This study is preliminary in the development of a new model whereby combining and integrating an existing model, the adoption model of information technology with the technology acceptance model. The development of this model is done by using the logic of the IPO (input-process-output) and the causal model by combining, adopting, and adapting the previous model. The effect of the formed path consists of 16 links and produces 11 variables. The existing variables will be formed into 55 indicators, where one variable creates five indicators. The process of developing this model will assist researchers in testing the information technology adoption model and the technology acceptance model so that it will get the effect that occurs in both models. This research will also contribute to further research, especially in the study of information systems, which will provide a theoretical basis for modeling. Besides, the transparency of the development and proposed models, especially in the instruments used, will be taken into consideration in conducting further research .
Private Universities (PTS) compete so tight in providing performance in producing quality graduates. In addition, the number of universities in Indonesia which counts a lot both PTN and PTS makes the higher competition between universities as well. So the university strives to improve quality and provide the best education for service recipients, namely students, where one of the problems if there are some students who are late graduating or not on time so that it becomes an obstacle to the progress of the college. Prediction of students graduating on time is needed by university management in determining preventive policies related to early prevention of Drop Out (DO) cases. This prediction aims to determine the academic factors that influence the period of study and build the best prediction model with Data Mining techniques. There are 11 attributes used for Data Mining Classification, namely NPM, Gender, Age, Department, Class, Occupation, Semester 1 Achievement Index, Semester 2 Achievement Index, Semester 3 Achievement Index, Semester 4 Achievement Index and Information as result attributes. From the results of evaluations and validations that have been carried out using the RapidMiner tools the accuracy of the Decision Tree (C4.5) method is 98.04% in the 3rd test. The accuracy of the Naïve Bayes Method is 96.00% in the 4th test. And the accuracy of the K-Nearest Neighbor Method (K-NN) of 90.00% in the second test.
The development of SMEs, especially those based on the manufacturing industry, is highly developed along with the significant market demand. The increasingly important information technology in SMEs will have an impact on increasing productivity, marketing, and efficiency. In this research, measurement of readiness level in the adoption of information technology (IT) will be carried out used to explore the level IT application readiness and to examine factors which influences its application along with the amount of index value determined by the threshold. The survey was conducted on stakeholders of Small and Medium Enterprises in Jakarta, which was done using interview and questionnaire techniques with a response (n = 68). Interviews and questionnaires are conducted on policymakers in SMEs companies so that the data obtained will provide accurate results. Data will be processed using partial least squares structural equation modelling (PLS-SEM) software. The results shown by the majority of respondents (54.4%) answered that the percentage of the level of readiness of SMEs towards IT adoption was more than 50%. Meanwhile, 31.7% of respondents stated that for a percentage of more than 75%. Respondents taken were only about five regions of Jakarta. Also, more comprehensive results will be used as a reference when respondent data will cover all regions of Java. From the results of this study can be used for further research related to the level of readiness for IT adoption in SMEs
World wide web merupakan salah satu aspek terpenting dari proses menghasilkan informasi yang ditujukan bagi masyarakat informasi. Banyaknya website yang berada pada domain ID .ac.id yang diperuntukkan bagi lembaga perguruan tinggi berfungsi sebagai media promosi dan peningkatan layanan mutu pendidikan. Tujuan penelitian ini adalah mengidentifikasi dan mengukur seberapa besar kontribusi End-User Computing Satisfation (EUCS) dan model WebQual 4.0 yang terdiri dari dimensi usability, information quality dan services interaction terhadap kepuasan pengguna atas website Sekolah Tinggi ABC. Metode penelitian menggunakan pendekatan kuantitatif melalui analisis structural equation modeling (SEM) dengan teknik confirmatory factor analyis. Hasil yang diperoleh dari analisis menunjukkan bahwa End-User Computing Satisfaction (EUCS) berpengaruh signifikan terhadap Kepuasan Pengguna sedangkan model WebQual 4.0 melalui dimensi usability dan service interaction berpengaruh signifikan terhadap Kepuasan Pengguna.
Human resources (HR) plays an important role for the sustainability of higher education therefore xyz universities in conducting the process of selection of employees requires a truly competent employee in their respective fields. The problem in this study is that the selection process of employees is still subjective not based on pure test results and there is no proper method in employee acceptance. The purpose of this research is to get the right staff according to the needs of the college. There are five criteria that will be used in this study are education, work experience, psychotest scores, age, and interview scores. The data collection methods used in this study are interviews, library studies, and observations. The research methods used are the Exponential Comparison Method (MPE) and for the calculation of mpe methods using the python programming language. The result of this study is that mpe method can be applied to determine the admission of employees at xyz college.
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