Jaka Sembiring
School of Electrical Engineering and Informatics Institut Teknologi Bandung

Published : 6 Documents
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Residential load event detection in NILM using robust cepstrum smoothing based method Iksan, Nur; Sembiring, Jaka; Hariyanto, Nanang; Supangkat, Suhono Harso
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.375 KB) | DOI: 10.11591/ijece.v9i2.pp742-752

Abstract

Event detection has an important role in detecting the switching of the state of the appliance in the residential environment. This paper proposed a robust smoothing method for cepstrum estimation using double smoothing i.e. the cepstrum smoothing and local linear regression method. The main problem is to reduce the variance of the home appliance peak signal. In the first step, the cepstrum smoothing method removed the unnecessary quefrency by applying a rectangular window to the cepstrum of the current signal. In the next step, the local regression smoothing weighted data points to be smoothed using robust least squares regression. The result of this research shows the variance of the peak signal is decreased and has a good performance with better accuracy. In noise enviromment, performance prediction quite good with values greater than 0.6 and relatively stable at values above 0.9 on SNR> 25 for single appliances. Furthermore, in multiple appliances, performance prediction quite good at SNR> 20 and begins to decrease in SNR <20 and SNR> 25.
Information Interchange Layer based on Classification of Information Use (IU) Albarda, Albarda; Supangkat, Suhono Harso; Kuspriyanto, Kuspriyanto; Sembiring, Jaka
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Information characteristics in classification of IU directly related to aspects of information usage by user in enterprise to accomplish their activities. Feature extraction from information usage in three layer of enterprise management used as parameter for this characteristic. Characteristics and dimension applied to develop middle-ware system (called Information Interchange Layer) that bridges a common issue ie information silo, to optimize a services of information resources in enterprise
AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE Sumari, Arwin Datumaya Wahyudi; Ahmad, Adang Suwandi; Wuryandari, Aciek Ida; Sembiring, Jaka; Widjajati, Farida Agustini
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 2, Juli 2010
Publisher : Teknik Informatika, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v8i2.a313

Abstract

The essential matter of Artificial Intelligence (AI) is how to build an entity that mimics human intelligence in the way of learning of a phenomenon in a real life to gain knowledge of it and uses the knowledge to solve problems related to it. Based on the findings of intelligenct characteristic displayed by the human brain in growing and generating new knowledge by fusing information perceived by sensory organs, we develop brain-inspired Knowledge-Growing System (KGS) that is, a system that is capable of growing its knowledge along with the accretion of information as the time passes. The essential matter of KGS is knowledge-growing method which is based on a new algorithm called Observation Multi-time A3S (OMA3S) information-inferencing fusion method. In this paper we deliver the development of KGS along with some examples of KGS application to a real-life problem. Based on the state-of-the-art of AI and approaches to construct OMA3S method as KG method as well as validations to assess the system performance, we state that brain-inspired KGS is a novel field in AI.
Data and Metadata Exchange Design with SDMX Format using Web Service for Interoperability Statistical Data Sembiring, Jaka; Uluwiyah, Ana
TELKOMNIKA Indonesian Journal of Electrical Engineering Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/telkomnika.v14i2.7505

Abstract

Today’s concept of Open Government Data (OGD) for openness, transparency and ease of access of data owned by government agencies becomes increasingly important. This initiative emerges from the demand of data users for the data belongs to the government agencies. The data services providing an easy access, cheap, fast, and interoperability are needed by the users and becomes important indicator performance for respective government agencies. Statistical Data and Metadata Exchange (SDMX) is a new standard format in the data dissemination activities particularly in the exchange of statistical data and metadata via Internet. In this respect SDMX support the implementation of OGD project. This paper is on the technical design, development and implementation of data and metadata exchange service of statistical data using SDMX format to support interoperability data through web services. Three results are proposed: (i) framework for standardization of structure of statistical publications data model with SDMX; (ii) design architecture of data sharing model; and (iii) web service implementation of data and metadata exchange service using Service Oriented Analysis and Design (SOAD) method. Implementation at Statistics Indonesia (BPS) is chosen as a case study to prove the design concept. It is shown through quantitative assessment and black box testing that the design achieves its objective.
Business Value of Information Technology Service Quality Based on Probabilistic Business-Driven Model Sembiring, Jaka
Journal of ICT Research and Applications Vol 9, No 1 (2015)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.345 KB) | DOI: 10.5614/itbj.ict.res.appl.2015.9.1.3

Abstract

The business value of information technology (IT) services is often difficult to assess, especially from the point of view of a non-IT manager. This condition could severely impact organizational IT strategic decisions. Various approaches have been proposed to quantify the business value, but some are trapped in technical complexity while others misguide managers into directly and subjectively judging some technical entities outside their domain of expertise. This paper describes a method on how to properly capture both perspectives based on a  probabilistic business-driven model. The proposed model presents a procedure to calculate the business value of IT services. The model also covers IT security services and their business value as an important aspect of IT services that is not covered in previously published researches. The impact of changes in the quality of IT services on business value will also be discussed. A simulation and a case illustration are provided to show the possible application of the proposed model for a simple business process in an enterprise.
Risk assessment of information production using extended risk matrix approach Sembiring, Jaka; Wiharni, Fitasari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (945.642 KB) | DOI: 10.12928/telkomnika.v17i3.10050

Abstract

In many cases poor information quality appears mainly due to in-effectiveness of information management including information production and delivery. Where this situation poses a certain risk. A holistic information risk management model has been previously proposed. But the model has some limitations especially on risk calculation and risk priority ranking as the model does not consider existing control effectiveness. In this paper, a new risk assessment method is proposed in order to improve the model of total impact of risks and to improve the accuracy of risk priority ranking by modifying the extended risk matrix approach (RMA) where we take into account the existing control effectiveness. Using our approach by adding a new dimension on extended RMA. We are able to improve the accuracy (7.15%) and reduced the ambiguity (1.34) of assessment results on real cases illustration.