Jurnal TAM (Technology Acceptance Model)
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    ANALYSIS OF THE USE OF THE TYPING MASTER APPLICATION IN STUDENTS OF OFFICE ADMINISTRATION EDUCATION AT THE STATE UNIVERSITY OF SURABAYA USING TAM

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    This research is focused on users typing master in students in the Office Administration Education Study Program at State University of Surabaya to analyze how the influence of subjective norms, perceived ease of use and perceived usefulness on intentions to use behavior. This study uses quantitative research method with primary data analysis techniques using a questionnaire that is taken to the respondents. Data analysis method using Partial Least Square (PLS) managed using SmartPLs 3.0 software. The results shows that subjective norms have a positive and significant effect on usage behavior intention, perceived ease of use have a positive and insignificant effect on usage behavior intentions, perceived usefulness have a positive and significant effect on usage behavior intentions and perceived ease of use have a positive and significant effect on usage behavior intentions through perceived usefulness

    MEDICAL RECORD APPLICATION WITH MOBILE WEB-BASED BARCODE SYSTEM

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    Medical record is a file containing notes and documents regarding patient identity, examination, treatment, actions, and other services to patients at health care facilities. According to the Regulation of the Minister of Health of the Republic of Indonesia in 2008 in Article 1, medical records are files containing notes and documents regarding patient identity, examination, treatment, actions, and other services which have been provided to patients. In the development of the medical record system, the waterfall method is used which is a method which takes a systematic approach from the level of system requirements to the analysis, design, coding, testing, and maintenance stages. Many methods are used in system development such as the prototyping method, waterfall, and others. In this study, only the waterfall development method is used because each stage will be carried out sequentially from System Design, System Analysis, Coding, System Implementation, and System Maintenance. Based on the results of the study of research progress, analysis, design, and implementation of the design of a mobile web-based barcode medical record system at Bhakti Keluarga Husada Clinic, it can be concluded that the system design was carried out using the PHP programming language, MySQL database processing, and the application of a web mobile-based barcode medical record system at Bhakti Keluarga Husada Clinic

    MEASUREMENT OF ELECTRONIC LEARNING PERFORMANCE USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) METHOD AT THE VOCATIONAL SCHOOL OF PATRIA GADINGREJO

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    The application of electronic learning is carried out in the learning process at Patria Gadingrejo Vocational School to determine the factors that are still weak or require improvement and the factors that are considered successful or strong in assisting the application of electronic learning in the learning process. This study results in Aydin and Tasci's ELR model questionnaire consisting of 37 statements grouped into four factors. These factors are human, self-development, technology, and innovation as well as six questions for the perception of the usefulness of electronic learning. The location of this research is at Patria Gadingrejo Vocational School. Respondents in this study were the principal, vice principal of the curriculum section, the school treasurer, the person in charge of the school computer laboratory, and teachers who are experts in e-learning. Data processing is carried out to examine the factors that influence the perceived usefulness of e-learning by using regression analysis and also the level of readiness for the application of electronic learning at Patria Gadingrejo Vocational School with Aydin and Tasci's ELR model. Aydin & Tasci's electronic learning readiness (ELR) model applied to Patria Gadingrejo Vocational School gives results that are not ready for the application of electronic learning and requires a slight improvement

    SENTIMENT ANALYSIS OF PERFORMANCE EFFECTIVENESS OF MALIOBORO PEDESTRIAN USING SENTISTRENGTH METHOD ON TWITTER

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    Sentiment analysis is a study to analyze public opinions, sentiments, evaluations, attitudes, and emotions towards services, products, public issues, organizations, general topics, etc. Sentiment analysis is a computational research of various opinions and emotionsexpressed textually and opinions in the form of text can be obtained through social media such as Twitter. The Malioboro area as one of the famous tourist destinations in Yogyakarta has pedestrian facilities for visitors. In the area, there are many pedestrian facilities including pedestrian paths, sidewalks, zebra crossings and parking. This study aims to measure the effectiveness of the use of the pedestrian area in Malioboro based on opinions on Twitter. This study uses the Sentistrength method. The results shows that from 3,572 Tweet data from 2016 to 2020, the results of Positive sentiment are 55.81%, the results of Neutral sentiment are 36.18% and the results of negative sentiment are 8.01%

    ANALYSIS OF THE USE OF MENDELEY USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) APPROACH: STUDY IN STUDENTS OF OFFICE ADMINISTRATION EDUCATION IN SURABAYA STATE UNIVERSITY

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    The development of information technology makes it easier for humans to complete work. Work that previously required a lot of manpower to complete can now be completed with the help of technology.  As in writing citations, it can be done automatically with the help of the Mendeley Reference Management Software. The purpose of this study is to determine the use of Mendeley in students of the Surabaya State University, Office Administration study program using the Technology Acceptance Model (TAM) approach.  The research carried out is quantitative research. The study population is 62 students of the Office Administration Education study program, Surabaya State University. The data analysis tool used is Partial Least Square (PLS).  The results of this study are: (1) Attitude towards using has a positive effect and significant on behavioral intention of use, (2) Perceived ease of use has no positive effect and significant on behavioral intention of use, (3) Perceived usefulness has a positive effect and significant on behavioral intention of use, (4) Perceived ease of use has a positive effect and significant on perceived usefulness, (5) Indirectly, Perceived ease of use has a positive and significant effect on behavioral intention of use through perceived usefulnes

    COMPARISON OF TREE IMPLEMENTATION, REGRESSION LOGISTICS, AND RANDOM FOREST TO DETECT IRIS TYPES

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    Iris is a genus of 260-300 species of flowering plants with striking flower colors and has a dominant color in each region. The name iris is taken from the Greek word for rainbow, which is also the name for the Greek goddess of the rainbow, Iris. The number of types of iris plants with almost the same physical characteristics, especially in the pistil and crown, causes the misdetection of iris plant types. Iris plants are deliberately used because data is already available digitally on the internet and software such as orange and is widely used as a material for classifying objects. This research was conducted to classify iris plant types using three algorithms, namely Tree algorithm, Regression Logistics, and Random Forest. Classification algorithms are a learning method for predicting the value of a group of attributes in describing and distinguishing a class of data or concepts that aim to predict a class of objects whose class labels are unknown. The results showed the largest AUC (Area Under Curve) value obtained by the Random Forest method. AUC accuracy is said to be perfect when the AUC value reaches 1,000 and the accuracy is poor if the AUC value is below 0.500. As for the precision value of the three models used Random Forest has the highest precision value. From the data tests that have been done training and testing can be seen that the level of accuracy of testing of the three models where the Random Forest model is superior as a method for classification of irises

    THE EFFECT OF PERCEIVED USEFULNESS AND PERCEIVED EASE OF USE ON THE GOOGLE CLASSROOM AGAINST LEARNING MOTIVATION

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    This study aims to determine: (1) the effect of Perceived Usefulness on the use of Google Classroom on learning motivation, (2) the effect of Perceived Ease of Use on the use of Google Classroom on learning motivation, (3) the effect of Perceived Usefulness and Perceived Ease of Use on the use of Google Classroom on learning motivation. This research consists of several constructs. Those are Perceived Usefulness (X1), Perceived Ease of Use (X2) Learning Motivation (Y). The data collection method used is a research questionnaire whose data are analyzed using the SPSS 25 program with 75 respondents from Class 2017, students of Office Administration Education, Faculty of Economics, Surabaya State University. This research will be conducted with quantitative methods using multiple linear regression analysis. The results of this study indicate that there is a significant effect of Perceived Usefulness on learning motivation. It can be seen from the T-test results on X1, which is significant (X1) 0.001 <0.05, so that H1 is accepted. Perceived Ease of Use has a considerable influence on learning motivation. It can be seen from the T-test results on X2 with a significant value of 0.003 <0.05, so that H2 is accepted. The influence of Perceived Usefulness and Perceived Ease of Use on learning motivation has a percentage of 51.3%. Meanwhile, other variables that influence and are examined yet in this study amounted to 48.7%. It shows that if the respondent feels that Google Classroom is valuable and easy to use, the respondent will use Google Classroom.Â

    PERANCANGAN SISTEM PENUNJANG KEPUTUSAN UNTUK PENERIMAAN KARYAWAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING DI CV SURYA ABADI

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    Pengisian jabatan kosong pada proses penerimaan karyawan sering mengalami kesulitan karena banyaknya calon karyawan yang mampu menempati jabatan tersebut dengan pecocokan profil dan kemampuan pendidikan dari calon karyawan yang kurang teridentifikasi dengan baik. Untuk membantu penentuan seorang calon karyawan yang layak maka dibutuhkan sebuah sistem pendukung keputusan. Pada penelitian ini akan membuat rancangan sebuah sistem untuk mencari alternative terbaik berdasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode SAW (Simple Additve Weighting). Penelitian dilakukan dengan mencari nilai berbobot untuk setiap atribut, kemudian dilakukan perankingan untuk menentukan calon karyawan terbai

    APRIORI ALGORITHM FOR FINDING RELATIONSHIPS BETWEEN STUDENT SELECTION PATHWAYS SCHOOL DEPARTMENTS WITH STUDENT GRADUATION LEVELS

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    The selection process for New Student Admissions (PMB) of State Islamic Universities in Indonesia, especially at UIN Raden Intan Lampung for undergraduate (S1) programs, is pursued through 3 (three) different selection patterns. Selection of SPAN-PTKIN, UM-PTKIN, and UM independent. The three entry paths have their own character, according to their functions and objectives. With these differences, this study identifies the relationship between student entry pathways, majors/types of previous high-level schools with GPA scores, and the length of the study period of students. Data mining in this study is to uses a priori algorithm. The Apriori algorithm is one of the classic data mining algorithms. The a priori algorithm is used to determine the most dominant factor in predicting student graduation rates. A priori algorithms are used so that computers can learn association rules, looking for patterns of relationships between one or more items in a dataset. The data in this study were taken from student data in SIAKAD, namely the student data of Raden Intan Lampung State Islamic University (UIN), Islamic Community Development Department, Class of 2015, the data used included the type of school of origin, entry route, GPA, and length of time. study period. From the results of the research, it is found that the rules or regulations that graduate students with a study period of 4 years / less and a GPA of 3.51 - 4.00 are students who enter through the Academic Interest (PMA) search path and from their school of high school (SMAN) with Value Support. 14,286 and 60% confidence value. These results can be used by universities in encouraging students from other entry paths and from other schools to graduate on time, such as students who entered through the PMA route and from high school from SMAN with certain efforts

    SISTEM INFORMASI PENJUALAN PRODUK BERBASIS WEB PADA CHANEL DISTRO PRINGSEWU

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    Chanel Distro Pringsewu adalah sebuah toko yang menjual kaos, jaket,  kemeja, sweeter, kaos kerah dll yang berada di pusat perbelanjaan pringsewu. Sistem penjualan, pemasaran dan promosi yang dipakai saat ini masih menggunakan sistem secara manual. Sangat perlu adanya kemudahan pelayanan untuk memudahkan pelanggan yang jauh dari jangakauan. Untuk itu dirancang sistem penjualan online pada Chanel Distro Pringsewu berbasis web dengan bahasa pemrograman PHP dan MySQL secara online yang dikenal dengan istilah E-Commerce (Elektronic commerce) .Aplikasi ini mempermudah pelanggan membeli produk Chanel Distro Pringsewu secara online kapan saja dan dimana saja tanpa menyita waktu,dan pelanggan juga dapat mengetahui informasi produk apa saja dan bagaimana disain yang tersedia di Distro Pringsewu.Â

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    Jurnal TAM (Technology Acceptance Model)
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