University of Technology of Indonesia

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Denpasar, Indonesia
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Nasution T.H.,University of Indonesia | Andayani U.,University of Technology of Indonesia
IOP Conference Series: Materials Science and Engineering | Year: 2017

The coffee beans roast levels have some characteristics. However, some people cannot recognize the coffee beans roast level. In this research, we propose to design a method to recognize the coffee beans roast level of images digital by processing the image and classifying with backpropagation neural network. The steps consist of how to collect the images data with image acquisition, pre-processing, feature extraction using Gray Level Co-occurrence Matrix (GLCM) method and finally normalization of data extraction using decimal scaling features. The values of decimal scaling features become an input of classifying in backpropagation neural network. We use the method of backpropagation to recognize the coffee beans roast levels. The results showed that the proposed method is able to identify the coffee roasts beans level with an accuracy of 97.5%. © Published under licence by IOP Publishing Ltd.


Mantoro T.,University of Technology of Indonesia | Reza M.,Budi Luhur University
2016 International Conference on Informatics and Computing, ICIC 2016 | Year: 2017

VANET is a part of MANET which is specific on communication between vehicle to vehicle or between vehicles to its surrounding environment infrastructure. One of the most widely used routing protocol at VANET implementation are AODV (Ad-hoc On-Demand Distance Vector) and DSDV (Destination Sequence Distance Vector Routing), which are topology based routing protocol. VANET dynamic network architecture and character of the node that always move, require a reliable routing protocol, since it related to safety. This study analyzes the performance of those routing protocol. The main objective of this study is analyzing the performance of AODV compare to DSDV using simulator SUMO, MOVE and NS2. © 2016 IEEE.


Tabet N.E.,Qatar University | Ayu M.A.,University of Technology of Indonesia
2016 International Conference on Informatics and Computing, ICIC 2016 | Year: 2017

Electronic payment (e-payment) has been around for decades and has been used all around the world. This type of payment has been evolved following the enhancement in the technology involved. One of the key issues in e-payment is the security of the system. Whether the sensitive data sent over the payment network is safe and secure. The process of this data transferring as well has evolved over the last decades. Currently, in the ubiquitous world, data is more and more transferred through the wireless mode. In the wireless mode itself, the technology has developed to provide faster, cheaper, and more secured data transaction. Near Field communication (NFC) is one of the emerging technologies that used in data transferring and has been applied in several sector, including the e-payment. NFC technology is still considered to be quite new and some of the vulnerabilities are not yet explored. This paper analyses the security side of NFC based payment systems. It discusses the threats that could occur, and the measures taken in order to ensure system security and performance efficiency. © 2016 IEEE.


Alkalbani A.S.,University of Buraimi UoB | Mantoro T.,University of Technology of Indonesia
2016 International Conference on Informatics and Computing, ICIC 2016 | Year: 2017

This study presents the effect of residual energy of nodes in Wireless Sensor Networks (WSNs). There are many issues and challenges that still need to be solved in this area especially for energy contrain. This factor considered during clustering and routing approached to maximize network lifetime. To prolong network lifetime, there is a need for efficient power control mechanisms to reduce power consumption in sensor nodes. At the same time, energy efficient techniques should be employed at all layers of the network. This paper proposed an approach for WSNs energy conservation in order to maximize network lifetime by investigating Residual Energy Effects on Wireless Sensor Networks (REE-WSN). The performance and efficiency of REE-WSA are measured through simulation results and analysis. © 2016 IEEE.


Tanuwijaya J.,University of Technology of Indonesia | Karsono,University of Technology of Indonesia
International Journal of PharmTech Research | Year: 2013

ODT (Orally Disintegrating Tablet) is a dosage form that designed to disintegrate immediately when placed on tongue. Therefore, the use of appropriate superdisintegrant in the formulation is the key aspect in the development of this dosage form. It is known that crospovidone and croscarmellose sodium are superdisintegrants that can generate good ODT disintegration profiles. However, the differences of their effects are still unknown. In this study, the ODT characteristics prepared by using crospovidone and croscarmellose sodium as superdisintegrants were discussed. Piroxicam nanoparticles ODT were made by using direct compression method. The ODT was evaluated for its drug content, hardness, friability, disintegrating time, wetting time, and dissolution profile. The results showed that ODT formulated using croscarmellose sodium with concentration up to 10% showed better friability, disintegrating time, wetting time, and dissolution profile than ODT formulated with crospovidone.


Yuziani,University of Indonesia | Harahap U.,University of Indonesia | Karsono,University of Technology of Indonesia
International Journal of PharmTech Research | Year: 2014

The study was designed to evaluate the analgesic activities of ethanolic extract of binahong (Anredera cordifolia) leaf using plantar test method. A significant (p<0, 05) analgesic effect was observed with 100 mg/kg, 200 mg/kg and 400 mg/kg. The maximum analgesic response was produced with extract doses of 400 mg/kg. This results suggest that the ethanolic extract of Anredera cordifolia has exhibited significant analgesic effect, which were comparable with standard drugs. © 2014, Sphinx Knowledge House. All rights reserved.


Gunawan D.,University of Technology of Indonesia | Amalia A.,University of Indonesia
Proceedings of 2016 International Conference on Data and Software Engineering, ICoDSE 2016 | Year: 2017

Nowadays, public demands easy access to non-confidential government data, such as public digital information on health, industry, and culture that can be accessed on the Internet. This will lead departments within government to be efficient and more transparent. As the results, rapid development of applications will solve citizens' problems in many sectors. One Data Initiatives is the prove that the Government of Indonesia supports data transparency. This research investigates the implementation of open data in Indonesia based on Tim Berners-Lee five-star rating and open stage model by Kalampokis. The result shows that mostly data in Indonesia is freely available in the Internet, but most of them are not machine-readable and do not support non-proprietary format. The drawback of Indonesia's open data is lack of ability to link the existing data with other data sources. Therefore, Indonesia is still making initial steps with data inventories and beginning to publish key datasets of public interest. © 2016 IEEE.


Fetriyuna,University of Technology of Indonesia
International Journal on Advanced Science, Engineering and Information Technology | Year: 2015

Most soybean varieties are still relying on imports from abroad. Therefore, soybean prices are still fluctuating, Indonesia still depends on the high number of imports due to the lack of white soybean production in this country. It's Necessary to find an alternative of raw materials that are produced domestically. Black soybean is one of the varieties of soybeans that has many advantages, both in terms of health and economic. Since the year of 2009, Padjadjaran University has developed a superior black soybean seed which can adapt with minimal input of agriculture process namely "Darmo". Darmo black soybean varieties were characterized and compared with other types of black soybeans that had previously cultivated. The physical characteristics of Darmo black soybean varieties include sphericity 0,74; volume of seed 80 mm3 seeds / grains; bulk density 0.71 g / ml; particle density of 1.69 g / ml. Chemical characteristics of black soybean of Darmo varieties respectively: moisture 10.87%, protein 35.62%, fat 16%, ash of 5.3% and carbohydrate 32.21%. When compared to the Black Soybean Varieties of Malika, black soybean Darmo varieties has nearly the same nutritional composition so that the potential to be developed into a valuable source of food nutrition and high efficient.


Weng N.,Southern Illinois University Carbondale | Vespa L.,Southern Illinois University Carbondale | Soewito B.,University of Technology of Indonesia
Computer Networks | Year: 2011

An intrusion detection system (IDS) is a promising technique for detecting and thwarting attacks on computer systems and networks. In the context of ever-changing threats, new attacks are constantly created, and new rules for identifying them are dramatically increasing. To adapt to these new rules, IDSs must be easily reconfigurable, they must keep up with line rates of network traffic, and they must have high detection accuracy. In this paper, we propose a high-performance memory-based IDS that can be easily reconfigured for new rules. Our IDS achieves high performance and memory efficiency by utilizing deep packet pre-filtering and novel finite state encoding. We present simulation and experimental results that show the novelty and feasibility of our system. © 2011 Elsevier B.V. All rights reserved.


Gunawan D.,University of Technology of Indonesia
Proceedings of the 2015 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2015 | Year: 2015

Many retailers operate their business through e-commerce. Some of them provide Application Program Interface (API) to their affiliate users in efforts to selling their products. As most affiliate usersare members to several retailersthis will lead into two problems. Firstly, an affiliate user should implement different codes suitable to the requirements of each data provider. Secondly, the response from each data provider is different. As a consequence, affiliate users need to understand data structure of each data provider. Proposed solution to these problems is by utilizing a new protocol called E-Commerce Data Harvesting (ECDH) for the purpose of e-commerce data harvesting. Using the same protocol, affiliate users can utilize the same Uniform Resource Identifier (URI) to each data provider. In addition, we suggest GoodRelations ontology to support the data interoperability. This can address more industrial segments by combining GoodRelations with other ontologies. Combining both, protocol and ontology, we can establish an e-commerce data harvesting to provide smooth data interoperability. © 2015 IEEE.

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