Pengembangan Model Berbasis Ordinary Least Square untuk Prediksi Pengaruh Usabilitas Aplikasi iPusnas Terhadap Loyalitas Penggunanya

Syifaun Nafisah; Nazul Effendy

doi:10.24246/aiti.v20i1.16-31

Authors

Syifaun Nafisah Prodi Ilmu Perpustakaan UIN Sunan Kalijaga Yogyakarta
Nazul Effendy Intelligent and Embedded System Research Group, Departmen Teknik Nuklir dan Teknik Fisika, Fakultas Teknik, Universitas Gadjah Mada https://orcid.org/0000-0002-1276-4564

DOI:

https://doi.org/10.24246/aiti.v20i1.16-31

Keywords:

usability, loyalty, iPusnas application, OLS estimator

Abstract

iPusnas is a digital library application owned by the National Library of Indonesia that provides free e-book lending services for all Indonesian people. This application requires an evaluation to find out how useful it is for users. In addition, many sources of information can be accessed by the public; further research is needed to determine the loyalty of iPusnas users. This research is a quantitative descriptive study with a regression approach carried out on 384 users. The measurement of usability level uses indicators of Effectiveness, Efficiency, Satisfaction, and Learnability by calculating the percentage. The development of the predictor model uses Ordinary Least Square (OLS) Estimation based on Linear Regression. Based on field data analysis, the usability level of the application is 73.66%, while the level of loyalty to its use is 56.26%. This data shows a correlation coefficient of 0.038; it offers a strong influence and has a linear direction. The OLS-based estimation method produces a predictor model equation of Y = 2.833 + 0.05X with a significance level of 0.000. The coefficient confirms the field findings that the usefulness of the iPusnas application will affect user loyalty in utilizing the application as a source of information.

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References

“Perpustakaan Nasional Republik Indonesia.” Accessed: Jul. 22, 2022. [Online]. Available: https://www.perpusnas.go.id/news-detail.php?lang=id&id=210915050429XNvgxw2RDs

“Pengguna Aplikasi iPusnas Naik 3 Kali Lipat,” Republika Online, Jul. 09, 2020. https://republika.co.id/share/qd7et4425 (accessed Jul. 22, 2022).

M. A. Prastiwi and J. Jumino, “Efektivitas Aplikasi Ipusnas Sebagai Sarana Temu Balik Informasi Elektronik Perpustakaan Nasional Republik Indonesia,” J. Ilmu Perpust., vol. 7, no. 4, Art. no. 4, Oct. 2018.

F. Fauzan and S. A. Suwanto, “Analisis Pemanfaatan Aplikasi Ipusnas Berbasis Android Di Perpustakaan Nasional Republik Indonesia,” J. Ilmu Perpust., vol. 7, no. 4, Art. no. 4, Oct. 2018.

C. Chan, J. Gu, and C. Lei, “Redesigning subject guides with usability testing: a case study,” J. Web Librariansh., vol. 13, no. 3, pp. 260–279, Jul. 2019, doi: 10.1080/19322909.2019.1638337.

H. M. P. Simarmata et al., Manajemen Perilaku Konsumen dan Loyalitas. Yayasan Kita Menulis, 2021.

G. Nemeth and E. Fitriyani, “Analisis Perbandingan Loyalitas Konsumen Blackberry Sebelum Dan Sesudah Adanya Bbm for Android, Dan Faktor-Faktor Yang Mempengaruhinya,” J. Ilm. Manaj. Dan Bisnis, vol. 1, no. 1, p. 96850, 2015, doi: 10.22441/jimb.v1i1.560.

A. A. R. P. Sari and N. N. K. Yasa, Kepercayaan pelanggan di antara hubungan citra perusahaan dan kewajaran harga dengan loyalitas pelanggan mapemall.com. Penerbit Lakeisha, 2020.

Y. Nurendah and M. Mulyana, “Analisis Pengaruh Kualitas Pelayanan Perpustakaan Terhadap Kepuasan Dan Hubungannya Dengan Loyalitas Mahasiswa,” J. Ilm. Manaj. Kesatuan, vol. 1, no. 1, Art. no. 1, Apr. 2013, doi: 10.37641/jimkes.v1i1.258.

N. Effendy, E. D. Kurniawan, K. Dwiantoro, A. Arif, and N. Muddin, “The Prediction of Oxygen Content of the Flue Gas in a Gas-Fired Boiler System Using Neural Networks and Random Forest,” IAES Int. J. Artif. Intell. IJ-AI, vol. 11, no. 3, pp. 923–929, 2022.

S. N. Sembodo, N. Effendy, K. Dwiantoro, and N. Muddin, “Radial basis network estimator of oxygen content in the flue gas of debutanizer reboiler,” Int. J. Electr. Comput. Eng. IJECE, vol. 12, no. 3, pp. 3044–3050, 2022, doi: 10.11591/ijece.v12i3.pp3044-3050.

N. Effendy, N. C. Wachidah, B. Achmad, P. Jiwandono, and M. Subekti, “Power estimation of G.A. Siwabessy Multi-Purpose Reactor at start-up condition using artificial neural network with input variation,” in 2016 2nd International Conference on Science and Technology-Computer (ICST), 2016, pp. 133–138.

N. Effendy and S. Nafisah, “Voice Biometric System: The Identification of the Severity of Cerebral Palsy using Mel-Frequencies Stochastics Approach,” Int. J. Integr. Eng., vol. 11, Sep. 2019, doi: 10.30880/ijie.2019.11.03.020.

N. Effendy, K. Shinoda, S. Furui, and S. Jitapunkul, “Automatic recognition of Indonesian declarative questions and statements using polynomial coefficients of the pitch contours,” Acoust. Sci. Technol., vol. 30, pp. 249–256, Jul. 2009, doi: 10.1250/ast.30.249.

N. Effendy, E. Maneenoi, P. Charnvivit, and S. Jitapunkul, “Intonation recognition for indonesian speech based on fujisaki model.,” Jeju Island, Korea, 2004.

N. Effendy, S. Subagja, and A. Faisal, “Prediksi penyakit jantung koroner (PJK) berdasarkan faktor risiko menggunakan jaringan syaraf tiruan backpropagation,” in Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2008, vol. 1, pp. E19-24.

L. Tamara, “Pengaruh Kualitas Layanan terhadap Kepuasan dan Loyalitas Pemustaka di Perpustakaan Nasional Republik Indonesia,” 2014, Accessed: Jul. 25, 2022. [Online]. Available: http://repository.ipb.ac.id/handle/123456789/72897

M. Maryatun, “Pemanfaatan Buku Teks Elektronik Di Perpustakaan Fakultas Ekonomika Dan Bisnis Universitas Gadjah Mada,” Lentera Pustaka J. Kaji. Ilmu Perpust. Inf. Dan Kearsipan, vol. 6, no. 2, pp. 77–88, Dec. 2020.

H. Wicaksono, “Pemanfaatan E-Journal Oleh Mahasiswa Pada Perpustakaan Perguruan Tinggi Di Jakarta,” Lentera Pustaka J. Kaji. Ilmu Perpust. Inf. Dan Kearsipan, vol. 4, no. 2, pp. 67–78, Dec. 2018.

E. Susanti, A. Rasyid, and Nurjanah, “Analisis Usability Terhadap Kepuasan Dan Loyalitas Website,” J. Gema Pustak., vol. 9, no. 1, Art. no. 1, Jul. 2021.

A. D. Prayogo and M. Sutisna, “Pengaruh Kualitas Website (webqual 4.0) Terhadap Penggunaan Kembali,” J. Ris. Bisnis Dan Investasi, vol. 3, no. 2, Art. no. 2, 2017, doi: 10.35313/jrbi.v3i2.932.

M. Thixman and K. G. Tileng, “Analisis pengaruh usability, reputasi dan keamanan terhadap kepercayaan masyarakat dalam bertransaksi menggunakan e-money di indonesia,” AITI, vol. 13, no. 1, Art. no. 1, Feb. 2016.

M. A. Putri and K. G. Tileng, “Analisis Kualitas Website Badan Pusat Statistik (bps) Menggunakan Metode Webqual 4.0 Dan Importance – Performance Analysis (ipa),” AITI, vol. 18, no. 1, Art. no. 1, Sep. 2021, doi: 10.24246/aiti.v18i1.69-87.

Y. Andre and K. G. Tileng, “Analisis Kualitas Website Perpustakaan Universitas Ciputra Surabaya Menggunakan Metode Webqual 4.0 dan Importance-Performance Analysis (IPA),” AITI J. Teknol. Inf., vol. 16, no. 1, pp. 49–64, 2019.

M. H. Siregar et al., Metodologi Penelitian Kesehatan. Yayasan Penerbit Muhammad Zaini, 2022.

S. Riyanto and A. A. Hatmawan, Metode Riset Penelitian Kuantitatif Penelitian Di Bidang Manajemen, Teknik, Pendidikan Dan Eksperimen. Deepublish, 2020.

M. Marhawati et al., Statistika Terapan. Penerbit Tahta Media Group, 2022.

T. Cahyono, Statistika Terapan & Indikator Kesehatan. Deepublish, 2018.

W. L. Heffen, Kapita Selekta KF Doktor: Melintasi Tapal Batas Keilmuan. PT Penerbit IPB Press, 2020.

R. Rismawati and M. Mattalata, Evaluasi Kinerja : Penilaian Kinerja Atas Dasar Prestasi Kerja Berorientasi Kedepan. Celebes Media Perkasa, 2018.

U. Khasanah, Analisis Regresi. UAD Press, 2021.

R. Kurniawan, Analisis Regresi. Prenada Media, 2016.

A. Ansofino, J. Jolianis, Y. Yolamalinda, and H. Arfilindo, Buku Ajar Ekonometrika. Deepublish, 2016.

Asnidar, Buku ajar statistik deskriptif: ekonomi dan bisnis. CV. Pilar Nusantara, 2019.

R. Yulius, M. F. A. Nasrullah, and A. H. Thohari, “Analisis Usability Pada Aplikasi Amboo Mothercare Menggunakan System Usability Scale,” J. Cakrawala Ilm., vol. 1, no. 10, Art. no. 10, Jun. 2022.

W. Handiwidjojo and L. Ernawati, “Pengukuran Tingkat Ketergunaan (usability) Sistem Informasi Keuangan Studi Kasus: Duta Wacana Internal Transaction (duwit),” . . ., vol. 02, no. 01, p. 7, 2016.

D. A. Fatah, “Evaluasi Usability Dan Perbaikan Desain Aplikasi Mobile Menggunakan Usability Testing Dengan Pendekatan Human-Centered Design (hcd),” Rekayasa, vol. 13, no. 2, pp. 130–143, Aug. 2020, doi: 10.21107/rekayasa.v13i2.6584.

S. E. C. Wijaya and S. S. Andreas Widjaja, “Prediksi Jumlah Mahasiswa Yang Masuk Ke Universitas Kristen Maranatha Menggunakan Regresi Linier,” J. STRATEGI - J. Maranatha, vol. 4, no. 1, Art. no. 1, May 2022.

R. Yuliyani, “Penerapan Model Pembelajaran Pencapaian Konsep (mppk) Untuk Materi Segitiga,” J. Theorems, vol. 5, no. 2, pp. 212–220, 2021, doi: 10.31949/th.v5i2.2676.

F. Yudiaatmaja, Analisis Regresi dengan Menggunakan Aplikasi Komputer Statistik. Gramedia Pustaka Utama, 2013.

S. Nafisah, “Analisis Kinerja Logika Boolean Untuk Pencarian Informasi Pada Online Public Access Catalog (opac) Perpustakaan,” AITI, vol. 19, no. 1, Art. no. 1, Jul. 2022, doi: 10.24246/aiti.v19i1.48-66.

T. Prabowo, “Perbandingan Opac Perpustakaan Universitas Indonesia Dan National University of Singapore Library,” Visi Pustaka, vol. 18, Dec. 2016.