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Journal : AGREGAT

PEMODELAN TRIP ATTRACTION KENDARAAN PRIBADI PADA RUMAH MAKAN ( STUDI KASUS: JL. MULYOSARI SURABAYA ) Miftachul Huda
AGREGAT Vol 1, No 2 (2016)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (654.323 KB) | DOI: 10.30651/ag.v1i2.334

Abstract

AbstractEvery Activities center as school, university, department store, shop, station, terminal, and others can causes movements of vehicles or people. Restaurant or cafe is one of activities center that causes movements of vehicles or people. The purpose of this research is to know the best model of trip attraction of private vehicles to the restaurant or cafe, and the private vehicles in this research is car and motorcycle that entered to parking place, and the locations in this research are McDonald’s, Kafetien88, Double Dipps, Pizza Hut, SAS Cafe & Resto, and Waroeng SS.The analysis of this research is using multiple regression method. In this research using two dependent variable (Y) and they are total motorcycle (Y1) and total car (Y2), and the independent variable (X) is land area (X1) and building area (X2), parking area (X3), total of table (X4), total of employee(X5), and total of menu (X6). The primer data in this research is traffic counting and the secondary data is land area, building area, parking area, total of table, total of employee, and total of menu. The analysis was started with multiple linier regression analysis, t test, F test, and determination and correlation test. The model of trip attraction of motorcycle (Y1) = -24.074 + 0,134 X2 + 1,087 X4 (R2 = 0,978) and the model of trip attraction of private car (Y2) = 1,118 + 0,033 X1+ 0,183 X4 (R2 = 0,994). Keywords: linier regression, modeling, restaurant, Surabaya,trip attraction  AbstrakSetiap pusat aktivitas seperti sekolah, universitas, pusat perbelanjaan atau mall, toko, stasiun, terminal, dan lain-lain akan menghasilkan pergerakan baik kendaraan maupun orang. Rumah makan merupakan salah satu pusat kegiatan yang menghasilkan pergerakan baik kendaraan maupun orang. Tujuan dari penelitian ini adalah untuk mengetahui model tarikan perjalanan terbaik untuk kendaraan pribadi yang menuju rumah makan, dan kendaraan pribadi pada penelitian ini adalah sepeda motor dan mobil yang masuk parkir lokasi studi dan lokasi studi pada penelitian ini adalah McDonald’s, Kafetien88, Double Dipps, Pizza Hut, SAS Cafe & Resto, dan Waroeng SS. Penelitian ini dianalisis dengan metode regresi linier berganda. Penelitian ini menggunakan dua variabel terikat (Y), yaitu jumlah sepeda motor (Y1) dan jumlah mobil pribadi (Y2), dan variabel bebas (X) adalah luas tanah (X1), luas bangunan (X2), luas lahan parkir(X3), jumlah meja makan (X4), jumlah keryawan(X5), dan jumlah menu makanan (X6). Data primer pada penelitian ini adalah survei kendaraan yang masuk parkir dan data sekunder pada penelitian ini adalah luas tanah, luas bangunan, luas lahan parkir, jumlah meja makan, jumlah karyawan, dan jumlah menu makanan. Analisis diawali dengananalisis regresi linier berganda, uji t, uji F, dan uji determinasi dan korelasi. Hasil analisis model tarikan perjalanan sepeda motor (Y1) = -24.074 + 0,134 X2 + 1,087 X4 (R2 = 0,978) dan tarikan perjalanan mobil pribadi (Y2) = 1,118 + 0,033 X1+ 0,183 X4 (R2 = 0,994). Kata Kunci: Kota Surabaya,pemodelan, regresi linier, rumah makan, tarikan perjalanan
Dampak Pembangunan SMPN 3 Blitar Terhadap Kinerja Lalu Lintas Sekitarnya Miftachul Huda; Dwi Muryanto
AGREGAT Vol 2, No 1 (2017)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.199 KB) | DOI: 10.30651/ag.v2i1.613

Abstract

SMPN 3 Blitar it will be build on Ciliwung street. It was one of access roads to Blitar City. SMPN 3 Blitar it will be operated in 2019, then has to knowed the impact of development on the performance of traffic around it. This study aims to determine the degree of saturation of existing, operating time, and five years after SMPN 3 Blitar was operated. The analysis of this study is using Indonesian Highway Capacity Manual (IHCM). The Primary data in this study is peak hour traffic volume, intersection geometric conditions, and the cycle time for signalized intersections around the site. While the secondary data in this study is the road network, an Origin Destination (OD), the GDP, and Blitar population. The analysis was started with calculating the flow of traffic at peak hours, the capacity of the intersection, and the degree of saturation. The results of the analysis of the degree of saturation (DS) was indicated that the value of the intersection on the condition of the existing DS (2016), which has a value ≥ 0.750 is the intersection of the Ciliwung-Bendo. While the value of DS at the time of SMPN 3 Blitar operation (2019), which has a value ≥ 0.750 is the intersection of the Ciliwung-Bendo. And the value of DS at five years after SMPN 3 Blitar was operated (2021), which has a value ≥ 0.750 is the intersection of the Ciliwung-Bendo.