OPTIMASI SISTEM LAYANAN ASISTEN RUMAH TANGGA BERBASIS MOBILE DENGAN EVALUASI TECHNOLOGY ACCEPTANCE MODEL

Authors

  • Benny Daniawan Universitas Buddhi Dharma, Indonesia
  • Rafael Daniel Culadi Universitas Buddhi Dharma, Indonesia
  • Aditiya Hermawan Universitas Buddhi Dharma, Indonesia
  • Yo Ceng Giap Universitas Buddhi Dharma, Indonesia

DOI:

https://doi.org/10.30646/tikomsin.v14i1.1096

Keywords:

Household Assistant Services, Mobile Service System, Technology Acceptance Model, User Acceptance, Perceived Usefulness

Abstract

In the contemporary era, individuals increasingly face demanding work schedules that often exceed standard working hours, intensifying challenges in balancing professional and domestic responsibilities. Household assistant services have emerged as a practical solution to support daily household activities. This study aims to design and evaluate a mobile-based household assistant service system that enables efficient interaction between service providers and employers, while enhancing accessibility, streamlining recruitment processes, and improving user experience through digital integration. To evaluate user acceptance, the study adopts the Technology Acceptance Model (TAM), focusing on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), and Behavioral Intention to Use (BITU). Data were collected from 105 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that PEOU significantly influences PU (t = 11.324, p < 0.001), explaining 47.6% of its variance. Moreover, PEOU and PU jointly affect ATU (R² = 0.617), while ATU significantly influences BITU (R² = 0.495). However, PU does not directly affect BITU, indicating that perceived usefulness alone is insufficient to drive user intention without supportive attitudinal factors.

References

A. Siaha Widodo, “Peran Internet dalam Meningkatkan Jumlah Pekerja Lepas di Indonesia,†NYIMAK J. Commun., vol. 3, no. 2, pp. 191–202, 2019.

R. Bugis et al., “Rongo-Rongo Dalam Pemenuhan Kebutuhan Rumah Tangga,†Jispo, vol. 9, no. 2, pp. 135–150, 2019.

R. R. Susilowati, “Perlindungan Hukum Bagi Pekerja Rumah Tangga,†Huk. Dan Din. Masy., vol. 15, no. 2, pp. 1–9, 2018, doi: 10.36356/hdm.v15i2.681.

R. Pratama, “Menyoal Relasi Asisten Rumah Tangga dan Majikan,†ANUVA, vol. 3, no. 3, pp. 241–245, 2019.

A. Nurhadi, “Penerapan Metode Waterfall Dalam Sistem Informasi Penyedia Asisten Rumah Tangga Secara Online,†J. Khatulistiwa Inform., vol. 6, no. 2, pp. 97–106, 2018, doi: 10.31294/khatulistiwa.v6i2.150.

R. Sopandi, A. Christian, D. Kelvin, K. Victorio Sumolang, A. Taufik, and M. Tabrani, “Penerapan Pendekatan Agile dalam Pengembangan Aplikasi CareCrew untuk Menemukan Asisten Rumah Tangga Terpercaya,†Technol. J. Ilm., vol. 15, no. 1, p. 62, 2024, doi: 10.31602/tji.v15i1.13383.

M. F. Alwi, A. Ardiansyah, and A. R. Irawati, “Aplikasi Pencarian Asisten Rumah Tangga ‘Asistenku’ Berbasis Android,†J. Pepadun, vol. 2, no. 2, pp. 237–246, 2021, doi: 10.23960/pepadun.v2i2.63.

M. McCord, “Technology acceptance model,†Handb. Res. Electron. Surv. Meas., pp. 306–308, 2023, doi: 10.4018/978-1-59140-792-8.ch038.

B. A. Stefany, F. M. Wibowo, and C. Wiguna, “Analisis Kepuasan Pengguna Aplikasi Wisata Brebes Dengan Metode Technology Acceptance Model (TAM),†J. Inf. Syst. Informatics, vol. 3, no. 1, pp. 172–184, 2021, doi: 10.33557/journalisi.v3i1.107.

H. A. Alfadda and H. S. Mahdi, “Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM),†J. Psycholinguist. Res., vol. 50, no. 4, pp. 883–900, 2021, doi: 10.1007/s10936-020-09752-1.

I. Ventre and D. Kolbe, “The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective,†J. Int. Consum. Mark., vol. 32, no. 4, pp. 287–299, 2020, doi: 10.1080/08961530.2020.1712293.

A. Tahar, H. A. Riyadh, H. Sofyani, and W. E. Purnomo, “Perceived ease of use, perceived usefulness, perceived security and intention to use e-filing: The role of technology readiness,†J. Asian Financ. Econ. Bus., vol. 7, no. 9, pp. 537–547, 2020, doi: 10.13106/JAFEB.2020.VOL7.NO9.537.

W. M. Al-Rahmi, N. Yahaya, M. M. Alamri, I. Y. Alyoussef, A. M. Al-Rahmi, and Y. Bin Kamin, “Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems,†Interact. Learn. Environ., vol. 29, no. 8, pp. 1380–1392, 2021, doi: 10.1080/10494820.2019.1629599.

C. M. Chao, “Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model,†Front. Psychol., vol. 10, no. JULY, pp. 1–14, 2019, doi: 10.3389/fpsyg.2019.01652.

L. Kennedy-Shaffer, X. Qiu, and W. P. Hanage, “Snowball Sampling Study Design for Serosurveys Early in Disease Outbreaks,†Am. J. Epidemiol., vol. 190, no. 9, pp. 1918–1927, 2021, doi: 10.1093/aje/kwab098.

E. S. Park and M. S. Park, “Factors of the technology acceptance model for construction IT,†Appl. Sci., vol. 10, no. 22, pp. 1–15, 2020, doi: 10.3390/app10228299.

M. Rönkkö and E. Cho, An Updated Guideline for Assessing Discriminant Validity, vol. 25, no. 1. 2022. doi: 10.1177/1094428120968614.

I. Kennedy, “Sample Size Determination in Test-Retest and Cronbach Alpha Reliability Estimates,†Br. J. Contemp. Educ., vol. 2, no. 1, pp. 17–29, 2022, doi: 10.52589/bjce-fy266hk9.

S. A. Salloum, A. Qasim Mohammad Alhamad, M. Al-Emran, A. Abdel Monem, and K. Shaalan, “Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model,†IEEE Access, vol. 7, pp. 128445–128462, 2019, doi: 10.1109/ACCESS.2019.2939467.

Y. Liu and J. Xie, “Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures,†J. Am. Stat. Assoc., vol. 115, no. 529, pp. 393–402, 2020, doi: 10.1080/01621459.2018.1554485.

F. Hilkenmeier, C. Bohndick, T. Bohndick, and J. Hilkenmeier, “Assessing Distinctiveness in Multidimensional Instruments Without Access to Raw Data – A Manifest Fornell-Larcker Criterion,†Front. Psychol., vol. 11, no. March, pp. 1–9, 2020, doi: 10.3389/fpsyg.2020.00223.

W. Lee, C. L. Mulliss, and H.-C. Chiu, “On the standard rounding rule for addition and subtraction,†Chinese J. Phys., vol. 38, no. 1, pp. 36–41, 2000, [Online]. Available: http://www.angelfire.com/oh/cmulliss/rraddsub.pdf

U. Schepsmeier, “A goodness-of-fit test for regular vine copula models,†LECR, vol. 0, no. 0, pp. 1–22, 2017, doi: 10.1080/07474938.2016.1222231.

J. Yuniato, “Titik Persentase Distribusi t,†Http://Junaidichaniago.Wordpress.Com, 2012.

S. P. Saragih, “Desain Sistem Informasi Penyaluran Tenaga Kerja (studi kasus: PT. xyz Penyalur Asisten Rumah Tangga),†J. Desain Dan Anal. Teknol., vol. 3, no. 2, pp. 163–168, 2024, doi: 10.58520/jddat.v3i2.65.

R. Rasman, P. Purnawansayah, and H. Azis, “Perancangan Aplikasi Penyedia Jasa Asisten Rumah Tangga Berbasis Web,†Bul. Sist. Inf. dan Teknol. Islam, vol. 2, no. 1, pp. 6–11, 2021, doi: 10.33096/busiti.v2i1.697.

J. Lee and S. P. Saragih, “Computer Based Information System Journal Rancang Bangun Penyaluran Jasa Asisten Rumah Tangga Be8rbasis Web Pada Pt Mangga Raya Makmur,†Cbis J., vol. 12, no. 01, pp. 84–99, 2024, [Online]. Available: http://ejournal.upbatam.ac.id/index.php/cbishttp://ejournal.upbatam.ac.id/index.php/cbis

B. Daniawan and I. Darmawan, “Singme Music Entertainment Services Marketing Information System with Content-Based Filtering Method and TAM Testing,†Tech-E, vol. 7, no. 1, pp. 1–9, 2023, doi: 10.31253/te.v7i1.1500.

M. Rohman et al., “Sistem Informasi Pencatatan Meter Air Berbasis Web,†vol. 9, no. 1, pp. 39–45, 2025.

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Published

2026-04-29

Issue

Vol. 14 No. 1 (2026): Jurnal Tikomsin, Vol 14, No.1, April 2026

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