Jurnal TAM (Technology Acceptance Model)
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ANALYSIS OF MICROSOFT STREAM E-LEARNING FOR AUTOMOTIVE COMPANY EMPLOYEES USING THE UTAUT MODEL
No full textCompetence and knowledge of employees need to be improved continuously. This is in order to improve performance and increase company productivity. This performance indicator becomes difficult to achieve during the COVID-19 pandemic. Microsoft Stream e-Learning was chosen as a solution to continue carrying out competency improvement activities. This study aims to understand the factors that influence employee attitudes towards e-Learning. There were 138 employees who participated in the survey conducted by the researcher. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) method with variables including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention to use, Gender, Age, Instructor Quality, and Support System Quality. The test results from the study show a positive and significant effect on the use of Microsoft Stream e-learning with learning facilities, the quality of the instructor and the quality of the support system
MARKET BASKET ANALYSIS ON TRANSACTION DATA USING THE APRIORI ALGORITHM
No full textThis research aims to get information about the relationship between sales patterns carried out by CV. Dian Abadi Jaya workshop by using APRIORI algorithms through transaction data sets carried out by customers. The subject of research is a record of shopping cart transactions made by customers, namely vehicle parts sales transactions and vehicle repair service transactions. The data collection techniques used are interviews and documentation. The criteria used in this research are a minimum of frequent itemset of 20 transactions with support criteria of 1,7%, confidence value of 40% and lift ratio value above 1. The results of the research have produced 9 sales pattern relationships with the highest confidence of 100%. The results that have been obtained are expected to help the CV. Dian Abadi Jaya workshop in making a decision for the next sale
E-COMMERCE INFORMATION SYSTEM USING TECHNOLOGY ACCEPTANCE MODEL APPROACH
No full textE-commerce websites are one of the most accessed in Indonesia during the covid-19 pandemic. In research conducted for clothing product brands from PT. Mong Kreasi Indonesia, the problem that occurs is the company has not made full use of the information system. The company only uses media social like Instagram and WhatsApp for sales and communication order. Processing and recording of data and transactions are also still manually. The purpose of this research is to design an e-commerce sales information system, that is useful for solving existing problems. To measure the achievement of the designed system, a questionnaire was distributed to the respondents. Total of 70 questionnaires were answered and then tested using the Technology Acceptance Model method using the SMART PLS application. The results is variable Attention to Use on Behavioral Intention to Use has an influence level of 5.063, Perceived Ease of Use on Attention to Use has an influence level of 2.569, Perceived Usefulness on Attention to Use has an influence level of 3.382, and Perceived Usefulness on Behavioral Intention to Use has an influence level of 2.352. Each value is above 1.996, this means each variable has a positive and significant effect in benefits, easy to use, gives satisfaction to users and users has the intention to recommend this system to another
DEVELOPMENT OF GAME SEASON EXPLORER USING CONSTRUCT 2
No full textChildren self-taught install many games on their gadgets so they can play in their free time. Because children feel bored, games are a solution for parents to overcome them. In addition to encouraging children's creativity and imagination, playing games can develop skills as well as a means for developing thinking patterns/ problem solving, using children's logic and instincts whose hopes can also develop their talents or abilities and direct them to positive things. With the waterfall method, game development is made manually and in stages starting from the visual background, actors, and other elements in the game, using the construct 2 application as supporting software in game development. The quality of the game based on the results of the questionnaire given to the respondents is in the existing picture. The game "Season Explorer" still has a few problems during the game. 17.6% of all respondents' opinions, respondents gave various suggestions. These suggestions are to add more obstacles, improve the level of the game, actors can be developed again, add more musical instruments which are suitable for children's daily lives because the game is more specifically for the children's category and overcome errors when the game is playe
IMPLEMENTATION OF A WEB-BASED EXPERT SYSTEM FOR DIAGNOSIS OF RED BLOOD CELL PRODUCTION DISORDERS
No full textThe expert system is one of the branches of artificial ingenuity that studies how to adopt an expert's way of thinking in solving a problem and making a decision to draw conclusions. In this case an expert system is used to diagnose anemic diseases. Problems that arise in the community such as not knowing the characteristics of the disease, its impact is felt for a long time, and being lazy to consult a doctor. Overcoming these problems takes a lot of time and money, so an application is needed that can help doctors diagnose web-based red blood cell production disorders. The use of web technology combined with expert systems in supporting decisions, can better socialize the system. The data collection methods used are literature study methods, interviews with health experts and documentation. Fact-finding in expert systems uses the forward chaining method, to seek conclusions from existing facts. The application development phase includes interface design and system testing. The result of this study is to produce an output in the form of an application to diagnose impaired red blood cell production. The black box test shows that the program is in accordance with the knowledge of health experts regarding impaired red blood cell production
INFORMATION SYSTEM FOR TAX CONSULTANT SERVICE PROVIDERS (C-TAX) BASED ON WEB-BASED WITH MULTI-ATTRIBUTE UTILITY THEORY (MAUT) METHOD
No full textTax is a mandatory contribution to the state owed by an individual or entity that is coercive under the law, with no direct compensation, and used for state purposes. But many people still do not understand taxation, so some people, including taxpayers, need help or consultation from professional, that is Tax Consultants. However, in the digital era, there are still many people who are looking for tax consultants only through recommendations from colleagues or acquaintances. This designed system can help taxpayers in finding tax consultants using the Multi Attribute Utility Theory (MAUT) method, this method can provide tax consultant recommendations based on the selected criteria. Tests carried out on this system uses Technology Acceptance Model (TAM) method based on data obtained from 89 respondents and processed using the Smart-PLS application. The test results found that the five hypotheses were well received because the value of the t-statistics in each assumption was more significant than the t-table value of 1.989 and the p-value smaller than 0.05. In addition, the percentage correlation value of the hypothesis shows that PEOU influences PU by 61%, PU and PEOU influence ATU by 62%, and PU and ATU affect BITU by 47%
IMPLEMENTATION OF THE SELECTION OF APPAREL SUPPLIERS USING THE AHP (ANALYTICAL HIERARCHY PROCESS) METHOD AT PT. IWAK BANDENG BEKASI
No full textThis research was conducted in a company, namely, PT. Iwak Bandeng, will develop partnership relationships with apparel suppliers. The problem that often occurs is when choosing a supplier. The sample of this research is the decision-makers and the parties who are in the purchasing and warehouse departments who know the performance of suppliers. The sampling technique uses judgment sampling because the AHP method requires dependence on a group of experts according to the type of specialist involved in making decisions. This study uses the AHP method assisted by expert choice software. From the results of the assessment of the importance of the criteria in the selection of suppliers, the priority/weighting scales are as follows: priority I quality (0.419), priority II price (0.320), priority III delivery accuracy (0.112), priority IV accuracy in quantity (0.088) and priority V service has a priority scale (0.061). From the results of the assessment of the level of alternative importance in the selection of suppliers, the priority/weighting scale is as follows: priority I supplier CAB (0.481), priority II supplier EF (0.314), priority III supplier RJ (0.205)
ANALYSIS OF E-LEARNING ACCEPTANCE IN GENERATION Z STIKI INDONESIA DURING THE COVID-19 PANDEMIC
No full textE-Learning has been applied for a long time in Indonesia and other developed and developing countries. However, research by Salloum et.al., said that E-Learning systems in developing countries were partially or completely not adopted; utilization has not been completed and is considered less than a satisfactory level. This refers to the lack of understanding of the factors that influence adoption. One of the latest studies on distance learning during the COVID-19 pandemic said that there were several obstacles experienced by students, and teachers. This study aims to analyze the adoption of E-Learning technology in Generation Z at one of university in Bali during the COVID-19 pandemic. Results of this study indicate that there is a positive impact of computer self-efficacy and accessibility on the perception of the ease with which students use the E-Learning system. The factors of information quality and content quality positively affect the students' perceived ease of use and usefulness of the E-Learning system. It is this perception of the usefulness and ease of use of the E-Learning system that has an increasing impact on students' intentions and attitudes to use the E-Learning system in the future
PROTOTYPE DESIGN OF HONEY EXTRACTOR MACHINE USING ARDUINO MICROCONTROLLER WITH INTERNET OF THINGS (IOT) MODEL
No full textThe application of appropriate technology based on the Adruino Uno R3 Microcontroller using the Android Operating System has been tested in this research. Sensor technology coupled with Arduino is applied to control the electric motor mounted on the honey bee extractor. It is proven that this can increase harvest efficiency because honey bees can produce directly without building a honeybee nest, which takes 14 days. In addition to time efficiency, the extractor processing process is also more efficient and optimal because all the honey in the hive is removed maximally without damaging the honeybee nest structure. A honey extractor is a tool used to squeeze honeycomb which has been produced by bees and has a high economic valu
LAND COVER SPECTRAL DATA CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK (ANN)
No full textBamboo is one of the plants in the tropics which is also a lignocellulosic natural material which can be used as a substitute for wood. There are hundreds of types of bamboo in Indonesia, where each type has its own characteristics in its use so that bamboo has potential in the industrial sector where when combined with innovation and creativity it has high economic value and is in demand by domestic and foreign consumers. The use of "Remote Sensing" technology, especially in terms of identifying bamboo and vegetation and other objects, has been proven through research related to land cover classification. This study aims to classify land cover spectrum data using an Artificial Neural Network algorithm.Classification of 36 data consisting of light bamboo, dark bamboo, dry soil, wet soil, bricks, concrete, grass, and taro leaves was evaluated using accuracy techniques. The resulting accuracy is 94.45%