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All Journal International Conference on Engineering and Technology Development (ICETD) Jurnal Transportasi Jurnal Rekayasa Sipil JURNAL TIARSIE Jurnal Rekayasa Infrastruktur Kresna: Jurnal Riset dan Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Jurnal Jalan Jembatan
Siegfried Siegfried
Pusat Penelitian Dan Pengembangan Jalan Dan Jembatan Departemen Pekerjaan Umum
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Transportation

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Journal : JURNAL TIARSIE

 1 
Calculation of Effective Structural Number Using Simple Neural Network for Some Road Links in Indonesia Siegfried Syafier
Jurnal Tiarsie Vol 14 No 2 (2017): Jurnal TIARSIE 14.2
Publisher : Fakultas Teknik Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.616 KB) | DOI: 10.32816/tiarsie.v14i1.15

Abstract

In the pavement maintenance system, the parameter of effective structural number (SNeff) would be a considered factor in deciding whether a road link would be repaired or not. To calculate this parameter, it is required the testing of Falling Weight Deflectometer (FWD) and information of layer composition and thicknesses. The combination of these information and using the method of AASHTO’93, it can be calculated the SNeff. These two information generally would be gained through the testings of core drill and test pit which would take time and cost. To overcome these problems, the neural network method or precisely the artificial neural network is developed for analysis of pavement structure. From the analysis, it can be said that the neural network of single perceptron can be used for predicting the SNeff with an acceptable error. In general the value of SNeff obtained from neural network calculation is lower than that of AASHTO’93. In this paper it is also recommended to develop the neural network using multi layer perceptron for the use on pavement system analysis that might be decreasing the error.
Penggunaan Light Weight Deflectometer Pusjatan Untuk Quality Control Pekerjaan Pemadatan Tanah Dasar Siegfried Syafier
Jurnal Tiarsie Vol 15 No 2 (2018): Jurnal TIARSIE 15.2
Publisher : Fakultas Teknik Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.498 KB) | DOI: 10.32816/tiarsie.v15i2.35

Abstract

Pemadatan merupakan salah satu aktivitas yang perlu mendapat perhatian penuh dalam pelaksanaan konstruksi suatu sistem perkerasan jalan. Untuk itu perlu dilakukan quality control yang ketat dalam pelaksanaannya. Tanah dasar sebagai bagian dari sistem perkerasan jalan merupakan bagian yang tidak terpisahkan dari sistem tersebut. Kebutuhan akan tanah dasar yang kuat dimulai dari proses pemadatan dan pengawasan pelaksanaannya. Light Weight Deflectometer (LWD) Pusjatan menjadi salah satu alternatif alat untuk melaksanakan quality control pemadatan. Terlihat bahwa dengan menggunakan alat LWD Pusjatan ini sebagai alat bantu quality control beberapa keuntungan bisa didapat antara lain efisien dari segi waktu, biaya, dan jumlah personil yang dibutuhkan.
Co-Authors Alfhi Iskandar Armela, Haliena Bambang Sugeng Subagio Bambang Sugeng Subagio Caroles, Lucky Djunaedi Kosasih Djunaedi Kosasih Fauzia Mulyawati Haliena Armela Ida Rumkita Ida Rumkita S Ilyas Suratman Ilyas Suratman Indah Arlini Kania, Bayu Neni Kusnianti, Neni Niken Wukirasih Nyoman Suaryana Nyoman Suaryana, Nyoman Pratikso Pratikso Rumkita, Ida S, Ida Rumkita Santosa, Sapta Sri Atmaja P. Rosyidi Sri Atmaja P. Rosyidi Sufanir A M S Syahril Syahril Syahril Syahril Utomo, Eko Wahyu Wukirasih, Niken