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Optimization of EC Values of Nutrient Solution for Tomato Fruits Quality in Hydroponics System Using Artificial Neural Network and Genetic Algorithms
Herry Suhardiyanto,Chusnul Arif,Budi I. Setiawan
ITB Journal of Science , 2009,
Abstract: Total soluble solids (TSS) and fruit fresh weight are two indicators to show the quality of tomato fruits. To gain high values of TSS and fruit fresh weight, it is important to consider the concentration of nutrient solution, which is commonly represented by Electrical Conductivity (EC) value. Generally, the increasing of EC value not only increases the number of TSS, but also decreases fruit fresh weight. Therefore, it is important to optimize the EC value for both indicators of quality of tomato fruits. The objective of this research is to optimize the EC value of nutrient solution on each generative stage using Artificial Neural Network (ANN) and Genetic Algorithms (GA). ANN was used to identify the relationship between different EC value treatments with TSS value and fruit fresh weight. GA was applied to determine the optimal EC value in generative growth, which is divided into three stages. Results showed that the optimal EC values in the flowering stage, the fruiting stage and the harvesting stage were 1.4 mS/cm, 10.2 mS/cm and 9.7 mS/cm, respectively. Using these values, a tomato fruit could be estimated with TSS value of 7.9% and fruit fresh weight of 51.34 g.
Gogot Setyo Budi,Andy Cristanto,Eddy Setiawan
Civil Engineering Dimension , 2003,
Abstract: Swell and shrink behavior of expansive clays raise significant problem in the field of civil engineering. This paper presents the laboratory experiment of expansive soil stabilization using fly ash (FA). The amount of fly ash used in this experiment ranges from 10% to 25% of dry weight of soil. The results show that the addition of fly ash reduces the specific gravity (Gs), increases the plasticity index (PI), increases the dry density, decreases swelling potentials, and increases strength of soil. This experiment also shows that the increase of strength and the decrease of swelling potential were influenced by the curing time. Abstract in Bahasa Indonesia : Sifat kembang susut tanah expansif merupakan salah satu kendala yang cukup rumit dalam rekayasa bidang teknik sipil. Makalah ini mempresentasikan penelitian laboratorium tentang stabilisasi tanah expansif dengan menggunakan fly ash (FA). Kandungan fly ash yang ditambahkan bervariasi antara 10% sampai 25% dari berat kering tanah. Hasil penelitian menunjukkan bahwa penambahan fly ash ke dalam tanah dapat menurunkan specific gravity (Gs), meningkatkan indeks plastisitas (PI), meningkatkan berat volume kering (dry density), menurunkan potensi pengembangan (swelling potential), dan menaikkan kekuatan tanah. Sedangkan pengaruh curing menunjukkan bahwa, lamanya curing dapat menurunkan potensi pengembangan dan meningkatkan kekuatan. Kata kunci: tanah expansif, stabilisasi tanah, fly ash.
Induced Monocytes-Derived HSCs (CD34+) with LPS Accelerated Homing Rat Bone Marrow-Mesenchymal Stem Cell (BM-MSCs, CD105) in Injured Pancreas  [PDF]
Fedik A. Rantam, ? Purwati, Budi Setiawan, Sony Wibisono, ? Ferdiansyah, Joni Wahyuhadi, Edward Mouli, Dwikora N. Utomo, Heri Suroto, Candra Bumi
Journal of Biomedical Science and Engineering (JBiSE) , 2015, DOI: 10.4236/jbise.2015.85031
Abstract: Investigating the function of combining induced rat monocytes-derived bone marrow-haemopoietic stem cell (rat BM-HSCs) with LPS and rat bone marrow-mesenchymal stem cell (rat BM-MSCs) was to analyze the acceleration of homing process mechanism in injured pancreas. Mononucleated stem cells were isolated from aspirated whole rat BM using ficoll and cultured in α-MEM complete growth medium in 10 cm petridish. After two days, adherent cells after washing twice in petridish were added α-MEM growth medium and then mesenchymal cells were characterized using CD105 marker in third passage and labeled PKH26. Then haemopoietic stem cells (HSCs) were isolated with magnetic beads CD34+ and differentiated in vitro, and then induced monocytes with LPS. Animal experiment used 28 male Wistar rats, and divided them into 4 groups. After transplantation combined, both cells between monocyte derived HSc (mHSCs) and rat BM-MSC were analyzed expression of pair box gen 4 (Pax4), pancreatic and duodenal homeobox (Pdx1), C-peptide using immunohistochemistry, then secretion of insulin and C-peptide analyzed using indirect ELISA. Results showed that the expressions of Pax4, Pdx1, C-peptide found in the surface membrane cell of pancreatic cell, and secreted C-peptide and insulin were shown significant (P < 0.05) in transplanted group 2, 3 and 4, but in group 3 were transplanted with combined cells more dominant than non-combined cells. Conclusions suggested that combining of induced monocytes-derived HSCs and rat BM-MSCs has accelerated homing MSCs into injured pancreatic tissue.
Segmental Sinusoidal Model for Speech Signal Coding
Florentinus Budi Setiawan,Soegijardjo Soegijoko,Sugihartono,Suhartono Tjondronegoro
Makara Seri Teknologi , 2006,
Abstract: Periodic signal can be decomposed by sinusoidal component with Fourier series. With this characteristic, it can be modeled referring by sinusoidal form. By the sinusoidal model, signal can be quantized in order to encode the speech signal at the lower rate. The recent sinusoidal method is implemented in speech coding. By using this method, a block of the speech signal with 20 ms to 30 ms width is coded based on Fourier series coefficients. The new method proposed is quantization and reconstruction of speech signal by the segmental sinusoidal model. A segment is defined as a block of the speech signal from certain peak to consecutive peak. The length of the segment is variable, instead of the fixed block like the recent sinusoidal method. Coder consists of the encoder and the decoder. Encoder works to code speech signal at variable rate. Then coded signal will be transmitted to receiver. On the receiver, coded signal will be reconstructed, so that the reconstruction signal has the near quality compared with the original signal. The experimental results show that the average of segmental SNR is more than 20 dB.
The Impact of Bio-Ethanol Conversion and Global Climate Change on Corn Economic Performanve of Indonesia
Yudi Ferrianta,Nuhfil Hanani,Budi Setiawan,Wahib Muhaimin
International Journal of Agricultural Management and Development , 2012,
Abstract: Many studies conclude that the rise in global food pricesdue to higher demand from the development of biofuels,climate anomalies, and increased of oil prices. Not onlythe food commodity index rose more than 60 percent, nonfoodcommodity price index also rose over 60 percent andcrude oil price index has increased even further above 60percent. The purpose of this study is to analyze the impact ofbio-ethanol conversion and global climate change on corneconomic performance of Indonesia. The results showed thatthe food crisis caused by climate anomalies lead the worldcorn prices rose 50 percent, impact on Indonesia corn importsfell by 11.86 percent. And the other hand, the energy crisisthat caused the corn used as feedstock for ethanol that causedU.S. corn exports only 20 percent of their products have animpact on Indonesia on maize imports fell 32.4 percent.
Result of Six Local Upland Rice Cultivars of East Kalimantan at Different Plant Spacing
R. Rusdiansyah,Yazid Ismi Intara,Budi Indra Setiawan
International Journal of Science and Engineering , 2013, DOI: 10.12777/ijse.v4i2.4582
Abstract: The objective of this research was to evaluate the response of six upland rice cultivars from East Kalimantan over different plant spacing. The experiment was conducted at Kutai Kartanegara district in East Kalimantan, Indonesia. The experimental design used was the factorial experiment in Randomized Completely Block Design (RCDB) with three replications. The first factor was six upland rice cultivars of East Kalimantan, i.e.: v1 (Mayas Pancing), v2 (Gedagai), v3 (Bogor Putih), v4 (Mayas Putih), v5 (Serai) and v6 (Kunyit). The second factor was plant spacing i.e.: j1 (20 x 20 cm) and j2 (30 x 30 cm). The results showed that among the six cultivars, Gedagai, Bogor Putih and Kunyit produced higher yield than other varieties. Gedagai and Bogor Putih cultivars produced higher yield of 2.99 ton ha-1 at plant spacing 20 x 20 cm, whereas Kunyit produced higher yield of 2.66 ton ha-1 at plant spacing 30 x 30 cm. The agronomic characters showed that plant height of the six cultivars differed significantly at harvest time. In addition, highly significant differences of harvest time were observed of the six cultivars. Doi: http://dx.doi.org/10.12777/ijse.4.2.2013.66-68
Estimation of Water Balance Components in Paddy Fields under Non-Flooded Irrigation Regimes by using Excel Solver
Chusnul Arif,Budi Indra Setiawan,Masaru Mizoguchi,Ryoichi Doi
Journal of Agronomy , 2012,
Abstract: Water saving technologies such as non-flooded irrigation have been introduced in many rice production during the past decade. Water balance analysis is needed to quantify water supply, loss and consumption for maximization rice production under such irrigation. However, hydrological data are often limited because acquisition of measurements in the field is costly, complicated and time consuming, hence methods that can estimate water balance components based on the combined use of available measurement data and an appropriate model are required. This study presents the estimation method using excel solver to estimate non-measurable water balance components, i.e., irrigation water, crop evapotranspiration, percolation and runoff, in a paddy field under non-flooded irrigation. The method was examined in two cultivation periods under different weather conditions. The model validation, indicated by coefficient of determination (R2) values, was greater than 0.86 (p<0.01) between observed and calculated values of soil moisture. Furthermore, when relationships among precipitation and estimated runoff was compared, the reliability of the model was shown by the significant linear correlations with correlation coefficient (R2) higher than 0.98 (p<0.01). These results indicate the reliability and applicability of the proposed method for estimating non-measurable water balance components for rice production when only limited data of measurable components are available.
Estimation of soil moisture in paddy field using Artificial Neural Networks
Chusnul Arif,Masaru Mizoguchi,Budi Indra Setiawan,Ryoichi Doi
Physics , 2013,
Abstract: In paddy field, monitoring soil moisture is required for irrigation scheduling and water resource allocation, management and planning. The current study proposes an Artificial Neural Networks (ANN) model to estimate soil moisture in paddy field with limited meteorological data. Dynamic of ANN model was adopted to estimate soil moisture with the inputs of reference evapotranspiration (ETo) and precipitation. ETo was firstly estimated using the maximum, average and minimum values of air temperature as the inputs of model. The models were performed under different weather conditions between the two paddy cultivation periods. Training process of model was carried out using the observation data in the first period, while validation process was conducted based on the observation data in the second period. Dynamic of ANN model estimated soil moisture with R2 values of 0.80 and 0.73 for training and validation processes, respectively, indicated that tight linear correlations between observed and estimated values of soil moisture were observed. Thus, the ANN model reliably estimates soil moisture with limited meteorological data.
The Efficacy of Organo-Complex-Based Wood Preservative Formula Against Dry-Wood Termite Cryptotermes cynocephalus Light
Maya Ismayati,Khoirul Himmi Setiawan,Didi Tarmadi,Deni Zulfiana,Sulaeman Yusuf,Budi Santoso
Insects , 2011, DOI: 10.3390/insects2040491
Abstract: The utilization of pesticides often leaves residues which potentially pollute the environment. This journal issue has been encouraging some researchers to find an environmentally friendly insecticide by a cheaper wood preservative method. The International Standard for Phytosanitary Measures 15 (ISPM 15) [1] that is adopted in wood packaging protection in Europe is not suitable for tropical countries like Indonesia. Therefore, the treatment by Organo-Complex-based wood preservation, which consists of copper chromium combined with natural organic compounds, is proposed for effective treatment at a lower cost. The bioassay test was subjected to dry wood termite Cryptotermes cynocephalus Light. The result showed that wood materials treated by 10 ppm Organo-Complex formula gave good results which were indicated by the low consumption and the fast termination of the termites. The toxicity analysis of C-C organic compound solution is classified as grade IV (WHO, 2003) [2], or not harmful. Analysis of the residual content four weeks after the spraying treatment showed a significant reduction in the inorganic content (copper chromate complex), in the range of 35%, and in extracts of natural materials (natural extracts), above 80%.
Cross Entropy Method for Solving Generalized Orienteering Problem  [PDF]
Budi Santosa, Nur Hardiansyah
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.24044
Abstract: Optimization technique has been growing rapidly throughout the years. It is caused by the growing complexity of problems that require a relatively long time to solve using exact optimization approach. One of complex problems that is hard to solve using the exact method is Generalized Orienteering Problem (GOP), a combinatorial problem including NP-hard problem. Recently, there has been plenty of heuristic method development to solve this problem. This research is an implementation of cross entropy (CE) method in real case of GOP. CE is an optimization technique that relatively new, using two main procedures; generating sample solution and parameter updating to produce better sample for next iteration. At this research, GOP problem that occurs at finding optimal route consist of 27 cities in eastern China is investigated. Results indicate that CE method give better performance than those of Artificial Neural Network (ANN) and Harmony Search (HS).
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