Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231570
Aliv Faizal Muhammad, D. Susanto, Akhmad Alimudin, Zulfikar Ali Rochman, Moh. Hasbi Assidiqi, Salim Nabhan
In the progress of science and technology today, the need to master English becomes very important. English which is an international language has become a part of all aspects of people's lives. So that at an early age, learning has been applied to English. In learning English, there are competencies namely writing, listening, and reading. Currently how to learn reading is often implemented only by saying words or sentences from textbooks. This will cause students to be focused on the material provided and tend to decrease conversation practice with someone directly. In addition, English learning time generally has a smaller portion and costly. Therefore, it needs to be developed a learning medium that is able to provide a way of learning English that simulates conversation directly. It can be accessed anywhere and anytime and minimize the cost of expenditure. Website-based learning can be an alternative. Web-based English learning applications with speech recognition technology was integrated with aritificial intelligence to train students to become active speakers rather than silent readers.
{"title":"Development of English Conversation Practice App with Artificial Intelligence & Speech Recognition","authors":"Aliv Faizal Muhammad, D. Susanto, Akhmad Alimudin, Zulfikar Ali Rochman, Moh. Hasbi Assidiqi, Salim Nabhan","doi":"10.1109/IES50839.2020.9231570","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231570","url":null,"abstract":"In the progress of science and technology today, the need to master English becomes very important. English which is an international language has become a part of all aspects of people's lives. So that at an early age, learning has been applied to English. In learning English, there are competencies namely writing, listening, and reading. Currently how to learn reading is often implemented only by saying words or sentences from textbooks. This will cause students to be focused on the material provided and tend to decrease conversation practice with someone directly. In addition, English learning time generally has a smaller portion and costly. Therefore, it needs to be developed a learning medium that is able to provide a way of learning English that simulates conversation directly. It can be accessed anywhere and anytime and minimize the cost of expenditure. Website-based learning can be an alternative. Web-based English learning applications with speech recognition technology was integrated with aritificial intelligence to train students to become active speakers rather than silent readers.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132781252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231740
Reza Dwi Agustin, I. Astawa, Aries Pratiarso
Digital Video Broadcasting-Second Generation Terrestrial (DVB-T2) has been the most possible solution to implement digital television. It is the developed version of the last system that is known as Digital Video Broadcasting-Terrestrial (DVB-T). DVB-T2 system has superiority in data transmissions reliability with a high point-to-multipoint speeds. The combination of MIMO and OFDM has resulted in a high-speed data transfer system. Yet, a high-speed transmission could cause an Inter-symbol Interference (ISI) as the effect of frequency selective fading channels. In this research, simulation and performance analysis of Turbo Coding implementation on the MIMO-based DVB-T2 system were conducted. This system used the OFDM transmission technique to decrease ISI. The Turbo Code of this system was used as a Forward Error Correction (FEC) that was able to decrease the number of Bit Error Rate (BER). V-BLAST was also implemented as a detector and MMSE as a channel estimator. As a result, the Turbo Code ½ rate and the Turbo Code rate shows a decent performance on the MIMO-based DVB-T2 system. It was shown that the resulted BER was smaller compared to the system with no code.
{"title":"Performance Analysis of Turbo Coding Implementation In MIMO Based DVB-T2 System","authors":"Reza Dwi Agustin, I. Astawa, Aries Pratiarso","doi":"10.1109/IES50839.2020.9231740","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231740","url":null,"abstract":"Digital Video Broadcasting-Second Generation Terrestrial (DVB-T2) has been the most possible solution to implement digital television. It is the developed version of the last system that is known as Digital Video Broadcasting-Terrestrial (DVB-T). DVB-T2 system has superiority in data transmissions reliability with a high point-to-multipoint speeds. The combination of MIMO and OFDM has resulted in a high-speed data transfer system. Yet, a high-speed transmission could cause an Inter-symbol Interference (ISI) as the effect of frequency selective fading channels. In this research, simulation and performance analysis of Turbo Coding implementation on the MIMO-based DVB-T2 system were conducted. This system used the OFDM transmission technique to decrease ISI. The Turbo Code of this system was used as a Forward Error Correction (FEC) that was able to decrease the number of Bit Error Rate (BER). V-BLAST was also implemented as a detector and MMSE as a channel estimator. As a result, the Turbo Code ½ rate and the Turbo Code rate shows a decent performance on the MIMO-based DVB-T2 system. It was shown that the resulted BER was smaller compared to the system with no code.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231615
Akuwan Saleh
Indonesia is a tropical country that has high rainfall. Environmental conditions greatly affect health conditions in humans such as skin health examples. Many people are still confused to identify the skin disease they are suffering from. This has a negative impact on people's lives. In this research, an application is made that is useful for introducing and informing various types of skin diseases with the Convolutional Neural Network (CNN) algorithm and implementation for information in introducing this skin disease using augmented reality (AR). This application is created using the Java programming language and is implemented on smartphones with the Android operating system.From the test results obtained, the classification results obtained when detecting skin diseases get conditions in accordance with or the same as the trained data. At a light intensity of 355 lux, the highest accuracy was obtained for measles skin disease. For the detection of skin diseases using different distances, the optimal distance to get a high accuracy value is the distance of 8 cm.
{"title":"Implementation of The Introduction of Skin Diseases Based on Augmented Reality","authors":"Akuwan Saleh","doi":"10.1109/IES50839.2020.9231615","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231615","url":null,"abstract":"Indonesia is a tropical country that has high rainfall. Environmental conditions greatly affect health conditions in humans such as skin health examples. Many people are still confused to identify the skin disease they are suffering from. This has a negative impact on people's lives. In this research, an application is made that is useful for introducing and informing various types of skin diseases with the Convolutional Neural Network (CNN) algorithm and implementation for information in introducing this skin disease using augmented reality (AR). This application is created using the Java programming language and is implemented on smartphones with the Android operating system.From the test results obtained, the classification results obtained when detecting skin diseases get conditions in accordance with or the same as the trained data. At a light intensity of 355 lux, the highest accuracy was obtained for measles skin disease. For the detection of skin diseases using different distances, the optimal distance to get a high accuracy value is the distance of 8 cm.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ies50839.2020.9231522
On behalf of the 22nd International Electronics Symposium (IES) 2020, I would like to welcome you all to this prestigious and high-quality conference. IES is one of the primary IEEE forums in Indonesia for publication and technical exchange of the latest research and innovation and brings together academia and industry to share and evaluate the technology related to Electronic and Computer. In this opportunity, I would like to express my sincere gratitude to our honourable Keynote Speakers, Director of Politeknik Elektronika Negeri Surabaya, IEEE Indonesia Section representative, Advisory Committee, Technical Program Committee, Steering Committee, and Organizing Committee for their support and efforts so that this event can be successfully conducted. This year, IES 2020 is conducted in Surabaya, Indonesia, from September 29-30, 2020, by a virtual conference since Indonesia and all over the world are suffering from the pandemic situation by Covid-19. This situation greatly impacts to our conference and forcing us to obey the IEEE Indonesia Section to conduct the event virtually. As the same as before, IES 2020 also conducts two sub-conferences, namely International Electronics Symposium on Engineering Technology and Applications (IES-ETA) and International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC).
{"title":"Welcome Message from General Chair of IES 2020","authors":"","doi":"10.1109/ies50839.2020.9231522","DOIUrl":"https://doi.org/10.1109/ies50839.2020.9231522","url":null,"abstract":"On behalf of the 22nd International Electronics Symposium (IES) 2020, I would like to welcome you all to this prestigious and high-quality conference. IES is one of the primary IEEE forums in Indonesia for publication and technical exchange of the latest research and innovation and brings together academia and industry to share and evaluate the technology related to Electronic and Computer. In this opportunity, I would like to express my sincere gratitude to our honourable Keynote Speakers, Director of Politeknik Elektronika Negeri Surabaya, IEEE Indonesia Section representative, Advisory Committee, Technical Program Committee, Steering Committee, and Organizing Committee for their support and efforts so that this event can be successfully conducted. This year, IES 2020 is conducted in Surabaya, Indonesia, from September 29-30, 2020, by a virtual conference since Indonesia and all over the world are suffering from the pandemic situation by Covid-19. This situation greatly impacts to our conference and forcing us to obey the IEEE Indonesia Section to conduct the event virtually. As the same as before, IES 2020 also conducts two sub-conferences, namely International Electronics Symposium on Engineering Technology and Applications (IES-ETA) and International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC).","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125722511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231695
Anisah Nabilah, R. Sigit, T. Harsono, A. Anwar
Ovarian cyst is a disease that occurs in the uterus of a woman, the method of detection and analysis is carried out by experts by looking at and observing the size of the cyst and the characteristics of the cyst on an ultrasound device. The accuracy of manual ovarian cyst measurement analysis on ultrasound examination results often results in errors, therefore a tool is needed to calculate the size of the cyst and detect the characteristics of the cyst based on the papillary growth in the cyst. Ultrasound image from the hospital as input from the system, then a preprocessing process is carried out to remove noise in the image, the next step is the segmentation process using the watershed method, the segmentation results will be used for feature extraction by detecting cysts and papillary and their sizes using contour analysis with the bounding box method. The extraction feature will be used for cyst classification. This system has an accuracy rate of 97.8%.
{"title":"Classification of Ovarian Cysts on Ultrasound Images Using Watershed Segmentation and Contour Analysis","authors":"Anisah Nabilah, R. Sigit, T. Harsono, A. Anwar","doi":"10.1109/IES50839.2020.9231695","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231695","url":null,"abstract":"Ovarian cyst is a disease that occurs in the uterus of a woman, the method of detection and analysis is carried out by experts by looking at and observing the size of the cyst and the characteristics of the cyst on an ultrasound device. The accuracy of manual ovarian cyst measurement analysis on ultrasound examination results often results in errors, therefore a tool is needed to calculate the size of the cyst and detect the characteristics of the cyst based on the papillary growth in the cyst. Ultrasound image from the hospital as input from the system, then a preprocessing process is carried out to remove noise in the image, the next step is the segmentation process using the watershed method, the segmentation results will be used for feature extraction by detecting cysts and papillary and their sizes using contour analysis with the bounding box method. The extraction feature will be used for cyst classification. This system has an accuracy rate of 97.8%.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123474156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231564
B. Sumantri, N. Tamami, Yudha Birawa Nuraga, Bagus Kurniawan
Quadcopter has been interesting researchers due to its wide application, such as surveillance, mapping, delivery drone, etc… Developing a low-cost embedded flight controller unit (EFCU) for making the quadcopter autonomous is still challenging problem. In this work, an EFCU is developed based on ARM STM32F103C8T6 microcontroller, the MPU6050 IMU sensor and the HC-SR04 ultrasonic sensor. An PID control strategy is implemented for automatically take-off, landing, and stabilizing control of the quadcopter. The EFCU and PID controller is developed in this work. It is implemented and tested experimentally by providing error on roll and pitch position in 0.71° and 0.68° respectively.
{"title":"Development of a Low-Cost Embedded Flight Controller for Quadcopter","authors":"B. Sumantri, N. Tamami, Yudha Birawa Nuraga, Bagus Kurniawan","doi":"10.1109/IES50839.2020.9231564","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231564","url":null,"abstract":"Quadcopter has been interesting researchers due to its wide application, such as surveillance, mapping, delivery drone, etc… Developing a low-cost embedded flight controller unit (EFCU) for making the quadcopter autonomous is still challenging problem. In this work, an EFCU is developed based on ARM STM32F103C8T6 microcontroller, the MPU6050 IMU sensor and the HC-SR04 ultrasonic sensor. An PID control strategy is implemented for automatically take-off, landing, and stabilizing control of the quadcopter. The EFCU and PID controller is developed in this work. It is implemented and tested experimentally by providing error on roll and pitch position in 0.71° and 0.68° respectively.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231648
M. Royhan Iqbal, Ali Husein Alasiry, H. Oktavianto, Adytia Darmawan, Alvin Teguh Budi Antok, Ibnu Kresno Wibowo
Trinity College International Firefighting Robot Contest (TCIFFRC) is a firefighting robot competition organized by Trinity College, United States. In the TCIFFRC track, there are four types of room with different characteristics. When the game starts, the robot can be located in any room with randomly placed tube-shaped obstacles (simulating furniture). The robot must be able to detect those obstacles in order to know its position, so that the robot can go out of the room avoiding the obstacles quickly. The focus of this research is to improve the ability of the robot by using corner detection to detect the furniture correctly so that the robot can know the position of the furniture. The robot in this research is a quadruped robot that has been equipped with a 2-dimensional (2-D) laser range scanner (RPLIDAR A1M8). The experiment results showed that the robot was able to detect the furniture up to 5 meters away with an error of 12.5% and 6.12% for the measured angle and the measured distance, respectively. The success rate of the robot achieved 94.7% in being able to escape from the given room with the furniture.
{"title":"Corner Detection with 2-D RPLIDAR to Detect Furniture on TCIFFRC Tracks","authors":"M. Royhan Iqbal, Ali Husein Alasiry, H. Oktavianto, Adytia Darmawan, Alvin Teguh Budi Antok, Ibnu Kresno Wibowo","doi":"10.1109/IES50839.2020.9231648","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231648","url":null,"abstract":"Trinity College International Firefighting Robot Contest (TCIFFRC) is a firefighting robot competition organized by Trinity College, United States. In the TCIFFRC track, there are four types of room with different characteristics. When the game starts, the robot can be located in any room with randomly placed tube-shaped obstacles (simulating furniture). The robot must be able to detect those obstacles in order to know its position, so that the robot can go out of the room avoiding the obstacles quickly. The focus of this research is to improve the ability of the robot by using corner detection to detect the furniture correctly so that the robot can know the position of the furniture. The robot in this research is a quadruped robot that has been equipped with a 2-dimensional (2-D) laser range scanner (RPLIDAR A1M8). The experiment results showed that the robot was able to detect the furniture up to 5 meters away with an error of 12.5% and 6.12% for the measured angle and the measured distance, respectively. The success rate of the robot achieved 94.7% in being able to escape from the given room with the furniture.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231678
M. T. Fiddin Al Islami, Ali Ridho Barakbah, T. Harsono
Companies and small medium businesses (UMKM) need to interact with customers to increase their customer retention rate. One of the ways is to use chatbot. Aside from being cost-effective, this method is also very effective and very easy for companies to use. To make an easy and effective chatbot requires a combination of two scientific fields, artificial intelligence and software engineering. This study has the following features. 1) Affective sentiment analysis, this feature is inspired by Russel’s Circumplex Model. Adjective words will be mapped in a matrix with values based on the Russell Circumplex Model. This model will pay attention on the adjective words, polarity, and affection degree of a sentence. 2) Conjunction sentiment analysis, consider of free way of interaction nowdays, a sentiment analysis system need to determine the sentiment value in multilevel sentences. This multilevel sentence has one or more conjunctions. This conjunction sentiment system will break sentences based on conjunction. The fractional sentence will be processed by affective sentiment analysis. The system then considers the nature of the conjunction to determine the sentiment of the whole sentence. 3) Graph Chatbot, this feature is used to make it easy for companies to modify and generate their bots. This bot will interact with customers like humans, based on a graph chat map that has been created. Chatbot graphs were developed using javascript library Vue js to make it easier to manipulate the visual graph. The system produces satisfying accuracy. Graph chatbot can handle procedural conversations very well. The flow of conversation in accordance with the graph that has been defined. Graph chatbot has 100% accuracy and successfully responds to all user conversations. The sentiment method has 63% accuracy.
{"title":"Interactive Applied Graph Chatbot with Semantic Recognition","authors":"M. T. Fiddin Al Islami, Ali Ridho Barakbah, T. Harsono","doi":"10.1109/IES50839.2020.9231678","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231678","url":null,"abstract":"Companies and small medium businesses (UMKM) need to interact with customers to increase their customer retention rate. One of the ways is to use chatbot. Aside from being cost-effective, this method is also very effective and very easy for companies to use. To make an easy and effective chatbot requires a combination of two scientific fields, artificial intelligence and software engineering. This study has the following features. 1) Affective sentiment analysis, this feature is inspired by Russel’s Circumplex Model. Adjective words will be mapped in a matrix with values based on the Russell Circumplex Model. This model will pay attention on the adjective words, polarity, and affection degree of a sentence. 2) Conjunction sentiment analysis, consider of free way of interaction nowdays, a sentiment analysis system need to determine the sentiment value in multilevel sentences. This multilevel sentence has one or more conjunctions. This conjunction sentiment system will break sentences based on conjunction. The fractional sentence will be processed by affective sentiment analysis. The system then considers the nature of the conjunction to determine the sentiment of the whole sentence. 3) Graph Chatbot, this feature is used to make it easy for companies to modify and generate their bots. This bot will interact with customers like humans, based on a graph chat map that has been created. Chatbot graphs were developed using javascript library Vue js to make it easier to manipulate the visual graph. The system produces satisfying accuracy. Graph chatbot can handle procedural conversations very well. The flow of conversation in accordance with the graph that has been defined. Graph chatbot has 100% accuracy and successfully responds to all user conversations. The sentiment method has 63% accuracy.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121339006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231578
Febi Nur Salsabila, Umi Laili Yuhana, E. M. Yuniarno, M. Purnomo
The limitations of deaf children in language lead to the delay progress in teaching and learning process of deaf children compared to normal children, especially in mathematics. This also made teacher hard to understand to what extent the deaf students understand the lesson taught by teacher. Using the advantage of serious game which can help motivate students, this research used Sifte-math, a Sifteo based serious game to test the ability of deaf students in basic mathematics lesson for elementary school, hoping that the game can be an alternative tool for assessment. Sifte-Math was tested on seven students in a school for disabled children in Surabaya, Indonesia. Six from seven students who tested the game responded with enjoy playing the game. Four of them said they prefer to use Sifte-Math as their assessment tools instead of paper and pen, while one student prefers the basic paper and pen, and the other two students prefer both.
{"title":"Sifte-Math, A Sifteo based Mathematics Assessment Serious Game for Deaf Children","authors":"Febi Nur Salsabila, Umi Laili Yuhana, E. M. Yuniarno, M. Purnomo","doi":"10.1109/IES50839.2020.9231578","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231578","url":null,"abstract":"The limitations of deaf children in language lead to the delay progress in teaching and learning process of deaf children compared to normal children, especially in mathematics. This also made teacher hard to understand to what extent the deaf students understand the lesson taught by teacher. Using the advantage of serious game which can help motivate students, this research used Sifte-math, a Sifteo based serious game to test the ability of deaf students in basic mathematics lesson for elementary school, hoping that the game can be an alternative tool for assessment. Sifte-Math was tested on seven students in a school for disabled children in Surabaya, Indonesia. Six from seven students who tested the game responded with enjoy playing the game. Four of them said they prefer to use Sifte-Math as their assessment tools instead of paper and pen, while one student prefers the basic paper and pen, and the other two students prefer both.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129344221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231918
Halimatus Sa’dyah, A. Basuki
In this paper, we explore potential challenges of online learning activity in Politeknik Elektronika Negeri Surabaya at the beginning of Covid-19 outbreak. We start our exploration from performance phase to self-reflective phase according to Zimmerman’s learning phase. There are three challenge that could be defined from the exploration. First challenge is about how to cultivates ask-for-help culture for students so that students could understand their learning resources well. Second challenge is about how to cultivate learning journey sharing so that students could have a lot of exposure to learning resources that easier to understand. Third challenge is about how to cultivate self-reflective habit for students so that the students could have awareness to improve their learning method and get better learning outcome.
{"title":"Exploring Challenges of Online Learning Activity in Politeknik Elektronika Negeri Surabaya at The Beginning of Covid-19 Outbreak","authors":"Halimatus Sa’dyah, A. Basuki","doi":"10.1109/IES50839.2020.9231918","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231918","url":null,"abstract":"In this paper, we explore potential challenges of online learning activity in Politeknik Elektronika Negeri Surabaya at the beginning of Covid-19 outbreak. We start our exploration from performance phase to self-reflective phase according to Zimmerman’s learning phase. There are three challenge that could be defined from the exploration. First challenge is about how to cultivates ask-for-help culture for students so that students could understand their learning resources well. Second challenge is about how to cultivate learning journey sharing so that students could have a lot of exposure to learning resources that easier to understand. Third challenge is about how to cultivate self-reflective habit for students so that the students could have awareness to improve their learning method and get better learning outcome.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126582707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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