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All Journal Geoplanning : Journal of Geomatics and Planning Spatial : Wahana Komunikasi dan Informasi Geografi Komatika: Jurnal Pengabdian Kepada Masyarakat Journal of Geospatial Science and Technology Geoid - Journal of Geodesy and Geomatics
Muhammad Iqbal Taftazani, Muhammad Iqbal
Sekolah Vokasi Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences

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Journal : Journal of Geospatial Science and Technology

 1 
Uji Akurasi Hasil Pengukuran GNSS Metode Statik dan RTK-NTRIP dengan Referensi CORS GMU2 Anandito Hardiyoso; Taftazani, Muhammad Iqbal
Journal of Geospatial Science and Technology Vol 3 No 1 (2025): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v3i1.17071

Abstract

Global Navigation Satellite Systems (GNSS) technology continues to develop, including in terms of supporting infrastructure development. One of the latest infrastructure developments is the establishment of the GMU2 Continuous Operating Reference Systems (CORS) station on October 14, 2023, the result of cooperation between DTK Vocational School UGM and PT Kantara Group. This applicative activity aims to test the accuracy of GNSS measurements using static and RTK-NTRIP methods with the CORS GMU2 reference and compare it with CORS JOGS in Yogyakarta. GNSS data was obtained from nine measurement points using static and RTK-NTRIP methods with CORS GMU2 and JOGS as reference stations. The static method refers to the SNI standard Horizontal Control Net with a recording interval of 15 seconds for 20 minutes, while RTK-NTRIP uses real-time correction via the internet. Analysis was conducted through the calculation of standard deviation, RMSE, and significance test of coordinate differences. The results show that the static method with the GMU2 reference produces standard deviations of the Easting component of 0.03 cm to 0.09 cm, Northing of 0.02 cm to 0.09 cm, and height of 0.05 cm to 0.17 cm. The RTK-NTRIP method produces standard deviations of the Easting component of 0.12 cm to 4.46 cm, Northing of 0.11 cm to 5.00 cm, and height of 0.21 cm to 6.77 cm. Although the precision of GMU2 CORS is quite good, its accuracy is lower than that of JOGS CORS, with significant differences at some points. The total RMSE for the static method reached 37.565 cm, while the RTK-NTRIP method ranged from 41.010 cm to 42.572 cm. Significance tests showed significant differences at most points, with null hypothesis rejection of 100% for the static method and 78 to 81% for RTK-NTRIP. In conclusion, further evaluation is needed to ensure the reliability of GMU2 CORS as a reference station.
Perhitungan Jumlah Pohon Kelapa Sawit Pada Citra Ortofoto Menggunakan Algoritma Template Matching dan Faster R-CNN Deyosky, Suzi Tessa; Taftazani, Muhammad Iqbal
Journal of Geospatial Science and Technology Vol 1 No 1 (2023): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v1i1.5423

Abstract

Data ortofoto telah banyak digunakan untuk pemantauan kondisi lahan pertanian, khususnya kelapa sawit. Kelapa sawit berperan penting dalam meningkatkan perekonomian Indonesia. Oleh karena itu dibutuhkan perhitungan pohon secara otomatis untuk mempercepat proses monitoring perkebunan secara akurat dan berkala. Penelitian ini bertujuan untuk menghitung jumlah pohon kelapa sawit secara otomatis menggunakan dua algoritma, yaitu Template Matching dan Faster R-CNN. Lokasi penelitian mencakup area perkebunan kelapa sawit yang terletak di Kecamatan Bunga Raya, Kabupaten Siak, Provinsi Riau. Data yang digunakan yaitu data foto udara perkebunan kelapa sawit PT. Teguh Karsa Wana Lestari pada tahun 2017. Data foto udara diolah menjadi data ortofoto. Data ortofoto selanjutnya digunakan untuk perhitungan pohon secara otomatis menggunakan kedua algoritma. Uji akurasi setiap algoritma dibandingkan dengan acuan hitungan manual yang diasumsikan memiliki ground truth. Hasil perhitungan manual (ground truth) sebanyak 4777 pohon, dan hasil perhitungan secara otomatis dengan template matching yaitu 4500 pohon dengan selisih 277 pohon lebih sedikit dibandingkan dengan ground truth. Selain itu, Faster R-CNN menghasilkan 4713 pohon dengan selisih 64 pohon lebih sedikit dibandingkan dengan ground truth. Overall accuracy perhitungan pohon kelapa sawit dengan algoritma Template Matching sebesar 91,58%, Faster R-CNN sebesar 97,98 %. Dengan demikian, algoritma Faster R-CNN secara kuantitatif memberikan hasil yang lebih baik.
Pemanfaatan Data Pengukuran Mobile Laser Scanner untuk Analisis Perubahan Elevasi Ruas Tol Rahmadiansyah, Megan; Taftazani, Muhammad Iqbal
Journal of Geospatial Science and Technology Vol 2 No 1 (2024): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v2i1.6097

Abstract

Pembangunan jalan tol di Indonesia yang semakin pesat di Indonesia perlu diimbangi monitoring yang baik. Salah satu metode yang dapat dimanfaatkan untuk monitoring jalan tol adalah metode Mobile Laser Scanner (MLS) yang cukup efisien, salah satunya untuk monitoring elevasi jalan tol. Penelitian ini menggunakan data MLS Ruas Tol Terbanggi Besar Pematang Panggang Kayu Agung (TBPPKA) STA 27+500 s.d. STA 30+212 yang diambil pada tahun 2020 dan 2021 yang diolah menggunakan perangkat lunak Global Mapper dengan metode subtract surface untuk mengetahui nilai perubahan elevasinya. Hasil dari penelitian ini ditemukan adanya perubahan elevasi ruas tol TBPPKA dari tahun 2020 ke 2021 di Track A sebesar -0,017 m s.d. 0,022 m dan di Track B sebesar -0,025 m s.d. 0,019 m. The rapid development of toll roads in Indonesia must be balanced with good monitoring. One method that can be used for toll road monitoring is the Mobile Laser Scanner (MLS) method, which is quite efficient for monitoring toll road elevation. This study uses MLS data for the Terbanggi Besar Pematang Panggang Kayu Agung Toll Road (TBPPKA) STA 27+500 to STA 30+212 taken in 2020 and 2021, which is processed using Global Mapper software with the subtract surface method to determine the value of elevation changes. The results of this study found that there was a change in the elevation of the TBPPKA toll road from 2020 to 2021 on Track A of -0.017 m to 0.022 m and on Track B of -0.025 m to 0.019 m.
Co-Authors Akbar, Ananda Taufiq Anandito Hardiyoso Arrofiqoh, Erlyna Noor Deyosky, Suzi Tessa Erlyna Nour Arrofiqoh Hayuningsih , Annisa Farida I made Andi Arsana Ilmawan, Hanif Mayangsari, Wulan Ratna Nurrohmat Widjajanti Panuntun, Hidayat Parseno Parseno Prasteyo, Dhany Yudi Rahmadiansyah, Megan Rochmad Muryamto Schofield, Clive Setyawan, Afradon Aditya