Faktor Internal yang Mempengaruhi Efektivitas Pengelolaan Piutang Usaha di Perusahaan Air Minum Daerah
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Abstract
Accounts receivable management is a critical determinant of financial sustainability in regional water utilities because delayed customer payments directly restrict cash flow, maintenance capacity, and service continuity. This study examines how customer bill-payment policy, billing procedures, receivables control and monitoring, and receivables information-system utilization affect the effectiveness of accounts receivable management at PT. Air Minum Jayapura Robongholo Nanwani (Perseroda), Papua, Indonesia. A quantitative associative design was applied using primary survey data from 57 valid employee respondents selected from finance, billing, customer administration, supervision, and enforcement units. Data were analyzed using validity and reliability testing, classical assumption tests, multiple linear regression, t-tests, F-tests, and coefficient-of-determination analysis in SPSS 22. The findings show that receivables control and monitoring had a positive and significant effect on receivables-management effectiveness (B = 0.391; t = 2.351; p = 0.023), whereas customer bill-payment policy (p = 0.054), billing procedures (p = 0.452), and information-system utilization (p = 0.127) were not significant partial predictors. Simultaneously, the four variables significantly explained receivables-management effectiveness (F = 5.149; p = 0.001), with R² = 0.284. The study demonstrates that formal policy, procedures, and digital systems require strong monitoring integration to produce measurable receivables outcomes in public water utilities.
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References
Abbott, M., & Cohen, B. (2009). Productivity and Efficiency in the Water Industry. Utilities Policy, 17(3), 233–244. https://doi.org/10.1016/j.jup.2009.05.001
Aktas, N., Croci, E., & Petmezas, D. (2015). Is working capital management value-enhancing? Evidence from firm performance and investments. Journal of Corporate Finance, 30, 98–113. https://doi.org/https://doi.org/10.1016/j.jcorpfin.2014.12.008
Ashbaugh‐Skaife, H., Collins, D. W., Kinney Jr., W. R., & LaFond, R. (2008). The Effect of SOX Internal Control Deficiencies and Their Remediation on Accrual Quality. The Accounting Review, 83(1), 217–250. https://doi.org/10.2308/accr.2008.83.1.217
Baños-Caballero, S., García-Teruel, P. J., & Martínez-Solano, P. (2012). How does working capital management affect the profitability of Spanish SMEs? Small Business Economics, 39(2), 517–529. https://doi.org/10.1007/s11187-011-9317-8
Barbosa, A., Medeiros, F. A. S. d., & Simões, P. (2024). Governance and Efficiency in Brazilian Water Utilities: An Analysis Based on Revenue Collection Efficiency. Water, 16(17), 2483. https://doi.org/https://doi.org/10.3390/w16172483
Barrot, J.-N. (2016). Trade Credit and Industry Dynamics: Evidence from Trucking Firms. The Journal of Finance, 71(5), 1975–2016. https://doi.org/https://doi.org/10.1111/jofi.12371
Bedard, J. C., & Graham, L. (2011). Detection and Severity Classifications of Sarbanes-Oxley Section 404 Internal Control Deficiencies. The Accounting Review, 86(3), 825–855. https://doi.org/10.2308/accr.00000036
Berg, S., & Marques, R. (2011). Quantitative Studies of Water and Sanitation Utilities: A Literature Survey. Water Policy, 13(5), 591–606. https://doi.org/10.2166/wp.2011.041
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital Business Strategy: Toward a Next Generation of Insights. Management Information Systems Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
Bonett, D. G., & Wright, T. A. (2015). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), 3–15. https://doi.org/https://doi.org/10.1002/job.1960
Breusch, T. S., & Pagan, A. R. (1979). A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica, 47(5), 1287–1294. https://doi.org/10.2307/1911963
Cohen, J. (1992). A Power Primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Cuñat, V. (2007). Trade Credit: Suppliers as Debt Collectors and Insurance Providers. Review of Financial Studies, 20(2), 491–527. https://doi.org/10.2139/ssrn.423501
Daniel, I., Ajami, N. K., Castelletti, A., Savic, D., Stewart, R. A., & Cominola, A. (2023). A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies. Npj Clean Water, 6, 51. https://doi.org/10.1038/s41545-023-00265-7
Delone, W. H., & McLean., E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Deloof, M. (2003). Does Working Capital Management Affect Profitability of Belgian Firms? Journal of Business Finance & Accounting, 30(3–4), 573–588. https://doi.org/https://doi.org/10.1111/1468-5957.00008
Doyle, J., Ge, W., & McVay, S. (2007). Determinants of weaknesses in internal control over financial reporting. Journal of Accounting and Economics, 44(1), 193–223. https://doi.org/https://doi.org/10.1016/j.jacceco.2006.10.003
Enqvist, J., Graham, M., & Nikkinen, J. (2014). The impact of working capital management on firm profitability in different business cycles: Evidence from Finland. Research in International Business and Finance, 32, 36–49. https://doi.org/https://doi.org/10.1016/j.ribaf.2014.03.005
Ersahin, N., Giannetti, M., & Huang, R. (2024). Trade credit and the stability of supply chains. Journal of Financial Economics, 155, 103830. https://doi.org/https://doi.org/10.1016/j.jfineco.2024.103830
Fabbri, D., & Klapper, L. F. (2016). Bargaining power and trade credit. Journal of Corporate Finance, 41, 66–80. https://doi.org/https://doi.org/10.1016/j.jcorpfin.2016.07.001
Ferrando, A., & Mulier, K. (2013). Do firms use the trade credit channel to manage growth? Journal of Banking & Finance, 37(8), 3035–3046. https://doi.org/https://doi.org/10.1016/j.jbankfin.2013.02.013
Fitriyah, H., & Muhlishoh, S. U. (2026). Internal Control Practices for Cash and Receivable Management: Praktik Pengendalian Internal untuk Pengelolaan Kas dan Piutang. Indonesian Journal of Law and Economics Review, 20(3). https://doi.org/10.21070/ijler.v20i3.1501
García-Teruel, P. J., & Martínez-Solano, P. (2010). A dynamic perspective on the determinants of accounts payable. Review of Quantitative Finance and Accounting, 34(4), 439–457. https://doi.org/10.1007/s11156-009-0124-0
Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. The Journal of Strategic Information Systems, 19(3), 207–228. https://doi.org/https://doi.org/10.1016/j.jsis.2010.05.001
Hammersley, J. S., Myers, L. A., & Shakespeare, C. (2008). Market reactions to the disclosure of internal control weaknesses and to the characteristics of those weaknesses under section 302 of the Sarbanes Oxley Act of 2002. Review of Accounting Studies, 13(1), 141–165. https://doi.org/10.1007/s11142-007-9046-z
Hasanah, U., Sari, I., & Zhafiraah, N. R. (2024). Application of Information Systems, Internal Control, Risk Assessment, and Internal Audit for Collection Effectiveness of Accounts Receivable. Research of Accounting and Governance, 2(2), 61–71. https://doi.org/10.58777/rag.v2i2.141
Hayes, A. F., & Cai, L. (2007). Using heteroskedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation. Behavior Research Methods, 39(4), 709–722. https://doi.org/10.3758/BF03192961
Hill, M. D., Kelly, G. W., & Highfield, M. J. (2010). Net Operating Working Capital Behavior: A First Look. Financial Management, 39(2), 783–805. https://doi.org/https://doi.org/10.1111/j.1755-053X.2010.01092.x
Jaworski, J., & Czerwonka, L. (2024). Profitability and working capital management: a meta-study in macroeconomic and institutional conditions. DECISION, 51(1), 123–145. https://doi.org/10.1007/s40622-023-00372-x
Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360. https://doi.org/https://doi.org/10.1016/0304-405X(76)90026-X
Klapper, L., Laeven, L., & Rajan, R. (2012). Trade Credit Contracts. The Review of Financial Studies, 25(3), 838–867. https://doi.org/10.1093/rfs/hhr122
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.
Lutfi, A. (2023). Factors affecting the success of accounting information system from the lens of DeLone and McLean IS model. International Journal of Information Management Data Insights, 3(2), 100202. https://doi.org/https://doi.org/10.1016/j.jjimei.2023.100202
Maziotis, A., Sala-Garrido, R., Mocholi-Arce, M., & Molinos-Senante, M. (2025). Performance assessment of water utilities: a comprehensive framework integrating economic and service quality. Ecological Indicators, 178, 113860. https://doi.org/https://doi.org/10.1016/j.ecolind.2025.113860
Mian, S. L., & Smith Jr, C. W. (1992). Accounts Receivable Management Policy: Theory and Evidence. The Journal of Finance, 47(1), 169–200. https://doi.org/https://doi.org/10.1111/j.1540-6261.1992.tb03982.x
Murrar, A., Paz, V., Yerger, D., & Batra, M. (2024). Enhancing financial efficiency and receivable collection in the water sector: Insights from structural equation modeling. Utilities Policy, 87, 101723. https://doi.org/https://doi.org/10.1016/j.jup.2024.101723
Ng, C. K., Smith, J. K., & Smith, R. L. (1999). Evidence on the Determinants of Credit Terms Used in Interfirm Trade. The Journal of Finance, 54(3), 1109–1129. https://doi.org/https://doi.org/10.1111/0022-1082.00138
Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
Nurbaeti, E., Hambani, S., Jamaludin Aziz, A., & Anwar, S. (2023). Sistem Informasi Akuntansi dan Pengendalian Internal: Kajian Pada Efektivitas Pengelolaan Piutang. Jurnal Akunida, 9(2), 128–136. https://doi.org/10.30997/jakd.v9i2.10329
O’brien, R. M. (2007). A Caution Regarding Rules of Thumb for Variance Inflation Factors. Quality & Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135-006-9018-6
Oktavianita, N., Lastianti, S., & Pratiwi, Y. (2022). Analysis of Application of Accounting Information Systems Receivable Billing In Increasing The Effectiveness of Cash Receiving In The Company. Journal of Economic, Accounting and Management Science (JEAMS), 4(1), 44–65. https://doi.org/10.55173/jeams.v5i1.37
Petersen, M. A., & Rajan, R. G. (1997). Trade Credit: Theories and Evidence. The Review of Financial Studies, 10(3), 661–691. https://doi.org/10.1093/rfs/10.3.661
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253. https://doi.org/https://doi.org/10.1287/isre.8.3.240
Seifert, D., Seifert, R. W., & Protopappa-Sieke, M. (2013). A review of trade credit literature: Opportunities for research in operations. European Journal of Operational Research, 231(2), 245–256. https://doi.org/https://doi.org/10.1016/j.ejor.2013.03.016
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality. Biometrika, 52(3–4), 591–611. https://doi.org/https://doi.org/10.1093/biomet/52.3-4.591
Sullivan, G. M., & Artino Jr, A. R. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/https://doi.org/10.4300/JGME-5-4-18
Tauringana, V., & Adjapong Afrifa, G. (2013). The relative importance of working capital management and its components to SMEs’ profitability. Journal of Small Business and Enterprise Development, 20(3), 453–469. https://doi.org/10.1108/JSBED-12-2011-0029
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Tran, H., Abbott, M., & Jin Yap, C. (2017). How does working capital management affect the profitability of Vietnamese small- and medium-sized enterprises? Journal of Small Business and Enterprise Development, 24(1), 2–11. https://doi.org/10.1108/JSBED-05-2016-0070
Ukaegbu, B. (2014). The significance of working capital management in determining firm profitability: Evidence from developing economies in Africa. Research in International Business and Finance, 31, 1–16. https://doi.org/https://doi.org/10.1016/j.ribaf.2013.11.005
Van Deventer, I. A. (2023). A study of trade credit: Best practices for managing accounts receivable. International Journal of Accounting Research (IJAR), 8(2), 53–58. https://doi.org/10.65453/ijar.v8i2.1195
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/https://doi.org/10.1016/j.jsis.2019.01.003
Wardani, I. K., & Syarif, D. (2023). The Effect of Accounts Receivable Accounting Information System, Internal Control System and Service Quality on Receivables Collectability In BPJS Ketenagakerjaan Bandung Lodaya. Journal of Accounting Inaba, 2(2), 74–87. https://doi.org/10.56956/jai.v2i02.266
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA Statement on p-Values: Context, Process, and Purpose. The American Statistician, 70(2), 129–133. https://doi.org/10.1080/00031305.2016.1154108
White, H. (1980). A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934
Wixom, B. H., & Peter A. Todd. (2005). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/https://doi.org/10.1287/isre.1050.0042
Worthington, A. C. (2014). A review of frontier approaches to efficiency and productivity measurement in urban water utilities. Urban Water Journal, 11(1), 55–73. https://doi.org/10.1080/1573062X.2013.765488
Zega, M. M. S., Tri Hartati Sukartini Hulu, Sophia Molinda Kakisina, & Noviza Asni Waruwu. (2024). Analisis Efektivitas Pengelolaan Piutang Pelanggan Di PDAM Tirta Umbu Kabupaten Nias. Jurnal Ekonomi Bisnis, Manajemen Dan Akuntansi (Jebma), 4(3), 1665–1671. https://doi.org/10.47709/jebma.v4i3.4773