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Pemetaan Batimetri untuk Pertimbangan Alur Pelayaran Kapal Nelayan di Pantai Sembulang, Kecamatan Galang Rassarandi, Farouki Dinda; Chayati, Siti Noor; Sari, Luthfiya Ratna; Lubis, M Zainuddin; Gustin, Oktavianto; Ditya, Dwiki Novri; Aprilianda, Afifah; Wardani, Adelia Eky
Jurnal Geospasial Indonesia Vol 3, No 1 (2020): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.54654

Abstract

Sembulang is located in a strategic maritime location and supports the majority of the local population to work as fishermen. In addition, Sembulang is also directly adjacent to the waters of Mubut Island which is one of the favorite tourist attractions in Batam and also to the waters leading to Bintan and Tanjungpinang, making it a popular port for people in that location. However, until now there has not been an official sea map or cruise line map for traditional fishing boats / local transportation to support economic and tourism activities there. The flow of a cruise is very closely related to the depth of a waters. Water depth data can be used by fishermen and boat captains as a reference when they are sailing across Sembulang Beach. The purpose of this study was to analyze the bathymetry conditions in Sembulang Beach, Galang, which were used as a reference for safe and efficient ship grooves considerations. Bathymetry mapping is done by using multibeam echosounder to create a seafloor topographic map at the research location which is then analyzed based on the depth and width of the cruise line which is ideal for the specifications of traditional fishing vessels. Based on the analysis that has been done, it can be concluded that only ships with size <5 GT with the form of "V" Pump Boat, "V", "V" High Bow, "V" Katir, "V" Without Katir, "U" Katir and 5 GTs with safe "U" and "V" shapes to be anchored at Sembulang pier. In other words, traditional fishing boats with a size of GT 10 GT are not recommended to dock at the pier.
Pembuatan Peta Foto Udara Menggunakan Drone DJI Phantom 4 RTK dalam Pembelajaran Berbasis Proyek di Tanjung Riau, Kota Batam Roziqin, Arif; Gustin, Oktavianto; Irawan, Sudra; Lubis, Muhammad Zainuddin; Pratama, Rizki Widi; Rassarandi, Farouki Dinda; Sari, Luthfiya Ratna; Chayati, Siti Noor; Raptama, Mulia; Silvia, Ega; Haadi, Maulana Rafly Al; Zahra, Mulyani Aprilia; Sormin, Naomi Septania; Nova, Dithia Mardi; Adha, Muhammad; Sebayang, Amira Leoni Br; Lubis, Alwi Raihan; Nazara, Kasih Riang Bohouni
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 5 No 2 (2023): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v5i2.5542

Abstract

The rapid development of large-scale infrastructure in Indonesia indicates the need for solutions for fast crack applications with accurate results using methods that are efficient in terms of time and data generated. One example of the development of mapping technology in this modern era is aerial photography not only using manned aircraft, but you can also use an unmanned aerial vehicle or UAV (Unmanned Aerial Vehicle). This unmanned aircraft is better known as a drone, which is currently at an affordable price, easy to get and has the ability to shoot like a manned aircraft. Measurements were made using photogrammetric techniques from aerial photographs produced by drones. With results that have high accuracy, and can be done in the shortest possible time, then the use of drones in making topographic maps will be more widely used in the future. In our study and research survey that we conducted in the form of PBL (Project Based Learning) Politeknik Negeri Batam students in community service in the soaking village, Tanjung Riau, Batam Island, namely for making aerial photo maps using the DJI Phantom 4 RTK drone which we carried out in the village soak.
Drought Management in Batam using Combined NDVI-TCT Algorithm to Create a Classification Level Map Irawan, Sudra; Fitriania, Tita; Sari, Luthfiya Ratna; Natali, Suci Dayanti; Aji, Satriya Bayu; Sismanto
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.13033

Abstract

Drought constitutes a significant natural disaster with profound implications for agricultural productivity, economic stability, and ecological balance. Batam is one of the cities experiencing a high level of drought. At the end of 2022, Batam is actually on the verge of drought. The purpose of this study is to find out information on the distribution of potential for drought in Batam and the dominant factors affecting the potential for drought occurred using NDVI and TCT algorithms. This research employed remote sensing and GIS techniques, using Landsat 8 images to acquire parameters from NDVI, TCT, and Rainfall data, which are then processed through scoring and overlaying. The final step was to validate the vegetation index parameter by taking the coordinates. The final result is a map of the potential for drought in Batam, consisting of 5 classes of potential for drought.  The area with a very low potential for drought was located mostly in Sagulung, with an area of 2.661,89 Ha. The areas with low potential for drought were mostly located in Nongsa, Batam Center, Batu Ampar, Bengkong, Lubuk Baja, and Batu Aji, with an area of 7.175,22 Ha. The areas with a very high potential for drought were mostly located in Galang, Bulang, and Belakang Padang, with an area of 19.744,76 Ha. The area with moderate potential for drought was mostly located in Sungai Beduk, with an area of 22.122,71 Ha. The areas with high potential for drought were mostly located in Galang and Bulang, with an area of 35.663,89 Ha. It is concluded from the results of this research that the collective classification of high and very high drought potential levels covers up to 64% of the entire research area.