Measurement of student mental workload during online learning using Continuous Subjective Workload Assessment Technique (C-SWAT)

Lisa Melvi Ginting, Hasianna Nopina Situmorang, Ferry Indra Sakti H. Sinaga, Yoakim Simamora

Abstract


The covid-19 pandemic have effect in Indonesia both financial and non-financial sector include education. There is new habit on education system such as online learning. Since online learning student use gadget/computer to learn. Using gadget in high frequencies may cause effect. This research to measure mental workload of student during online learning in Mechanical Engineering Education Department. Mental effort is measured use continuous subjective workload assessment technique. Continuous subjective workload assessment technique (C-SWAT) is simplify of subjective workload assessment technique. In continuous subjective workload assessment technique, participant is asked dimension that participant prefer, after that participant is asked to do simple arithmetic test. Dimensions are time load, mental effort and psychology-effort.  This research use minimum weight of 0 (W0) with weight used is 1/3. Moreover, there is questionnaire to know study interest of participant during online learning.  In this research mental effort load is the second highest score, the first highest score is psychology stress effort. Multiplication test is high score than other arithmetic test. During online school student have fatigue, most of them feel eyestrain and body sore. Student prefer synchronous learning type than a-synchronous learning it’s because in synchronous learning student can discus with teacher directly.

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References


Sabrini, A., Jabbar, A., Rambe, M., Dini, D., Wahyuni, W. (2013) Pengukuran beban kerja karyawan dengan menggunakan metode SWAT (Subjective Workload Assessment Technique) dan Work Sampling di PT. XYZ. E-J. Tek. Indust. FT USU, 8: 6-13

Maulana, A.I., Gustopo, D., Galuh, H.W. (2019) Penerapan Subjective Workload Assessment Technique (SWAT) dan Work Sampling dalam pengukuran beban kerja mental kasir (studi kasus di Minimarket ABC-Kec Lowokwaru, Malang. Institut Teknologi Nasional, Malang

Luxiomon, A., Goonetilleke, R.S. (2001) Simplified Subjective Workload Assessment Technique. Ergonimics, 44: 229-243

Hakim, A., Suhendar, W., Agustina, D. (2018) Analisis beban kerja fisik dan mental menggunakan CVL dan Nasa-TLX pada divisi produksi PT. X. Barometer, 3: 142-146

Muslimah, E., Rokhima, C.Z., Alghofari, A.K. (2014) Evaluasi beban kerja mental dengan Subjective Workload Assessment Technique (SWAT) di PT. Air Mancur. Prosiding Seminar Nasional TEKNOIN

Haug, S., Castro, R.P., Kwon, M., Filler, A., Kowatsch, T., Schaub, M. (2015) Smartphone use and smartphone addiction among young people in Switzerland. J. Behav. Addict., 1: 299-307

Lu, J., Qi, C. (2021) Fatigue detection technology for online learning. International Conference on Networking and Network Applications (NaNA)

Hutabarat, J. (2018) Kognitif ergonomi. Mitra Gajayana, Malang

Lima, T.M., Coelho, D.A. (2018) Ergonomic and psychosocial factors and musculoskeletal complaints in public sector administration - a joint monitoring approach with analysis of association. Inter. J. Indust. Ergonom., 66: 85-94

Lina, D.F., Theresia, A.P., Willy, T. (2020) Analisis ergonomi pada perkuliahan daring menggunakan smartphone selama masa pandemi covid-19: studi kasus mahasiswa Teknik Industri Universitas Mulawarman. Operat. Excell.,12: 308-317

Zulfiqar, M., Afifuddin, R., Fattah, H. (2017) Hubungan antara beban kerja fisik dan beban kerja mental berbasis ergonomi terhadap tingkat kejenuhan kerja pada karyawan PT. Jasa Marga (Persero) Tbk Cabang Surabaya Gempol. J. Sains Psikol., 6: 37-42

Shah, S.S.H., Jaffari, A.R., Aziz, J., Ejaz, W., Ul-Haq, I., Raza, S.N. (2011) Workload and performance of employees. Interdiscipl. J. Contemp. Res. Bus., 3(5): 256-267


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