EVALUASI PENERIMAAN SITUS WEB FAKULTAS ILMU KOMPUTER MENGGUNAKAN TAM DAN EUCS

  • Zatin Niqotaini UPN Veteran Jakarta
  • Ati Zaidiah UPN Veteran Jakarta
  • Ika Nurlaili Isnainiyah UPN Veteran Jakarta
DOI: https://doi.org/10.31000/jika.v8i3.11935

Abstract

Internet tidak hanya berfungsi sebagai sumber informasi, tetapi juga sebagai sarana untuk pendidikan. Website adalah salah satu media yang dapat mendukung penyediaan informasi dan materi pembelajaran. Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jakarta berkomitmen untuk mencapai hasil terbaik dengan mengadopsi teknologi baru. Situs web di https://new-fik.upnvj.ac.id. dirancang untuk memudahkan interaksi dosen, mahasiswa, dan masyarakat umum dapat mengakses informasi terkait kegiatan di Fakultas Ilmu Komputer. Terdapat beberapa kendala seperti lambatnya waktu muat halaman, tata letak konten, dan ketidakkonsistenan tampilan antar konten. Hal ini menyebabkan ketidakpuasan pengguna terhadap kinerja situs web FIK, sehingga mereka enggan untuk mengaksesnya kembali. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang mempengaruhi penggunaan situs web oleh mahasiswa, menganalisis dampaknya sebagai media informasi, dan memberikan rekomendasi untuk meningkatkan penerimaan situs web FIK sebagai media informasi. Penelitian ini melibatkan mahasiswa Fakultas Ilmu Komputer sebagai subjek penelitian dengan populasi sebanyak 1642 mahasiswa dan sampel sebanyak 322 mahasiswa yang diambil menggunakan rumus Slovin. Pada pengumpulan data menggunakan metode kuantitatif lalu dianalisis dengan pendekatan Technology Acceptance Model (TAM) dan End User Computing Satisfaction (EUCS) sebagai kerangka kerja, serta diukur dengan SmartPLS. Hasil penelitian ini menunjukkan bahwa model TAM dan EUCS dapat menjelaskan faktor-faktor yang mempengaruhi situs web FIK, dimana pengaruh EA terhadap ATU adalah sebesar 7,025%; AC terhadap ATU sebesar 2,994%; PU terhadap ATU sebesar 2,026%; TL terhadap ATU sebesar 2,621%; dan PEOU terhadap PU sebesar 44,576%.

Author Biography

Zatin Niqotaini, UPN Veteran Jakarta
Fakultas Ilmu Komputer

References

Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102(June 2019), 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Andriyani, Y., Firyadi, R., Mahdiyah, E., Fitriansyah, A., Aminuddin, A., Meitarice, S., & Niqotaini, Z. (2023). Improving University Community Service Communication with Kukerti’s Fuzzy String Matching Chatbot. 2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023, 398–403. https://doi.org/10.1109/ICIMCIS60089.2023.10348968

Bhasarie, H. A., Rokhmawati, R. I., & Az-Zahra, H. M. (2021). Analisis Faktor-Faktor yang Memengaruhi Penerimaan Teknologi Menggunakan Kuesioner Technology Acceptance Model (TAM) pada E-Learning Google Classroom di SMK Negeri 2 Kupang. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 5(7), 2871–2876.

Isa, M., Mardalis, A., & Mangifera, L. (2018). Analisis Keputusan Konsumen Dalam Melakukan Pembelian Makanan dan Minuman di Warung Hik. Jurnal Manajemen Dayasaing, 20(1), 44–51.

Masitah, K. N. M. N., & Ilhamsyah, I. (2020). Evaluasi Kepuasan Pengguna Siakad Universitas Tanjungpura Menggunakan Integrasi Technology Acceptance Model (Tam) Dan End-User Computing Satisfaction (Eucs). Coding Jurnal Komputer Dan Aplikasi, 8(2).

Niqotaini, Z. (2021a). Analisis Penerimaan Dan Penggunaan Media Pembelajaran Augmented Reality Dengan Menggunakan Model Utaut-2 (Studi Kasus : Smp Dan Sma Mutiara Bunda Bandung). Technologia: Jurnal Ilmiah, 12(1), 4.

Niqotaini, Z. (2021b). Analisis Penerimaan Google Classroom Menggunakan Pendekatan Technology Acceptance Model (TAM) Dan End-User Computing Satisfaction (EUCS) (Studi Kasus: Universitas Informatika Dan Bisnis Indonesia). Sistemasi, 10(3), 637.

Niqotaini, Z. (2023a). Pelatihan Microsoft Office kepada Siswa SMKS Mandiri Bojonggede Bogor. Jurnal Abdimas Kartika Wijayakusuma, 4(2), 160–165.

Niqotaini, Z. (2023b). Penerapan Dan Perbandingan Metode Ahp Dan Topsis Untuk Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik. Technologia : Jurnal Ilmiah, 14(2), 140.

Niqotaini, Z. (2023c). Sistem Pendukung Keputusan Penentuan Kualitas Kain Menggunakan Metode Analytic Hierarchy Process (Ahp) Dan Profile Matching (Pm). JSR : Jaringan Sistem Informasi Robotik, 7(1), 7–12. https://doi.org/10.58486/jsr.v7i1.202

Niqotaini, Z., Arifuddin, N. A., & Rosmawarni, N. (2023). Pelatihan Microsoft Office Bagi Siswa Untuk. 6, 2423–2429.

Niqotaini, Z., Yulistiawan, B. S., Gusti, K. W., Zaidiah, A., & Parama, T. (2024). Analisis dan Perancangan Aplikasi Fathforce Starter Kit Pro di PT . Inovasi Media Menggunakan Framework Laravel. 7(1), 80–89.

Pibriana, D., & Fitriyani, L. (2022). Penggunaan Metode EUCS Untuk Menganalisis Kepuasan Pengguna E-learning di MTs N 2 Kota Palembang. Jurnal Teknologi Sistem Informasi, 3(1), 81–95.

Putra Pratama, L., Pratama, D., & Teguh, R. (2023). Analisis Kepuasan Pengguna Aplikasi Absen Di Institusi XYZ Menggunakan Metode End User Computing Satisfaction (EUCS) User Satisfaction Analysis Of Absent Application in XYZ Institutions Using End User Computing Satisfaction (EUCS) Method. Jtsi, 4(1), 63–74.

Rahman, A. S., Ellesia, N., Lismiatun, L., Azis, A., & Rahim, E. (2021). Pemanfaatan Teknologi Dalam Memotivasi Proses Kbm Yang Kreatif Dan Inovatif Kepada Siswa-Siswi Smk Muhammadiyah Parakan Pamulang Tangerang Selatan. Jurnal Lokabmas Kreatif : Loyalitas Kreatifitas Abdi Masyarakat Kreatif, 2(1), 48.

Sukma, E. L., Rachmadi, A., & Wardani, N. H. (2020). Analisis Pengaruh Perceived Usefulness, Perceived Ease Of Use, Behavioral Intention To Use, Terhadap Actual System Use Dalam Menggunakan Sistem Esensus Pada AJB Bumiputera 1912 Kantor Cabang Wlingi. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 4(9), 2753–2761. http://j-ptiik.ub.ac.id

Vernanda Dwi, Zatin Niqotaini, Susilawati, & Azhis Sholeh Buchori. (2023). 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS). The Innovation Diffusion Theory for Analysis theDigitalization of “Rasa Alami†MSMEs at SubangRegency. 653–658.

Published
2024-07-31
Issue
Vol. 8 No. 3 (2024): JIKA (Jurnal Informatika)
Section
Articles

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