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The Analysis of GCP Correction Toward GNSS-PPK for LandRegistration Base-map in Muktisari Village, Cipaku District, Ciamis Regency Niswah Selmi Kaffa; Regita Faridatunisa Wijayanti; Taufik Kusetiyohadi; Hesekiel Sijabat; Tedy Pranadiarso; Hilma Wasilah Robbani; Gholiqul Amrodh Alawy
Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik Vol 23 No 2 (2024): Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik
Publisher : Fakultas Teknik - Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/jt.vol23no2.571

Abstract

The Comprehensive Systematic Land Registration Program (PTSL) main requirement is land registration map in a scale of 1:1000 and horizontal accuracy (CE90) class 1 of 0,3 meters. Global Navigation Satellite System–Post Processing Kinematic (GNSS-PPK) provides good accuracy without Ground Control Point (GCP) correction, thus reducing cost and data acquisition time. GNSS-PPK without GCP correction is considered accurate in areas <500 meters elevation. This research aims to determine the GCP correction importance for photo accuracy in PPK process. This study analyzes aerial photo accuracy with and without GCP correction in areas with elevations from 200 to 430 meters. The data required are aerial photos, coordinates in RINEX files, Digital Terrain Model (DTM), and 8 GCP points. Coordinate files are calculated using the PPK method then used for photo correction. Photos are processed with and without GCP correction. Photo without GCP correction has a significant deviation than photo with GCP correction and does not meet the CE90 requirements. The accuracy has a negative correlation with an elevation of -0,041 without GCP and -0,76 with GCP. This study proves that GNSS-PPK method still requires GCP and it is not proven deviation in data without the GCP correction is directly proportional to elevation.
Pemodelan Tarikan Perjalanan Kendaraan pada Pusat Perbelanjaan Modern Kabupaten Jember Menggunakan Regresi Linier Metode Forward: Modeling of Vehicle Travel Attractions at Modern Shopping Centers in Jember District Using Linear Regression Forward Method Yahya, Ahmad Amir; Akhmad Hasanuddin; Tatang Maulana; Gholiqul Amrodh Alawy; Syaripin
Jurnal Rekayasa Sipil dan Lingkungan Vol. 9 No. 1 (2025): Jurnal Rekayasa Sipil dan Lingkungan
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jrsl.v9i1.53694

Abstract

Abstract In the urban area of ​​Jember Regency, there are five modern shopping centres with a shopping mall concept that are crowded and located in one sub-district. The development of these shopping centres has created a large trip attraction because the area has become a magnet for economic and social activities in the community. To determine the factors that influence the trip attraction of private vehicles, namely motorbikes and cars, to modern shopping centres in Jember Regency, a trip attraction modelling analysis was carried out using linear regression using the forward method to obtain the best linear regression model equation. The variables used are land area (X1), building area (X2), motorcycle/car parking area (X3), number of kiosks/tenants (X4), and number of employees (X5). The results of the study showed that the most influential factor in vehicle attraction in modern shopping centres in Jember Regency is land area. The best linear regression model for vehicle traction (vehicles/hour) for motorbikes is Y1 = 51.851 + 0.005 X1 with R2 = 0.934, while the best model for cars is Y2 = 14.511 + 0.005 X1 with R2 = 0.998X1 Abstrak Di kawasan perkotaan Kabupaten Jember terdapat lima pusat perbelanjaan modern berkonsep shopping mall yang ramai dikunjungi dan lokasinya berada pada satu kecamatan. Perkembangan pusat perbelanjaan tersebut menimbulkan tarikan perjalanan (trip attraction) yang besar karena kawasan tersebut menjadi magnet aktivitas ekonomi dan sosial masyarakat. Untuk mengetahui faktor-faktor yang memengaruhi tarikan perjalanan kendaraan pribadi yaitu sepeda motor dan mobil ke pusat perbelanjaan modern di Kabupaten Jember, maka dilakukan analisa pemodelan tarikan perjalanan menggunakan regresi linier metode forward untuk memperoleh persamaan model Regresi Linier yang terbaik. Variabel yang digunakan adalah luas lahan (X1), luas bangunan (X2), luas lahan parkir sepeda motor/mobil (X3),  jumlah kios/tenant (X4), dan jumlah karyawan (X5). Hasil penelitian menunjukkan bahwa faktor yang paling berpengaruh terhadap tarikan kendaraan di pusat perbelanjaan modern Kabupaten Jember adalah luas lahan. Model regresi linier terbaik untuk tarikan kendaraan (kend/jam) untuk sepeda motor adalah Y1 = 51,851 + 0,005 X1 dangan dengan R2 = 0,934, sedangkan model terbaik untuk kendaraan mobil adalah Y2 = 14,511 + 0,005 X1 dengan dengan R2 = 0,998X1.