Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Engineering Science Letter Bincang Sains dan Teknologi
Yolanda Sabrina Salma
Universitas Ahmad Dahlan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Measuring the Application Readiness Level of AKKU Online Mobile Attendance System using HOT-fit Method Tawar; Yolanda Sabrina Salma; Jehanie May Macasawang
Engineering Science Letter Vol. 1 No. 01 (2022): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.064 KB) | DOI: 10.56741/esl.v1i01.62

Abstract

The application of attendance in an institution is necessary to determine the attendance of employees and all staff. The AKKU Mobile online attendance application is an application intended for teachers. However, application users found several problems related to the quality of application services, such as facial scans were not accurate and application errors. The purpose of this study is to determine the level of readiness of the application of the AKKU Mobile application. This measurement uses ARL (Application Readiness Level). The approach used in this research is HOT FIT. Respondents are teachers who use the AKKU Mobile application as many as 173 people. The instrument used was a questionnaire distributed after going through the validity and reliability tests. The results showed that the ARL value on the Human dimension was 73.19%, the organization was 78.37%, and the Technology dimension was 70.58%. The average ARL of human, organization and technology is 74% which is in the pretty good category, or the application execution is successful. However, it is necessary to make modifications and improvements based on the suggestions given so that the ARL value increases, which impacts the quality of the attendance process.
Model HOT FIT dalam Manajemen Sistem Informasi Tawar; Ari Fajar Santoso; Yolanda Sabrina Salma
Bincang Sains dan Teknologi Vol. 1 No. 02 (2022): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.311 KB) | DOI: 10.56741/bst.v1i02.144

Abstract

Organisasi ketika menerapkan sistem atau aplikasi untuk berbagai keperluan tentu berharap agar dapat digunakan secara optimum. Untuk memastikan kondisi ini, pengukuran tingkat ketersiapan pengguna menjadi penting. Kajian ini menjelaskan HOT FIT sebagai salah satu model untuk memahami aspek-aspek penting dalam penerapan aplikasi dan pemanfaatannya dalam pengukuran tingkat kesiapan. Ada beberapa kelebiha metode ini selain sederhana juga komprehensif. Kajian-kajian lain mendukung efektivitas metode ini. Indkator yang digunanaka dengan menggunakan metode HOT FIT dalam kajian ini dapat digunakan sebagai landasan proses pengukuran.
Co-Authors Ari Fajar Santoso Jehanie May Macasawang Tawar