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Pemetaan Daerah Rawan Banjir Daerah Aliran Sungai (DAS) Suli Kabupaten Luwu Insanu, Radik Khairil; Fadlin, Feri; Prasetya, F.V. Astrolabe Sian
Poltanesa Vol 23 No 1 (2022): Juni 2022
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v23i1.1001

Bencana banjir merupakan salah satu masalah klasik yang sangat sering melanda Indonesia, khususnya di kawasan Daerah Aliran Sungai (DAS). Salah satu aspek yang menjadi bagian dari kajian kebencanaan banjir adalah unsur kerawanan/ ancaman/ bahaya (hazard). Komponen kerawanan/ bahaya dapat didefinisikan sebagai sebuah ancaman yang memiliki potensi menyebabkan kerugian pada manusia baik kerugian materil maupun jiwa. Penelitian ini mengkaji aspek kerawanan bencana banjir pada DAS Suli Kabupaten Luwu. Ruang lingkup substansial dari penelitian ini mencakup penyusunan dan pembuatan peta topografi, perhitungan debit banjir rencana dan data historis kejadian banjir, serta penyusunan peta daerah rawan banjir pada DAS Suli Kabupaten Luwu. Penelitian ini bertujuan untuk menganalisis hidrologi dan hidrolika serta memetakan daerah rawan banjir DAS Suli Kabupaten Luwu. Metode yang digunakan penelitian ini adalah survei pengumpulan data ketinggian banjir historis dan simulasi numerik 2D Hec-Ras. Hasil analisis debit banjir rencana menunjukkan bahwa, banjir yang terjadi di DAS Suli Kabupaten Luwu termasuk dalam kejadian kala ulang 50 tahun, sedangkan kapasitas tampung maksimum sungai suli adalah pada debit kala ulang 5 tahun. Pemetaan daerah rawan banjir dilakukan dengan mengkombinasikan hasil simulasi numerik 2 dimensi hec ras dengan data primer hasil survei dan pengukuran elevasi banjir historis pada DAS Suli. Hasil analisis menunjukkan korelasi yang kuat antara data kedalaman banjir hasil simulasi dengan kedalaman banjir historis dengan nilai korelasi 96,03%. Hasil pemetaan daerah rawan banjir menunjukkan bahwa kelurahan Suli Kecamatan Suli sebagai daerah dengan luas wilayah terbesar terkena banjir. luas genangan untuk klasifikasi tingkat bahaya banjir rendah (<0.76m) adalah 172,96 Ha, Tingkat bahaya banjir sedang (0.76m – 1.5m) adalah 84,70 Ha, dan Tingkat bahaya banjir tinggi (>1.5m) adalah 87,09 Ha.

Assessment of Local Communities' Climate Vulnerability in Lampung: Case Study on Buffering Villages at Way Kambas National Park Nuzula Elfa Rahma; Erna Rositah; Suparjo; F.V. Astrolabe Sian Prasetya; Feri Fadlin; Yulma; Joko Triyono
AQUACOASTMARINE: Journal of Aquatic and Fisheries Sciences Vol. 5 No. 1 (2026): AQUACOSTMARINE: Journal of Aquatic and Fisheries Sciences
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jafs.v5i1.24963

Communities in Lampung province, Indonesia, are at the forefront of climate change impacts. Hence, this study aims to determine the climatic vulnerability of Lampung local communities. The study encompasses multifaceted aspects of climate exposure and its impact on the local communities of three resorts (Kuala Penet, Susukan Baru, Cabang). The analysis consists of examining historical climate patterns and how they correspond to the community's climate vulnerability. The analysis covers historical climate data from the period of 2004 to 2024, which includes the daily temperature (maximum, minimum, and average value) and daily precipitation. Furthermore, interviews and Focus Group Discsussions are conducted to obtain information from the communities. The data is then interpreted by using the DPSIR framework. It reveals that inland and coastal communities differ regarding these aspects: risk exposure, sensitivity, and adaptive capabilities. When it comes to exposure, inland agricultural communities face risks from drought, soil degradation, and unpredictable rainfall. Meanwhile, coastal communities are affected by rising temperatures, rising sea levels, tidal floods, coastal erosion, and the depletion of fish stocks. Sensitivity is measured by means of livelihood, socioeconomic status, and access to healthcare. Marginalized groups, particularly the poor and elderly, face compounded risks due to limited healthcare access and displacement threats, with the most vulnerable being the coastal communities of Cabang Resort. Furthermore, when it comes to adaptive capabilities, both terrestrial and coastal communities in Lampung have very limited capacities to anticipate most of the climate change impacts. Strengthening climate resilience will require targeted interventions, including improvement of infrastructure, access to healthcare and disaster readiness programs.

Assessment of Local Communities' Climate Vulnerability in Lampung: Case Study on Buffering Villages at Way Kambas National Park Nuzula Elfa Rahma; Erna Rositah; Suparjo; F.V. Astrolabe Sian Prasetya; Feri Fadlin; Yulma; Joko Triyono
AQUACOASTMARINE: Journal of Aquatic and Fisheries Sciences Vol. 5 No. 1 (2026): AQUACOSTMARINE: Journal of Aquatic and Fisheries Sciences
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jafs.v5i1.24963

Communities in Lampung province, Indonesia, are at the forefront of climate change impacts. Hence, this study aims to determine the climatic vulnerability of Lampung local communities. The study encompasses multifaceted aspects of climate exposure and its impact on the local communities of three resorts (Kuala Penet, Susukan Baru, Cabang). The analysis consists of examining historical climate patterns and how they correspond to the community's climate vulnerability. The analysis covers historical climate data from the period of 2004 to 2024, which includes the daily temperature (maximum, minimum, and average value) and daily precipitation. Furthermore, interviews and Focus Group Discsussions are conducted to obtain information from the communities. The data is then interpreted by using the DPSIR framework. It reveals that inland and coastal communities differ regarding these aspects: risk exposure, sensitivity, and adaptive capabilities. When it comes to exposure, inland agricultural communities face risks from drought, soil degradation, and unpredictable rainfall. Meanwhile, coastal communities are affected by rising temperatures, rising sea levels, tidal floods, coastal erosion, and the depletion of fish stocks. Sensitivity is measured by means of livelihood, socioeconomic status, and access to healthcare. Marginalized groups, particularly the poor and elderly, face compounded risks due to limited healthcare access and displacement threats, with the most vulnerable being the coastal communities of Cabang Resort. Furthermore, when it comes to adaptive capabilities, both terrestrial and coastal communities in Lampung have very limited capacities to anticipate most of the climate change impacts. Strengthening climate resilience will require targeted interventions, including improvement of infrastructure, access to healthcare and disaster readiness programs.

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

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.

Geographic Information System of Dengue Hemorrhagic Fever Area Mapping in the City Of Samarinda Tarsius Aloysius Pedor; Syafei Karim; F.V Astrolabe Sian Prasetya
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.v2i4.677

Dengue Hemorrhagic Fever (DHF) is still one of the main public health problems in Indonesia. This disease can threaten public health, efforts to prevent its spread need to be done. As the first step for prevention, it is necessary to do the mapping. Environmental factors have a major influence on the increase and transmission of mosquito-borne diseases such as DHF. The most influential factors include the physical environment consisting of rainfall, air humidity, and population density. The city of Samarinda itself has not maximized the DHF control program, because the government is less effective in mapping the DHF-vulnerable areas based on indicators of increasing cases over the last few years using spatial maps. Mapping the DHF area with the spatial method can maximize the implementation of the DHF control program, the implementation of the fogging program, and other DHF control programs. So to get this information, a geographical information system (GIS) is needed or commonly known as a geographic information system (GIS). This web-based geographic information system application for mapping dengue areas can display detailed information such as the address of the Public Health Center that provides information on the number of cases that occur in each sub-district and a polygon map showing which sub-district has the most cases.

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

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.

Geographic Information System Fire Disaster Mapping in Samarinda City Web-Based Muh. Ibnu Fajar; Ida Maratul Khamidah; F. V. Astrolabe Sian Prasetya
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.v1i1.8

One of the problems that are often faced by the fire department at the time of a fire is the obstruction of the main post in determining the PMK assistance post which is deployed in the closest radius to the location of the incident. The purpose of this research is to build a web-based geographic information system that can determine and provide information about the location of fires in Samarinda City. The benefits of this geographic information system for mapping fire disasters can determine and become a source of information for the community and also the Fire Department regarding the location of the fire.

Android-Based Geographic Information System Tourism of Samarinda City Aca Al Ahwa; Suswanto Suswanto; F. V. Astrolabe Sian Prasetya
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.v1i1.11

This research is motivated by the tourism potential of Samarinda which is actually very good, but this potential has not been fully utilized by the city government and the private sector. So that people are less interested in traveling in Samarinda. Therefore, the purpose of this research is to build an android-based regional tourism information system for Samarinda City as a source of information to find out what tourist objects are owned by Samarinda City. This study uses spatial data in the form of location coordinates, addresses and non-spatial data as well as supporting information in the form of tourist names, categories, types of tours, addresses. Making this Android-Based Samarinda City Tourism Geographic Information System using Google Maps as a base map. The results of this study are to simplify data management for the general public, the test results of 60% of respondents answered agree, 34% of people answered strongly agree, 4% of people answered less agree, 2% of people answered disagree, 0% of people answered strongly disagree, and the results of the validation test using Pearson's product moment correlation model using SPSS with the number of rcount>rtable all valid data.

Perbandingan Pengolahan Data Foto Udara Menggunakan Perangkat Lunak Agisoft Metashape Professional dan APS Menci Ardiansyah Ardiansyah; Shabri Indra Suryalfihra; Dawamul Arifin; F. V. Astrolabe Sian Prasetya
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.v1i2.20

Photogrammetry is a method of mapping objects on the earth's surface using aerial photographs as a medium. Orthophoto is a product of photogrammetry. Utilization and processing of aerial photo data are increasingly widespread with the support of various adequate software. This study aims to process aerial photo data and determine differences in the quality of orthophotos produced from Agisoft Metashape and APS Menci software. In this study, 714 aerial photo data were taken using the DJI Phantom 3 pro drone, and 9 Ground Control Points were obtained from static measurements using the Comnav T300 Geodetic GPS, processed using the Agisoft Metashape and APS Menci software, starting from Georeferencing, DEM Making, DTM, Editing Semalines, and Orthophoto. The results obtained from this study visually produce orthophotos that have different lighting. APS Menci is brighter than Agisoft Metashape. In addition, there is also a difference in the area of 9.1 Ha from orthophoto where Agisoft Metashape produced 64.61 Ha while APS Menci was 55.51 Ha. The GSD (Ground Sampling Distance) value of Agisoft Metashape is 4.12 cm and APS Menci is 4.2 cm. From the results of the orthophoto semantic quality test obtained from the interpreter it gives a Level 7 score on the NIIRS (National Imagery Interpretability Rating Scale) based on the IRARS (Imagery Resolution Assessment and Reporting Standards) table, where the resulting orthophoto can detect steps on stairs. It is recommended to use the Agisoft Metashape software for better results and speed of use.

Geographic Information System of Farmer Group and Area in Samarinda City Web-Based Pratirta Pratirta; Eko Junirianto; F. V. Astrolabe Sian Prasetya
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.v1i2.21

Presenting geographic data information by using a GIS (Geographical Information System), GIS is an organized series of hardware, software, geographic data, and personnel designed to efficiently obtain, store, update, manipulate, analyze, and display all forms of geographically referenced information. The difficulty of finding the location of the Farmers Group the Department of Agriculture of the City of Samarinda, it is very important to know the location, especially when the service will hold agricultural counseling for faster delivery of information, therefore an appropriate use of technology is needed to provide accurate information. The purpose of this study is to provide convenience to users in finding locations, finding routes to locations, and other information about farmer groups and their lands in the city of Samarinda. Based on the case studies in this study, it can be concluded that the author will build a web-based geographic information system for mapping farmer groups and their lands in the city of Samarinda.

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