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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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Optical Studies of Er-doped Yttrium Aluminium Garnet Phosphor Materials N. Norhashim; S. Kaveh; A. K. Cheetham; R. J. Curry
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.v6.1941

Abstract

The need for materials application in solid-state lasers, medical devices, and optoelectronic devices has made the investigation of ceramic materials of increasing importance. A detail study of the optical properties of rare earth element typically from luminescent materials when intentionally doped inside the host materials and in particular crystal (such as YAG) is reported for the photoluminescence, power and lifetime measurement. The rare-earth dopants usually form trivalent lanthanide ions and the energy transfer and optical transitions involved originate from 4f-4f transitions of the ions and between these states and the host material. In order to understand the energy transfer processes in more detail we need to better understand the accompanying optical processes that give rise to the emission they display and it is this that forms the focus of the work presented. Following this second (and higher) order processes are considered that lead to upconversion in erbium-doped yttrium aluminum garnet (Er:YAG) materials.
Flatbuffers Implementation on MQTT Publish/Subscribe Communication as Data Delivery Format Muhammad Adna Pradana; Andrian Rakhmatsyah; Aulia Arif Wardana
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.v6.1942

Abstract

Communication between devices can be done in various ways, one of them is the Publish / Subscribe model that uses the MQTT protocol From the shortcomings that exist in JSON, such as long processing time, Google recently introduced a new data format called Flatbuffers. Flatbuffers has a better data format serialization process than other data formats. This paper will discuss the implementation and testing of the Flatbuffers data format performance compared to other data formats through the MQTT Publish / Subscribe communication model. Testing is done by measuring the value of payload, latency, and throughput obtained from each data format. The test results show that the Flatbuffers data format is very well used as a data extraction format based on data processing latency of 0.5002 ms and throughput 518.4649 bytes/ms with payload 0.996108949 character/byte.
Classification of Physiological Signals for Emotion Recognition using IoT Sadhana Tiwari; Sonali Agarwal; Muhammad 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.v6.1943

Abstract

Emotion recognition gains huge popularity now a days. Physiological signals provides an appropriate way to detect human emotion with the help of IoT. In this paper, a novel system is proposed which is capable of determining the emotional status using physiological parameters, including design specification and software implementation of the system. This system may have a vivid use in medicine (especially for emotionally challenged people), smart home etc. Various Physiological parameters to be measured includes, heart rate (HR), galvanic skin response (GSR), skin temperature etc. To construct the proposed system the measured physiological parameters were feed to the neural networks which further classify the data in various emotional states, mainly in anger, happy, sad, joy. This work recognized the correlation between human emotions and change in physiological parameters with respect to their emotion.
Diagnosis of Smear-Negative Pulmonary Tuberculosis using Ensemble Method: A Preliminary Research Rusdah Rusdah; Mohammad Syafrullah
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.v6.1944

Abstract

Indonesia is one of 22 countries with the highest burden of Tuberculosis in the world. According to WHO’s 2015 report, Indonesia was estimated to have one million new tuberculosis (TB) cases per year. Unfortunately, only one-third of new TB cases are detected. Diagnosis of TB is difficult, especially in the case of smear-negative pulmonary tuberculosis (SNPT). The SNPT is diagnosed by TB trained doctors based on physical and laboratory examinations. This study is preliminary research that aims to determine the ensemble method with the highest level of accuracy in the diagnosis model of SNPT. This model is expected to be a reference in the development of the diagnosis of new pulmonary tuberculosis cases using input in the form of symptoms and physical examination in accordance with the guidelines for tuberculosis management in Indonesia. The proposed SNPT diagnosis model can be used as a cost-effective tool in conditions of limited resources. Data were obtained from medical records of tuberculosis patients from the Jakarta Respiratory Center. The results show that the Random Forest has the best accuracy, which is 90.59%, then Adaboost of 90.54% and Bagging of 86.91%.
Performance Evaluation of Superstate HMM with Median Filter For Appliance Energy Disaggregation Erwin Nashrullah; Abdul Halim
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.v6.1945

Abstract

Information on electricity consumption is one of the essential elements in terms of regulating the distribution of electricity in smart micro grid. Besides, information on electricity consumption can help consumers carry out an evaluation process to reduce electricity bill costs, which indirectly affect overall energy efficiency. One method in the process of monitoring electricity consumption is Non-Intrusive Load Monitoring (NILM). The main problem in NILM is to determine the energy disaggregation consumed by several equipment by merely performing the retrieval of data from only one measuring point. We used the Superstate Hidden Markov Model as the tool for modelling and analysis. A median data filter to the input data is applied to improve the performance of the disaggregation process. Based on the results of tests conducted using the REDD, the lowest accuracy was 96.69% for all tests performed.
Modified Backward Chaining Android Application to Diagnose Psychoneurosis and Psychosomatic Disorder Wibby Aldryani Astuti Praditasari; Eva Novianti; Ikhwannul Kholis; Rian Andriyusadi
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.v6.1946

Abstract

Stress, depression, mental illness are serious problems but the most often overlooked problems. Ironically, the number of mental problems is greater than health services. The purpose of this study is to develop a system consisting of Admin Webpage and Android Application which analyze mental illness with artificial intelligence that can diagnose and carry out therapy for people with mental disorders which has the types of psychoneurosis and psychosomatic disorders. This research used the methodology of Modified Backward Chaining which works backward towards the initial condition of the patient. Moreover, the system used the Expert System as reference data from the expert, in this case, psychologist. Results could be diagnosed via smartphone by a doctor or expert so they could provide faster and easier treatment in accordance with the application of this Psychological PPD (Psychoneurosis and Psychosomatic Disorders). Finally, the application was successfully implemented to give diagnoses and treatments. The system's ability to deal with mental illness was carried out at Raden Mataher General Hospital, Jambi, Indonesia. This study consisted of 21 respondents consisting of 13 men and 8 women. The result showed that the application was tested Usability Testing which had score 4.22 of 5.
DNSBL for Internet Content Filtering Utilizing pfSense as The Next Generation of Opensource Firewall Alby A Mugni; Muhammad Herdiansah; Muhammad Andhika; Muhammad Ridwan
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.v6.1947

Abstract

The internet at this time has become an important part of everyday life. From an early age, children already introduced to a digital environment and used to use internet connected devices for various activities such as learning, entertainment, have a chat with family and friends. Apart from convenience and benefits, the Internet also poses a threat to children and adolescents, from inappropriate content such as pornography, violence, narcotics culture, exposure to online pedophiles or dangerous behavior that can make children unsafe. The role of parents in monitoring the online activities of children and adolescents becomes very important. The market offers a variety of control systems for parents who can block or filter content, manage usage, monitor activities, set boundary lines, and quota. This research was conducted to collect basic information about several sites that are often accessed by children with the aim of implementing an internet content screening program utilizing DNSBL and pfSense to increase parental awareness of various technologies that can be used to protect children from the dangers of cyberspace, providing various information for parents of tools that can protect children, and as a form of socialization about the importance of children internet usage monitoring by parents. The study was conducted in the city of Sukabumi by using 30 respondents who were parents of children aged 3-11 years. The most accessible site for children in the city of Sukabumi is Youtube. Therefore, preventive measures are needed to reduce the negative impact caused by filtering content.
Design-of-Experiment Based Systematic Tuning of Square Open Loop Resonator Teguh Prakoso; Imam Santoso; Munawar Riyadi
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.v6.1948

Abstract

Stub-loaded, square open loop resonator (SOLR) is a type of bandpass filter with dual-band response. It is believed that its center frequency values are determined by entire length of open loop resonator’s and open stub's lengths, the bandwidth values are determined by coupling between two resonators. However, design of experiments (DOE) method applied in this paper shows that the center frequency values are also affected by interaction between resonator length, stub length, and distance between the two resonators in pair. The DOE also shows that bandwidth values, both upper and lower bands, are not only affected by the distance between resonators but also by the resonator’s and stub’s lengths. Utilizing slope values of the significant factors, systematic tuning to SOLR can be done. With few steps, small error on frequency responses can be obtained.
Interference Management in Heterogeneous Network With Particle Swarm Optimization Rummi Sirait; Nifty Fath
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.v6.1949

Abstract

In heterogeneous network, femtocell is deployedinside macrocell coverage. Femtocell and macrocell use thesame  frequency as the resource. Thus, if the resources are notproperly allocated, the interference will arise. The higher levelof interference results in decreasing signal quality. Therefore,interference management is needed to increase networkcapacity and system performance. This research implementsparticle swarm optimization (PSO) algorithm to minimizeinterference on the heterogeneous network. Based on thesimulation results, it is shown that PSO algorithm worksefficiently to increase the throughput value of femto userequipment (femto UE) up to 62,2 Mbps by minimizing theinterference.
Intelligent System for Recommending Study Level in English Language Course using CBR Method Mirza Sutrisno; 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.v6.1950

Abstract

In the admission process, an English Course uses a level placement test. The implementation of the test encountered some problems such as slow determination of student learning levels based on the results of paper based test that are still conventional. The purpose of this research provides the recommendations for an intelligent knowledgebased system in recommending student learning levels using the Case-Based Reasoning (CBR) method. CBR is one of the method that uses the Artificial Intelligence approach and focuses on solving problems based on knowledge from the previous cases, by calculating numerical local similarity and global similarity using the nearest neighbor algorithm as the basic for the technical development of this intelligent system. The result of the study was tested for the data accuracy with the confusion matrix method by the result 100% for the accuracy. For evaluating the system systematically was using the User Acceptance Test (UAT) method with the results of the evaluation is 88% of the system meets user needs and expectations

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