Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Jurnal Teknologi Informasi Cyberku
Triatmo Sugih Hardono
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Model Regresi Linier Pengaruh Komposisi Kendaraan Terhadap Tingkat Kecelakaan Pada Jalan Tol Surabaya-Gempol Nur Setiaji Pamungkas; Junaidi Junaidi; Triatmo Sugih Hardono
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol 18, No 1 (2013): WAHANA Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v18i1.122

Abstract

Traffic accident is an event in which the unexpected and accidental, involve vehicles with or without other road users, resulting in loss of life or loss of property. The increasing number of vehicles as well as variation of the type and size of four or more wheeled vehicles of various dimensions and specifications of the vehicle, different speeds, driver behavior is not the same that would potentially cause symptoms that lead to the occurrence of traffic accidents on the freeway. This study aimed to determine the effect of the composition of vehicles in traffic flow on the highway accident rate in Surabaya-Gempol. Class composition of vehicles passing through the toll road will be analyzed influence on the rate of accidents (accident frequency = AF). This research is a study area toll roads Surabaya - Gempol that toll roads are divided into 2 lanes and 3 lanes. The method used in this study is the method of multiple linear regression analysis. Results of multiple linear regression analysis showed that only 1 of 4 linear regression model that showed that the variable composition of the vehicle has a significant effect on the frequency rate of accidents. While the other three regression models show the opposite result. This menunujukkan that improper linear regression model to predict the relationship between the independent variable composition with the vehicle accident rate on the highway Surabaya-Gempol.
PEMODELAN DESAIN CAMPURAN BETON DENGAN BACKPROPAGATION NEURAL NETWORKS Stefanus Santosa; Basuki Setiyo Budi; Karnawan Joko Setiyono; Tjokro Hadi; Triatmo Sugih Hardono
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 12 No 1 (2016): Jurnal Teknologi Informasi CyberKU Vol. 12, no 1
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (139.373 KB)

Abstract

Concrete is a mixture of materials that has complex characteristic so that it raises a variety of very complex models as well. The experts in concrete mixing believe that the formula to find compressive strength of a mixture is not good enough. Every mixture design only applies to one mixture only. Because of that, every mixture production who need even the slightiest diferrences in the base materials, will need a new mixture design. Concrete mixture modeling process is done manually with a variety of mixed composition and destructively testing has some drawbacks like expensive, unpredictable, and not environmental friendly. Besides of that, state of the art concrete mixture design modelling computation with Multilayer Perceptron Artificial Neural Network s (MLP) have RMSE = 5,27. Computational model developed in this study with the same data sets has more good performace than MLP model. From the results of experiments that have been carried out proved that the proposed model, Backpropagation Neural Network (BPNN), has lower error rate than MLP with RMSE = 4.18.
Co-Authors Basuki Setiyo Budi Junaidi Junaidi Karnawan Joko Setiyono Nur Setiaji Pamungkas Stefanus Santosa Tjokro Hadi