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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
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Watch winder based on the internet of things Leonardo Kamajaya; Fitri Fitri; Mocharief Azzmi Santoso
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp721-729

Abstract

Watches are wearable devices that support human activities as timepieces. There are two types of watches based on their source driving energy: the quartz type, which uses a battery, and the automatic mechanical type, which uses a mechanical mechanism to convert the kinetic energy obtained when the clock is used as the energy to drive the hands. Automatic mechanical type watches have a time limit of 48 hours or two days until the energy turns off and the time stop. Therefore, a watch winder is needed to make movements to keep the automatic watch running while not in use. So, users can use their watch again without the need to adjust the time, date and other functions. The watch winder produced in this study employs a stepper motor that is controlled by an ESP32 microcontroller via a ULN2003 motor driver integrated circuit (IC). This type of stepper motor is used because it has a high rotor rotation precision to prevent the clock from over-winding problems. This watch winder device also has a watch condition monitoring feature through application-based temperature and humidity parameters. Users can monitor the condition of their watch and control the dial of the watch winder’s modules through the integrated application.
Measuring geospatial information system success on individual performance impact Edie Kurniawan; Viany Utami Tjhin
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1128-1139

Abstract

This research will analyze the influence of the quality of sales IndiHome information system (SIIS) on individual performance. In this research, the SIIS dashboard quality aims to accommodate them using a model that meets the updated Delone and McLean model. Individual productivity is measured through the Net Individual Benefit variable. It measures the impacts obtained after using the SIIS dashboard on work success. Indihome is Telkom Indonesia broadband retail brand. In this business, the service must be installed for each house. The challenges are to provide the best service to customers, manage the chain of resources in a series of infrastructures for providing broadband services, and maintain business performance to be sustainable. Telkom Indonesia has developed a geospatial-based Sales Information System by utilizing geospatial and spatial analytics, so the data can be viewed comprehensively in one map. The interpretation of the SIIS dashboard shows that the success rate is at a high level for the six variables (system quality, user quality, information quality, information use, user satisfaction, and net individual benefit). There is also a significant effect in increasing the work productivity of SIIS dashboard users as indicated by the correlation measure between SIIS dashboard success and net individual benefits.
Smart system for controlling and monitoring electronic facilities in budget hotel rooms Daniel Patricko Hutabarat; Robby Saleh; Lukas Sebastian; Jonathan Jonathan; Senanayake Mudiyanselage Namal Arosha
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp770-777

Abstract

The fundamental attribute of a budget hotel is the provision of essential services at a low cost due to reduced services and facilities. Several services at budget hotels that affect customer choice are related to limitation of accommodation and entertainment services which include the use of television, air conditioning, and other electrical devices. The purpose of this research is to develop a smart system that is used to control and monitor electronic facilities in budget hotel rooms. This system provides budget hotels with the ability to select the electronic facilities that guests want to use in their rooms according to their needs and budget. This system also provides a feature to monitor the use of electronic devices in each room via a web application. The system was developed by using microcontrollers, sensors, radio frequency identification (RFID) devices, a database server, and a web application. The developed system can perfectly provide the room electronic facilities requested by the guest. The system can also monitor the service hour and power consumed by the devices with an accuracy of 99.1% for the service hour and 99.4% for the power consumed.
Jahai language repository: a mobile application Nurazzah Abd Rahman; Masurah Mohamad; Itaza Afiani Mohtar; Saidi Adnan Md Nor
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1214-1223

Abstract

The Jahai language is facing extinction primarily because it is among the least spoken language among minority groups in Malaysia. This is due to lesser speakers and the shift to using a more dominant language. The Jahai tribe is one of the community groups living in the Royal Belum Perak State Park. People who need assistance from Jahai people often face difficulties in communicating with them due to the language barrier. Therefore, a mobile translation system was developed to preserve the language. The system translates the Jahai terms into Malay language. This way, by using the system, other ethnics in Malaysia can understand the language especially when communicating with Jahai people. Three main steps are required in the translation process; first, key in the text input via special character keypad. Then, the system will search the matching word in the database. Finally, the meaning of the word will be displayed. The testing results have indicated this system is functional and accepted with the SUS score of 94/100. Several future recommendations could be made such as including voice search function and adding more Jahai terms in other categories so as to improve the functionality and usability of this proposed system.
A hybrid approach to enhanced genetic algorithm for route optimization problems Mrinmoyee Chattoraj; Udaya Rani Vinayakamurthy
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1099-1105

Abstract

Shortest path problem has emerged to be one of the significant areas of research and there are various algorithms involved in it. One of the successful optimization techniques is genetic algorithm (GA). This paper proposes an efficient hybrid genetic algorithm where initially we use a map reduction technique to the graph and then find the shortest path using the conventional genetic algorithm with an improved crossover operator. On comparing this hybrid algorithm with other algorithms, it has been detected that the performance of the modified genetic algorithm is better as comparison to the other methods in terms of various metrics used for the evaluation.
Bayesian deep learning methods applied to diabetic retinopathy disease: a review Halbast Rashid Ismail; Masoud Muhammed Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1167-1177

Abstract

Diabetic retinopathy (DR) is a complication of diabetes that cause retinal damage; therefore, it is a leading cause of blindness. However, early detection of this disease can dramatically reduce the risk of vision loss. The main problem of early DR detection is that the manual diagnosis by ophthalmology is time-consuming, expensive, and prone to misdiagnosis. Deep learning (DL) models have aided in the early diagnosis of DR, and DL is now frequently utilized in DR detection and classification. The main issues with classical DL models is that they are incapable to quantify the uncertainty in the models, thus they are prone to make wrong decisions in complex cases. However, Bayesian deep learning (BDL) models have recently evolved as unified probabilistic framework to integrate DL and Bayesian models to provides an accurate framework to identify all sources of uncertainty in the model. This paper introduces BDL and most recent research that used BDL approaches to treat diabetic retinopathy are reviewed and discussed. A thorough comparison of the existing Bayesian approaches in this topic is also presented. In addition, available datasets for the fundus retina, which is often employed in DR, are provided and reviewed.
Information extraction model from Ge’ez texts Seffi Gebeyehu; Worke Wolde; Zelalem S. Shibeshi
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp787-795

Abstract

Nowadays, voluminous and unstructured textual data is found on the Internet that could provide varied valuable information for different institutions such as health care, business-related, training, religion, culture, and history, among others. A such alarming growth of unstructured data fosters the need for various methods and techniques to extract valuable information from unstructured data. However, exploring helpful information to satisfy the needs of the stakeholders becomes a problem due to information overload via the internet. This paper, therefore, presents an effective model for extracting named entities from Ge'ez text using deep learning algorithms. A data set with a total of 5,270 sentences were used for training and testing purposes. Two experimental setups, i.e., long short-term memory (LSTM) and bidirectional long short-term memory (Bi-LSTM) were used to make an empirical evaluation with training and a testing split ratio of 80% to 20%, respectively. Experimental results showed that the proposed model could be a practical solution for building information extraction (IE) systems using Bi-LSTM, reaching a training, validation, and testing accuracy as high as 98.59%, 97.96%, and 96.21%, respectively. The performance evaluation results reflect a promising performance of the model compared with resource-rich languages such as English.Bi-LSTM;Deep learning;Entity extraction;Ge’ez text;Information extraction
Electromagnetic force distribution computations due to switching surge in disc-type winding Nurul Farahwahida Md Yasid; Norhafiz Azis; Mohd Fairouz Mohd Yousof; Jasronita Jasni; Mohd Aizam Talib; Avinash Srikanta Murthy
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp659-669

Abstract

This manuscript discusses the computation of electromagnetic forces on a disc-type winding due to a standard switching impulse (SSI). First, the resistances, inductances and capacitances (RLC) of a 30 MVA, 33/11 kV disc-type distribution transformer were estimated to obtain the winding equivalent circuit. The transient voltage waveforms for each of the disc layers and corresponding resonances of the windings under the SSI were then obtained in time domains. Next, the axial and radial force distributions in the disc winding due to the SSI were computed. The forces on each disc layer and along the disc windings due to the SSI were computed based on the analytical and numerical methods via the finite element method (FEM) respectively. The non-uniform switching impulse voltage distribution results in non-uniform force distribution along the disc winding. The magnitude of the axially directed force on the disc winding is found to be higher as compared to the radially directed force.
Google trends and online media data for supply and demand information in waste management evaluation in Jakarta Robert Kurniawan; Agung Purwanto; Anugerah Karta Monika; Krismanti Tri Wahyuni; Muhammad Yunus Hendrawan; Mohamad Andrian Isnaeni
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1140-1149

Abstract

Demand and supply of information in online media, particularly regarding waste management, remain hampered by a number of obstacles. Consequently, the objective of this study is to determine the public's interest in waste management knowledge based on demand data obtained from Google trends and to determine the most recent events in waste management by analyzing online news content. As a result, vector autoregressive (VAR) with impulse response function (IRF) and latent dirichlet allocation (LDA) are utilized as the analysis method. An important finding of this study is that it takes at least four weeks for individuals to absorb waste management information. Therefore, it is necessary for the government and the pentahelix component to sit together in order to reduce the community's information acquisition delay. Waste management, which is the subject of the shared information, should guide the selection of keywords by information providers.
An intelligent mitigation of disturbances in electrical power system using distribution static synchronous compensator Ahmed Samir Alhattab; Ahmed Nasser B. Alsammak; Hasan Adnan Mohammed
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp633-642

Abstract

The power quality of an electrical system is critical for industrial, commercial, and housing applications, and with the increasing use of sensitive loads, customers and utilities are beginning to pay more attention to it. A distribution static synchronous compensator (D-STATCOM) represents one of the best custom power devices (CPDs) for improving the power quality of a distribution system. The performance of this device relies upon the algorithm and strategy used for its control. Artificial intelligence was utilized to overcome these shortcomings, while a response optimizer tool was used for the tuning process. An adaptive controller design was also proposed, based on the integration of fuzzy logic with traditional proportional-integral (PI) controller. The fuzzy logic controller system was designed using the adaptive neuro fuzzy interference system (ANFIS) editor. In this work, a D-STATCOM controller was used to mitigate sag and swell problems, while the ANFIS together with the optimization method was used to improve the system response. This study was carried out using MATLAB/Simulink, and the results showed a superior and adaptive performance in mitigating voltage sag and swell problems at different loading conditions compared to the traditional PI.

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