Main Article Content
Abstract
The transformation of education governance toward data-driven practices has strengthened the strategic role of school operators while increasing administrative complexity, potentially creating an imbalance between workload and available working time. This study aims to assess the alignment between the workload of educational personnel serving as school operators and effective working time using a quantitative descriptive approach. Data were collected through observations of work activities and analysis of administrative documents, with workload calculated and compared to an annual effective working time of 75,000 minutes. The findings show that at the elementary school level, workload remains within capacity; at the junior high school level, it begins to exceed capacity; and at the senior high school level, it significantly surpasses the capacity of a single operator. These results indicate variations in workload across educational levels due to differences in administrative complexity. The study contributes empirically to workload evaluation and provides an analytical basis for more proportional staffing to support effective and sustainable education governance.
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References
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- Alfajri, A., Sutedjo, M. B. D., & Kumala, A. A. (2024b). Workload indicator staffing need (WISN) as a method for analyzing clinic health personnel needs in Surakarta. Media Publikasi Promosi Kesehatan Indonesia. https://doi.org/10.56338/mppki.v7i7.5292
- Al-Gburi, H. A. I., & Musaheb, M. R. (2024). The impact of supportive leadership on work stress: An empirical research in the Ministry of Iraqi Interior. Journal of Economics and Administrative Sciences. https://doi.org/10.33095/jeas.v30i140.2400
- Aytona, M. G. C., Politico, M. R., McManus, L., Ronquillo, K., & Okech, M. (2021). Determining staffing standards for primary care services using workload indicators of staffing needs in the Philippines. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00670-4
- Bashir, M., Zahra, S. N., & Qaisar, Z. (2024). The gig economy and automation: Implications for human resource management in Pakistan. Inverge Journal of Social Sciences. https://doi.org/10.47631/ijss.2302
- Chen, Y., Chan, C. W., Dong, J., Jackson, E. M., Yip, N. H., & Rossetti, S. C. (2024). Beyond order-based nursing workload: A retrospective cohort study in intensive care units. Journal of Nursing Scholarship. https://doi.org/10.1111/jnu.12979
- Dimiri, D., Mek, N., Apini, M. T., Ali, T., Pumuye, G. T., Laka, V., Jogo, R., Kari, P., Deki, O., Mollent, O., Luo, D., Maalsen, A., Yapi, K., & Madodo, R. (2022). Estimating staffing requirements using workload indicators of staffing need at Braun District Hospital in Morobe Province, Papua New Guinea. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00677-x
- Firasghani, M. A., & Rinawati, R. (2025). Human resource needs assessment in the health sector using workload analysis method: A literature case study. International Journal Administration, Business & Organization. https://doi.org/10.61242/ijabo.25.490
- Giotopoulos, K. C., Michalopoulos, D., Vonitsanos, G., Papadopoulos, D., Giannoukou, I., & Sioutas, S. (2024). Dynamic workload management system in the public sector. Information, 15(6), 335. https://doi.org/10.3390/info15060335
- Helshinta, N., Pangaribuan, D., & Ginting, C. (2022). Analysis of health personnel needs (paramedic) in handling COVID-19 based on workload using the WISN method at Hospital Royal Prima Medan. International Journal of Research and Review. https://doi.org/10.52403/ijrr.20220259
- Ishma, Y. F., Myrna, R., & Susanti, E. (2025). Evaluation of bureaucratic simplification performance: Institutional, human resources, and administrative practices analysis in achieving good governance in Indonesia. Journal La Sociale. https://doi.org/10.37899/journal-la-sociale.v6i1.1030
- Janumpally, R. K. (2025). The role of natural language processing in graduate medical education: A scoping review. Cureus, 17. https://doi.org/10.7759/cureus.58506
- Jing, Q., Xing, Y., Duan, M. X., Guo, P., Cai, W., Gao, Q., Gao, R., Ji, L., & Lu, J. (2022). Study on the rehabilitation therapist estimation under institutional perspective by applying the workload indicators of staffing needs in the aging context. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.929675
- Jones, R. L., Juve, A. M., Hasan, R., Shuford, A., & Carney, P. (2022). Leveraging existing education innovations to establish a community of practice to promote medical education scholar development. Medical Education Online, 27. https://doi.org/10.1080/10872981.2022.2133587
- Kunjumen, T., Okech, M., Diallo, K., McQuide, P., Zapata, T., & Campbell, J. (2022a). Global experiences in health workforce policy, planning and management using the workload indicators of staffing need (WISN) method, and way forward. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00652-6
- Kunjumen, T., Okech, M., Diallo, K., McQuide, P., Zapata, T., & Campbell, J. (2022b). Global experiences in health workforce policy, planning and management using the Workload Indicators of Staffing Need (WISN) method, and way forward. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00695-9
- Maryadi, R., Shalahuddin, A., Daud, I., & Rosnani, T. (2024). The effect of human resource planning on the performance of police members. Jurnal Ilmiah Manajemen Kesatuan. https://doi.org/10.37641/jimkes.v12i4.2730
- Masruddin, N. P. D., Saharuddin, S., & Hasbi, A. R. (2025). The effect of work discipline and workload on employee performance. Golden Ratio of Human Resource Management. https://doi.org/10.52970/grhrm.v6i1.1581
- Mawaddah, N., Prastya, A., & Bogohanto, B. (2023). Factor analysis in the implementation of early warning system documentation in psychiatric hospitals. The Indonesian Journal of Occupational Safety and Health. https://doi.org/10.20473/ijosh.v12i2.2023.219-226
- Nguyen, T. T. H., Phung, H. T., & Bui, A. T. M. (2021). Applying the workload indicators of staffing needs method in nursing health workforce planning: Evidences from four hospitals in Vietnam. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00647-3
- Prihadi, M. D., Danarahmanto, P. A., & Pratami, J. F. (2021). Analysis of the workload of inpatient medical record data update staff using workload indicator of staffing need method to support work effectiveness in hospital in Bandung. Journal of Business Studies and Management Review, 5(1). https://doi.org/10.22437/jbsmr.v5i1.14671
- Putri, I. F., Fitriani, R. A., Hardjowikarto, D., & Sunimah. (2025). Enhancing employee performance through organization culture, workload, and job engagement. Journal Research of Social Science, Economics, and Management. https://doi.org/10.59141/jrssem.v5i1.912
- Rachman, M. D., & Yen, P.-Y. (2025). The influence of nurse staffing and workload on medication administration errors: A scoping review. Journal of Advanced Nursing. https://doi.org/10.1111/jan.15963
- Razalli, A. R., Kamaruddin, K., Tek, O. E., Teck, W. K., & Daud, N. A. M. (2021). Evaluating teaching workload of academic staff for optimum and effective use of expertise resources. International Journal of Academic Research in Business and Social Sciences, 11. https://doi.org/10.6007/IJARBSS/v11-i9/10974
- Rezaei, H., Haghdoost, A. A., Javar, H. A., Dehnavieh, R., Aramesh, S., Dehgani, N., & Tahmasbi Sisakht, M. (2021). The effect of coronavirus (COVID-19) pandemic on medical sciences education in Iran. Journal of Education and Health Promotion, 10. https://doi.org/10.4103/jehp.jehp_817_20
- Rule, H., & Ducot, L. (2025). Impact of deloading teachers from ancillary services and their performance. Psychology and Education: A Multidisciplinary Journal. https://doi.org/10.5281/zenodo.11025476
- Sahdan, M. N., & Hussain, S. (2022). Workload analysis of administrative staff in faculties and academic centers: A case study in Universiti Malaysia Pahang. International Journal of Industrial Management. https://doi.org/10.15282/ijim.15.1.2022.8998
- Slavin, S., Yaghmour, N. A., Baez-Martinez, A., O’Donovan, C., Panda, M., Carpenter, P., Burt, C., & McLeod, K. K. (2024). Program and institutional coordinator well-being: Results from a national survey. Academic Medicine, 100, 572–577. https://doi.org/10.1097/ACM.0000000000005955
- Souisa, N., Macpal, S. J., & Biay, A. (2025). The influence of workload and motivation on employee performance through job satisfaction. Indonesian Journal Economic Review. https://doi.org/10.59431/ijer.v5i1.509
- Suhenda, A., Sukawan, A., & Muslihah, Y. (2022). Perencanaan kebutuhan tenaga rekam medis dengan metode analisis beban kerja kesehatan di Puskesmas Cihideung Kota Tasikmalaya tahun 2021. Indonesian of Health Information Management Journal (INOHIM). https://doi.org/10.47007/inohim.v10i1.390
- Sulistyowati, D., & Rosa, E. (2023). Workload analysis of registration personnel and medical records: Approach method workload indicators of staffing need. Jurnal Aisyah: Jurnal Ilmu Kesehatan, 8(1). https://doi.org/10.30604/jika.v8is1.1537
- Sun, L., Chen, D., & Xu, J. (2023). Changes in workload of Chinese university undergraduate teaching from the perspective of education quality management. International Journal of Metrology and Quality Engineering. https://doi.org/10.1051/ijmqe/2023012
- Sutoyo, S., Syari’udin, A., Siswanti, Y., & Yulianti, R. (2021). Workload analysis in determining the needs analysis of the number of education personnel at XYZ University Yogyakarta. RSF Conference Series: Business, Management and Social Sciences. https://doi.org/10.31098/bmss.v1i3.322
- Thomas, S., Belurkar, S., Bari, T., & Patil, A. (2024). Unveiling efficiency: A research inquiry into technical staff utilization in South Indian clinical laboratory using workload indicators staffing need (WISN) analysis. F1000Research. https://doi.org/10.12688/f1000research.152755.1
- Yulliswandi, D., Megawati, M., & Nuraini, N. (2022). Nursing personnel needs analysis using the workload indicator staffing needs (WISN) method in installation emergency Datu Beru Hospital Central Aceh. Journal La Medihealtico. https://doi.org/10.37899/journallamedihealtico.v3i4.689
- Zaboli, A., Brigo, F., Brigiari, G., & Turcato, G. (2024). Exploring the variability in triage nursing workload: Insights from a multicentre observational study. Journal of Advanced Nursing. https://doi.org/10.1111/jan.16627
- Zhang, X., Li, C., Yue, C., Jiang, X., Cao, J., & ten Cate, O. (2021). Why clinical training in China should improve: A cross-sectional study of MD graduates. BMC Medical Education, 21. https://doi.org/10.1186/s12909-021-02560-3
References
Al-Dabbagh, S., Sulaiman, H. M., & Abdulkarim, N. A. (2021). Workload assessment of medical doctors at primary health care centers in the Duhok governorate. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00664-2
Alfajri, A., Sutedjo, M. B. D., & Kumala, A. A. (2024a). Workload indicator staffing need (WISN) as a method for analyzing clinic health personnel needs in Surakarta. Media Publikasi Promosi Kesehatan Indonesia, 7(7). https://doi.org/10.56338/mppki.v7i7.5292
Alfajri, A., Sutedjo, M. B. D., & Kumala, A. A. (2024b). Workload indicator staffing need (WISN) as a method for analyzing clinic health personnel needs in Surakarta. Media Publikasi Promosi Kesehatan Indonesia. https://doi.org/10.56338/mppki.v7i7.5292
Al-Gburi, H. A. I., & Musaheb, M. R. (2024). The impact of supportive leadership on work stress: An empirical research in the Ministry of Iraqi Interior. Journal of Economics and Administrative Sciences. https://doi.org/10.33095/jeas.v30i140.2400
Aytona, M. G. C., Politico, M. R., McManus, L., Ronquillo, K., & Okech, M. (2021). Determining staffing standards for primary care services using workload indicators of staffing needs in the Philippines. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00670-4
Bashir, M., Zahra, S. N., & Qaisar, Z. (2024). The gig economy and automation: Implications for human resource management in Pakistan. Inverge Journal of Social Sciences. https://doi.org/10.47631/ijss.2302
Chen, Y., Chan, C. W., Dong, J., Jackson, E. M., Yip, N. H., & Rossetti, S. C. (2024). Beyond order-based nursing workload: A retrospective cohort study in intensive care units. Journal of Nursing Scholarship. https://doi.org/10.1111/jnu.12979
Dimiri, D., Mek, N., Apini, M. T., Ali, T., Pumuye, G. T., Laka, V., Jogo, R., Kari, P., Deki, O., Mollent, O., Luo, D., Maalsen, A., Yapi, K., & Madodo, R. (2022). Estimating staffing requirements using workload indicators of staffing need at Braun District Hospital in Morobe Province, Papua New Guinea. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00677-x
Firasghani, M. A., & Rinawati, R. (2025). Human resource needs assessment in the health sector using workload analysis method: A literature case study. International Journal Administration, Business & Organization. https://doi.org/10.61242/ijabo.25.490
Giotopoulos, K. C., Michalopoulos, D., Vonitsanos, G., Papadopoulos, D., Giannoukou, I., & Sioutas, S. (2024). Dynamic workload management system in the public sector. Information, 15(6), 335. https://doi.org/10.3390/info15060335
Helshinta, N., Pangaribuan, D., & Ginting, C. (2022). Analysis of health personnel needs (paramedic) in handling COVID-19 based on workload using the WISN method at Hospital Royal Prima Medan. International Journal of Research and Review. https://doi.org/10.52403/ijrr.20220259
Ishma, Y. F., Myrna, R., & Susanti, E. (2025). Evaluation of bureaucratic simplification performance: Institutional, human resources, and administrative practices analysis in achieving good governance in Indonesia. Journal La Sociale. https://doi.org/10.37899/journal-la-sociale.v6i1.1030
Janumpally, R. K. (2025). The role of natural language processing in graduate medical education: A scoping review. Cureus, 17. https://doi.org/10.7759/cureus.58506
Jing, Q., Xing, Y., Duan, M. X., Guo, P., Cai, W., Gao, Q., Gao, R., Ji, L., & Lu, J. (2022). Study on the rehabilitation therapist estimation under institutional perspective by applying the workload indicators of staffing needs in the aging context. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.929675
Jones, R. L., Juve, A. M., Hasan, R., Shuford, A., & Carney, P. (2022). Leveraging existing education innovations to establish a community of practice to promote medical education scholar development. Medical Education Online, 27. https://doi.org/10.1080/10872981.2022.2133587
Kunjumen, T., Okech, M., Diallo, K., McQuide, P., Zapata, T., & Campbell, J. (2022a). Global experiences in health workforce policy, planning and management using the workload indicators of staffing need (WISN) method, and way forward. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00652-6
Kunjumen, T., Okech, M., Diallo, K., McQuide, P., Zapata, T., & Campbell, J. (2022b). Global experiences in health workforce policy, planning and management using the Workload Indicators of Staffing Need (WISN) method, and way forward. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00695-9
Maryadi, R., Shalahuddin, A., Daud, I., & Rosnani, T. (2024). The effect of human resource planning on the performance of police members. Jurnal Ilmiah Manajemen Kesatuan. https://doi.org/10.37641/jimkes.v12i4.2730
Masruddin, N. P. D., Saharuddin, S., & Hasbi, A. R. (2025). The effect of work discipline and workload on employee performance. Golden Ratio of Human Resource Management. https://doi.org/10.52970/grhrm.v6i1.1581
Mawaddah, N., Prastya, A., & Bogohanto, B. (2023). Factor analysis in the implementation of early warning system documentation in psychiatric hospitals. The Indonesian Journal of Occupational Safety and Health. https://doi.org/10.20473/ijosh.v12i2.2023.219-226
Nguyen, T. T. H., Phung, H. T., & Bui, A. T. M. (2021). Applying the workload indicators of staffing needs method in nursing health workforce planning: Evidences from four hospitals in Vietnam. Human Resources for Health, 19. https://doi.org/10.1186/s12960-021-00647-3
Prihadi, M. D., Danarahmanto, P. A., & Pratami, J. F. (2021). Analysis of the workload of inpatient medical record data update staff using workload indicator of staffing need method to support work effectiveness in hospital in Bandung. Journal of Business Studies and Management Review, 5(1). https://doi.org/10.22437/jbsmr.v5i1.14671
Putri, I. F., Fitriani, R. A., Hardjowikarto, D., & Sunimah. (2025). Enhancing employee performance through organization culture, workload, and job engagement. Journal Research of Social Science, Economics, and Management. https://doi.org/10.59141/jrssem.v5i1.912
Rachman, M. D., & Yen, P.-Y. (2025). The influence of nurse staffing and workload on medication administration errors: A scoping review. Journal of Advanced Nursing. https://doi.org/10.1111/jan.15963
Razalli, A. R., Kamaruddin, K., Tek, O. E., Teck, W. K., & Daud, N. A. M. (2021). Evaluating teaching workload of academic staff for optimum and effective use of expertise resources. International Journal of Academic Research in Business and Social Sciences, 11. https://doi.org/10.6007/IJARBSS/v11-i9/10974
Rezaei, H., Haghdoost, A. A., Javar, H. A., Dehnavieh, R., Aramesh, S., Dehgani, N., & Tahmasbi Sisakht, M. (2021). The effect of coronavirus (COVID-19) pandemic on medical sciences education in Iran. Journal of Education and Health Promotion, 10. https://doi.org/10.4103/jehp.jehp_817_20
Rule, H., & Ducot, L. (2025). Impact of deloading teachers from ancillary services and their performance. Psychology and Education: A Multidisciplinary Journal. https://doi.org/10.5281/zenodo.11025476
Sahdan, M. N., & Hussain, S. (2022). Workload analysis of administrative staff in faculties and academic centers: A case study in Universiti Malaysia Pahang. International Journal of Industrial Management. https://doi.org/10.15282/ijim.15.1.2022.8998
Slavin, S., Yaghmour, N. A., Baez-Martinez, A., O’Donovan, C., Panda, M., Carpenter, P., Burt, C., & McLeod, K. K. (2024). Program and institutional coordinator well-being: Results from a national survey. Academic Medicine, 100, 572–577. https://doi.org/10.1097/ACM.0000000000005955
Souisa, N., Macpal, S. J., & Biay, A. (2025). The influence of workload and motivation on employee performance through job satisfaction. Indonesian Journal Economic Review. https://doi.org/10.59431/ijer.v5i1.509
Suhenda, A., Sukawan, A., & Muslihah, Y. (2022). Perencanaan kebutuhan tenaga rekam medis dengan metode analisis beban kerja kesehatan di Puskesmas Cihideung Kota Tasikmalaya tahun 2021. Indonesian of Health Information Management Journal (INOHIM). https://doi.org/10.47007/inohim.v10i1.390
Sulistyowati, D., & Rosa, E. (2023). Workload analysis of registration personnel and medical records: Approach method workload indicators of staffing need. Jurnal Aisyah: Jurnal Ilmu Kesehatan, 8(1). https://doi.org/10.30604/jika.v8is1.1537
Sun, L., Chen, D., & Xu, J. (2023). Changes in workload of Chinese university undergraduate teaching from the perspective of education quality management. International Journal of Metrology and Quality Engineering. https://doi.org/10.1051/ijmqe/2023012
Sutoyo, S., Syari’udin, A., Siswanti, Y., & Yulianti, R. (2021). Workload analysis in determining the needs analysis of the number of education personnel at XYZ University Yogyakarta. RSF Conference Series: Business, Management and Social Sciences. https://doi.org/10.31098/bmss.v1i3.322
Thomas, S., Belurkar, S., Bari, T., & Patil, A. (2024). Unveiling efficiency: A research inquiry into technical staff utilization in South Indian clinical laboratory using workload indicators staffing need (WISN) analysis. F1000Research. https://doi.org/10.12688/f1000research.152755.1
Yulliswandi, D., Megawati, M., & Nuraini, N. (2022). Nursing personnel needs analysis using the workload indicator staffing needs (WISN) method in installation emergency Datu Beru Hospital Central Aceh. Journal La Medihealtico. https://doi.org/10.37899/journallamedihealtico.v3i4.689
Zaboli, A., Brigo, F., Brigiari, G., & Turcato, G. (2024). Exploring the variability in triage nursing workload: Insights from a multicentre observational study. Journal of Advanced Nursing. https://doi.org/10.1111/jan.16627
Zhang, X., Li, C., Yue, C., Jiang, X., Cao, J., & ten Cate, O. (2021). Why clinical training in China should improve: A cross-sectional study of MD graduates. BMC Medical Education, 21. https://doi.org/10.1186/s12909-021-02560-3
