IPTEK Journal of Proceedings Series
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Surface Functionalization of Upconversion Nanoparticle for Biological Usage
Get PDFUpconversion nanoparticle (UCNP) coated with uniform silica shells, which were further functionalized with poly(ethylene glycol) (PEG) and (3-aminopropyl)triethoxysilane (APTES), produces water dispersible core-shell structured UCNPs with average hydrodynamic size around 100 nm. The hydrothermal treatment to the particle stabilize amines of APTES on the surface of UCNPs. The stable and positive zeta potential also prove that the amines is successfully attached on the particle’s surface, with good stability in colloidal solution. We also discovered that hydrothermal treatment temperature over 200 oC diminish the luminescence properties of UCNPs
Business Process Anomali Detection using Multi-Level Class Association Rule Learning
Get PDFRecently, Business Process Management System (BPMS) is widely used by companies in order to manage their business process. The company’s business process has a possibility to have changes which can cause some variations of business process. These variations might be contain some anomalies. Any anomalies that can make some losses for the company can be regarded as a fraud. There were some research have done to detect anomalies in business process. But, there is some issues that still need improvement especially on the accuracy. This paper proposed Multi-Level Class Association Rule Learning method (ML-CARL) to detect business process anomalies accurately. This method is supported by the process mining method which is used to analyze the anomalies in process. From the experiment, ML-CARL method can detect anomalies with an accuracy of 0.99 and better than ARL method in previous research. It can be concluded that ML-CARL method can increase the accuracy of business process anomaly detection
Simulation Study of Parameter Estimation Two-Level GSTARX-GLS Model
Get PDFGSTAR is a special form of the VAR model and is one of the commonly used models for modeling and forecasting time series data and location. At GSTAR modeling, estimation method used is OLS, the method is considered to have a weakness, which will result in an inefficient estimator. Thus, one appropriate method is GLS. In this study, conducted modeling GSTARX two levels by adding a predictor of calendar variation model. Parameter estimation of the first level models made of predictors with a linear regression model, while the second level models using error models which is done on first level with GSTAR model. Calendar variation model discussed is the impact of Ramadhan effect. Results of the simulation study showed that GSTAR-GLS models produces a more efficient estimator than GSTAR-OLS, seen from the obtained standard error smaller
Aliphatic Biomaker Coal of Seram Island, Maluku Province
Get PDFCharacteristic of organic geochemistry (biomarker) gives information about environment of coal. Coal was extracted by dichloromethane:methanol (93:7) for 72 h. Extract was obtained then fractionated by its polarity using column chromatography McCharty method. Subsequently, it was extracted to obtain neutral, acid and polar fractions. Neutral fraction was separated by KLTP methode and the extract were fractionated into hydrocarbon component which consist of Aliphatic and Aromatic compounds. The obtaining compounds were characterized by GCMS. Result of GCMS analyzed in Aliphatic fraction shown presence of n-alkane and derivate of terpen.These compounds are considered as important derivatives from natural products of higher plants and some compounds were expected formed by bacteri
The SFA-LSSVM as a Decision Support System for Mitigating Liquefaction Disasters
Get PDFAdvanced data mining techniques are potential tools for solving civil engineering problems. This study proposes a novel classification system that integrates smart firefly algorithm (SFA) with least squares support vector machine (LSSVM). SFA is an optimization algorithm which combines firefly algorithm (FA) with smart components, namely chaotic logistic map, chaotic gauss/mouse map, adaptive inertia weight and Lévy flight to enhance optimization solutions. The least squares support vector machine (LSSVM) was adopted in this study for its superior performance of solving real-world problems. Based on the provided engineering data, the analytical results confirm that the SFA-LSSVM has 95.18% prediction accurac
Synthesis of Polymeric Membrane for Desalination Process
Get PDFCellulose acetate/polyethylene glycol 200 (CA/PEG) membrane with ration 80/20 (wt%) was modified with varying amount of silica in many concentration (1-5% w/v). CA/PEG-200 membranes were characterized for their hydrophilicity, functional groups and permeation properties. The increasing of CA at CA/PEG membrane make membrane more dense and hydrophilicity of membrane decreases. Membrane hydrophilicity, permeate flux, permeability, and salt rejection increase with the increasing of silica concentration in CA/PEG membrane. The experiment results show that the highest salt rejection was obtained when 5% silica was added into CA/PEG (80/20) membrane
Aromatic Hydrocarbons of Wondama Coal, Papua Barat
Get PDFWondama coal were subjected to solvent extraction and aromatic hydrocarbon fractions obtained by thin layer chromatography with n-hexane as eluent. Aromatic fractions identified by Gas Chromatography-Mass Spectroscopy (GC-MS). Aromatic seskuiterpenoids, diterpenoid and triterpenoids were found in Wondama coal. This composition illustrates sources of organic matter derived from terrestrial higher plants
Isolation of Antioxidant Compounds from Mangiferaindica L. Leaves
Get PDFThe free radical scavenging activity of Mangiferaindica L. Leaves had been performed. The methanol extract showed the highest 2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) free radical scavenging activity among other extracts. Bioassay guided fractionation was performed and yielded three isolated compounds. Their structures were identified as mangiferin (1), friedelin (2) and lupeol (3). Mangiferin exhibited free radical scavenging activity, with an IC50 value of 12.12 µg/mL in vitro
Simulation of Solar-Assisted Single Stage Absorbtion Chiller as Ice Maker Based on MATLAB
Get PDFIn this research, the system is described in the two-dimensional form to simplify the completion and modeling. There are various kinds of components, among others: evaporator, condenser, Solution Heat Exchanger (SHX), absorber, generator (including solar collector), pumps, and expansion valve
Abstract of Keynote Speaker : Potential of e-Learning for Enhancing Graduate and Undergraduate Education
No full textMany educational institutes as well as governments focus on education utilize Information Communication Technology (ICT), and the word “e- Learning” is used in various contexts. There are many attractive aspects in e-Learning such as possibility to reduce the restriction due to spatial and temporal distance, possibility to improve the quality of education, and possibility to share educational resources among institutions. It is obvious to reduce the restriction by means of ICT such as mobile network. Also when a course is designed, the achievement level needs to be defined to satisfy the expected level of curriculum such as the diploma policy. In such a design process, it is possible to improve and sustain the achievement level of the course. In this paper, the principle motivation to utilize campus-wide e- Learning in Kumamoto University is explained as the background, then example courses of undergraduate and graduate programs are detailed to discuss the potential of e- Learning for enhancing educatio