Yogyakarta, Indonesia

Ahmad Dahlan University

Yogyakarta, Indonesia
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Perwitasari D.A.,Ahmad Dahlan University | Attobari J.,Gadjah Mada University
International Journal of Pharmacy and Pharmaceutical Sciences | Year: 2014

Objective: Organic Cation Transporter1 (OCT1), was known as the highly polymorphism of polyspesific transporter. The genetic variability of OCT1 might alter the drug response, such as metformin, imatinib, levodopa and 5-Hydroxytriptamine Receptor Antagonist (5-HTRA) drugs. This study was aimed to know the variability of OCT1 gene in Indonesian Cancer patients. Methods: The SNPs of OCT 1; rs12208357, rs55918055, rs34130495, rs34059508 and amino acid substitution Meth420del were selected. Genotypes were established using Taqman assays and analysed on ABI 7500 realtime PCR System from Applied Biosystems according to manufacture's protocol of allelic discrimination. Results: There were no genetic variations found in the 202 Indonesian cancer patients according to the 4 SNPs included in this study and only 1.5% heterozygous were found in the Met420del. This finding is consistent with the previous studies in Japannese and Chinnese population. Conclusion: The further study is warranted to do the sequencing analysis which could find the most possible variants in Indonesian cancer patients.

Taram A.,Ahmad Dahlan University
Journal of Physics: Conference Series | Year: 2017

The aims of this research are to study: (1) probabilistic thinking ability of mathematics education students, (2) classification of the students' cognitive style, (3) levelling of the students' probabilistic thinking ability viewed from their cognitive styles. This research used the qualitative descriptive method and involved 74 subjects. The measured subjects were Group 1 with "fixed FD" classification consisted of 7 students, Group 2 with "mobile FD and mobile FI" classification consisted of 9 students, and Group 3 with "fixed FI" classification consisted of 5 students. The classification of cognitive styles into three groups revealed that there was suitability between cognitive style and probabilistic thinking ability from low to high level. These results could be analysed from the classification of cognitive style and an average of their value of probabilistic thinking ability. The average of probabilistic thinking ability of Group 1 was 42.58; the average of probabilistic thinking ability of Group 2 was 54.44, and the average of probabilistic thinking ability of Group 3 was 68.6. Group 1 and 3 had small standard deviation for the value of probabilistic thinking ability, respectively are 11.36 and 12.30. Thus the data was relatively homogeneous. Meanwhile, Group 2 had a huge standard deviation for the value of probabilistic thinking ability, namely 19.36 which means that the data was relatively heterogeneous. Most of the probabilistic thinking ability level for Group 1 and 2 was Level 2, which is Transitional level, while the most of the probabilistic thinking ability level for Group 3 was Level 4, which is Numeric level. © Published under licence by IOP Publishing Ltd.

Nurkhasanah,Ahmad Dahlan University
International Journal of Pharmacy and Pharmaceutical Sciences | Year: 2015

Objective: The objective of this study was to determine the effect of ethanolic extract rosella calyx pretreatment on increasing secretion of IL-10 and IL-14 on SD rats treated with DMBA. Methods: Rats were treated with a dose of ethanol extract of roselle with 10, 50 and 100 mg ?kg BW once daily for 21 days, then treated with DMBA 15mg ?rat single dose. One week after DMBA treatment lymphatic organs of mice were taken and the expression of IL-10 and IL-14 were observed by immunohistochemistry using the appropriate antibodies. Further more it was observed using a microscope at 400x magnification. Result: The results showed that the obtained were analyzed using t-test to determine to what the effect of increased secretion of IL-10 and IL-14 between the control and treatment groups. Conclusion: Rosella calyx extract is potential to develop as immunomodulatory agent. © 2015, International Journal of Pharmacy and Pharmaceutical Science. All rights reserved.

Abdullah Z.,University of Malaysia, Terengganu | Herawan T.,Ahmad Dahlan University | Deris M.M.,University Tun Hussein Onn Malaysia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Development of least association rules mining algorithms are very challenging in data mining. The complexity and excessive in computational cost are always become the main obstacles as compared to mining the frequent rules. Indeed, most of the previous studies still adopting the Apriori-like algorithms which are very time consuming. To address this issue, this paper proposes a scalable trie-based algorithm named SLP-Growth. This algorithm generates the significant patterns using interval support and determines its correlation. Experiments with the real datasets show that the SLP-algorithm can discover highly positive correlated and significant of least association. Indeed, it also outperforms the fast FP-Growth algorithm up to two times, thus verifying its efficiency. © 2010 Springer-Verlag.

Abdullah Z.,University of Malaysia, Terengganu | Herawan T.,Ahmad Dahlan University | Deris M.M.,University Tun Hussein Onn Malaysia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

A research in mining least association rules is still outstanding and thus requiring more attentions. Until now; only few algorithms and techniques are developed to mine the significant least association rules. In addition, mining such rules always suffered from the high computational costs, complicated and required dedicated measurement. Therefore, this paper proposed a scalable model called Critical Least Association Rule (CLAR) to discover the significant and critical least association rules. Experiments with a real and UCI datasets show that the CLAR can generate the critical least association rules, up to 1.5 times faster and less 100% complexity than benchmarked FP-Growth. © 2010 Springer-Verlag Berlin Heidelberg.

Sutikno T.,Ahmad Dahlan University | Sutikno T.,University of Technology Malaysia | Idris N.R.N.,University of Technology Malaysia | Jidin A.,Hang Tuah University
Renewable and Sustainable Energy Reviews | Year: 2014

The first and the most important step in solving the environmental problems created by cars with internal combustion engines is research and development of electric vehicles. Selection of a proper drive and optimal control strategy of electric vehicles are the major factors to obtain optimal energy management in order to extend the running distance per battery charge. This paper presents a brief review of direct torque control (DTC) of induction motors (IM) as well as its implementation for electric vehicle (EV) applications. First, the basic DTC technique based on hysteresis controllers will be introduced, and then an overview of the major problems in a basic DTC scheme will be presented and explained, as well as some efforts for improving the technique. The main section presents a critical review of DTC for EV applications, taking into consideration the vehicle mechanics and aerodynamics of electric vehicles. The review is very important to provide guidelines and insights for future research and development on the DTC of IM drives for sustainable reliability and energy efficient EV applications. © 2014 Published by Elsevier Ltd. All rights reserved.

Sulisworo D.,Ahmad Dahlan University
International Journal of Emerging Technologies in Learning | Year: 2012

Collaboration has become one of an essential skill necessary for effective functioning in society in the new era. As a consequence, the learning strategy at the higher education should consider this shifting. Web 2.0 technology is a new trend in communication technology that has become a basis of the new generation internet to make it a more mature and distinctive medium of communication. The problem is how to bring the offline learning using cooperative learning based on classroom to the online learning using this wiki. The learning design on this topic will give wide opportunity to access learning that more suitable to the new skill in the new era. Wikispaces is one of wiki facilities that operated in the web based. This wiki is so simple but suitable for collaborative learning. The learning scenario is Jig Saw approach modified to fit in the online collaborative learning environment. This technique, including two different treatments with different small groups in order to help learning and improving cooperation between students. Using this structure, students are responsible for share their skill or knowledge each other material.

Soetedjo H.,Ahmad Dahlan University
Sensors and Transducers | Year: 2011

The detections have been carried out to the nitrocellulose membrane (wet and dry condition) using a self-construction of polarized reflection spectroscopy. The measurement was done by illuminating the sample at an incident angle of 70° using a visible light source and then analyzing the reflected light off the sample received by the detector of spectrometer. From the investigation, the change of water content introduced to the membrane has been observed respects to the observation time. The water molecules present in or left the porous of membrane could be detected through the investigating of reflected intensities obtained from the measurement. Copyright © 2011 IFSA.

Yanto I.T.R.,Ahmad Dahlan University | Vitasari P.,Universiti Malaysia Pahang | Herawan T.,Ahmad Dahlan University | Deris M.M.,University Tun Hussein Onn Malaysia
Expert Systems with Applications | Year: 2012

Computational models of the artificial intelligence such as rough set theory have several applications. Data clustering under rough set theory can be considered as a technique for medical decision making. One possible application is the clustering of student suffering study's anxiety. In this paper, we present the applicability of variable precision rough set model for clustering student suffering studies anxiety. The proposed technique is based on the mean of accuracy of approximation using variable precision of attributes. The datasets are taken from a survey aimed to identify of studies anxiety sources among students at Universiti Malaysia Pahang (UMP). At this stage of the research, we show how variable precision rough set model can be used to groups student in each study's anxiety. The results may potentially contribute to give a recommendation how to design intervention, to conduct a treatment in order to reduce anxiety and further to improve student's academic performance. © 2011 Elsevier Ltd. All rights reserved.

Sutikno T.,Ahmad Dahlan University | Sutikno T.,University of Technology Malaysia | Idris N.R.N.,University of Technology Malaysia | Jidin A.,University Technical Malaysia Melaka | Cirstea M.N.,Anglia Ruskin University
IEEE Transactions on Industrial Informatics | Year: 2013

This paper presents a novel direct torque control (DTC) approach for induction machines, based on an improved torque and stator flux estimator and its implementation using field-programmable gate arrays (FPGA). The DTC performance is significantly improved by the use of FPGA, which can execute the DTC algorithm at higher sampling frequency. This leads to the reduction of the torque ripple and improved flux and torque estimations. The main achievements are: 1) calculating a discrete integration operation of stator flux using backward Euler approach; 2) modifying a so called nonrestoring method in calculating the complicated square root operation in stator flux estimator; 3) introducing a new flux sector determination method; 4) increasing the sampling frequency to 200 kHz such that the digital computation will perform similar to that of the analog operation; and 5) using two's complement fixed-point format approach to minimize calculation errors and the hardware resource usage in all operations. The design was achieved in VHDL, based on a Matlab/Simulink simulation model. The Hardware-in-the-Loop method is used to verify the functionality of the FPGA estimator. The simulation results are validated experimentally. Thus, it is demonstrated that FPGA implementation of DTC drives can achieve excellent performance at high sampling frequency. © 2005-2012 IEEE.

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