AbstrakTujuan penelitian ini untuk mengetahui tingkat penerimaan dan pengguna terhadap penggunaan aplikasi SiKerja dilingkungan Kementerian Dalam Negeri dengan menggunakan pendekatan metode Technology Acceptance Model. yang menggunakan lima variabel yaitu perceived ease of use, perceived usefulness, attitude toward using, behavioral intention to Use dan actual system use. Jenis data yang digunakan adalah data primer yang diperoleh dari kuesioner. Jumlah sampel sebanyak 150 pegawai, kemudian data yang diperoleh dianalisis dengan metode Structured Equation Model-Partial Least Square (SEM-PLS) menggunakan software smartPLS. Hasil penelitian menunjukan terdapat 3 dari 5 hipotesis yang berpengaruh positif signifikan yaitu variabel perceived ease of use terhadap perceived usefulness dengan nilai koefisien jalur 0.69 dan nilai t- statistics 2.12, variabel perceived usefulness terhadap behavioral intention to Use dengan nilai koefisien jalur 0.75 dan nilai t-statistics 2.12, variabel perceived usefulness terhadap Attitude toward using dengan nilai koefisien jalur 0.60 dan nilai t-statistic 2.15. Namun ada juga 2 variabel yang tidak memiliki pengaruh signifikan yaitu, perceived ease of use terhadap attitude toward using dengan nilai koefisien jalur 0.61 dan nilai t-statistic 1.04 dan variabel perceived usefulness terhadap actual system use dengan nilai koefisien jalur 0.60 dan nilai t-statistic 1.02.Kata kunci: SiKerja, Technology Acceptance Model (TAM), Structured Equation Model (SEM), Partial Least Square (PLS).
Coffee is one type results current plantation this favored by some among. Indonesia is in the order to four Becomes Robusta coffee export and producer in the world. Appearance communities coffee lovers make coffee as provider field profession for part big resident. In Indonesia, especially in the Regency of Trunk, a lot very Public around who has coffee plantations including namely Robusta coffee and Arabica coffee (coffea arabica) local. For some new people Do you know and love coffee yet? can differentiate type of coffee visually. In the era of increasingly digitalization, advanced like this. There are several method for differentiate something object among them that is processing digital image. Frequent problems occur that is many less consumers in determine Robusta and Arabica coffee types. From trouble that, then researcher designing a system classification on robusta and Arabica coffee beans could obtained with implementation algorithm K-Nearest Lightweight Classification (K-NN). [1] combined with extraction feature Gray Level Co-Occurrence Matrix (GLCM). Digital image dataset used that is a total of 194 pictures where inside it there is type image coffee beans. Image dataset Robusta and Arabica coffee beans each local number of 97 images. Image dataset shared into 20 test data and 174 training data. Testing conducted using Matlab software produce score accuracy highest at distance pixels=1 and the value of K=1 with respect to angle of 45° by 95%.
AbstracThe purpose of this study was to determine the level of acceptance and users of the use of the SiKerja application within the Ministry of Internal Affairs by using the Technology Acceptance Model method approach. which uses five variables, namely perceived ease of use, perceived usefulness, attitude toward using, behavioral intention to use and actual system use. The type of data used is primary data obtained from questionnaires. The number of samples was 150 employees, then the data obtained were analyzed using the Structured Equation Model-Partial Least Square (SEM-PLS) method using smartPLS software. The results showed that there were 3 out of 5 hypotheses that had a significant positive effect, namely the variable perceived ease of use on perceived usefulness with a path coefficient value of 0.69 and a t- statistics value of 2.12, a variable perceived usefulness on behavioral intention to use with a path coefficient value of 0.75 and a t-value. statistics 2.12, the perceived usefulness variable towards Attitude toward using with a path coefficient value of 0.60 and a t-statistic value of 2.15. However, there are also 2 variables that do not have a significant effect, namely, perceived ease of use on attitude toward using with a path coefficient value of 0.61 and a t- statistic value of 1.04 and a perceived usefulness variable on actual system use with a path coefficient value of 0.60 and a t-statistic value of 1.02. .Keywords: SiKerja, Technology Acceptance Model (TAM), Structured Equation Model (SEM), Partial Least Square (PLS).
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