadikan provinsi ini sebagai wilayah yang memerlukan perhatian khusus. Pemanasan Global merupakan salah satu isu yang berdampak besar bagi dunia. Peningkatan Suhu Permukaan Tanah (SPT) memberikan kontribusi yang signifikan terhadap faktor tingkat kekeringan yang merupakan dampak dari pemanasan global. Pentingnya informasi SPT sebagai basis data spasial bagi pengelolaan Provinsi Kalimantan Timur. Tujuan dari penelitian ini adalah untuk mengetahui perubahan SPT di Provinsi Kalimantan Timur dari tahun 2015 sampai dengan tahun 2020 menggunakan Citra MODIS. Pengolahan data dilakukan dengan menggunakan Google Earth Engine, dimulai dari pemilihan citra, penentuan waktu dan lokasi, kemudian dilanjutkan dengan pengolahan data. Hasil yang diperoleh kemudian diekspor ke Google Drive untuk diproses lebih lanjut menggunakan ArcGIS untuk proses analisis dan layout peta. Dari pengolahan data citra MODIS menjadi nilai SPT di Provinsi Kalimantan Timur dari tahun 2015 sampai dengan tahun 2020 diperoleh informasi bahwa nilai SPT tertinggi sebesar 30,9oC terjadi pada tanggal 22 September 2015 dan nilai SPT terendah sebesar 23,1oC pada tanggal 24 November 2020.
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.
Identifikasi Penggunaan Lahan Perumahan Bukit Indah Permai Kota Samarinda dengan Menggunakan Orthophoto Artanti Tustika; Dawamul Arifin; Radik Khairil Insanu; Nia Kurniadin
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.v1i2.25

Abstract

Land use according to the Basic Agrarian Law is the structure and pattern of land use, whether planned or not, which includes land supply, land allotment, land use, and maintenance. Land use is regulated to meet activities. Sustainable social and livelihood activities result in the amount of land needed, type, and location. Land use arrangements determine social accessibility, economic opportunity, movement patterns, and survival. Bids to change land use patterns should take into account the problems that will arise as a result of land use reforms. Land use information will be able to be used as data/information in making decisions on the development planning of an area. Bukit Indah Permai housing is one of the housing areas in the Samarinda which offers several types of housing, like types 21, 27, 36, and type 45. Land use information from the Bukit Indah Permai housing area will be able to provide consideration for potential consumers to make Bukit Indah Permai housing the residence of their choice. From the results of ortho data processing, it can be seen that land use in Bukit Indah Indah housing includes housing, green open spaces, public facilities (roads), and social facilities. Each of these land uses has a different area, namely for the area of ​​land use as housing is 50.57%, land use as green open space covers an area of ​​32.3%, land use for social and public facilities (road) respectively - 3.65% and 13.48%.
Pemodelan Kelas Curah Hujan Kota Samarinda Tahun 2010 – 2020 Namira Nur Azzahro; F. V. Astrolabe Sian Prasetya; 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.v1i2.26

Abstract

Penelitian ini dilatarbelakangi curah hujan merupakan salah satu komponen utama dalam penentuan iklim dan cuaca. Iklim Indonesia secara keseluruhan adalah iklim tropis. Curah Hujan menjadi faktor penting dalam memanfaatkan lahan kota Samarinda baik sebagai lahan hunian maupun sebagai lahan perkebunan, hal ini karena curah hujan sangat mempengaruhi tingkat ketersediaan air tanah yang dapat dimanfaatkan sebagai kebutuhan hidup. Terdapat beberapa metode yang dapat digunakan untuk mengetahui tingkat curah hujan yang terjadi dalam luas wilayah tertentu, khususnya wilayah kota Samarinda. Salah satu metode yang dapat digunakan adalah metode ihsoyet. Metode ihsoyet merupakan yang paling teliti untuk menghitung kedalaman hujan rata-rata di suatu wilayah tertentu. Tujuan dari penelitian ini untuk melakukan analisis tabular curah hujan bulanan, tahunan dan rata – rata dan membuat pemodelan kelas curah hujan Kota Samarinda dari tahun 2010 – 2020. Pelaksanaan penelitian ini dilakukan di Kota Samarinda dengan menggunakan data curah hujan yang telah di dapat dari Badan Wilayah Sungai IV Kota Samarinda dengan stasiun curah hujan yang tersebar di 7 lokasi daerah Samarinda. Hasil penelitian ini menunjukkan grafik curah hujan bulanan dan  pemodelan kelas curah hujan yang berubah secara signifikan selama 11 tahun yaitu dari tahun 2010 – 2020. Terdapat anomali data curah hujan pada stasiun curah hujan Karang Paci dan Pamang, dimana curah hujan maksimum terjadi pada bulan Maret dan April.
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.
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM A. Arifin Itsnani SM Agum Gumelar AGUM GUMELAR, AGUM Ahmad Aris Mundir Sutaji Ahmad Aris Mundir Sutaji Akhmad Maulidi Andi Baso Sofyan A. P. Andi Baso Sofyan A.P Andi Nur Rahman Andi Nur Rahman Andriani Nadia Rahmawati Anggraini Anggraini Annafiyah Annisa Amelia Arida Vania Firdaus Aries Sulisetyono Arsya Farky Fadjuani Artanti Tustika Artanti Tustika Audi Qhoryaty Salsabillah Auliana Diah Wilujeng Austro Yoris Padatuan Ayub Artha Christ Tiyawarman Ayub Artha Christ Tiyawarman Dawamul Arifin Dawamul Arifin Dian Pratiwi Nurdin Dio Caisar Darma Dwi Agung Pramono Dwi Agung Pramono Dwi Agung Pramono Dyah Widyasasi Dyah Widyasasi Eddy Setyo Koenhardono, Eddy Setyo Eko Junirianto Eny Maria F. V. Astrolabe Sian Prasetya F. V. Astrolabe Sian Prasetya Fadlin , Feri Fadlin, Feri Feri Fadlin Feri Fadlin Feri, Wawan Fitriansyah, Fitriansyah Gandung Sugita Gusti Noorlitaria Achmad Hadi, Pravasta Kiko Setiawan Hasanudin Hasanudin Hasanudin Herlan Herlan Ida Maratul Khamidah Jaelani, Lalu Muhamad Karim, Syafei Karno Karno M. Faisal Abimanyu M. Kurniawan Milatus Sholihah Mukarromah Muhammad Adry Yansi Muhammad Faisal Bashiir Muhammad Fajar Dharu Kusuma Muhammad Havit Pratama Muhammad Renaldi Arianda Muhammad Rizki Muhammad Rizki Muhammad Yani Muhammad Yani, Muhammad Namira Nur Azzahro Namira Nur Azzahro Nurgiantoro, Nurgiantoro Pamungkas, Adjie Pramono, Dwi Agung Pratiwi Wijayanti Radik Khairil Insanu Radik Khairil Insanu Resti Limehuwey Rio Adiputra Rofikhotul Khoeriyah Romansah Wumu Rudi Djatmiko Ryo Anugrah Sandi Pranata Shabri Indra Suryalfihra Shabri Indra Suryalfihra Shal Sha Nur Sabilla Savitri Sinthia Putri Agustin Suparjo Suparjo Suparjo Sutaji, Ahmad Aris Mundir Syachrani, Syaparliddin Taufan Yanuar Muslim Widyasasi, Dyah Yoga Pratama Yuannita Yuannita Zulfha Diya Nur Ardzilla