Syaka, Annisa Khodista
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Penerapan Technology Acceptance Model (TAM) dalam Pengujian Model Penerimaan Aplikasi MasjidLink Mulyanto, Agus; Sumarsono, Sumarsono; Niyartama, Thaqibul Fikri; Syaka, Annisa Khodista
Semesta Teknika Vol 23, No 1 (2020): MEI 2020
Publisher : Semesta Teknika

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Abstract

MasjidLink is an Android-based application to provide news and information relating to mosques in the Yogyakarta Special Region. Behavioral aspects that influence tamir when using MasjidLink are need to measure, so that can define the level of acceptance. The TAM (Technology Acceptance Model) approach was used in this research to analyze factors of takmir acceptance towards MasjidLink. The measurement of acceptance  towards MasjidLink with TAM is expected to showing the actual perspective of tamir so can  helps the further developing of this applications. Testing research instruments through validity and reliability. All research instruments have a value of more than 0.5 so that it can be declared as valid instruments. TAM variable in this study has an alpha cronbatch value of more than 0.7, so that all of these research variables are said to be reliable. Perceived ease of use has a percentage value 72.68% which states that mosque takmir agrees with the ease of use of the MasjidLink application. Perception of usefulness has a percentage 72.11% which states that the mosque takmir agrees with the usefulness of the MasjidLink application. Acceptance of the application has a percentage value 71.31% which states that the mosque takmir agrees with the acceptance of the MasjidLink application. The results of descriptive statistical analysis on TAM have the smallest percentage of variables, there is the percentage of MosqueLink acceptance with the value is 71.31%. This can be used to enhance the development of MasjidLink by focusing on the acceptance of the MasjidLink application. MasjidLink is an Android-based application to provide news and information relating to mosques in the Special Region of Yogyakarta. Currently, MasjidLink is a new mosque information management application that was launched and started to implemented by several takmir mosques in the Special Region of Yogyakarta. Takmir's acceptance of the MasjidLink application is one of the factors that support the continued use of the application. The measurement of the mosque takmir acceptance on the MasjidLink application is done by the TAM (Technology Acceptance Model) method. This study aims to evaluate the application of MasjidLink application with the TAM method so that the perception of takmir and the factors that influence takmir in using the application can be known. The research method used is a quantitative method, which uses a questionnaire as a tool to collect data on 125 users of the MasjidLink application. The results showed acceptance of mosque takmir on MasjidLink application had a positive influence on 3 TAM variables, namely the perception of user convenience 72.68%, perceived usefulness of 72.11%, and technology acceptance 71.31%. This shows that the application developer can focus on improving the acceptance of the MasjidLink application variable because the variable percentage is smaller than other variables.
Correlation Analysis and Prediction of Confirmed Cases of Covid 19 and Meteorological Factor Praditya, Ni Wayan Priscila Yuni; Syaka, Annisa Khodista; Anggraini, Regina
Applied Information System and Management (AISM) Vol. 7 No. 1 (2024): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v7i1.34088

Abstract

The spread and resilience of Covid 19 in an environment depend on meteorological factors. The relationship between the covid case and meteorological factors needs to be examined more deeply. This study aims to determine the relationship between confirmed cases of Covid 19 and meteorological factors, namely temperature and humidity levels. The data used in this study are the number of confirmed cases of Covid 19, the average temperature, and the average humidity level in five states in the United States. Data were obtained from 22 January - 30 September 2020. This study used the Pearson and Spearman Correlation Analysis to find an effect from temperature and humidity levels to increase the number of confirmed cases of Covid 19. The Business Intelligence approach with LSTM is also carried out by predicting a multivariate time series in confirmed cases of Covid 19. Based on the results of Pearson Correlation and Spearman Correlation, it is stated that humidity and temperature have a correlation that affects the spread of Covid 19. The use of multivariate time-series can predict cases of confirmed Covid with meteorological factors such as temperature and humidity levels. The prediction results show that an increase in Covid-19 cases in the States of California, Texas, Florida, Illinois, and Georgia can still occur.