Jurnal Infotel (Sekolah Tinggi Teknologi Telematika Telkom Purwokerto)
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Acceptance of e-learning system at private university in Indonesia during the covid-19 pandemic: students' perspectives
Full text linkThe Covid-19 pandemic in Indonesia has an impact on changes in policies and the learning process at Budi Luhur University (UBL). The complete online learning policy has been implemented since the 2nd semester of 2019/2020, which began in March 2020. Students and lecturers carry out teaching and learning activities through an e-learning system developed in 2005. Although it has been implemented for a long time, the level of acceptance has never been measured comprehensively. This research has a contribution in measuring the level of acceptance of the e-learning. In addition, before the Covid-19 pandemic, the use of the e-learning system was still partially implemented and only for a few courses. In this study, an analysis of the student acceptance of the UBL e-learning system was carried out by involving respondents and a more comprehensive acceptance model. The modeling used in this study refers to the Comprehensive Technology Acceptance Model (CTAM) with seven exogenous variables and five endogenous variables. Testing and analysis are based on variant-based structural equation models, namely Partial Least Square (PLS) using the SmartPLS application. The results show that nine main factors influence student acceptance of the e-learning system: system quality, content quality, information quality, accessibility, enjoyment, perceived ease of use, perceived usefulness, and student attitudes towards applications and behavioral intention to use. This research is helpful for UBL and other educational institutions as material for developing a quality e-learning system accepted by its users.The Covid-19 pandemic in Indonesia has an impact on changes in policies and the learning process at Budi Luhur University (UBL). The complete online learning policy has been implemented since the 2nd semester of 2019/2020, which began in March 2020. Students and lecturers carry out teaching and learning activities through an e-learning system developed in 2005. Although it has been implemented for a long time, the level of acceptance has never been measured comprehensively. This research has a contribution in measuring the level of acceptance of the e-learning. In addition, before the Covid-19 pandemic, the use of the e-learning system was still partially implemented and only for a few courses. In this study, an analysis of the student acceptance of the UBL e-learning system was carried out by involving respondents and a more comprehensive acceptance model. The modeling used in this study refers to the Comprehensive Technology Acceptance Model (CTAM) with seven exogenous variables and five endogenous variables. Testing and analysis are based on variant-based structural equation models, namely Partial Least Square (PLS) using the SmartPLS application. The results show that nine main factors influence student acceptance of the e-learning system: system quality, content quality, information quality, accessibility, enjoyment, perceived ease of use, perceived usefulness, and student attitudes towards applications and behavioral intention to use. This research is helpful for UBL and other educational institutions as material for developing a quality e-learning system accepted by its users
Usability and user satisfaction rate evaluation on e-learning application from student's perspective using Nielsen usability method
Full text linkCovid-19 is a new and contagious disease that has spread throughout the world community. This disease has spread to Indonesia since early March 2020. One way to prevent the spread of this virus is by implementing activities from home. Budi Luhur University is one of the educational institutions that has implemented work and learning from home during the Covid-19 pandemic. In the teaching and learning process, the E-Learning application is the main tool used both from the faculty and student sides. The total and urgent implementation of E-Learning application which began in March 2020 caused several problems that reduced the comfort of students in carrying out learning process. The purpose of this study is to measure the level of student satisfaction and the level of use of the E-Learning application and its features. This study used a survey sampling method by distributing questionnaires and getting results from 115 respondents. The method used in this research is the Nielsen Usability method. Measurements were made using five criteria: Learnability, Memorability, Efficiency, Errors, and Satisfaction. Result show, although the average of each dimension is in the satisfied interpretation, there are significant differences in the level of satisfaction in each dimension. The dimension with the lowest average rating is the Errors dimension. This shows that respondents still find some errors when using the E-Learning application so that respondents do not show significant satisfaction in terms of the Errors dimension. In other side, result shows that the respondent thinks face-to-face meetings are still needed.
Covid-19 is a new and contagious disease that has spread throughout the world community. This disease has spread to Indonesia since early March 2020. One way to prevent the spread of this virus is by implementing activities from home. Budi Luhur University is one of the educational institutions that has implemented work and learning from home during the Covid-19 pandemic. In the teaching and learning process, the E-Learning application is the main tool used both from the faculty and student sides. The total and urgent implementation of E-Learning application which began in March 2020 caused several problems that reduced the comfort of students in carrying out learning process. The purpose of this study is to measure the level of student satisfaction and the level of use of the E-Learning application and its features. This study used a survey sampling method by distributing questionnaires and getting results from 115 respondents. The method used in this research is the Nielsen Usability method. Measurements were made using five criteria: Learnability, Memorability, Efficiency, Errors, and Satisfaction. Result show, although the average of each dimension is in the satisfied interpretation, there are significant differences in the level of satisfaction in each dimension. The dimension with the lowest average rating is the Errors dimension. This shows that respondents still find some errors when using the E-Learning application so that respondents do not show significant satisfaction in terms of the Errors dimension. In other side, result shows that the respondent thinks face-to-face meetings are still needed.
 
Rain Effect to A 60 GHz Broadband Wireless System’s Performance: Study Case In Purwakarta
Full text linkNowadays, world wide telecommunication researchers are developing 5G technology. One of most important key technology in 5G is Milimeter-Wave (mmWave). This study measure 60 GHz broadband wireless system performance because of it’s promising potentials. However, the use of these frequencies is quite sensitive to rain that resulting an atenuation in the channel. Therefore, this study proposes two schemes to address the problem. The first scheme is the use of QAM modulation (Quadrature Amplitude Modulation) and the second scheme is an addition of LDPC (Low Density Parity Check) code techniques. From the results of this study, by using 4-QAM modulation and LDPC coderate 1/2, the broadband wireless system’s performance on the second scheme is better compared to the first scheme with 8.33 dB Signal to Noise Ratio (SNR) value to provides BER (Bit Error Rate) 10-4Nowadays, world wide telecommunication researchers are developing 5G technology. One of most important key technology in 5G is Milimeter-Wave (mmWave). This study measure 60 GHz broadband wireless system performance because of it’s promising potentials. However, the use of these frequencies is quite sensitive to rain that resulting an atenuation in the channel. Therefore, this study proposes two schemes to address the problem. The first scheme is the use of QAM modulation (Quadrature Amplitude Modulation) and the second scheme is an addition of LDPC (Low Density Parity Check) code techniques. From the results of this study, by using 4-QAM modulation and LDPC coderate 1/2, the broadband wireless system’s performance on the second scheme is better compared to the first scheme with 8.33 dB Signal to Noise Ratio (SNR) value to provides BER (Bit Error Rate) 10-
Object Position Estimation based on Dual Sight Perspective Configuration
Full text linkDevelopment of the coordination system requires the dataset because the dataset could provide information around the system that the coordination system can use to make decisions. Therefore, the capability to process and display data-related positions of objects around the robots is necessary. This paper provides a method to predict an object’s position. This method is based on the Indoor Positioning System (IPS) idea and object position estimation with the multi-camera system (i.e., stereo vision). This method needs two input data to estimate the ball position: the input image and the robot’s relative position. The approach adopts simple and easy calculation technics: trigonometry, angle rotations, and linear function. This method was tested on a ROS and Gazebo simulation platform. The experimental result shows that this configuration could estimate the object’s position with Mean Squared Error was 0.383 meters. Besides, R squared distance calibration value is 0.9932, which implies that this system worked very well at estimating an object’s position.Development of the coordination system requires the dataset because the dataset could provide information around the system that the coordination system can use to make decisions. Therefore, the capability to process and display data-related positions of objects around the robots is necessary. This paper provides a method to predict an object’s position. This method is based on the Indoor Positioning System (IPS) idea and object position estimation with the multi-camera system (i.e., stereo vision). This method needs two input data to estimate the ball position: the input image and the robot’s relative position. The approach adopts simple and easy calculation technics: trigonometry, angle rotations, and linear function. This method was tested on a ROS and Gazebo simulation platform. The experimental result shows that this configuration could estimate the object’s position with Mean Squared Error was 0.383 meters. Besides, R squared distance calibration value is 0.9932, which implies that this system worked very well at estimating an object’s position
Classification of Javanese Script Hanacara Voice Using Mel Frequency Cepstral Coefficient MFCC and Selection of Dominant Weight Features
Full text linkThis study investigates the sound of Hanacaraka in Javanese to select the best frame feature in checking the reading sound. Selection of the right frame feature is needed in speech recognition because certain frames have accuracy at their dominant weight, so it is necessary to match frames with the best accuracy. Common and widely used feature extraction models include the Mel Frequency Cepstral Coefficient (MFCC). The MFCC method has an accuracy of 50% to 60%. This research uses MFCC and the selection of Dominant Weight features for the Javanese language script sound Hanacaraka which produces a frame and cepstral coefficient as feature extraction. The use of the cepstral coefficient ranges from 0 to 23 or as many as 24 cepstral coefficients. In comparison, the captured frame consists of 0 to 10 frames or consists of eleven frames. A sound sampling of 300 recorded voice sampling was tested on 300 voice recordings of both male and female voice recordings. The frequency used is 44,100 kHz 16-bit stereo. The accuracy results show that the MFCC method with the ninth frame selection has a higher accuracy rate of 86% than other frames.This study investigates the sound of Hanacaraka in Javanese to select the best frame feature in checking the reading sound. Selection of the right frame feature is needed in speech recognition because certain frames have accuracy at their dominant weight, so it is necessary to match frames with the best accuracy. Common and widely used feature extraction models include the Mel Frequency Cepstral Coefficient (MFCC). The MFCC method has an accuracy of 50% to 60%. This research uses MFCC and the selection of Dominant Weight features for the Javanese language script sound Hanacaraka which produces a frame and cepstral coefficient as feature extraction. The use of the cepstral coefficient ranges from 0 to 23 or as many as 24 cepstral coefficients. In comparison, the captured frame consists of 0 to 10 frames or consists of eleven frames. A sound sampling of 300 recorded voice sampling was tested on 300 voice recordings of both male and female voice recordings. The frequency used is 44,100 kHz 16-bit stereo. The accuracy results show that the MFCC method with the ninth frame selection has a higher accuracy rate of 86% than other frames
Smart card security mechanism with dynamic key
Full text linkAs a currently popular technology, the use of smart cards continues to increase in various fields and the rapid development of technology. Therefore, data security stored on a smart card needs to focus on avoiding misuse of data by unauthorized parties. However, it is not enough for the security mechanism to be carried out only during the communication process of sending data. Then, the mechanism for securing data on the smart card also needs to be done. In this study, a data security technique using dynamic keys is proposed by changing the key and access conditions on the smart card according to predetermined rules. Dynamic keys are a new mechanism proposed to authenticate smart cards using a different key on each card. This technique ensures that the keys used to access each smart card are different so that the risk of data duplication and modification threats can be minimized. In addition, this mechanism is a low-cost security privacy protection. The test results show that the data security technique using dynamic keys ensures that read and write access to the smart card can only be done if the keys match the rules.As a currently popular technology, the use of smart cards continues to increase in various fields and the rapid development of technology. Therefore, data security stored on a smart card needs to focus on avoiding misuse of data by unauthorized parties. However, it is not enough for the security mechanism to be carried out only during the communication process of sending data. Then, the mechanism for securing data on the smart card also needs to be done. In this study, a data security technique using dynamic keys is proposed by changing the key and access conditions on the smart card according to predetermined rules. Dynamic keys are a new mechanism proposed to authenticate smart cards using a different key on each card. This technique ensures that the keys used to access each smart card are different so that the risk of data duplication and modification threats can be minimized. In addition, this mechanism is a low-cost security privacy protection. The test results show that the data security technique using dynamic keys ensures that read and write access to the smart card can only be done if the keys match the rules
A double e-shape microstripe antenna design with proximity coupling techniques
No full textWireless technology is currently growing along with the increasing need for communication in society. This of course must be supported by better and more efficient device specifications, one of which is the antenna. Microstrip antenna is currently one type of antenna that is widely carried out by lecturers and students because of its shape that can be arranged in such a way that it is expected to be more efficient and practical. In this research, a Double E-shaped microstrip antenna with proximity coupling technique will be designed which will be applied in S-Band services. The S-Band service itself is in the 2-4 GHz frequency range which can serve broadband services. The initial stage of the design takes into account the dimensions of the antenna using the applicable formula to obtain suitable dimensions, then optimization of the feed slot and position of the letter E on the antenna patch uses Ansoft HFSS simulation to obtain the best optimization results. From the design results, it is expected to obtain a microstrip antenna in the form of Double E-shaped with Proximity Coupling technique with a working frequency of 2.5 GHz, a return loss of -18.573 dB, a bandwidth of 144 MHz, a VSWR of 1.265 and a gain of 5.8 dB with the results of the omnidirectional radiation pattern being met as expected.Teknologi nirkabel saat ini semakin berkembang seiring dengan meningkatnya kebutuhan komunikasi di masyarakat. Hal ini tentunya harus didukung dengan spesifikasi perangkat yang lebih baik dan lebih efisien, salah satunya antena. Antena mikrostrip saat ini merupakan salah satu jenis antena yang banyak dilakukan oleh dosen dan mahasiswa karena bentuknya yang dapat diatur sedemikian rupa sehingga diharapkan lebih efisien dan praktis. Pada penelitian ini akan dirancang antena mikrostrip berbentuk Double E dengan teknik proximity coupling yang akan diaplikasikan pada layanan S-Band. Layanan S-Band sendiri berada pada rentang frekuensi 2-4 GHz yang dapat melayani layanan broadband. Tahap awal perancangan memperhitungkan dimensi antena menggunakan rumus yang berlaku untuk mendapatkan dimensi yang sesuai, kemudian optimasi feed slot dan posisi huruf E pada patch antena menggunakan simulasi Ansoft HFSS untuk mendapatkan hasil optimasi terbaik. Dari hasil perancangan diharapkan didapatkan antena mikrostrip berbentuk Double E dengan teknik Proximity Coupling dengan frekuensi kerja 2.5 GHz, return loss -18.573 dB, bandwidth 144 MHz, VSWR sebesar 1,265 dan penguatan 5,8 dB dengan hasil pola radiasi omnidirectional terpenuhi seperti yang diharapkan
Evaluation of MVNO model implementation in remote and border areas using the consistent fuzzy preference relations method
Full text linkLaw No. 36 of 1999 concerning Telecommunication has brought many changes, especially in the development of telecommunications infrastructure in Indonesia. However, the penetration of telecommunications services in the forefront, outermost, and backward regions is still relatively low. The government has made various efforts in terms of minimizing the gap in telecommunication services between urban and rural areas through various programs. However, an acceleration is needed so that the service disparity can be immediately overcome. One of the telecommunications products that can be applied to overcome these barriers is the Mobile Virtual Network Operator (MVNO). This study evaluates the most appropriate type of MVNO model to be applied in Indonesia by implementing the Consistent Fuzzy Preference Relations (CFPR) method. This method is able to accommodate expert opinion through a series of scientific steps so as to produce weights for each alternative type of MVNO model. The results obtained are that the most appropriate model to be applied in Indonesia by taking into account the criteria given. The implementation of this model is expected to be able to encourage the optimization of BTS USO that has been declared by the government.Law No. 36 of 1999 concerning Telecommunication has brought many changes, especially in the development of telecommunications infrastructure in Indonesia. However, the penetration of telecommunications services in the forefront, outermost, and backward regions is still relatively low. The government has made various efforts in terms of minimizing the gap in telecommunication services between urban and rural areas through various programs. However, an acceleration is needed so that the service disparity can be immediately overcome. One of the telecommunications products that can be applied to overcome these barriers is the Mobile Virtual Network Operator (MVNO). This study evaluates the most appropriate type of MVNO model to be applied in Indonesia by implementing the Consistent Fuzzy Preference Relations (CFPR) method. This method is able to accommodate expert opinion through a series of scientific steps so as to produce weights for each alternative type of MVNO model. The results obtained are that the most appropriate model to be applied in Indonesia by taking into account the criteria given. The implementation of this model is expected to be able to encourage the optimization of BTS USO that has been declared by the government
