Evaluating A Library Automation System Application in Senayan Library Management System (Slims): The Human Organization Technology (HOT) FIT Model in Indonesia

Rahyadi, Irmawan; Dungcik, Masyhur; Santoso, Budhi; Novianti, Ike; Murfianti, Fitri; Zakirah, Tamimi

doi:10.1109/iceeie52663.2021.9616691

Cited by 3 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of the correlation test on each variable of the HOT-Fit Model as a whole show a strong and very strong relationship. The results of this research are in line with Krisbiantoro et al (2015); Rahyadi et al (2021); Kadarsih & Arafat (2016); Haq & Samani (2022);and Pamungkas (2019). In these studies, the correlation between the elements of the HOT-Fit Model both shows strong and very strong relationships.…”

Section: Discussionsupporting

confidence: 90%

Digital library evaluation using the Human-Organization-Technology Fit Model

Siswantoro

2023

Daluang: Journal of Library and Information Science

View full text Add to dashboard Cite

Purpose. This research aims to evaluate the Rumah Ilmu website which is used as digital library media at Universitas Negeri Semarang using the Human-Organization-Technology-Fit (HOT-Fit) Model.Methodology. The method used is clause associative which functions to test the relationship between variables. The sampling technique used simple random sampling and the sample size was 62 respondents. The data collection technique uses a questionnaire distributed via Google Forms. The data analysis technique with correlation analysis.Results and discussion. The results of the validity and reliability tests show that all question items are declared valid. The results of the correlation test show that overall the relationship between the three elements in the HOT-Fit Model is in the strong and very strong categories.Conclusions. The research results concluded that the significance value of the HOT and net benefit shows a value of 0.00 5% with a correlation coefficient of 0.878. This indicated that the Rumah Ilmu website in supporting digital libraries was quite good. However, improving the quality of the system must continue to be carried out in the future so that it can provide wider benefits to users.

show abstract

Section: Discussionsupporting

confidence: 90%

Digital library evaluation using the Human-Organization-Technology Fit Model

Siswantoro

2023

Daluang: Journal of Library and Information Science

View full text Add to dashboard Cite

show abstract

“…Untuk mengevaluasi sistem informasi dapat digunakaan model Hot-fit [1]. Model Hot-fit digunakan karena mampu menginterpretasikan penilaian secara komprehensif melalui pendekatan terhadap komponen penting sistem informasi dan kesesuaian antara komponen ini mempengaruhi manfaat bersih (net benefit) [2] [3].…”

Section: Pendahuluanunclassified

Evaluasi Sistem Informasi Penerimaan Mahasiswa Baru Menggunakan Metode Hot-Fit

kurniawan

2022

JIKO

View full text Add to dashboard Cite

Sistem Informasi Penerimaan Mahasiswa Baru (SIPMB) diharapkan akan memudahkan calon mahasiswa untuk mengetahui informasi seputar penerimaan mahasiswa baru (PMB), mendaftar, mengunggah berkas yang disyaratkan, melihat hasil verifikasi berkas, dan melihat hasil penerimaan mahasiswa baru secara daring. Meskipun demikian masih ada calon mahasiswa yang belum merasakan manfaat SIPMB secara maksimal. Maka diperlukan evaluasi terhadap SIPMB, agar diketahui faktor -faktor apa saja yang mempengaruhi pengguna SIPMB dalam mendapatkan manfaat dari SIPMB. Penelitian ini menggunakan model Hot-fit yang telah disesuikan dengan kondisi subjek penelitian. Ada delapan variabel yang digunakan dalam penelitian ini yaitu system quality (SQ), information quality (IQ), system use (SU), service quality (SERVQ), facilitating condition (FC), organization structure (OS) dan net benefit (NB). Penelitian ini menunjukkan bahwa system use dipengaruhi secara signifikan oleh system quality, information quality dan service quality. User satisfaction dipengaruhi signifikan oleh system quality, information quality, service quality dan facilitating condition. Net benefit atau manfaat bersih secara signifikan dipengaruhi oleh system use, organization structure dan user satisfaction.

show abstract