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Analysis of Acceptance of Toddler Nutrition Monitoring Information System using Technology Acceptance Model (TAM)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 11 |
| Year of Publication: 2020 |
| Authors: Mukhammad Fakhir Rizal, Aris Puji Widodo, Oky Dwi Nurhayati |
10.5120/ijca2020920597
|
Mukhammad Fakhir Rizal, Aris Puji Widodo, Oky Dwi Nurhayati . Analysis of Acceptance of Toddler Nutrition Monitoring Information System using Technology Acceptance Model (TAM). International Journal of Computer Applications. 175, 11 ( Aug 2020), 23-30. DOI=10.5120/ijca2020920597
Abstract
This research is a quantitative research that has a goal to measure the level of user acceptance of the Mozita Application. Mozita application is an application used by midwives (cadres) to carry out the process of recording and reporting the nutritional status of toddler in the local health center area. In addition to information on the nutritional status of toddler, the calculation using the Z-Score formula, the Mozita application can present information used by related agencies for the purpose of monitoring and decision making in terms of health policy based on data on nutritional status of toddler. To be able to increase the use of the Mozita application, it is necessary to provide feedback from the user. TAM (Technology Acceptance Model) is a model chosen to analyze and understand the factors that influence the acceptance of the use of the Mozita Application, user feedback is done by utilizing the USE Questionnaire. This study used 96 respondents who were randomly selected from cadres, midwives, employees at the village level, district level, city level, and people who worked in the health department in the city area of Semarang. The technique used to measure the level of acceptance is done by providing an explanation and guidelines for using the Mozita application before the respondent fills in the questionnaire using a Likert scale. The questionnaire used is equipped with in-depth interviews for question items whose Likert scale value is less than equal to 3. The indepth interview aims to provide a focus on improving the Mozita application interface to be able to suit the needs of users. Based on testing and data analysis results, it was concluded that the 5 hypotheses H1, H2, H3, H4, and H5 adopted from the TAM model had a positive effect on the strength of the relationship (correlation) between strong variables, except the relationship between the Perceived Usefulness variable against Attitude Toward Using (H2).
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