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All Journal Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Jurnal Teknologi Informasi Cyberku
Basuki Setiyo Budi
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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

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Penanganan Limbah Organik Pada Tambak Untuk Memperbaiki Kualitas Tanah Dasar Tambak Basuki Setiyo Budi
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol 20, No 1 (2015): WAHANA Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v20i1.140

Abstract

Pond development a river embankment Samtren Mangunharjo Tugu Semarang is done without regard to the technical prerequisites such as irrigation systems, supply and exhaust channels, broad expanse of the maximum, planning, design, layout and construction of ponds that are less coordinated, and without management contaminant causing environmental degradation Mangunharjo region, which in turn lowers the productivity of the pond. The purpose of this study is to examine the fundamental characteristics of organic matter on the pond bottom soil by using micro-organisms. Contact time and the process by utilizing micro-organisms is the novelty of this study. Provision of organic waste is influenced by two factors, the first factor is the large concentration of micro-organisms that function as decomposers of organic waste and controlling selectivity allowance to degrade organic waste. The second factor is the contact time is the period average - Average required to react with the organic waste in the soil microbial pond. To gain a comprehensive understanding of the process, this research is focused on reduction of process parameters by utilizing micro-organisms and the contact time and concentration of organic waste. While the technical aspects paralleled through laboratory experiments, theoretical models and pilot-scale test in the pond. Characteristics of the allowance system is analyzed based on the rate of elimination of organic waste organic wastes, contact time and concentration of micro-organisms. Evaluation was also conducted to determine the feasibility and advantages of technology and commercial applications. Research conducted laboratory scale then performed preliminary studies with varying characteristics of process parameters of micro-organism concentration, contact time, developed a management model and the characteristics of the organic waste to the pond bottom soil management and techno-economic evaluation. This study provides measurable outcomes such as: (i) management models and characterization of organic waste in the pond bottom soil in coastal environmental management of the effort. (ii) Product pond bottom soil management technologies. (iii) scientific publications in journals.
Seleksi Arah Sudut Komputasi Dan Fitur Glcm Pada Kstraksi Citra Kayu Jati, Mahoni, Mindi, Dan Sengon Stefanus Santosa; Martono Martono; Marchus Budi Utomo; Basuki Setiyo Budi
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol 23, No 2 (2018): Wahana Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v23i2.1363

Abstract

Research on feature extraction of wood texture with features and angle direction israrely done, especially in teak, mahogany, mindi, and albasia. This research isneeded to select more efficient and effective features and angle directions to identify wood species. The features tested were Angular Second Moment (ASM), Contrast, IDM / Homogenity, Entropy, Correlation and the direction of the computational 0, 45, 90, and 135 degrees of gray level co-occurrence matrix (GLCM). The experimental results show that the selected angles are 0, 45, and 90 degrees and features are IDM and Entropy.Kata kunci : gray level co-occurrence matrix (GLCM), features extraction, woodclassification
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 Karnawan Joko Setiyono Marchus Budi Utomo Martono Martono Martono Martono Stefanus Santosa Tjokro Hadi Triatmo Sugih Hardono