Mujtahidah, Syahriyatul (2016) Analisis Faktor-Faktor Yang Mempengaruhi Niat Pengguna Dalam Menggunakan Intelligent Software Deteksi Dan Penanganan Dini Penyakit Sapi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penerapan teknologi informasi pada sektor peternakan mulai
gencar. Dampak positif dan negatif yang ditemukan dalam
penerapannya membuat penerimaannya teknologi perlu
dianalisis. Pun dengan implementasi Intelligent Software
Deteksi dan Penanganan Dini Penyakit Sapi. Intelligent
Software Deteksi dan Penanganan Dini Penyakit Sapi yang
diberi nama Automatic Detection of Cow Disease (AD CODE)
yang saat ini dikembangkan juga dikhawatirkan mengalami
masalah yang sama. Selain itu, terdapat tantangan minimnya
penggunaan dan kurangnya pengetahuan peternak mengenai
teknologi informasi dalam implementasi aplikasi ini.
Dibutuhkan sebuah studi penerimaan teknologi karena
penerimaan teknologi menjadi salah satu indikator kesuksesan
implementasi.
Dengan memanfaatkan model konseptual penerimaan yang
dikembangkan oleh Far dan Moghaddam, penulis
mengidentifikasi faktor apa saja yang mempengaruhi niatan
pengguna dalam menggunakan sistem. Model tersebut akan
diuji dengan analisis Structural Equation Modeling (SEM) –
Partial Least Square (PLS) dengan bantuan aplikasi SmartPLS.
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Hasil dari penelitian menunjukkan bahwa variabel Attitude of
Confidence berpengaruh positif dan signifikan terhadap
variabel Behavioral Intention. Variabel Attitude of Confidence
sendiri dipengaruhi secara signifikan dan positif oleh variabel
Perceived Ease of Use. Temuan lainnya adalah variabel
Perceived Usefulness berpengaruh secara positif dan signifikan
terhadap variabel Behavioral Attitude. Dari hasil tersebut,
rekomendasi diberikan sesuai sebagai masukan bagi tim proyek
dalam melakukan implementasi.
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The application of information technology in the livestock
sector began in earnest. Positive and negative impacts that
found in its application, make acceptance of the technology
needs to be analyzed. Even with the implementation of
Intelligent Software Early Detection and Treatment of Cow
Disease. Intelligent Software Early Detection and Treatment of
Cow Disease, named Automatic Detection of Cow Disease (AD
CODE) which is currently being developed would also tend to
experience the same problem. In addition, there are challenges
regarding the implementation of this application, such as lack
of using information technology and lack of information
technology knowledge between farmers. Analyzing acceptance
of technology is needed because technology acceptance is one
indicator of the successful implementation.
By utilizing the acceptance model developed by Far and
Moghaddam, the author driving factors that influence user's
intentions in using AD CODE. The model will be analyzed by
Structural Equation Modeling (SEM)-Partial Least Square
(PLS) method using SmartPLS application.
Results from the study showed that Attitude of Confidence
variable has positive and significant effects on Behavioral
xiv
Intention. Attitude of Confidence itself effected significantly and
positively by Perceived Ease of Use variable. Other findings are
Perceived Usefulness variable has positive and significant
effects on the Behavioral Attitude variable. Recommendations
are presented from this result as advice to implementation for
project team.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSI 519.575 Muj a |
| Uncontrolled Keywords: | Intelligent Software Deteksi dan Penanganan Dini Penyakit Sapi, aplikasi AD CODE, model penerimaan Far dan Moghaddam, niat pengguna, SEM-PLS |
| Subjects: | Q Science > QA Mathematics > QA402 System analysis. |
| Divisions: | Faculty of Information and Communication Technology > Information Systems > 57201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 19 Nov 2019 07:22 |
| Last Modified: | 19 Nov 2019 07:22 |
| URI: | http://repository.its.ac.id/id/eprint/71873 |
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