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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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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 Sciences 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.
Vegetation Analysis on the Upper Mahakam River Border Suparjo; Herijanto Thamrin; Sri Jimy Kustini; F. V. Astrolabe Sian Prasetya; Rukmi; Iswinanto Denis
Poltanesa Vol 24 No 1 (2023): June 2023
Publisher : P2M Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i1.2264

Abstract

Vegetation analysis on the upper Mahakam river border. The Mahakam River Basin (DAS) is very wide, reaching 7.724.300 Ha. The condition of the vegetation in the Mahakam watershed continues to change due to the development of plantations, mining, and settlements. On the other hand, efforts to maintain biological resources from the diversity of vegetation are needed to protect against extinction. Remote sensing data can be used to differentiate between primary and secondary vegetation economically. However, it has limitations for detecting vegetation composition and the number of individuals per unit area. Therefore, field surveys in the context of conducting vegetation analysis are still needed to complement remote sensing data. This study aims to analyze the vegetation in each growth phase, namely the seedling, sapling, pole, and tree phases on the Mahakam riverbank. The method used is to make observation plots of 13 plots for each growth phase. Plots of 2 x 2 m2 for seedling observation, 5 x 5 m2 for sapling level, 10 x 10 m2 for pole level, and 20 x 20 m2 for tree level observation. Based on data analysis, the seedling stage consisted of 30 species, the average number of stems was 25576.9 per ha, the species diversity index was 1.371, and the highest important value index was 21.8% of Coffea robusta. There were 17 species of saplings, an average number of 4,092.3 stems per hectare, a diversity index of 1,118, and the highest important value index of 39.5% from Theobroma cacao. The pole level contained 16 species, the average number of stems was 1023.1 per hectare, the diversity index was 1.138, and the highest interest index was 23.7% for Paraserianthes falcataria. The tree level consists of 30 species. The average number of stems is 255.8 per hectare, the diversity index is 1.282, and the highest important value index is 54.9% of Durio zibethinus. From the results of the study, it can be concluded that most of the vegetation in the Mahakam riverbank area is former fields or agricultural activities.
Detection of the Post-Earthquake Damage in Mamuju Regency in January 2021 Using Sentinel-1 Satellite Imagery Zulfha Diya Nur Ardzilla; Nia Kurniadin; F. V. Astrolabe Sian Prasetya; Romansah Wumu; Dawamul Arifin; Shabri Indra Suryalfihra
Poltanesa Vol 24 No 1 (2023): June 2023
Publisher : P2M Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i1.2495

Abstract

Friday, January 15 2021 at 02:28:21 Local Time, a tectonic earthquake with a magnitude of 6.2 occurred in Mamuju Regency. The epicenter of the earthquake was on land and at 38 km in depth, 6 km to the northeast of Majene, West Sulawesi Province. This earthquake has damaged buildings such as the West Sulawesi Governor’s Office, the Mitra Manakara Hospital, and landslides at several points on Mamuju – Majene highway. The purpose of this research is to determine the post-earthquake damage that occurred in Mamuju Regency and to find out the area that was detected because of the earthquake. By using Sentinel-1 satellite image data and the change detection method from two Sentinel-1 SAR images, ESA SNAP software is used for data processing by using a threshold classification on the images before and after the earthquake, then converting Raster to Vector, Clip according to the boundaries of Mamuju Regency and Layouts using ArcGIS software. The results of this study are the detection of the post-earthquake damage that occurred in Mamuju Regency of 100.64 km2 (14.78%) total area of damage detected. This research also obtained post-earthquake damage detection maps.
Geographic Information System of Distribution of Poor Households in the Palaran District Kevin Rivaldi Sosang; Syafei Karim; F.V Astrolabe Sian Prasetya
TEPIAN Vol. 3 No. 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i1.679

Abstract

Related to poverty, an important issue that needs attention is the relatively large number of poor people. This relatively large number of poor people is mainly associated with poverty alleviation efforts, both through funding by the central government and local governments. However, such a high-quantity effort has not been able to significantly alleviate poverty. This can be seen from the worsening quality of the poor. So to get these results, a geographical information system (GIS) is needed or commonly known as a geographic information system (GIS) so that data on poor households is right on target. A geographic Information System is a tool that can be used to assist in analyzing the condition of an area in the field of the population to determine the level of welfare of its population. GIS can also convey information in the form of thematic maps so that the condition of an area towards poverty can be presented in the form of visualization of thematic maps and can make it easier for users to understand the information conveyed. The expected result is that this GIS application can make it easier to provide information to the public about the existence of poor households in the Palaran District.
Development Tourism Geographic Information System of Samarinda Agung Wiyanda; Suswanto; F. V. Astrolabe Sian Prasetya
TEPIAN Vol. 3 No. 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i1.689

Abstract

This research is motivated by the low level of dissemination of tourism information in the city of Samarinda. Samarinda is one of the cities with very diverse and interesting tourism potentials to explore. The beauty of the urban area and being one of the cities that is crossed by the largest river in the province of East Kalimantan, namely the Mahakam river, makes it one of the tourist destinations that has its own charm, but unfortunately at this time the tourism places in the city of Samarinda have not been widely publicized due to lack of information. About tourism that is given to the public and there are also some places that have not been or have just been opened to become tourist sites. This study uses spatial data in the form of location coordinates and non-spatial data in the form of attribute data including tourist names, addresses, and types of tours, descriptions and pictures. Making the Samarinda City Tourism Geographic Information System website using the Leaflet API as a base map. The database created using PHPMyAdmin on the Samarinda City Tourism Geographic Information System is based on collecting secondary data on tourism information at the Samarinda City Tourism Office and also collecting primary data by interviewing tourist objects that have not been recorded at the Samarinda City Tourism Office. The system and appearance of the Samarinda City Tourism Geographic Information System website was built with the CodeIgniter 3 framework using Visual Studio Code as a text editor. The results of this study are the Samarinda City Tourism Geographic Information System which provides information on tourist names, addresses, types of tours, location coordinates, descriptions, images and is equipped with search features and also road routes to tourist sites. It is hoped that the Samarinda City Tourism Geographic Information System can provide adequate information about tourism information in the city of Samarinda so as to facilitate the delivery and acceptance to the public, especially prospective tourists.
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.
Web-Based Mapping of Crime-Prone Areas in Samarinda Seberang and Loa Janan Ilir Districts, Samarinda Citys Karim, Syafei; Prasetya, F.V. Astrolabe Sian; Sundarti, Anisa
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.5151

Abstract

The development of Geographic Information System (GIS) technology has provided significant benefits in various fields, including the monitoring of crime-prone areas. GIS is used to minimize the traces of these crimes. This study aims to map crime-prone areas in the Samarinda Seberang and Loa Janan Ilir Districts to identify which areas are potentially vulnerable, allowing for analysis for prevention and handling. The data used were collected from theft cases that occurred in these districts in 2019 and 2020. The research employs a scoring technique where each parameter is rated according to its classification. The results of the scoring process are then analyzed to determine the level of crime-prone areas, categorizing them as very vulnerable, vulnerable, or not vulnerable. Based on respondents' feedback, the application facilitates users in locating crime-prone areas, with 94.34% of responses indicating agreement or strong agreement. These results suggest that the application is feasible for implementation.
Evaluasi Ekowisata Berbasis Skenario dari Aspek Pemanfaatan Sumberdaya Air dengan Aplikasi Model Sistem Dinamik, di Kawasan Kampung Merabu, Kalimantan Timur Rahma, Nuzula Elfa; Sian Prasetya, FV Astrolabe; Yulma, Yulma
Jurnal Harpodon Borneo VOLUME 14 NO. 2 OKTOBER 2021
Publisher : Fakultas Perikanan Dan Ilmu Kelautan Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/harpodon.v14i2.2116

Abstract

Tujuan penelitian ini adalah untuk mengidentifikasi sub-sistem dan variabel dalam pemanfaatan sumberdaya air terkait sektor ekowisata di Kampung Merabu serta menganalisis pola pemanfaatan air yang berkelanjutan dengan berbagai skenario pengembangan ekowisata. Kampung ini terletak di Kecamatan Kelay, Kabupaten Berau, Kalimantan Timur. Metode yang dilakukan adalah dengan pendekatan model sistem dinamik. Untuk dapat membangun model sistem dinamik, digunakan perangkat lunak yaitu Vensim. Ada tiga sub-sistem utama yaitu: 1) air limbah domestik kegiatan selain jamban, 2) air limbah domesti kegiatan jamban, 3) pemakaian air. Ketiga sub-sistem tersebut dihubungkan dengan dua badan air yang berada di kawasan Kampung Merabu yaitu sungai Lesan dan Danau Nyadeng, yang kemudian dihubungkan dengan variabel penduduk dan wisatawan. Kedua badan air ini memiliki peran pemanfaatan yang berbeda. Sungai Lesan adalah tempat berakhirnya air limbah domestik, sedang Danau Nyadeng adalah sumber air bersih penduduk. Ada empat skenario yang disimulasikan, yaitu satu baseline dan tiga lainnya berbasis pertumbuhan wisata (dengan periode 25 tahun). Hasilnya skenario pertumbuhan wisata tidak dapat dijadikan sebagai dasar strategi pengembangan ekowisata Merabu, karena beban pencemar air limbah domestik eksisting telah melampaui daya dukung lingkungan. Perlu diupayakan adanya sistem pengelolaan air limbah domestik setempat, sebagai bagian dari strategi pengembangan sektor ekowisata di kampung Merabu.
Geographic Information System Fire Disaster Mapping in Samarinda City Web-Based Fajar, Muh. Ibnu; Khamidah, Ida Maratul; Prasetya, F. V. Astrolabe Sian
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.v1i1.8

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 Ahwa, Aca Al; Suswanto, Suswanto; Prasetya, F. V. Astrolabe Sian
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.v1i1.11

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.
Co-Authors Aca Al Ahwa Agung Wiyanda Ahwa, Aca Al Almy Faturahim Nur Insan Alvina Resha Octaferina Annafi Franz annafi franz, annafi Annafiyah ARDIANSYAH ARDIANSYAH Ardiansyah Ardiansyah Arini Rajab Arsya Farky Fadjuani Azzahro, Namira Nur Dana Rahmadi Dawamul Arifin Eko Junirianto Erwin Samuel Situmorang Fadlin, Feri Fajar, Muh. Ibnu Herijanto Thamrin Ida Maratul Khamidah Ida Maratul Khamidah Iswinanto Denis Junirianto, Eko Karim, Syafei Kevin Rivaldi Sosang M. Faisal Abimanyu Muh. Ibnu Fajar Muhammad Yani Muhammad Yani, Muhammad Namira Nur Azzahro Nia Kurniadin Nurgiantoro, Nurgiantoro Pratirta Pratirta Pratirta, Pratirta Pravasta Kiko Setiawan Hadi Radik Khairil Insanu Rahma, Nuzula Elfa Romansah Wumu Rukmi Salsabila, Unik Hanifah Shabri Indra Suryalfihra Situmorang, Erwin Samuel Sri Jimy Kustini Sundarti, Anisa Suparjo Suswanto Suswanto Suswanto Suswanto Suswanto, Suswanto Tarsius Aloysius Pedor Wawan Feri Widyasasi, Dyah Yulma, Yulma Zulfha Diya Nur Ardzilla