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Proceeding of the Electrical Engineering Computer Science and Informatics
Published by Institute of Advanced Engineering and Science
ISSN : 2407439X     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
Arjuna Subject : -
Articles 649 Documents
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A Third Order based Additional Regularization in Intrinsic Space of the Manifold Rakesh Kumar Yadav; Abhishek Singh; Shekhar Verma; S. Venkatesan; M. Syafrullah; Krisna Adiyarta
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1961

Abstract

Second order graph Laplacian regularization has the limitation that the solution remains biased towards a constant which restricts its extrapolationcapability. The lack of extrapolation results in poor generalization. An additional penalty factor is needed on the function to avoid its over-fitting on seen unlabeled training instances. The third order derivative based technique identifies the sharp variations in the function and accurately penalizes them to avoid overfitting. The resultant function leads to a more accurate and generic model that exploits the twist and curvature variations on the manifold. Extensive experiments on synthetic and real-world data set clearly shows thatthe additional regularization increases accuracy and generic nature of model.
Spatial Coordinate Trial : Converting Non-Spatial Data Dimension for DBSCAN Eka Arriyanti; Ita Arfyanti; Pitrasacha Adytia
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1962

Abstract

In big data, noise in data mining is a necessity. Its existence depends on data and algorithm, but it does not mean the algorithm caused noise. Although the advantages of the Density Based Spatial Clustering Application with Noise, DBSCAN algorithm, in executing spatial data (two-dimensional data) have been widely discussed, but it has not been convincing in executing non-spatial data. As an algorithm should perform well on any data for optimizing data mining, this research proposes a trial to convert dimensions of non-spatial data into 2 dimensions for executing with DBSCAN algorithm, and a different input value for epsilon to know about its minimum which begins arising noise in the execution. Method of analysis in trial is with considering the attributes of non-spatial data as variables that represent coordinate points, rather than cardinality. Technically, it is assumed that 2-dimensional coordinate axes as a spot point for coordinate with more than or equal 3 dimensions according to development of Cartesian coordinate system, by first paying attention to relationship of variables (attributes). This way is then called Spatial Coordinate. The different input values are with paying attention to numbers from non-zero minimum distance to the forth of epsilon where the epsilon is in integer. The results of trial and testing on clusters formed, with Silhouette Coefficient, point out that the clusters are well, strong, and quality enough. Therefore, this research gives a new way on how preprocessing non-spatial data for DBSCAN algorithm performance.
Genetic Algorithm With Random Crossover and Dynamic Mutation on Bin Packing Problem Hairil Fiqri Sulaiman; Bruri Trya Sartana; Utomo Budiyanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1963

Abstract

Bin Packing Problem (BPP) is a problem that aims to minimize the number of container usage by maximizing its contents. BPP can be applied to a case, such as maximizing the printing of a number of stickers on a sheet of paper of a certain size. Genetic Algorithm is one way to overcome BPP problems. Examples of the use of a combination of BPP and Genetic Algorithms are applied to printed paper in Digital Printing companies. Genetic Algorithms adopt evolutionary characteristics, such as selection, crossover and mutation. Repeatedly, Genetic Algorithms produce individuals who represent solutions. However, this algorithm often does not achieve maximum results because it is trapped in a local search and a case of premature convergence. The best results obtained are not comprehensive, so it is necessary to modify the parameters to improve this condition. Random Crossover and Dynamic Mutation were chosen to improve the performance of Genetic Algorithms. With this application, the performance of the Genetic Algorithm in the case of BPP can overcome premature convergence and maximize the allocation of printing and the use of paper. The test results show that an average of 99 stickers can be loaded on A3 + size paper and the best generation is obtained on average in the 21st generation and the remaining space is 3,500mm2.
Civil Servant’s E-Government Adoption Levels: Are age and context matters? Iman Sudirman; Atya Nur Aisha; Joe Monang; Ilham Reza Prasetyo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1964

Abstract

This study examines the differences of e-government adoption by civil servants among age groups and between mandatory and voluntary context using UTAUT model. It used a non-probability sampling technique and an online survey to collect the data. A one-way ANOVA using SPSS was conducted to analyze the data. The study finds that most employees have the highest positive adoption levels in effort expectancy. Furthermore, there are significant mean differences between employee’s age group of performance expectancy for mandatory system and facilitating conditions for voluntary system. However, there is no statistically different on civil servant’s adoption level between mandatory and voluntary context.
Smart Performance Measurement Tool in Measuring The Readiness of Lean Higher Education Institution Okfalisa Okfalisa; Fitri Insani; Rahmad Abdillah; Wresni Anggraini; Toto Saktioto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1965

Abstract

The development of autonomy University drives management innovation to increase the alternative sources of income with the purpose of the efficiency improvement and productivity of the institution. One of a management model that leads to increase productivity through cost reduction is Lean service. The implementation of Lean Higher Education Institution (LHEI) requires total involvement of organization maneuver, including social culture, infrastructure, and leadership support. Therefore, the readiness of the institution in welcoming Lean concepts becomes significant. This article tried to develop a prototype of an intelligent performance measurement tool by analyzing the readiness indicators using the Analytical Hierarchy Process (AHP) method. This tool provided the classification of organizational readiness into five performances level. The measurement performed as a Decision Support System (DSS) to recommend University management level in making a decision and correcting action towards the optimal execution of Lean service. As a case study, this prototype system has been tested with Black Box and User Acceptance Test (UAT) in Indonesia Islamic Higher Education Institution. The finding reveals that the prototype system can be used as a performance measurement tool in measuring the readiness of Lean's service in Islamic Higher Education Institution.
Keystroke-Level Model to Evaluate Chatbot Interface for Reservation System Supriyanto Supriyanto; Adhi Prahara; Tri Susanto Saputro
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1966

Abstract

The tour package reservation system is an important part of improving tourism services. Reservations must be able to meet the information needs of prospective customers and can serve the desired tour package bookings. A reservation system is usually a form that must be filled in sequence by prospective visitors. This paper discusses the evaluation of the application of the chatbot interface on the reservation system with the keystroke-level model. Changing the interaction design that previously did the task fills out the form into a conversation interaction. The aim is to increase the speed of the ordering process through the system. Prospective visitors do not need to fill in the form, they only need to have a conversation with the system while entering the order data. The evaluation results using the keystroke-level model show that the chatbot interface can increase the speed of the process by shortening steps.
Boosting E-Service Quality through IT Service Management of Online Stores Sandy Kosasi; Vedyanto Vedyanto; I Dewa Ayu Eka Yuliani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1967

Abstract

The intention of conducting such the research was to evaluate mediating roles of IT service management on information system success model and IT governance, further boosting E-service quality. A method combining convergent triangulation and an explanatory, follow-up design was implemented. The population engaged middle-up online stores that have marketed products online in five-year time in West Kalimantan. Questionnaires were completed by 99 out of 112 managers. Quantitative analysis was performed through SEMPLS. In-depth interviews and FGDs with 5 key informants, however, yielded data used for qualitative analysis. Results conclusively reveal that information system success model is insignificant for E-service quality despite direct, positive influences gained. In other words, the business success of online stores has no reliance on this type of model. The focus should be on IT governance reinforcing IT service management. The fact is supported by qualitative findings emphasizing that such the governance is eminently influenced by information system success model and it is requisite to actualize IT service management for progressed E-service quality.
The Quality of e-Village Budgeting Service : An Empirical Research in Banyuwangi, Indonesia Beny Prasetyo; Syaiful Bukhari; Dwiky Bagas Regio Perkasa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1968

Abstract

Electronic Village Budgeting (e-VB) is an information system of village budgeting owned by Banyuwangi District. But at the beginning of the implementation of e-VB, there were several errors and constraints experienced by users so that an evaluation is needed to measure the extent of the quality of e-VB services. To measure the quality of e-VB service, this research used 33 attributes from 6 dimensions of e-GovQual; ease of use, trust, functionality of the interaction environment, reliability, content and performance of information, and citizen support. While the Importance Performance Analysis (IPA) method is used to map the services performance based on the level of user importance. Respondents in this research were 44 respondents spread across 22 villages in Kabat and Licin subDistricts.  Based on the results of e-GovQual analysis was known that the quality of service performance is 3.16. This shows that the performance of the e-VB service is good according to the user's perception. However, based on the assessment of user importance of 3.45, it creates a gap value between performance and importance of -0.29, indicating that the quality of e-VB services is good, but has not fulfilled the user’s importance. Based on the results of the IPA quadrant analysis, it produces several attributes that need a special priority for improvement; providing informed consent, accessibility of site, and loading speed. The results of the research are expected to help the provider of e-VB to be able to provide services that are in accordance with the user’s importance.
Speaker and Speech Recognition Using Hierarchy Support Vector Machine and Backpropagation Asti F. Fadlilah; Esmeralda C. Djamal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1969

Abstract

Voice signal processing has been proposed to improve effectiveness and facilitate the public, such as Smart Home. This study aims a smart home simulation model to move doors, TVs, and lights from voice instructions. Sound signals are processed using Mel-frequency Cepstrum Coefficients (MFCC) to perform feature extraction. Then, the voice is recognized by the speaker using a hierarchy Support Vector Machine (SVM). So that unregistered speakers are not processed or are declared not having access rights. For the process of recognizing spoken words such as "Open the Door”,"Close the Door","Turn on the TV","Turn off the TV","Turn on the Lights" and "Turn Offthe Lights" are done using Backpropagation. The results showed that hierarchy SVM provided an accuracy of 71% compared to the single SVM of 45%.
Implementation of Role-Based Access Control on OAuth 2.0 as Authentication and Authorization Zehan Triartono; Ridha Muldina Negara; Sussi Sussi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1970

Abstract

As today’s technology transition from monolithic towards microservices architecture, the authentication and authorization system also becomes a new concern because of the difference between monolithic and microservices pattern. Monolithic mostly uses role-based access control while microservices uses scope with OAuth 2.0. With this in mind, there is a need for a model that can integrate OAuth 2.0 with role-based access control. With rolebased access control implemented on OAuth 2.0, we expect a simpler authorization process and a more secure authentication and authorization system for microservices backend architecture. This paper proposes a model to implement role-based access control on OAuth 2.0 using Laravel framework, we also test the performance of the system following by response time, data transferred and throughput. From the performance test, this approach has a good performance and can handle certain requests with simulated users even with limited resources.

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