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All Journal Jurnal Harpodon Borneo JOURNAL OF APPLIED INFORMATICS AND COMPUTING Elipsoida : Jurnal Geodesi dan Geomatika J SIG (Jurnal Sains Informasi Geografi) TEPIAN Buletin Poltanesa Jurnal Agriment Sewagati Journal of Geomatics Engineering, Technology, and Science Geoid - Journal of Geodesy and Geomatics
F. V. Astrolabe Sian Prasetya
Politeknik Pertanian Negeri Samarinda
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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

Abstract

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.
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

Abstract

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

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.
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Geographic Information System for Fishermen's Market Kutai Kartanegara Marine and Fishery Service Erwin Samuel Situmorang; F. V. Astrolabe Sian Prasetya; Annafi Franz
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.v1i2.22

Abstract

Activities to process various kinds of data regarding data management are always endeavored to be ready to be presented to anyone who needs it. Geographic Information System (GIS) is an information system designed to work with spatially referenced data or geographic coordinates in other words GIS is a database system with special capabilities to handle spatially referenced data, together with a set of work operations. This study uses two methods of data collection, namely: The interview method (interview) and Document Study. The interview is a data collection method that is carried out by seeking information or data directly through sources so that the data obtained can be more accurate while conducting document studies, in document studies researchers rely on documents as one source of data to support research. The Geographic Information System of the Fishermen Market of the Kutai Kartanegara Marine and Fisheries Service was created with several programming languages Hypert Text Markup Language (HTML). The development of the system used in this study is the Waterfall model, which starts with the stages of analysis, design, coding, testing, and maintenance. The Geographic Information System of the Fisherman Market of the Kutai Kartanegara Marine and Fisheries Service aims to make it easier for service members to input fish prices and make it easier for the public to see fish prices and locations from the market.
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.
Co-Authors Aca Al Ahwa Agung Wiyanda Almy Faturahim Nur Insan Alvina Resha Octaferina Annafi Franz Annafi Franz Annafiyah Ardiansyah Ardiansyah Ardiansyah Ardiansyah Arini Rajab Arsya Farky Fadjuani Dana Rahmadi Dawamul Arifin Eko Junirianto Erwin Samuel Situmorang Erwin Samuel Situmorang Fadlin, Feri Feri, Wawan Hadi, Pravasta Kiko Setiawan Herijanto Thamrin Ida Maratul Khamidah Iswinanto Denis Karim, Syafei Kevin Rivaldi Sosang M. Faisal Abimanyu Muh. Ibnu Fajar Muhammad Yani Muhammad Yani, Muhammad Namira Nur Azzahro Namira Nur Azzahro Nia Kurniadin Nurgiantoro, Nurgiantoro Pratirta Pratirta Pratirta Pratirta Radik Khairil Insanu Rahma, Nuzula Elfa Romansah Wumu Rukmi Salsabila, Unik Hanifah Shabri Indra Suryalfihra Sri Jimy Kustini Sundarti, Anisa Suparjo Suswanto Suswanto Suswanto Tarsius Aloysius Pedor Widyasasi, Dyah Yulma, Yulma Zulfha Diya Nur Ardzilla