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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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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 Citra Sentinel-2 untuk Analisis Perubahan Kerapatan Vegetasi di Kecamatan Palaran Tahun 2019-2021 M. Kurniawan; Nia Kurniadin; Hasanudin Hasanudin; Shabri Indra Suryalfihra
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.v2i2.38

Abstract

Palaran is a sub-district in Samarinda City, East Kalimantan Province, with an area of approximately 221.29 km2. Palaran Sub-District is a place for various activities of residents and other areas around Samarinda City. These activities caused Palaran Sub-District to develop rapidly. The increasing need for housing is the cause of the conversion of green land as a vegetation area to other functions. Land conversion will increase along with population growth. The existence of vegetation in urban areas as green open space has many benefits, one of which is producing clean air. Apart from being an important element, vegetation also ensures that the ecosystem is not disturbed. The aim of this research is to determine changes in Vegetation Density in Palaran Sub-District and to determine the extent of changes in Vegetation Density in Palaran Sub-District. The Normalized Difference Vegetation Index (NDVI) method is used to analyze changes in vegetation density by utilizing Sentinel-2 imagery data recorded in 2019, 2020 and 2021. The results of the research are maps of changes in vegetation density and the magnitude of changes that occurred in Palaran Sub-District in 2019, 2020, 2021. Changes in density of high, medium, low, very low and non-vegetated vegetation from 2019 to 2021 respectively covering an area of 925.76 Ha, -160.52 Ha, -270.24 Ha, -654. 20 Ha, and 159.20 Ha. There was an increase in the density of high and unvegetated vegetation, as well as a decrease in the density of medium, low and very low vegetation. It is hoped that this information can be used as supporting data in efforts to control land conversion to maintain spatial planning and carrying capacity that is beneficial to the community
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
Pemanfaatan Google Earth Engine dan Citra Satelit Aqua/Terra Modis untuk Pemetaan Suhu Permukaan Tanah Rata-Rata di Provinsi Kalimantan Timur Tahun 2015-2020 Rizki, Muhammad; Kurniadin, Nia
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 1 (2022): September 2022
Publisher : P3KM Politani 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 Rahman, Andi Nur; Kurniadin, Nia; Wumu, Romansah; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani 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 Wumu, Romansah; Kurniadin, Nia; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani 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 Tustika, Artanti; Arifin, Dawamul; Insanu, Radik Khairil; Kurniadin, Nia
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani 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 Azzahro, Namira Nur; Prasetya, F. V. Astrolabe Sian; Kurniadin, Nia; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani 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 Muslim, Taufan Yanuar; Kurniadin, Nia; Widyasasi, Dyah; Wumu, Romansah
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani 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 Amelia, Annisa; Kurniadin, Nia; Wumu, Romansah; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani 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.
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM Adiputra, Rio Agum Gumelar Ahmad Aris Mundir Sutaji Akhmad Maulidi Amelia, Annisa Andi Baso Sofyan A.P Andi Nur Rahman Anggraini Anggraini Annafiyah Annisa Amelia Anugrah, Ryo Arida Vania Firdaus Aries Sulisetyono Arsya Farky Fadjuani Artanti Tustika Auliana Diah Wilujeng Ayub Artha Christ Tiyawarman Azzahro, Namira Nur Dawamul Arifin Dian Pratiwi Nurdin Dio Caisar Darma Dwi Agung Pramono Dwi Agung Pramono Dyah Widyasasi Eddy Setyo Koenhardono, Eddy Setyo Eko Junirianto Eny Maria F. V. Astrolabe Sian Prasetya Fadlin , Feri Fadlin, Feri Firdaus, Arida Vania Fitriansyah, Fitriansyah Gandung Sugita Gusti Noorlitaria Achmad Hasanudin Hasanudin Hasanudin Hasanudin Hasanudin Hasanudin Herlan Herlan Herlan, Herlan Ida Maratul Khamidah Itsnani SM, A. Arifin Jaelani, Lalu Muhamad Karim, Syafei M. Faisal Abimanyu M. Kurniawan M. Kurniawan, M. Milatus Sholihah Mukarromah Muhammad Faisal Bashiir Muhammad Havit Pratama Muhammad Renaldi Arianda Muhammad Rizki Muhammad Rizki Muhammad Yani Muhammad Yani, Muhammad Muslim, Taufan Yanuar Namira Nur Azzahro Nurgiantoro, Nurgiantoro Padatuan, Austro Yoris Pamungkas, Adjie Pramono, Dwi Agung Pratama, Muhammad Havit Pratiwi Wijayanti Pravasta Kiko Setiawan Hadi Radik Khairil Insanu Rahman, Andi Nur Rahmawati, Andriani Nadia Resti Limehuwey Rofikhotul Khoeriyah Romansah Wumu Romansah Wumu Rudi Djatmiko Ryo Anugrah Sandi Pranata Shabri Indra Suryalfihra Sofyan A. P., Andi Baso Suparjo Sutaji, Ahmad Aris Mundir Syachrani, Syaparliddin Taufan Yanuar Muslim Tiyawarman, Ayub Artha Christ Tustika, Artanti Wawan Feri Widyasasi, Dyah Wiwik Handayani Yoga Pratama Zulfha Diya Nur Ardzilla