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The Application of C4.5 Algorithm to Classify the User Satisfaction of Online Learning System Didi Supriyadi; S. Thya Safitri
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.67

Abstract

Telkom Institute of Technology Purwokerto (ITTP) is one of the universities that always strives to improve the quality of services to stakeholders. One of the services provided is an online learning system known as e-learning. Currently, ITTP does not have an obvious measurement to determine the level of user satisfaction of the e-learning system. System user satisfaction is determined by the quality of the system. Therefore, the purpose of this research is to determine the user satisfaction of the ITTP e-learning system by referring to the attributes of the success information system model developed by DeLone & McLean. Attributes used include the Ease of use, Response time, Reliability, Flexibility, and Security. Respondent data related to the assessment of the e-learning system were further classified by applying the C4.5 Decision Tree algorithm. Based on the results of calculations and tests using Rapid Miner software, it is known that the classification of users who have the SATISFIED classification is 46 respondents and 27 respondents are DISSATISFIED. Also, it is known that the flexibility of the ITTP e-learning system is the main determinant indicator of user satisfaction followed by response time.
Higher Education e-Learning Usability Analysis Using System Usability Scale Didi Supriyadi; S. Thya Safitri; Daniel Yeri Kristiyanto
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.81

Abstract

The COVID-19 pandemic encourages almost every institution to optimize the use of information and communication technology to maintain consistency and competitive advantage. One of the efforts made by Higher education is developing and optimizing online-based learning (e-learning) models. E-learning plays an important role in the success of achieving learning objectives at Telkom Institute of Technology Purwokerto (ITTP), which is conducted between lecturers and students. The problem faced in optimizing e-learning system at ITTP is related to usability. The purpose of this study is to evaluate the usability level of the ITTP e-learning system using the System Usability Scale (SUS) method. Based on the testing of questionnaire instruments using SPSS software, it was obtained the result that the questionnaire used for the study was valid, and the reliability rate was 0.758. Based on the results of system tests to 100 respondents or users, it is known that the SUS score is 55.3. The value indicates that the acceptability ranges are in the Marginal Low range. It can be seen from the adjective rating, SUS score from the ITTP e-learning system is in the CATEGORY OK and according to Curved Grade Scale (CGS) is in grade D. Based on Net Promoter Scale (NPS), the score 55.3 indicates that the ITTP e-learning system users tend to be in the Detractor category.
Higher Education e-Learning Usability Analysis Using System Usability Scale Didi Supriyadi; S. Thya Safitri; Daniel Yeri Kristiyanto
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.256 KB) | DOI: 10.30645/ijistech.v4i1.81

Abstract

The COVID-19 pandemic encourages almost every institution to optimize the use of information and communication technology to maintain consistency and competitive advantage. One of the efforts made by Higher education is developing and optimizing online-based learning (e-learning) models. E-learning plays an important role in the success of achieving learning objectives at Telkom Institute of Technology Purwokerto (ITTP), which is conducted between lecturers and students. The problem faced in optimizing e-learning system at ITTP is related to usability. The purpose of this study is to evaluate the usability level of the ITTP e-learning system using the System Usability Scale (SUS) method. Based on the testing of questionnaire instruments using SPSS software, it was obtained the result that the questionnaire used for the study was valid, and the reliability rate was 0.758. Based on the results of system tests to 100 respondents or users, it is known that the SUS score is 55.3. The value indicates that the acceptability ranges are in the Marginal Low range. It can be seen from the adjective rating, SUS score from the ITTP e-learning system is in the CATEGORY OK and according to Curved Grade Scale (CGS) is in grade D. Based on Net Promoter Scale (NPS), the score 55.3 indicates that the ITTP e-learning system users tend to be in the Detractor category.
The Application of C4.5 Algorithm to Classify the User Satisfaction of Online Learning System Didi Supriyadi; S. Thya Safitri
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.118 KB) | DOI: 10.30645/ijistech.v3i2.67

Abstract

Telkom Institute of Technology Purwokerto (ITTP) is one of the universities that always strives to improve the quality of services to stakeholders. One of the services provided is an online learning system known as e-learning. Currently, ITTP does not have an obvious measurement to determine the level of user satisfaction of the e-learning system. System user satisfaction is determined by the quality of the system. Therefore, the purpose of this research is to determine the user satisfaction of the ITTP e-learning system by referring to the attributes of the success information system model developed by DeLone & McLean. Attributes used include the Ease of use, Response time, Reliability, Flexibility, and Security. Respondent data related to the assessment of the e-learning system were further classified by applying the C4.5 Decision Tree algorithm. Based on the results of calculations and tests using Rapid Miner software, it is known that the classification of users who have the SATISFIED classification is 46 respondents and 27 respondents are DISSATISFIED. Also, it is known that the flexibility of the ITTP e-learning system is the main determinant indicator of user satisfaction followed by response time.