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Proceeding of the Electrical Engineering Computer Science and Informatics
ISSN : 2407439X     EISSN : -     DOI : -
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.
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Articles 649 Documents
Implementation of Unbiased Stereology Method for Organ Volume Estimation using Image Processing Mohammad Ammar Faiq; Balza Achmad; Ginus Partadiredja
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4190.213 KB) | DOI: 10.11591/eecsi.v4.1000

Abstract

Stereology had been widely used around the globe for estimating the value of the biological structure. It interlinks the connection between the dimensions using a sample that is 2D for a quantification in 3D structure. Volume estimation using stereology method is the most common and basic quantification that shows an example of how stereology works. Stereology method has a drawback when it comes to a lot of samples, so it is common for a researcher to use the computer to help to quantify and to do repetitive work, which is known as computer-assisted stereology quantification. The purpose of this research is to develop software that can assist researchers using stereology method for estimating the volume of a sample object from its 2D digital images with point counting method. The software was built based on the manual procedure of volume estimation using stereology method performed by experienced researchers. The volume estimation using the software were then compared with the results of the manual procedure by the experts on the same samples, i.e., the kidney and trigeminal ganglion of a rat. The experimental results showed that the relative difference of the volume estimations between manual and computer assisted calculations were 0.93% for rat kidney sample and 10.81%. TA1 trigeminal ganglion sample. Based on the results, the software estimation can be used for further analysis.
Ethnobotany Database: Exploring Diversity Medicinal Plants of Dayak Tribe Borneo Haeruddin Haeruddin; Ummul Hairah; Edy Budiman; Herni Johan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (786.074 KB) | DOI: 10.11591/eecsi.v4.1001

Abstract

This study aimed to collect data and information of the Ethnobotany Dayak Tribe, in particular, development of the database which can be used as a media explorer for exchange information society on Borneo's biodiversity and in an attempt preserving of culture local wisdom in traditional medicine so that not extinction. Ethnobotany database collected from various scientific literature, results of report ethnobotany from Related institutions, field study, journals available in the text form, and local wisdom culture of the Dayak tribe. database system development methodology using to the software engineering framework model, with representation standard data model for taxonomic information refer to International Code of Nomenclature for algae, fungi, and plants (Melbourne Code). To date, data has been collected as many as 233 species records from45 ethnic Dayak, with datasets; plant species, family name, identification, taxonomy ID from NCBI, geographical occurrence,plant parts used, ethnobotany importance, morphological characteristics, local name, the efficacy of medicinal plants, chemical values, distribution, locations, data sources, references, and descriptions related to the medicinal plants.
Automated Post-Trabeculectomy Bleb Assesment by Using Image Processing Agwin Fahmi Fahanani; Hasballah Zakaria; Andika Prahasta; Elsa Gustianty; R. Maula Rifada; Astrid Chairini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.332 KB) | DOI: 10.11591/eecsi.v4.1002

Abstract

Glaucoma is a second leading cause of blindness after cataract. Glaucoma caused by unbalance absorption of aqueus humour so it increase intraocular pressure. As a result, it surpresses nerve cells so that nerve cells can not get enough blood flow as nutrition intake and can lead to permanent blindness. One of the treatment for glaucoma is by surgical procedure, called trabeculectomy. After the surgery a slightly lifted tissue due to passing fluid, called bleb, should appears. Bleb assesment is necessary to examine the successful of trabeculectomy surgery. One of standard assesment is Indiana Bleb Appearance Grading Scale (IBAGS). Ophthalmologist used this standard to grade the bleb images manually so the result is subjective. This work offered a new approach to standardize the system of bleb assessment by computer software. Features related to bleb height, width and vascularity were extracted from the bleb image by using image processing algorithm. The KNN algorithm then used to classify the image according the IBAGS. The proposed method has successfully increased the Cohen’s kappa coefficient from 0.56 to 0.63. Therefore, it potentially reduced the subjectivity of the bleb grading.
Non-invasive Hemoglobin Measurement for Anemia Diagnosis Raditya Artha Rochmanto; Hasballah Zakaria; Ratih Devi Alviana; Nurhalim Shahib
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1219.779 KB) | DOI: 10.11591/eecsi.v4.1003

Abstract

Hemoglobin is important part of red blood cell to transport oxygen and carbon dioxide. Hemoglobin concentration in the blood can be used as physical condition parameter. A low hemoglobin level is called anemia and high hemoglobin level is called polycythemia. WHO has determined the anemia cut off level of hemoglobin concentration based on age, sex, and condition (pregnant or not). Currently, accurate and reliable hemoglobin concentration measurement uses invasive methods such as cyanmethemoglobin  and  automated  hematology  analyzer.  But these methods are expensive, not real time, high infection risk, and need special techniques. Non-invasive methods offer a better alternative because it has low infection risk, instant result, and portable in size. This work developed a non-invasive hemoglobin measurement for anemia diagnosis based on optical spectroscopy. The system utilized LED and photodiode as optical sensor placed on the fingertip. Photodiode just could obtain DC component, so the signal conditioning circuit which consisted of HPF, LPF and amplifier was used to obtain the AC component of the signal.  This system used microcontroller to control the operation of the hardware and to calculate the hemoglobin concentration.Hemoglobin is important part of red blood cell to transport oxygen and carbon dioxide. Hemoglobin concentration in the blood can be used as physical condition parameter. A low hemoglobin level is called anemia and high hemoglobin level is called polycythemia. WHO has determined the anemia cut off level of hemoglobin concentration based on age, sex, and condition (pregnant or not). Currently, accurate and reliable hemoglobin concentration measurement uses invasive methods such as cyanmethemoglobin and  automated  hematology analyzer. But these methods are expensive, not real time, high infection risk, and need special techniques. Non-invasive methods offer a better alternative because it has low infection risk, instant result, and portable in size. This work developed a non-invasive hemoglobin measurement for anemia diagnosis based on optical spectroscopy. The system utilized LED and photodiode as optical sensor placed on the fingertip. Photodiode just could obtain DC component, so the signal conditioning circuit which consisted of HPF, LPF and amplifier was used to obtain the AC component of the signal. This system used microcontroller to control the operation of the hardware and to calculate the hemoglobin concentration.
Poincaré Plot of Fingertip Photoplethysmogram Pulse Amplitude Suitable to Assess Diabetes Status Bagus Haryadi; Gen-Min Lin; Chieh-Ming Yang; Shiao-Chiang Chu; Hsien-Tsai Wu
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.951 KB) | DOI: 10.11591/eecsi.v4.1004

Abstract

Multiscale entropy (MSE), an estimate of the complexity of physiological signals has been used for assessing diabetes status. This method requires much computation effort. Our study aimed to examine the Poincaré plot, an easier method for computation to differentiate the diabetes status. We selected subjects and divided them into three groups including the non- diabetes (HbA1c ≤ 6.5%, n=22), diabetes with good control (6.5% < HbA1c < 8%, n=23), and diabetes with poor control (HbA1c ≥ 8%, n=17). Poincaré method used consecutive 250 data points of PPG pulse amplitudes from each subject’s right index fingertip. This method resulted in SSR, the standard deviation of the original photoplethysmogram (PPG) pulse amplitude (SD1) and the standard deviation of the interval 1 PPG pulse amplitude (SD2) ratio. The SSR in the three groups of non-diabetes, diabetes with good control and diabetes with poor control were 0.50, 0.28, and 0.23, respectively and differed between groups (P < 0.05).  Our findings suggested that the Poincaré plot of right-hand PPG pulse amplitude may be convenient to evaluate diabetes status.
Alerting System for Sport Activity Based on ECG Signals using Proportional Integral Derivative Vika Octaviani; Arief Kurniawan; Yoyon Kusnendar Suprapto; Ahmad Zaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.555 KB) | DOI: 10.11591/eecsi.v4.1005

Abstract

Exercise makes the body fit, but most people do not know the intensity of the exercise they are doing right or otherwise can be dangerous, because not everyone knows the maximum heart rate (MHR), Heart Rate Resting (HRRest), heart rate reserve (HRR) and Target Heart Rate (THR) for each individual, it is proposed an ECG signal-based warning system to find out how much a person's maximum limit in exercise based on age, gender, body mass index, MHR, RHR, THRmin and THRmax. The data is taken by using ECG sensors from the subjects who are doing sport activities using a treadmill by noting the resulted feature when the subject reaches the maximum limit of the heart rate (THRmax) target. Range is calculated from 50% of the THR value, which increases periodically during treadmill activities up to 85% of THR. When already exceed THRmax, then the system will automatically warn and decrease the level of exercise to medium to low levels in the cooling down level. For the % hardware errors in a row from 1 minute, 3 minutes, 5 minutes, and 10 minutes obtained % error with 0.77±0.14. The RMSE of the hardware and software test showed high accuracy because of the small value of error. The system succeeds to alert any intensity level of sport based on the Proportional integral derivative according to the bpm value generated by the subject during the treadmill exercise. 
Certain Factor Analysis for Extra Pulmonary Tuberculosis Diagnosis Ramadiani Ramadiani; Nur Aini; Heliza Rahmania Hatta; Fahrul Agus; Zainal Ariffin; Azainil Azainil
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.423 KB) | DOI: 10.11591/eecsi.v4.1006

Abstract

Tuberculosis is an infectious disease that is easily transmitted through the air. Tuberculosis mostly attacks the lungs, but this disease can also attack other organs called extra- pulmonary. The Extra pulmonary tuberculosis can endanger the safety of community and slow in initial diagnosis because of the lack of knowledge. The purpose of this research is to build expert system of the extra pulmonary tuberculosis disease diagnosis. The system can facilitate the user in making the initial diagnosis of the disease, so patients can get the right handling. The system uses forward chaining inference and a Web-based Certainty Factor method with an accuracy rate of 85% has been utilized to assist health and community.
Unified Concept-based Multimedia Information Retrieval Technique Ridwan Andi Kambau; Zainal Arifin Hasibuan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1658.724 KB) | DOI: 10.11591/eecsi.v4.1007

Abstract

The explosion of digital data in the last two decades followed by the development of various types of data, including text, images, audio and video known as multimedia data. Multimedia Information Retrieval is required to search various type of media. There is comprehensive information need that can not be handled by the monolithic search engine like Google, Google Image, Youtube, or FindSounds. The shortcoming of search engine today related to their format or media is the dominance of text format, while the expected information could be an image, audio or video. Hence it is necessary to present multimedia format at the same time. This paper tries to design Unified Concept-based Multimedia Information Retrieval (UCpBMIR) technique to tackle those difficulties by using unified multimedia indexing. The indexing technique transforms the various of media with their features into text representation with the concept-based algorithm and put it into the concept detector. Learning model configures the concept detector to classify the multimedia object. The result of the concept detector process is placed in unified multimedia index database and waiting for the concept-based query to be matched into the Semantic Similarities with ontology. The ontology will provide the relationship between object representation of multimedia data. Due to indexing text, image, audio, and video respectively that naturally, they are heterogeneous, but conceptually they may have the relationship among them. From the preliminary result that multimedia document retrieved can be obtained through single query any format in order to retrieve all kind of multimedia format. Unified multimedia indexing technique with ontology will unify each format of multimedia
The Improvement of Phonocardiograph Signal (PCG) Representation Through the Electronic Stethoscope Sumarna Sumarna; Juli Astono; Agus Purwanto; Dyah Kurniawati Agustika
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.746 KB) | DOI: 10.11591/eecsi.v4.1008

Abstract

A conventional stethoscope (an acoustic stethoscope) is an acoustic medical device that is always used for preliminary examination of patients with any heart abnormalities. The main disadvantage of acoustic stethoscope is its dependence on how to use it and the experience of the examining physician. This paper presents a simple electronic stethoscope design in Phonocardiograph system that is free from subjectivity of doctors or other medical personnel. This electronic stethoscope is made sensitive in order to capture as many acoustic signal as possible from the activities of the human body, especially the heart and lungs. The design of this electronic stethoscope consists of chest piece, a pipe with proper acoustic impedance, mic condenser, mic preamp, and battery. The output of the mic preamp is connected to the mic channel on the laptop. The recording signal then processed separately. The repeatability of output signal was investigated in this paper. The signal was analyzed by using the Fast Fourier Transform (FFT). The result showed that the frequency responsea of the output signals are consistent, hence the instrument is reliable. Furthermore, the frequency response of the system with filter that connecting chest piece and mic condensor were also investigated.
Task-Technology Fit for Textile Cyberpreneur’s Intention to Adopt Cloud-based M-Retail Application Nik Zulkarnaen Khidzir; Wan Safra Diyana; Tan Tse Guan; Mohammad Ismail
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.339 KB) | DOI: 10.11591/eecsi.v4.1009

Abstract

Task-Technology  Fit  (TTF)  model  has been widely used in many researches for understanding the compatibility of task characteristics and technology characteristics. Applying TTF in mobile retail (m-retail) context from the perspectives of retailers might give the insights of their intention to adopt mobile cloud application technology for online business operations. Since it is currently common for retailers such as textile cyberpreneurs to conduct m-retail via the uses of certain mobile applications and devices, it is essential to investigate the usage intention based on task-related factors. Therefore, the objective of this study is to examine the compatibility of textile cyberpreneurs’ tasks and characteristics of cloud-based m-retail application (CBMA) along with their usage intention to adopt the technology for their online business transactions. This research model surveyed 348 Malaysian textile cyberpreneurs. The results show that both task characteristics and technology characteristics have positive significant effects on task-technology fit. Further analysis also suggests the fitness between task and technology has positively influenced textile cyberpreneurs’ intention to adopt cloud-based m-retail application. The findings contributed in acknowledging the usage intention among textile cyberpreneurs based on task-related factors which might be useful for service providers in delivering the right services for end-users. The directions for future research are also discussed.

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