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All Journal Cakrawala Pendidikan Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Niagawan Journal of Education and Learning (EduLearn) Dinamika Pendidikan LIABILITIES (JURNAL PENDIDIKAN AKUNTANSI) GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Akuntansi dan Bisnis JCRS (Journal of Community Research and Service) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Fokus Bisnis: Media Pengkajian Manajemen dan Akuntansi Jurnal Pendidikan Progresif Dinamika Pendidikan
Gaffar Hafiz Sagala
Fakultas Ekonomi, Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Dinamika Pendidikan

 1 
Learning Community on Computer-Based Statistics Acceptance for Accounting Students Hafsah, Hafsah; Sagala, Gaffar Hafiz; Ramdhansyah, Ramdhansyah
Dinamika Pendidikan Vol 13, No 2 (2018): December 2018
Publisher : Fakultas Ekonomi, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v13i2.16852

Abstract

This study aims to examine the influence of the learning community on computer-based statistic acceptance. Acceptability is measured with perceived usefulness variables, perceived ease of use, perceived enjoyment, and reuse intention. This study used quasi-experimental design. To selecting the respondents, researchers used cluster random sampling and a questionnaire to collect the data. Respondents consisted of 207 accounting students of which 86 were engaged in the learning community while 121 were not. One-way ANOVA analysis result showed that students who participated in the learning community have better computer-based statistic acceptance than the students who did not. The learning community was found to be able to facilitate the transfer of knowledge among students more freely than in the classroom. Further research can consider true-experimental design or lab experiment with more rigorous manipulation for controlling bias from another variable that may consist.
Learning Community and Its Impact on Attitude toward Computer-Based Statistics Sagala, Gaffar Hafiz; Ramdhansyah, Ramdhansyah; Nurhayani, Ulfa
Dinamika Pendidikan Vol 16, No 1 (2021): June 2021
Publisher : Fakultas Ekonomi, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v16i1.27303

Abstract

This study examined the three dimensions that should exist in a learning community, namely Student Cohesiveness, Integration, and Task Orientation, related to their influence on attitude toward computer-based statistics. Attitude toward computer-based statistics itself is measured using constructs of the revised Technology Acceptance Model (TAM). This study was designed to justify the value of information systems (IS) in overcoming accounting students' statistical problems. The use of IS probable to reduce the pressure in dealing with statistics so that there is an opportunity to increase accounting students' competitive advantage. The respondents consisted of 105 undergraduate accounting students. The data was collected using a 5-scale Likert questionnaire then analyzed using Structural Equational Modelling (SEM). With purposive sampling, this study was collected 105 responses obtained from private and state universities. The results indicate that task orientation is the key indicator of the learning community, affecting attitude toward computer-based statistics. Meanwhile, the second-order factors show that all three predictors were essential in explaining attitude toward computer-based statistics and significantly impacted Reuse Intention. This study also suggests implementing an informal learning community to build learning dynamics that are more independent but still controllable so that the learning topic is integrated with certain subjects.
Learning Community on Computer-Based Statistics Acceptance for Accounting Students Hafsah, Hafsah; Sagala, Gaffar Hafiz; Ramdhansyah, Ramdhansyah
Dinamika Pendidikan Vol 13, No 2 (2018): December 2018
Publisher : Fakultas Ekonomi, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v13i2.16852

Abstract

This study aims to examine the influence of the learning community on computer-based statistic acceptance. Acceptability is measured with perceived usefulness variables, perceived ease of use, perceived enjoyment, and reuse intention. This study used quasi-experimental design. To selecting the respondents, researchers used cluster random sampling and a questionnaire to collect the data. Respondents consisted of 207 accounting students of which 86 were engaged in the learning community while 121 were not. One-way ANOVA analysis result showed that students who participated in the learning community have better computer-based statistic acceptance than the students who did not. The learning community was found to be able to facilitate the transfer of knowledge among students more freely than in the classroom. Further research can consider true-experimental design or lab experiment with more rigorous manipulation for controlling bias from another variable that may consist.
Learning Community and Its Impact on Attitude toward Computer-Based Statistics Sagala, Gaffar Hafiz; Ramdhansyah, Ramdhansyah; Nurhayani, Ulfa
Dinamika Pendidikan Vol 16, No 1 (2021): June 2021
Publisher : Fakultas Ekonomi, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v16i1.27303

Abstract

This study examined the three dimensions that should exist in a learning community, namely Student Cohesiveness, Integration, and Task Orientation, related to their influence on attitude toward computer-based statistics. Attitude toward computer-based statistics itself is measured using constructs of the revised Technology Acceptance Model (TAM). This study was designed to justify the value of information systems (IS) in overcoming accounting students' statistical problems. The use of IS probable to reduce the pressure in dealing with statistics so that there is an opportunity to increase accounting students' competitive advantage. The respondents consisted of 105 undergraduate accounting students. The data was collected using a 5-scale Likert questionnaire then analyzed using Structural Equational Modelling (SEM). With purposive sampling, this study was collected 105 responses obtained from private and state universities. The results indicate that task orientation is the key indicator of the learning community, affecting attitude toward computer-based statistics. Meanwhile, the second-order factors show that all three predictors were essential in explaining attitude toward computer-based statistics and significantly impacted Reuse Intention. This study also suggests implementing an informal learning community to build learning dynamics that are more independent but still controllable so that the learning topic is integrated with certain subjects.
Co-Authors Ali Fikri Hasibuan Andri Zainal Aried Sumekar Azizul Kholis Azizul Kholis, Azizul Dedy Husrizal Syah, Dedy Husrizal Deo Demonta Panggabean Dongoran, Faisal Rahman Eko Wahyu Nugrahadi Eko Wahyu Nugrahadi Hafsah Hafsah Heri Retnawati Jufri Darma Muhammad Bukhori Dalimunthe Mukti Hamjah Harahap, Mukti Hamjah Nasriah Nasriah Nelly Armayanti Nurhayani, Ulfa Ramdhansyah Ramdhansyah Rangga Restu Prayogo, Rangga Restu Rini Heriliani Rosmala Dewi Rosmala Dewi Sondang Aida Silalahi Sriwedari, Tuti SUKIRNO Sumekar, Aried Tambunan, Khairuddin Ependi Taufik Hidayat Taufik Hidayat Thohiri, Roza Tri Effiyanti Wildansyah Lubis Wildansyah lubis, Wildansyah Zaenal, Andri Zuraida Lubis